It is a famous quote that the future belongs to those who prepare for it. Now you are here to prepare for your interview, and this shows your seriousness for the future. Below are some frequently asked AWS Glue interview questions that will definitely help you in enhancing your knowledge of amazon aws and related technologies. Here we divide these questions into two categories: first is AWS Glue Interview Questions for freshers, and second is for experienced professionals. So let’s come to the question.

AWS Glue Interview Questions For Freshers

Here We learn the First Category of AWS Glue Interview Questions for Freshers, and then we will move to our Second Category which is, AWS Glue interview Questions for Experienced Professionals in the amazon cloud ecosystem.

1) What is AWS Glue? (Read carefully – Mostly this is the first question asked in AWS Glue Interview Questions)

AWS Glue is simply an event-driven, serverless ETL tool provided by Amazon. It is a part of Amazon Web Services and a powerful aws service for data integration. With AWS Glue we don’t need any additional coding scripts because first it runs code in response to events and then automatically manages the computing resources needed for that code. It helps you extract data from multiple sources, such as aws s3, transform it to meet the needs of your project, and load it to the destination of your choice within the amazon cloud.

AWS Glue Interview Questions

2) What are the key features of AWS Glue?

  • AWS Glue Data Catalogue is a technical metadata repository in the AWS cloud. It is used to keep references to data that is used as sources and targets across amazon aws environments.
  • Automatic schema discovery Glue is used to automate crawlers that collect, store, and classify schema-related data into data catalogues that can be used later within amazon web services.
  • Automatic code generation and customization of the ETL (extract, transform, load) process in AWS Glue automatically generates and optimizes code as part of this advanced aws service.
  • Provides API for developers The API provides additional tools for developers to work effectively and efficiently with the AWS Glue service inside the amazon cloud.
  • Job scheduler Multiple jobs can be started at the same time in AWS Glue by scheduling and calling jobs using event-based triggers or on-demand triggers in amazon aws.
  • Developers endpoints Developers can use it to debug Glue and develop custom readers, writers, and transformations. And then it can also be imported into a custom library within amazon web services.

3) Why are we using AWS Glue?

  • It is a serverless data integration tool under amazon aws.
  • It’s a cost-effective option in the amazon cloud environment.
  • Scala or Python is used in this aws service.
  • AWS Glue provides easy-to-use tools to create and track triggered activities across amazon web services.
  • It reduces data analysis time when working with large datasets stored in aws s3.

Also Read – AWS Lambda Interview Questions

4) What are the differences between classifiers and crawlers in AWS Glue?

A classifier in Aws Glue is used to classify data stored in S3 and then used for ETL purposes. While crawlers are used to scan different types of data stored in S3.

5) Please give me an example of automated data processing using AWS Glue.

Last time I created an automated workflow that extracts data from various sources such as aws s3, transforms it into a consistent format, and then loads it into a data warehouse for analysis within amazon web services.

6) Explain the component of aws glue?

There are four components in aws glue –

  1. Data catalogues—It is a technical metadata repository that is used to keep references to data that is used as sources and targets in amazon aws.
  2. Crawler – It is used to scan different types of data stored in S3 within the amazon cloud.
  3. Jobs – Jobs are workflows, and it uses a data catalogue to process data as part of this scalable aws service.
  4. Triggers – It automates the job execution process with event-based triggers or on-demand triggers in amazon web services.

7) Is there an alternative to AWS Glue? (Read carefully; this question is mostly asked in AWS Glue interview questions.)

Yes, there are some alternatives—

  • IBM DataStage
  • Talend Open Studio
  • Apache Airflow
  • Informatica PowerCenter

These tools also integrate with platforms like amazon aws and other cloud solutions in the amazon cloud ecosystem.

8) what are the limitations of aws glue?

  • Skilled team required for managing this aws service.
  • Only support structured databases, not traditional databases, in some amazon web services use cases.
  • Problems with real-time data in complex operations inside the amazon cloud.
  • Job bookmarks are not supported.
  • It can be costly for large-scale integration projects within amazon aws.

9) What programming languages ​​are used in AWS Glue?

To develop ETL scripts, AWS Glue supports only two programming languages ​​as of now under amazon web services

  • Scala
  • Python

AWS Glue Interview Questions For Experienced Professionals—

Here We learn the Second Category which is, AWS Glue interview Questions for Experienced Professionals working with advanced amazon aws architectures.

1) When an AWS Glue job times out, how do we retry it?

Retrying works if a task has failed; it does not work if it has timed out. To retry, we will need to create custom logic, like listening to EventBridge Glue timeout events and then, after that, running a Lambda to restart our task within the amazon cloud environment.

2) What is AWS Glue Studio?

AWS Glue Studio is a drag-and-drop user interface that creates, manages, and monitors AWS Glue ETL jobs in amazon web services. It is used to define sources, transformations, and targets by which ETL code is automatically generated as part of this powerful aws service. (This was also an important AWS Glue interview question.)

Also Read – AWS EC2 interview questions

3) What are some of the differences between using AWS Glue’s dynamic frames and Apache Spark’s data frames?

AWS Glue Interview Questions

4) How to use Machine Learning Transformations for data cleansing and preparation in aws glue?

Follow the steps given below to use Machine Learning Transformations for data cleansing and preparation in aws glue within amazon aws –

  • Create a Crawler
  • Define Schema
  • Develop ML Transforms
  • Train ML Model
  • Apply ML Model
  • Create Job
  • Execute and Monitor

5) Using Glue, what data stores can I crawl?

The crawler can crawl both table-based and file-based data stores. These are some of the data stores that the crawler can crawl –

  • Amazon Simple Storage Service (Amazon S3)
  • Amazon DynamoDB Amazon Redshift
  • Amazon Relational Database Service (Amazon RDS)
  • Amazon Aurora
  • Microsoft SQL Server
  • MySQL
  • Oracle

These integrations make AWS Glue a highly versatile aws service within the amazon web services ecosystem.

6) Which AWS services use AWS Glue Data Catalogue?

These are some AWS services that use AWS Glue Data Catalogue:

  • Amazon EMR
  • Amazon Athena
  • AWS Lake Creation
  • Amazon Redshift Spectrum
  • AWS Glue Data Catalog Client for Apache Hive Metastore

All these services operate within the broader amazon cloud and are part of the amazon aws platform.

Conclusion

We know there is a lot to learn, but we have included the most commonly asked AWS Glue interview questions, and I think you will get some knowledge from it about amazon web services and related aws service tools. If you want to know more about interview or technical preparation for your IT job in the amazon cloud, then please contact us; we can definitely help you with that. We helped many students to get their dream job in amazon aws technologies. And now with our help they’ve gotten to where they wanted in less time than they ever imagined. Just contact us for more information.