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Free Download Linkedin - Microsoft Azure DevOps Engineer Expert (AZ-400) Cert Prep Released 04/2025 With Paul Furlan, Microsoft Press MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill Level: Advanced | Genre: eLearning | Language: English + subtitle | Duration: 16h 8m 59s | Size: 2.31 GB Prepare to tackle the Microsoft Azure DevOps Engineer Expert (AZ-400) certification exam. Course details Looking to get ready for the Microsoft Azure DevOps Engineer Expert (AZ-400) certification exam? In this course, designed by Microsoft Press, instructor Paul Furlan covers the essential tools and services required to design and implement Microsoft Azure DevOps solutions. This certification is an ideal fit for any IT professional whose responsibilities include designing and implementing strategies for collaboration, coding, infrastructure, source control, security, compliance, continuous integration, testing, delivery, monitoring, and feedback. Homepage: https://www.linkedin.com/learning/microsoft-azure-devops-engineer-expert-az-400-cert-prep [b]AusFile[/b] https://ausfile.com/2tv67eeo12nk/adcvn.Linkedin..Microsoft.Azure.DevOps.Engineer.Expert.AZ400.Cert.Prep.part2.rar.html https://ausfile.com/6sujvzjwsqsz/adcvn.Linkedin..Microsoft.Azure.DevOps.Engineer.Expert.AZ400.Cert.Prep.part1.rar.html https://ausfile.com/wn5p7cghnfek/adcvn.Linkedin..Microsoft.Azure.DevOps.Engineer.Expert.AZ400.Cert.Prep.part3.rar.html Fileaxa https://fileaxa.com/6uo9r00vfpne/adcvn.Linkedin..Microsoft.Azure.DevOps.Engineer.Expert.AZ400.Cert.Prep.part1.rar https://fileaxa.com/dc8z9xaj5kty/adcvn.Linkedin..Microsoft.Azure.DevOps.Engineer.Expert.AZ400.Cert.Prep.part2.rar https://fileaxa.com/x6mbmd7vmjc1/adcvn.Linkedin..Microsoft.Azure.DevOps.Engineer.Expert.AZ400.Cert.Prep.part3.rar TakeFile https://takefile.link/450w29g32mdr/adcvn.Linkedin..Microsoft.Azure.DevOps.Engineer.Expert.AZ400.Cert.Prep.part3.rar.html https://takefile.link/eqqopd2x3k9j/adcvn.Linkedin..Microsoft.Azure.DevOps.Engineer.Expert.AZ400.Cert.Prep.part2.rar.html https://takefile.link/pnvltsccfm9w/adcvn.Linkedin..Microsoft.Azure.DevOps.Engineer.Expert.AZ400.Cert.Prep.part1.rar.html Rapidgator http://peeplink.in/12aa314fa1a9 Fikper Free Download https://fikper.com/8c9xhPubg2/adcvn.Linkedin..Microsoft.Azure.DevOps.Engineer.Expert.AZ400.Cert.Prep.part2.rar.html https://fikper.com/IAAySziMuo/adcvn.Linkedin..Microsoft.Azure.DevOps.Engineer.Expert.AZ400.Cert.Prep.part3.rar.html https://fikper.com/XbnGx0kZnH/adcvn.Linkedin..Microsoft.Azure.DevOps.Engineer.Expert.AZ400.Cert.Prep.part1.rar.html No Password - Links are Interchangeable

Free Download AWS Certified Machine Learning Engineer - Associate By Nick Garner Released 4/2025 By Nick Garner MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 9h 36m | Size: 2.24 GB Table of contents Introduction AWS Certified Machine Learning Engineer - Associate: Introduction Module 1: Data Preparation for Machine Learning Module Introduction Lesson 1: Data Ingestion and Storage Basics Learning objectives 1.1 Course Overview 1.2 Overview of Common Data Formats 1.3 Ingesting Data with Amazon S3 and SageMaker Data Wrangler 1.4 Data Ingestion Demonstration 1.5 Data Storage Optimization and Transfer in AWS Lesson 2: Data Transformation and Feature Engineering with SageMaker Learning objectives 2.1 Data Cleaning and Preprocessing with SageMaker Data Wrangler 2.2 Data Preprocessing Demonstration 2.3 Feature Scaling and Encoding Techniques 2.4 Handling Missing Values and Outliers Lesson 3: Preparing Data for Modeling Learning objectives 3.1 Validating Data Quality with AWS Tools 3.2 Configuring Data for SageMaker Training Jobs 3.3 Managing SageMaker Feature Store 3.4 SageMaker Feature Store Demonstration Module 2: ML Model Development Module Introduction Lesson 4: Choosing and Training Models in SageMaker Learning objectives 4.1 Overview of SageMaker's Built-in Algorithms and JumpStart Models 4.2 SageMaker Algorithms Demonstration 4.3 Setting Up and Running SageMaker Training Jobs 4.4 SageMaker Training Demonstration 4.5 Hyperparameter Tuning with SageMaker Automatic Model Tuning 4.6 Hyperparameter Tuning Demonstration 4.7 Preventing Overfitting and Underfitting 4.8 Model Over/Underfitting Demonstration Lesson 5: Model Evaluation and Bias Detection Learning objectives 5.1 Model Evaluation Metrics: Accuracy, Precision, and Recall 5.2 Using SageMaker Clarify for Bias Detection and Interpretability 5.3 Comparing Model Performance Using A/B Testing 5.4 Model A/B Testing Demonstration 5.5 Managing Model Versions with SageMaker Model Registry 5.6 Model Registry Demonstration Module 3: Deployment and Orchestration of ML Workflows Module Introduction Lesson 6: Deploying Models with SageMaker Learning objectives 6.1 Real-Time Inference with SageMaker Endpoints 6.2 Real-Time Inference Demonstration 6.3 Batch Inference and Asynchronous Inference 6.4 Batch and Asynchronous Inference Demonstration 6.5 Using SageMaker Neo for Edge Deployment 6.6 SageMaker Edge Deployment Demonstration Lesson 7: Automating ML Workflows with SageMaker Pipelines Learning objectives 7.1 Building and Automating ML Pipelines in SageMaker 7.2 SageMaker Pipeline Demonstration 7.3 Integrating Data Processing and Training Steps 7.4 Training and Data Processing in SageMaker Pipelines Demonstration 7.5 Triggering Pipelines with EventBridge for Retraining 7.6 Triggering SageMaker Pipelines via EventBridge Demonstration Module 4: ML Solution Monitoring, Maintenance, and Security Module Introduction Lesson 8: Monitoring and Optimizing ML Solutions Learning objectives 8.1 Using SageMaker Model Monitor for Data Drift and Quality 8.2 SageMaker Model Monitor Demonstration 8.3 Setting Up Alerts and CloudWatch Dashboards 8.4 Cost Optimization with Auto-scaling and SageMaker Savings Plans 8.5 SageMaker Auto-scaling Demonstration Lesson 9: Securing ML Models and Data in SageMaker Learning objectives 9.1 IAM Roles and Permissions for SageMaker 9.2 IAM Demonstration 9.3 VPC Configurations for Secure Endpoint Deployment 9.4 VPC Demonstration Module 5: Exam Preparation and Strategy Module Introduction Lesson 10: Exam Strategies and Practice Learning objectives 10.1 Key Focus Areas for the AWS ML Engineer Associate Exam 10.2 Exam Question Types and Tips for Multiple-Choice Questions 10.3 Time Management and Final Exam Day Tips Summary AWS Certified Machine Learning Engineer - 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Free Download Udemy - DP-600 Fabric Analytics Engineer Associate Published: 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 4.05 GB | Duration: 6h 54m Prepare yourself for the Microsoft Certified: Fabric Analytics Engineer Associate exam What you'll learn Students will learn how to build warehouse and lakehouses on Microsoft Fabric. Students will learn on how to build semantic models in Power BI Desktop. Students will learn SQL aspects and how to ingest data into Microsoft Fabric. Students will also learn about several security aspects around Microsoft Fabric. Requirements No prior knowledge on Microsoft Fabric is required, students will learn about Microsoft Fabric. No prior knowledge is required for Power BI Desktop, we will learn about Power BI Desktop in this course. Description "This course requires you to download Power BI Desktop on your local machine. If you are a Udemy Business user, please check with your employer before downloading software."This intensive, comprehensive course is designed to prepare data professionals for the Microsoft DP-600 certification exam, focusing on data warehouse implementation and optimization using Microsoft Fabric. Parti[beeep]nts will gain the knowledge and practical skills necessary to design, implement, and manage semantic models, data warehouses , lakehouses that leverage the full power of Microsoft's modern data analytics platform.What are we going to learnBasics around data and getting the required tools in place for the course.Getting and transforming data within Power BI Desktop.Building various aspects in Power BI Desktop such reports, visualizations, Measures etc.How to use Power Query in Power BI Desktop to transform data. We will see an example on how build a semantic model around Fact and Dimension tables.Getting started with Microsoft Fabric. How we get trial capacity to start working with the service.How we can build data warehouses in Microsoft Fabric. Using T-SQL, data pipelines and Data Flow Gen2 we can see how to ingest data into Microsoft Fabric.How to run basic T-SQL commands against our data warehouse.How to build Lakehouses on Microsoft Fabric.How we can ingest data into Lakehouses using data pipelines and Data Flow Gen2.How to use Apache Spark in Microsoft Fabric to work with data sets. Overview Section 1: Introduction Lecture 1 Data in today's world Lecture 2 Tools and services Lecture 3 Microsoft Power BI Lecture 4 Lab - Installing Power BI Desktop Lecture 5 Tour of Power BI Desktop Lecture 6 Our data sets Lecture 7 Setting up an Azure Free Tier Account Lecture 8 About the Azure SQL database service Lecture 9 Creating an Azure SQL database server Lecture 10 Setting up the Azure SQL database Section 2: Implement and manage semantic models - Power BI Desktop Lecture 11 Section Resources Lecture 12 Lab - Power BI Desktop - Get Data Lecture 13 Lab - Power BI Desktop - Removing columns Lecture 14 Lab - Power BI Desktop - Handing missing values Lecture 15 Lab - Power BI Desktop - Adding new columns Lecture 16 Online Analytical Processing Systems Lecture 17 What goes into building a data warehouse Lecture 18 Power BI Desktop - Merge Queries Lecture 19 Lab - Power BI Desktop - Merge Queries - DimProduct Lecture 20 Lab - Power BI Desktop - Merge Queries - DimCustomer Lecture 21 Lab - Power BI Desktop - Merge Queries - FactSales Lecture 22 Different views in Power BI Desktop Lecture 23 What are we going to do next Lecture 24 Lab - Power BI Desktop - Building simple visualizations Lecture 25 Lab - Power BI Desktop - Hierarchies Lecture 26 Power BI Desktop - Quick look at drill down Lecture 27 Overview on DAX Lecture 28 Lab - DAX Expressions - Creating a measure Lecture 29 Lab - DAX Expressions - Aggregation Functions Lecture 30 Lab - DAX Expressions - Filter Functions Lecture 31 Lab - DAX Expressions - Information Functions Lecture 32 Lab - DAX Expressions - Using Quick measures Lecture 33 Lab - Power BI Desktop - Building the Date Dimension table Lecture 34 Lab - Power BI Desktop - Using calculation groups Lecture 35 Lab - Power BI Desktop - Using Field parameters Lecture 36 Semantic Model - Storage Design Lecture 37 Lab - Using the Direct Query mode Lecture 38 Power BI Desktop - ColumnProfiling tools Lecture 39 Quick note on other performance considerations in Power BI Desktop Lecture 40 Lab - Power BI Desktop - Performance Analyzer Section 3: Prepare Data - Microsoft Fabric - Data Ingestion and Data warehouse Lecture 41 Section Code Lecture 42 What is Microsoft Fabric Lecture 43 Microsoft Fabric terms Lecture 44 Note on Microsoft Fabric Licensing Lecture 45 On-boarding ourselves onto Microsoft Fabric Lecture 46 Getting Microsoft Fabric Trial capacity Lecture 47 Lab - Publishing a report from Power BI Desktop to Fabric Lecture 48 Review of the data warehousing fundamentals Lecture 49 Lab - Microsoft Fabric - Creating a sample data warehouse Lecture 50 Microsoft Fabric - Ingesting data Lecture 51 Lab - Creating an Azure Storage Account Lecture 52 Lab - Microsoft Fabric data warehouse - Ingesting data - COPY command Lecture 53 Lab - Microsoft Fabric data warehouse - Ingesting data - COPY command - SAS Lecture 54 Lab - Microsoft Fabric data warehouse - Visual Query Lecture 55 Lab - Microsoft Fabric data warehouse - Cloning tables Lecture 56 Lab - Microsoft Fabric warehouse - CREATE TABLE AS SELECT Lecture 57 Lab - Microsoft Fabric - Ingesting data - Data Pipeline Lecture 58 Lab - Microsoft Fabric - Ingesting data - Data Flow Gen2 Lecture 59 Lab - Microsoft Fabric data warehouse - Building our Fact table Lecture 60 Lab - Microsoft Fabric data warehouse - Building our Dimension tables Lecture 61 Lab - Microsoft Fabric data warehouse - Building the Dimension Date table Lecture 62 Lab - Microsoft Fabric data warehouse - Default semantic model Lecture 63 Lab - Microsoft Fabric data warehouse - Column profiling Lecture 64 Data warehouse - Slowly Changing Dimensions Lecture 65 Microsoft Fabric - Power Query - Query folding Lecture 66 Lab - Microsoft Fabric data warehouse - SQL - Basics Lecture 67 Lab - Microsoft Fabric data warehouse - SQL - Group by Lecture 68 Lab - Microsoft Fabric data warehouse - SQL - Finding duplicate values Lecture 69 Lab - Microsoft Fabric data warehouse - SQL- JOIN Lecture 70 Lab - Microsoft Fabric data warehouse - SQL user-defined function Section 4: Prepare Data - Microsoft Fabric - Lakehouse Lecture 71 Section Code Lecture 72 What is a Lakehouse Lecture 73 Lab - Microsoft Fabric Lakehouse - Creating the Lakehouse Lecture 74 Lab - Microsoft Fabric Lakehouse - Ingesting data via files Lecture 75 Lab - Microsoft Fabric Lakehouse - Ingesting data via parquet files Lecture 76 Microsoft Fabric Lakehouse - Delta Lake Lecture 77 Lab - Microsoft Fabric Lakehouse - Ingesting data - Data pipeline Lecture 78 Lab - Microsoft Fabric Lakehouse - Ingesting data - Data Flow Gen2 Lecture 79 Lab - Microsoft Fabric Lakehouse - Shortcuts - Azure Data Lake Lecture 80 Lab - Microsoft Fabric Lakehouse - Shortcuts - AWS S3 Lecture 81 About using Apache Spark on Microsoft Fabric Lecture 82 Lab - Microsoft Fabric Apache Spark - Creating a notebook Lecture 83 Lab - Microsoft Fabric Apache Spark - Loading data into a Dataframe Lecture 84 Lab - Microsoft Fabric Apache Spark - Performing operations on the data frame Lecture 85 Lab - Microsoft Fabric Apache Spark - Saving the data frame Lecture 86 Lab - Microsoft Fabric Apache Spark - Further working with data Lecture 87 Microsoft Fabric Apache Spark - Running SQL commands in the notebook Section 5: Practice Tests This course is for students who want to prepare and take the DP-600 exam.,This course is for students who want to learn to use the Microsoft Fabric service.,This course will also help students learn to build semantic models in Power BI desktop. 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Free Download Udemy - Junior Robotics Engineer Published: 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1019.68 MB | Duration: 1h 3m Junior Robotics Engineer for Kids: Learn Fast, Build Smart, Code(c++) with Confidence just in few weeks What you'll learn Understand the basics of robotics - components, sensors, and c++ programing concepts Get hands-on experience with Arduino & basic coding for robotics. Develop problem-solving skills through fun, interactive projects. Explore real-world applications of robotics in STEM, automation Requirements No prior robotics experience needed! This course is designed for absolute beginners. Basic knowledge of computers (turning on, installing software) is helpful but not required. A curious and creative mindset - willingness to learn and experiment. Hardware (optional but recommended): Arduino board, sensors, motors, jumper wires, and a breadboard for hands-on projects. A computer with internet access to follow along with coding exercises. Description Junior Robotics Engineer is for Beginners ready Certification (Ages 6-16) - Learn, Build & Have Fun with THESTEMGUY! With this beginner-friendly course, kids as young as 6 years old can start learning how robots work, how to use sensors and microcontrollers, and how to build real projects step by step (online / offline under adults supervision ).This course is designed to provide the simplest and most engaging learning experience for young minds. Guided by THESTEMGUY, kids will start with the basics and gradually ramp up to hands-on robotics projects that bring learning to life. No prior experience is needed-just curiosity and excitement to explore!**Important notes for Parents/ Guardians : Read This**If the course is intended for children under the age of 18, it must be purchased and supervised by a parent, guardian, or responsible adult. By enrolling in this course, you confirm that you meet these Requirements.Parental supervision is recommended for all activities and projects involving electronics, programming, or hardware components(if used by kids) to ensure safety and proper guidance.Why This Course?Perfect for Beginners - Start as early as age 6 with easy-to-understand lessons.Step-by-Step Learning - Every concept is explained in a clear, simple way.Hands-on Projects - Kids will work on real robotics projects using sensors, Arduino, and coding.Self-Paced Learning - Kids can learn at their own speed with easy-to-follow instructions.Boost Creativity & Problem-Solving - Helps kids think logically, experiment, and build amazing tech projects.What Your Child Will LearnRobotics Basics - Understand how robots sense, process, and react.Sensors & Arduino - Learn how sensors collect data and pass it to an Arduino microcontroller to create outputs like lights, sounds, and movement.Early Coding Skills - A fun introduction to basic coding, helping kids develop problem-solving skills.Building Real Projects - Hands-on experience with real-world robotics applications.What's Inside the Course? Introduction to Robotics & Arduino - Learn how microcontrollers work.Understanding Sensors - Explore how input sensors detect the environment. Fun Hands-on Projects - Build interactive robotic models.Problem-Solving & Creativity - Experiment with coding and hardware to create solutions.Final Project Challenge - Apply all learned skills in a fun challenge.How This Course Helps KidsBuilds a strong foundation for robotics and IoT.Encourages logical thinking, creativity, and problem-solving.Helps kids become future-ready for STEM and coding careers.Provides real-world skills that can be used for advanced projects.By the end of this course, your child will not only understand how robots work but will also have the confidence to build their own robotics and IoT projects! No experience needed - Just an eagerness to learn and explore!Get started today and watch your child develop a love for robotics! Join the course now and start building amazing robots with THESTEMGUY!Please share your feedback and thoughts to support our course. Perfect for kids, students, and hobbyists starting their robotics journey! Homepage: https://www.udemy.com/course/junior-robotics-engineer-certification-for-kids/ [b]AusFile[/b] https://ausfile.com/tgkmhr59nyo6/fbgqc.Junior.Robotics.Engineer.part1.rar.html https://ausfile.com/q6nueubznhfx/fbgqc.Junior.Robotics.Engineer.part2.rar.html Rapidgator https://rg.to/file/cb55e449d92d93ecf8af8f213024d9a3/fbgqc.Junior.Robotics.Engineer.part1.rar.html https://rg.to/file/d34ebcb487a503dc3c3ca2c8fbbb0ab5/fbgqc.Junior.Robotics.Engineer.part2.rar.html Fikper Free Download https://fikper.com/eq3pD87esE/fbgqc.Junior.Robotics.Engineer.part1.rar.html https://fikper.com/kt8OhwnuYJ/fbgqc.Junior.Robotics.Engineer.part2.rar.html No Password - Links are Interchangeable

Free Download Udemy - Red Hat Certified Engineer RHCE Ex294 Exam Prep Published: 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 2.57 GB | Duration: 6h 31m Red Hat Certified Engineer RHCE hands-on exam EX294 preparation course based on RHEL 9. Real questions, valid answers! What you'll learn Hands-on Practice: Practical exercises and practice exams reinforce theoretical concepts of Ansible. Gain strategic insights into exam EX294 preparation. DevOps technicians approach the EX294 test with confidence and a clear plan. Equips IT specialists not only for exam success but also for applying their skills in real-world. Requirements Linux terminal experience. Description Red Hat Certified Engineer (RHCE) Hands-on exams based on RHEL 9. Red Hat Certified Engineers are in high demand within the IT industry. Achieving this certification opens doors to exciting career opportunities. This course serves as a foundation to success in RHCE exam EX294.If your goal is to become a Red Hat Enterprise Linux RHEL 9 administrator and engineer, you're in the perfect spot!This course is your definitive preparation for the Red Hat Certified Engineer (RHCE) EX294 exam. Whether you're an experienced Linux professional or just beginning your journey, this course is your key to mastering the Red Hat Enterprise Linux and Ansible. PrerequisiteRed Hat RHCSA EX200.Course OverviewThe course offers a thorough Overview of essential Linux Ansible administration skills, ensuring parti[beeep]nts gain the necessary knowledge to succeed in RHCE EX294.Practice QuestionsIncluded in the curriculum are comprehensive exam strategies and practice exams, alongside hands-on labs for practical experience, all aimed at preparing students for the RHCE EX294 exam. We have added quizzes and supporting documentation to complete the course. Career AdvancementCompleting this course not only boosts confidence but also positions you for career advancement in the field of Linux administration.Some of the images/content used in this course are licensed under: Creative Commons Attribution License (reuse permitted) from Red Hat. Overview Section 1: Introduction Lecture 1 Introduction Lecture 2 VM-based lab setup Lecture 3 Ansible setup Lecture 4 Ad-Hoc Commands Lecture 5 Core components of RHEL ansible Lecture 6 RHEL Install and Configure an Ansible Control Node Lecture 7 RHEL configure Ansible managed nodes Lecture 8 RHEL Ansible script-based administration tasks Lecture 9 RHEL create Ansible plays and playbooks Lecture 10 RHEL Ansible modules for system administration Lecture 11 RHEL Create and use Templates to create customized configuration Files Lecture 12 RHEL Ansible Roles Lecture 13 RHEL managing Ansible task parallelism Lecture 14 RHEL protect sensitive data in Anisble playbooks with Vault Lecture 15 RHEL Ansible documentation Section 2: Practice Exam (EX294) Lecture 16 Question 1: Install and configure Ansible Lecture 17 Question 2: Repository setup Lecture 18 Question 3: Install packages Lecture 19 Question 4: Create Role including template Lecture 20 Question 5: Install Role from ansible-galaxy repository Lecture 21 Question 6: Call Role from playbook Lecture 22 Question 7: Create secret file Lecture 23 Question 8: Read secret from vault Lecture 24 Question 9: Download and modify file Lecture 25 Question 10: Create file using jinja2 template Lecture 26 Question 11: Create LVM Lecture 27 Question 12: Read content from custom web directory Lecture 28 Question 13: Set up NTP using Red Hat system roles Lecture 29 Question 14: Write content filtered by host Lecture 30 Question 15: Schedule cron job Lecture 31 Question 16: Create and change password of vault file Lecture 32 Source code Section 3: Assignments Section 4: Conclusions Lecture 33 References Who wants to become Redhat Certified System Administrator.,System administrators.,DevOps technicians.,IT specialists.,Anyone who wants to enhance their career with RHEL 9 Linux skills eg students, researchers, IT professionals. Homepage: https://www.udemy.com/course/red-hat-certified-engineer-rhce-exam/ [b]AusFile[/b] https://ausfile.com/pp15ac1mxl7h/wgvyn.Red.Hat.Certified.Engineer.Rhce.Ex294.Exam.Prep.part1.rar.html https://ausfile.com/uemp0fkudfpy/wgvyn.Red.Hat.Certified.Engineer.Rhce.Ex294.Exam.Prep.part2.rar.html https://ausfile.com/8oqrk9mtfxku/wgvyn.Red.Hat.Certified.Engineer.Rhce.Ex294.Exam.Prep.part3.rar.html Rapidgator https://rg.to/file/91b3c82c040a32824bf4d22a50b15b49/wgvyn.Red.Hat.Certified.Engineer.Rhce.Ex294.Exam.Prep.part1.rar.html https://rg.to/file/70a6bd8a1fcf12956ff13613d40ec05b/wgvyn.Red.Hat.Certified.Engineer.Rhce.Ex294.Exam.Prep.part2.rar.html https://rg.to/file/aaf2c35699026fe860384de9538ff844/wgvyn.Red.Hat.Certified.Engineer.Rhce.Ex294.Exam.Prep.part3.rar.html No Password - Links are Interchangeable

Free Download Master ISTQB Test Automation Engineer (CTAL-TAE) Essentials Published: 3/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 3h 12m | Size: 2.65 GB ISTQB Advanced Level Test Automation Engineer: Design Scalable, Maintainable Automation Frameworks for Project Success. What you'll learn Learn the significance of test automation in modern software testing and the responsibilities of a test automation engineer. Identify key advantages, challenges, and potential pitfalls associated with implementing test automation. Explore different automation approaches (keyword-driven, data-driven, BDD) and learn how to select the right strategy for your projects. Learn best practices for building structured test automation architectures that ensure maintainability and scalability. Understand how to connect test automation with test management tools and continuous integration/continuous deployment (CI/CD) environments. Learn to define an automation strategy, identify test cases suitable for automation, and conduct cost-benefit analysis for automation initiatives. Discover key test automation metrics, KPIs, and best practices for improving test execution performance. Learn techniques for handling test data and configuring test environments for seamless automation execution. Gain expertise in identifying root causes of test failures and implementing debugging strategies. Understand how AI and machine learning can enhance test automation, automate security and performance testing, and handle complex test scenarios. Requirements Willingness or Interest to learn about ISTQB (CTAL-TAE) for Successful Implementation. Description IMPORTANT Before Enrolling:This course is not intended to replace studying any official vendor material for certification exams, is not endorsed by the certification vendor, and you will not be getting the official certification study material or a voucher as a part of this course.Unofficial ISTQB Advanced Level Test Automation Engineer (CTAL-TAE) CourseTest automation is a critical component of modern software testing, enabling faster, more efficient, and more reliable validation of applications. This course is designed to provide a deep understanding of test automation engineering, equipping professionals with the knowledge and skills needed to design, develop, and manage test automation solutions effectively.The course begins with an introduction to test automation engineering, covering its significance in software testing, the role of test automation engineers, and the benefits and challenges associated with automation. Parti[beeep]nts will gain insights into test automation architecture, understanding how well-structured frameworks contribute to maintainability and scalability.A strong emphasis is placed on designing effective test automation solutions. Learners will explore key design considerations, different automation approaches such as keyword-driven, data-driven, and behavior-driven development (BDD), and the selection of appropriate test automation tools. Integration with test management systems and CI/CD pipelines is also covered to ensure seamless automation workflows.The course delves into the principles of developing test automation architecture, discussing best practices for creating scalable and maintainable frameworks. Parti[beeep]nts will gain an understanding of essential framework components, including reusable libraries, utilities, and test data management strategies, enabling them to build robust automation solutions.Strategic planning for test automation is another critical area of focus. Learners will discover how to create a comprehensive test automation strategy, identify test cases suitable for automation, and perform cost-benefit analyses to determine the return on investment (ROI). Risk-based prioritization techniques are also introduced to help testers allocate automation efforts effectively.Managing test automation projects is essential for ensuring the success of automation initiatives. This course covers techniques for planning and estimating automation projects, defining and tracking key performance indicators (KPIs), and managing test data and environments. Parti[beeep]nts will learn how to measure the effectiveness of their automation efforts and make data-driven improvements.The course also explores test automation reporting and monitoring, highlighting the importance of detailed test reports, continuous monitoring, and feedback loops in maintaining automation health. Debugging techniques and root cause analysis methods are covered to help engineers quickly identify and resolve test failures.To enhance test automation effectiveness, parti[beeep]nts will learn strategies to improve test coverage, optimize test execution performance, and maintain automated test scripts over time. Best practices for script updates and maintenance will be discussed to ensure long-term sustainability.Finally, the course addresses advanced test automation concepts, including handling complex test scenarios, integrating AI and machine learning into automation frameworks, and automating security and performance testing. These advanced topics prepare learners for the evolving landscape of software testing and enable them to implement cutting-edge automation techniques.By the end of this course, parti[beeep]nts will have a comprehensive understanding of test automation engineering, from foundational concepts to advanced strategies. They will be equipped with the skills needed to design scalable automation frameworks, optimize test execution, and contribute to high-quality software delivery through effective test automation practices.Thank you Who this course is for Software Testers and QA Engineers - Professionals looking to expand their knowledge of test automation and move beyond manual testing. Test Automation Engineers - Those who want to enhance their skills in designing scalable, maintainable, and efficient automation frameworks. Software Developers in Test (SDETs) - Developers who work on test automation and want to strengthen their understanding of automation frameworks and CI/CD integration. QA Leads and Managers - Professionals responsible for planning, implementing, and managing test automation strategies in their teams. DevOps and CI/CD Engineers - Those involved in integrating automated testing into CI/CD pipelines to improve software delivery efficiency. Software Architects - Engineers who design test automation architectures and frameworks for scalable and robust testing solutions. Anyone Preparing for the ISTQB Advanced Test Automation Engineer Certification - Testers aiming to achieve the ISTQB Advanced Level certification and validate their expertise in test automation. 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Free Download Linkedin - Databricks Certified Data Engineer Associate Cert Prep Released 03/2025 With Noah Gift MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 2h 18m 36s | Size: 288 MB Use this course to prepare for the Databricks Certified Data Engineer Associate exam. Course details In this course, prepare for the Databricks Certified Data Engineer Associate exam. Instructor Noah Gift takes you through the topics you need to know, starting with an introduction to the Databricks Lakehouse platform. He then goes into data transformation with Apache Spark, data management with Delta Lake, data pipelines with Delta Live Tables, workloads with jobs, and wraps up the course with a look at data access with Unity Catalog. Homepage: https://www.linkedin.com/learning/databricks-certified-data-engineer-associate-cert-prep [b]AusFile[/b] https://ausfile.com/masnltnywb6o/nbvhk.Databricks.Certified.Data.Engineer.Associate.Cert.Prep.rar.html TakeFile https://takefile.link/y6ze0mz73ax4/nbvhk.Databricks.Certified.Data.Engineer.Associate.Cert.Prep.rar.html Rapidgator https://rg.to/file/b96da893432fda416c09b04500b5893b/nbvhk.Databricks.Certified.Data.Engineer.Associate.Cert.Prep.rar.html Fikper Free Download https://fikper.com/tpR3W3BKb2/nbvhk.Databricks.Certified.Data.Engineer.Associate.Cert.Prep.rar.html No Password - Links are Interchangeable

Free Download AWS Certified Data Engineer Associate DEA-C01 Course 2025 Published: 3/2025 Created by: Cloud Guru Amit MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 21 Lectures ( 5h 29m ) | Size: 2.7 GB AWS Certified Data Engineer with 6+ REAL Hands-on IT Projects with 140+ Practice Test Exam Question Video Explanation What you'll learn Master AWS Glue ETL for data quality, filtering, SQL expressions, joins, file format conversion, and schema inference with Glue Crawler. Learn Amazon S3 lifecycle policies with hands-on: file transition to S3 IA, Glacier, and deletion based on rules. Explore S3 versioning: enabling, disabling, and preserving deleted objects through practical demonstrations. Perform S3 Select queries: CSV/JSON parsing, using delimiters, compression, and running selective SQL queries efficiently. Implement Athena SQL queries on S3 data using Glue Data Catalog for schema and database creation. Gain skills for real-world IT projects with architecture diagrams and practical guidance for AWS solutions. Prepare for AWS DEA-C01 exam with 140+ practice questions explained via elimination techniques. Requirements Basic understanding of AWS services such as S3, Glue, and Athena is recommended. Familiarity with SQL and database concepts will be helpful. Description This course is your ultimate guide to mastering AWS Data Engineering and acing the AWS Certified Data Engineer Associate DEA-C01 exam. With real-world scenarios and architecture diagrams, this hands-on course provides in-depth learning on AWS Glue ETL, Amazon S3, Athena, and Glue Data Catalog.Hands-On Projects Covered in This Course:AWS Glue Quick Overview Project: Learn the basics of AWS Glue to get started with.AWS Glue ETL Project: Learn data quality checks, filtering, custom SQL expressions, inner joins, file format conversions, and schema inference using AWS Glue Crawler.Amazon S3 Lifecycle Policies: Create S3 buckets, upload files, and configure lifecycle rules to transition files to S3 Standard-IA after 35 days, S3 Glacier after 90 days, and delete objects after 120 days.Amazon S3 Object Versioning: Enable and disable versioning, understand version IDs, and demonstrate how deleted objects are preserved in versioning-enabled buckets.S3 Query Select: Configure S3 Select for querying CSV/JSON files, execute SQL queries like COUNT(*) and TOP rows, and export query results efficiently.Query S3 Data Using Athena: Create an S3 bucket, set up Amazon Athena, define database and schema with Glue Data Catalog, and execute SQL queries on uploaded data.Additional Highlights:Real-world architecture diagrams for IT projects.140+ practice exam questions with video explanations to prepare for the AWS DEA-C01 exam.Whether you're a beginner or a professional, this course equips you with practical skills to advance your career in cloud data engineering. Who this course is for Aspiring data engineers seeking to build hands-on expertise in AWS data engineering tools and techniques. Cloud professionals aiming to earn the AWS Certified Data Engineer Associate DEA-C01 certification. IT specialists looking to enhance their skills in data handling, ETL workflows, and cloud storage. Professionals transitioning into cloud-based data engineering roles with real-world project experience. Students and beginners with basic AWS knowledge, eager to kickstart their careers in cloud computing. Developers seeking to deepen their understanding of AWS Glue, S3, Athena, and Glue Data Catalog. Certification candidates who value exam preparation with in-depth practice tests and explanations. 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Free Download Microsoft AZ-500 - Azure Security Engineer Associate Published: 3/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 19h 47m | Size: 6.38 GB Pass AZ-500 | Elevate your Career What you'll learn Manage Microsoft Entra identities Manage Microsoft Entra authentication Manage Microsoft Entra authorization Manage Microsoft Entra application access Plan and implement security for virtual networks Plan and implement security for private access to Azure resources Plan and implement security for public access to Azure resources Plan and implement advanced security for compute Plan and implement security for storage Plan and implement security for Azure SQL Database and Azure SQL Managed Instance Plan, implement, and manage governance for security Manage security posture by using Microsoft Defender for Cloud Configure and manage threat protection by using Microsoft Defender for Cloud Configure and manage security monitoring and automation solutions Requirements Basic IT Knowledge Willingness to learn cool stuff! Description This AZ-500 course by Christopher Nett is a meticulously organized Udemy course designed for IT professionals aiming to pass the Microsoft AZ-500: Microsoft Azure Security Engineer Associate exam. This course systematically guides you from the basics to advanced concepts of Azure Security.By mastering Azure Security, you're developing expertise in essential topics in today's cybersecurity landscape.The course is always aligned with Microsoft's latest study guide and exam objectives:Manage identity and access (25-30%)Manage Microsoft Entra identitiesSecure Microsoft Entra usersSecure Microsoft Entra groupsRecommend when to use external identitiesSecure external identitiesImplement Microsoft Entra ID ProtectionManage Microsoft Entra authenticationImplement multi-factor authentication (MFA)Configure Microsoft Entra Verified IDImplement passwordless authenticationImplement password protectionImplement single sign-on (SSO)Integrate single sign on (SSO) and identity providersRecommend and enforce modern authentication methodsManage Microsoft Entra authorizationConfigure Azure role permissions for management groups, subscriptions, resource groups, and resourcesAssign Microsoft Entra built-in rolesAssign Azure built-in rolesCreate and assign custom roles, including Azure roles and Microsoft Entra rolesImplement and manage Microsoft Entra Permissions ManagementConfigure Microsoft Entra Privileged Identity ManagementConfigure role management and access reviews in Microsoft EntraImplement Conditional Access policiesManage Microsoft Entra application accessManage access to enterprise applications in Microsoft Entra ID, including OAuth permission grantsManage Microsoft Entra app registrationsConfigure app registration permission scopesManage app registration permission consentManage and use service prin[beeep]lsManage managed identities for Azure resourcesRecommend when to use and configure an Microsoft Entra Application Proxy, including authenticationSecure networking (20-25%)Plan and implement security for virtual networksPlan and implement Network Security Groups (NSGs) and Application Security Groups (ASGs)Plan and implement user-defined routes (UDRs)Plan and implement Virtual Network peering or VPN gatewayPlan and implement Virtual WAN, including secured virtual hubSecure VPN connectivity, including point-to-site and site-to-siteImplement encryption over ExpressRouteConfigure firewall settings on PaaS resourcesMonitor network security by using Network Watcher, including NSG flow loggingPlan and implement security for private access to Azure resourcesPlan and implement virtual network Service EndpointsPlan and implement Private EndpointsPlan and implement Private Link servicesPlan and implement network integration for Azure App Service and Azure FunctionsPlan and implement network security configurations for an App Service Environment (ASE)Plan and implement network security configurations for an Azure SQL Managed InstancePlan and implement security for public access to Azure resourcesPlan and implement Transport Layer Security (TLS) to applications, including Azure App Service and API ManagementPlan, implement, and manage an Azure Firewall, including Azure Firewall Manager and firewall policiesPlan and implement an Azure Application GatewayPlan and implement an Azure Front Door, including Content Delivery Network (CDN)Plan and implement a Web Application Firewall (WAF)Recommend when to use Azure DDoS Protection StandardSecure compute, storage, and databases (20-25%)Plan and implement advanced security for computePlan and implement remote access to public endpoints, including Azure Bastion and just-in-time (JIT) virtual machine Configure disk encryption, including Azure Disk Encryption (ADE), encryption at host, and confidential disk encryptionRecommend security configurations for Azure API ManagementPlan and implement security for storageConfigure access control for storage accountsManage life cycle for storage account access keysSelect and configure an appropriate method for access to Azure FilesSelect and configure an appropriate method for access to Azure Blob StorageSelect and configure an appropriate method for access to Azure TablesSelect and configure an appropriate method for access to Azure QueuesSelect and configure appropriate methods for protecting against data security threats, including soft delete, backups, versioning, and immutable storageConfigure Bring your own key (BYOK)Enable double encryption at the Azure Storage infrastructure levelPlan and implement security for Azure SQL Database and Azure SQL Managed InstanceEnable Microsoft Entra database authenticationEnable database auditingIdentify use cases for the Microsoft Purview governance portalImplement data classification of sensitive information by using the Microsoft Purview governance portalPlan and implement dynamic maskingImplement Transparent Data Encryption (TDE)Recommend when to use Azure SQL Database Always EncryptedManage security operations (25-30%)Plan, implement, and manage governance for securityCreate, assign, and interpret security policies and initiatives in Azure PolicyConfigure security settings by using Azure BlueprintsDeploy secure infrastructures by using a landing zoneCreate and configure an Azure Key VaultRecommend when to use a dedicated Hardware Security Module (HSM)Configure access to Key Vault, including vault access policies and Azure Role Based Access ControlManage certificates, secrets, and keysConfigure key rotationConfigure backup and recovery of certificates, secrets, and keysManage security posture by using Microsoft Defender for CloudIdentify and remediate security risks by using the Microsoft Defender for Cloud Secure Score and InventoryAssess compliance against security frameworks by using Microsoft Defender for CloudAdd industry and regulatory standards to Microsoft Defender for CloudAdd custom initiatives to Microsoft Defender for CloudConnect hybrid cloud and multi-cloud environments to Microsoft Defender for CloudIdentify and monitor external assets by using Microsoft Defender External Attack Surface ManagementConfigure and manage threat protection by using Microsoft Defender for CloudEnable workload protection services in Microsoft Defender for Cloud, including Microsoft Defender for Storage, Databases, Containers, App Service, Key Vault, and Resource ManagerConfigure Microsoft Defender for ServersConfigure Microsoft Defender for Azure SQL DatabaseManage and respond to security alerts in Microsoft Defender for CloudConfigure workflow automation by using Microsoft Defender for CloudEvaluate vulnerability scans from Microsoft Defender for ServerConfigure and manage security monitoring and automation solutionsMonitor security events by using Azure MonitorConfigure data connectors in Microsoft SentinelCreate and customize analytics rules in Microsoft SentinelEvaluate alerts and incidents in Microsoft SentinelConfigure automation in Microsoft Sentinel Who this course is for SOC Analyst Security Engineer Security Consultant Security Architect Security Manager Cloud Engineer Cloud Architect IT Manager CISO Homepage: 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Free Download Databricks Certified Data Engineer Associate - Ultimate Prep Published: 3/2025 Created by: Ramesh Retnasamy MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 98 Lectures ( 14h 49m ) | Size: 5.15 GB Complete Coverage of the Exam Syllabus | Full Practice Exam included with Explanations | Hands-on Training | NEW[2025] What you'll learn All the topics required to PASS the Databricks Certified Data Engineer Associate Exam Full Length Practice Exam with Detailed Explanations Included All 320+ Slides are included as a downloadable PDF Databricks Lakehouse Platform Architecture & Databricks Workspace Components Medallion Architecture & Implementing a Solution using Medallion Architecture Git Integration with Databricks Workspace and Collaboration with Source Control Extract Transform and Load (ETL) using Apache Spark Spark User Defined Functions (UDF) Incremental Load Processing using Spark Structured Streaming Incremental Data Ingestion via Auto Loader Delta Lake Architecture, Benefits, Implementation & Performance Tuning Implementing Streaming and Batch Workloads using Delta Live Tables Data Quality & Exception Handling using Delta Live Tables Implementing Production Pipelines using Databricks Jobs Configuring & Deploying SQL Warehouse Creating Alerts & Dashboards using Databricks SQL Configuring & Working with Databricks Unity Catalog Data Governance & Access Control via Unity Catalog Requirements You do not need any experience with Databricks. All the code and step-by-step instructions are provided, but the skills below will greatly benefit your journey Basic SQL knowledge will be required Basic Python programming experience will be required Azure subscription will be required, If you don't have one we will create a free account in the course Description Databricks Data Engineer Associate Certification is a gateway to gain recognition in the industry and open doors to better job opportunities and higher salaries. And it showcases your ability to handle real-world data engineering projects, as well as a way to future-proof your career, and a chance to achieve your professional goals!I want to help you pass the Databricks Data Engineer Associate Certification with ease! I have designed the course to give you the right level of theory and hands-on practice so that you can not only pass the certification exam, but also develop yourself with the right skills required to work in the industry using Databricks. So, I have designed the course with the following in mindIt covers all the topics required to pass the certificationIt includes a Full Length Practice Exam with detailed explanationsIt provides detailed explanations of each of topicsIt takes a hands-on approach to learning. 80% course requires you to be working with databricksIt has 2 small projects to give you the practical knowledge required to work in the industryIt's fast paced and to the point. I genuinely value your time. All the 300+ slides are available to download as PDFAll the databricks notebooks created during the course are available to downloadI provide guidance on how to approach the Databricks Exam and pass with easeBeginners are welcome! I teach everything about Databricks from Scratch and provide step-by-step instructions.About the InstructorMy name is Ramesh and I am going to be your instructor for this course. I am a data engineer with over 25 years of experience working on some of the large data projects, including most recently working for Microsoft UK and some of the top consulting firms.I hold a number of certifications including the Databricks Certified Data Engineer Associate Certification that I am teaching in this course.Over the last 4 years, I've taught over 180,000 students on Udemy, and my courses are highly rated and best sellers. I'm extremely passionate about teaching and committed to making your learning journey enjoyable and worthwhile.I am active in the Q&A section of the course. So, you will be able to ask questions and I will be there to answer your questions! So, if you're ready to take the next step in your data engineering career and become a Databricks Certified Data Engineer Associate, enroll now, and let's get started! I look forward to seeing you inside the course! 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We will Also cover PEB Structure Execution From Start to finish Understanding the Structural Drawings .Topics Covered eel framed structure construction begins with the construction of its foundation. Generally, the types of foundation required for the given structure is based on the soil bearing capacity. Soil investigation including surface and subsurface exploration is used to assess the condition of soil on which steel frame structure rests. For example, when moderate or low loads are imposed, then it is advised to use reinforced concrete bearing pads or strip foundation. These foundation types transfer loads to soil capable of supporting transferred loads.Structural steel is a category of steel used for making construction materials in a variety of shapes. Many structural steel shapes take the form of an elongated beam having a profile of a specific cross section. 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Description Welcome to "Complete Roadmap to Becoming an MLOps Engineer" - your ultimate guide to navigating the ever-evolving world of MLOps!In this course, we break down the complex roadmap of MLOps into simple, digestible steps, ensuring that you're equipped with the right tools to streamline your machine learning workflows and thrive in the industry. Whether you're just starting out or have some experience, this course is designed to empower you with the skills to implement scalable machine learning models in production.Why MLOps?As AI and ML are increasingly becoming integral to business operations, managing and deploying models at scale can be challenging. This is where MLOps comes in-helping bridge the gap between data science and operations. 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Overview Section 1: Introduction to MLOps Lecture 1 Introduction Lecture 2 What is MLOps ? Lecture 3 Why is MLOps required ? Lecture 4 Resources Section 2: Understanding Stages of MLOps Lecture 5 Problem Definition, Data Collection and Processing Lecture 6 Metrics Definition, Data Analysis and Feature Engineering Lecture 7 Model Training, Deployment and Monitoring Section 3: Building base for MLOps Lecture 8 Basics Tools and Skillset for MLOps- Part 1 Lecture 9 Basics Tools and Skillset for MLOps- Part2 Section 4: Tools and skills for Problem Definition Lecture 10 Stage 1: Problem Definition Section 5: Tools and skills for Data Collection Lecture 11 Stage 2: Data Collection Lecture 12 Data Collection Part 2 Section 6: Tools and Skills for Data pre-processing and Storage Lecture 13 Stage 3: Data Pre-processing Section 7: Tools and Skills for Metrics Definition Lecture 14 Stage 4: Metrics Definition Section 8: Tools and Skills for Data Exploration and Analysis Lecture 15 Stage 5: Data Exploration and Analysis Section 9: Tools and Skills for Feature Extraction and Engineering Lecture 16 Stage 6: Feature Extraction and Engineering Section 10: Tools and Skills for Model Training Lecture 17 Stage 7: Model Training Section 11: Tools and Skills for Model Deployment and Integration Lecture 18 Stage 8: Model Deployment Section 12: Tools and Skills for Model Monitoring Lecture 19 Stage 9: Model Monitoring Lecture 20 Congratulation! 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If you diligently work through these tests and stay dedicated to learning the Microsoft Fabric concepts, I guarantee you'll be prepared to pass the exam with confidence.Below are the skills that will be tested by Practice Tests.Skills at a glancePlan, implement, and manage a solution for data analytics (10-15%)Prepare and serve data (40-45%)Implement and manage semantic models (20-25%)Explore and analyze data (20-25%)Plan, implement, and manage a solution for data analytics (10-15%)Plan a data analytics environmentIdentify requirements for a solution, including components, features, performance, and capacity stock-keeping units (SKUs)Recommend settings in the Fabric admin portalChoose a data gateway typeCreate a custom Power BI report themeImplement and manage a data analytics environmentImplement workspace and item-level access controls for Fabric itemsImplement data sharing for workspaces, warehouses, and lakehousesManage sensitivity labels in semantic models and lakehousesConfigure Fabric-enabled workspace settingsManage Fabric capacityManage the analytics development lifecycleImplement version control for a workspaceCreate and manage a Power BI Desktop project (.pbip)Plan and implement deployment solutionsPerform impact analysis of downstream dependencies from lakehouses, data warehouses, dataflows, and semantic modelsDeploy and manage semantic models by using the XMLA endpointCreate and update reusable assets, including Power BI template (.pbit) files, Power BI data source (.pbids) files, and shared semantic modelsPrepare and serve data (40-45%)Create objects in a lakehouse or warehouseIngest data by using a data pipeline, dataflow, or notebookCreate and manage shortcutsImplement file partitioning for analytics workloads in a lakehouseCreate views, functions, and stored proceduresEnrich data by adding new columns or tablesCopy dataChoose an appropriate method for copying data from a Fabric data source to a lakehouse or warehouseCopy data by using a data pipeline, dataflow, or notebookAdd stored procedures, notebooks, and dataflows to a data pipelineSchedule data pipelinesSchedule dataflows and notebooksTransform dataImplement a data cleansing processImplement a star schema for a lakehouse or warehouse, including Type 1 and Type 2 slowly changing dimensionsImplement bridge tables for a lakehouse or a warehouseDenormalize dataAggregate or de-aggregate dataMerge or join dataIdentify and resolve duplicate data, missing data, or null valuesConvert data types by using SQL or PySparkFilter dataOptimize performanceIdentify and resolve data loading performance bottlenecks in dataflows, notebooks, and SQL queriesImplement performance improvements in dataflows, notebooks, and SQL queriesIdentify and resolve issues with Delta table ✅File SizesImplement and manage semantic models (20-25%)Design and build semantic modelsChoose a storage mode, including Direct LakeIdentify use cases for DAX Studio and Tabular Editor 2Implement a star schema for a semantic modelImplement relationships, such as bridge tables and many-to-many relationshipsWrite calculations that use DAX variables and functions, such as iterators, table filtering, windowing, and information functionsImplement calculation groups, dynamic strings, and field parametersDesign and build a large format datasetDesign and build composite models that include aggregationsImplement dynamic row-level security and object-level securityValidate row-level security and object-level securityOptimize enterprise-scale semantic modelsImplement performance improvements in queries and report visualsImprove DAX performance by using DAX StudioOptimize a semantic model by using Tabular Editor 2Implement incremental refreshExplore and analyze data (20-25%)Perform exploratory analyticsImplement descriptive and diagnostic analyticsIntegrate prescriptive and predictive analytics into a visual or reportProfile dataQuery data by using SQLQuery a lakehouse in Fabric by using SQL queries or the visual query editorQuery a warehouse in Fabric by using SQL queries or the visual query editorConnect to and query datasets by using the XMLA endpointAdditional resourcesTrainingModuleExplore fundamentals of large-scale data analytics - TrainingOrganizations use analytics platforms to build large scale data analytics solutions that generate insights and drive success. 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