AWS Glue Courses & Q&A | Free courses

AWS Glue is a fully managed extract, transform, and load (ETL) service provided by Amazon Web Services. It simplifies and automates the process of preparing and loading data for analytics.

One of its key advantages lies in its ability to handle diverse data sources seamlessly, whether they’re in databases, data lakes, or flat files. With AWS Glue, users can create and manage ETL workflows using a serverless approach, eliminating the need for infrastructure management.

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Its compatibility with various AWS services and its integration with popular data storage solutions make it a powerful tool for data engineers and analysts.

Learning AWS Glue equips individuals with skills to efficiently manage and manipulate data at scale, enabling them to build robust data pipelines, improve data quality, and accelerate the process of deriving valuable insights from large and complex datasets.

This knowledge is highly advantageous in the data-driven landscape of today’s businesses, fostering better decision-making and innovation.

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here are 20 multiple-choice questions for aws glue (MCQs) along with their answers about AWS Glue:

Question: Which type of service is AWS Glue?

A) Platform as a Service (PaaS)
B) Infrastructure as a Service (IaaS)
C) Software as a Service (SaaS)
D) Function as a Service (FaaS)
Answer: A) Platform as a Service (PaaS)
Question: What is the primary function of AWS Glue?

A) Real-time data analysis
B) Data visualization
C) Extract, Transform, Load (ETL)
D) Cloud storage management
Answer: C) Extract, Transform, Load (ETL)
Question: Which programming language can be used for coding AWS Glue ETL jobs?

A) Python
B) JavaScript
C) Java
D) All of the above
Answer: A) Python
Question: What does the AWS Glue Data Catalog do?

A) Stores metadata for tables and connections
B) Executes ETL jobs
C) Provides real-time data analysis
D) Manages cloud storage
Answer: A) Stores metadata for tables and connections

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Question: Which AWS Glue component is responsible for discovering data and its schema from various sources?

A) AWS Glue Crawler
B) AWS Glue ETL Engine
C) AWS Glue DataBrew
D) AWS Glue Studio
Answer: A) AWS Glue Crawler
Question: How does AWS Glue help in managing infrastructure?

A) Requires manual scaling of resources
B) It’s serverless, hence no infrastructure management
C) Users have to manage the underlying servers
D) It operates on a peer-to-peer network
Answer: B) It’s serverless, hence no infrastructure management
Question: What role does AWS Glue DataBrew play in the ETL process?

A) Data cleaning and preparation
B) Data encryption
C) Data visualization
D) Data migration
Answer: A) Data cleaning and preparation
Question: Which AWS service can be integrated with AWS Glue for serverless data warehousing?

A) Amazon S3
B) Amazon Redshift
C) Amazon DynamoDB
D) Amazon RDS
Answer: B) Amazon Redshift
Question: What is the purpose of AWS Glue Triggers?

A) To schedule job runs
B) To track data lineage
C) To capture the state of processed data
D) To execute ETL jobs
Answer: A) To schedule job runs
Question: Which AWS Glue feature enables users to visually create and manage ETL workflows?

A) AWS Glue Console
B) AWS Glue ETL Script Editor
C) AWS Glue Studio
D) AWS Glue Data Catalog
Answer: C) AWS Glue Studio

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Question: In AWS Glue, what does a job bookmark do?

A) Tracks job execution history
B) Pauses and resumes ETL jobs
C) Captures the state of processed data
D) Schedules job runs
Answer: C) Captures the state of processed data
Question: Which language is primarily used for coding AWS Glue ETL jobs?

A) Python
B) JavaScript
C) Java
D) Scala
Answer: A) Python
Question: What does AWS Glue DataBrew primarily assist with?

A) Data visualization
B) Data security
C) Data cleaning and preparation
D) Database migration
Answer: C) Data cleaning and preparation
Question: Which AWS service can be combined with AWS Glue for big data processing and analytics?

A) Amazon DynamoDB
B) Amazon EC2
C) Amazon EMR
D) Amazon CloudFront
Answer: C) Amazon EMR
Question: What role does AWS Glue ETL Script Editor play in data transformations?

A) Defines and manages data transformations
B) Executes ETL jobs
C) Provides a visual interface for data analysis
D) Manages data encryption
Answer: A) Defines and manages data transformations
Question: Which component of AWS Glue allows users to define, configure, and manage data transformations?

A) AWS Glue Console
B) AWS Glue ETL Script Editor
C) AWS Glue DataBrew
D) AWS Glue Data Catalog
Answer: B) AWS Glue ETL Script Editor
Question: What is the primary purpose of AWS Glue Crawler?

A) Data encryption
B) Data discovery and cataloging
C) Data visualization
D) Real-time data analysis
Answer: B) Data discovery and cataloging
Question: Which AWS Glue feature helps in discovering and classifying data?

A) AWS Glue Data Catalog
B) AWS Glue Crawler
C) AWS Glue ETL Jobs
D) AWS Glue Console
Answer: B) AWS Glue Crawler
Question: Which AWS Glue feature allows the triggering of ETL workflows based on specific events or schedules?

A) AWS Glue Scheduler
B) AWS Glue Triggers
C) AWS Glue Events
D) AWS Glue Automation
Answer: B) AWS Glue Triggers

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Question: How does AWS Glue facilitate schema evolution in data transformations?

A) Automatically updates all existing data
B) Requires manual schema modifications
C) Provides schema inference and mapping capabilities
D) Prevents schema changes after initial setup
Answer: C) Provides schema inference and mapping capabilities