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via Udemy |
Go to Course: https://www.udemy.com/course/aws-glue-mastery-6-interview-practice-tests/
Master AWS Glue with confidence through this comprehensive practice-based course designed to prepare you for real-world interviews and job roles in data engineering and cloud-based ETL. AWS Glue Mastery: 6 Interview Practice Tests offers in-depth coverage of AWS Glue concepts through scenario-based and conceptual questions aligned with industry expectations.This course is structured around six extensive practice tests, each crafted to solidify your understanding of AWS Glue's architecture, capabilities, and integrations. You will explore everything from Glue's serverless ETL framework and Data Catalog management to building complex workflows and securing your data lakes. The tests are tailored to assess your knowledge of Glue jobs, triggers, data transformations, and performance optimization strategies, ensuring you're job-ready.Whether you're preparing for an interview or looking to refine your hands-on skills, this course will help you evaluate and enhance your AWS Glue expertise with clarity and confidence.What You Will Cover:Core features and benefits of AWS Glue's serverless data integration serviceComponents like Data Catalog, Crawlers, Jobs, and TriggersSetting up Glue resources, IAM permissions, and S3 configurationsCreating and managing metadata with the Glue Data CatalogData integration with services like S3, Redshift, Athena, and DynamoDBWriting and managing Python/Scala-based ETL jobsTransforming data with DynamicFrames and custom functionsWorkflow orchestration using triggers and conditional branchingSecurity, encryption, and access control with IAM and Lake FormationBuilding and querying scalable data lakesPerformance tuning for Glue jobs and crawlersReal-world use cases: machine learning prep, data warehousing, and streaming ETLThis course is ideal for data engineers, cloud developers, and analytics professionals aiming to strengthen their knowledge and interview readiness for AWS Glue-related roles.