AWS Glue Expert Interview Preparation: Top 10 Questions and Answers
Are you preparing for an interview on AWS Glue? Check out this comprehensive list of common AWS Glue interview questions and answers. Covering topics such as ETL jobs, data pipelines, data lakes, real-time data processing, and more, this guide will help you demonstrate your knowledge and understanding of this fully-managed ETL service. Whether you’re a beginner or an experienced user, these questions and answers will help you confidently navigate any AWS Glue interview.
I have prepared a list of top 10 AWS Glue interview questions and answers to help you prepare for your next job interview.
- What is AWS Glue?
Answer: AWS Glue is a fully managed extract, transform, and load (ETL) service that automates the process of discovering, preparing, and combining data for analytics, machine learning, and application development. It simplifies and accelerates the process of moving and transforming data between various data stores.
- What are the main components of AWS Glue?
Answer: AWS Glue consists of three main components: a. Data Catalog: A central metadata repository that stores information about data sources and transformations. b. ETL Engine: A serverless and scalable ETL processing engine that runs Glue jobs. c. Development Endpoint: An interactive environment for developing and testing ETL scripts.
- How does AWS Glue discover and catalog data?
Answer: AWS Glue uses crawlers to automatically discover and catalog data from various sources like Amazon S3, Amazon RDS, and Amazon Redshift. Crawlers connect to the data source, identify the schema, and store the metadata in the AWS Glue Data Catalog.
- What is the role of AWS Glue Jobs?
Answer: AWS Glue jobs are the core ETL operations that perform data transformations and move data between different data stores. You can create, schedule, and manage Glue jobs using the AWS Management Console, AWS SDKs, or AWS CLI.
- What are some advantages of using AWS Glue over traditional ETL solutions?
Answer: a. Fully managed service with no infrastructure to manage. b. Automatic scaling to handle varying workloads. c. Pay-as-you-go pricing model. d. Integration with other AWS services. e. Support for various data formats and sources.
- What languages are supported by AWS Glue for ETL scripts?
Answer: AWS Glue supports both Python and Scala for writing ETL scripts.
- What are the different types of Glue triggers?
Answer: There are three types of Glue triggers: a. On-demand triggers: Manually triggered by users or APIs. b. Schedule-based triggers: Triggered based on a specified schedule. c. Event-based triggers: Triggered when a specified event occurs, such as the completion of another Glue job.
- Can AWS Glue be used with streaming data?
Answer: Yes, AWS Glue can be used with streaming data by utilizing AWS Glue Streaming ETL. This enables real-time processing and analytics of streaming data by continuously reading, processing, and loading the data into a target data store.
- How does AWS Glue handle schema changes in the source data?
Answer: AWS Glue crawlers can automatically detect schema changes in the source data and update the metadata in the Data Catalog. You can also configure the crawler to update the schema in the Data Catalog with new columns or changes to the data type of existing columns.
- What is AWS Glue Studio?
Answer: AWS Glue Studio is a visual interface for creating, managing, and monitoring AWS Glue ETL jobs. It simplifies the ETL job creation process by providing a drag-and-drop interface for defining sources, transformations, and targets, and generating the ETL code automatically.