AWS GLUE | Data Engineer Interview Questions

AWS GLUE | Data Engineer Interview Questions

In this article, we’ll explore a list of AWS Glue interview questions commonly asked to candidates with 3+ years of experience.

Let’s see the Questions:

1) What is AWS Glue, and what are its key functionalities?

2) How does AWS Glue streamline the ETL process?

3) Can you explain the various components of AWS Glue?

4) What advantages does AWS Glue offer over traditional ETL methods?

5) How would you describe the workflow of AWS Glue?

6) What are crawlers in AWS Glue, and what is their function?

7) How does AWS Glue manage schema evolution?

8) What is the Glue Data Catalog, and why is it significant?

9) What is the difference between a JDBC connection and a native connection in AWS Glue?

10) What are Glue Jobs, and how are they created?

11) How can you monitor and troubleshoot Glue jobs in AWS Glue?

12) What are triggers in AWS Glue, and when should they be used?

13) Can you explain how AWS Glue handles data encryption?

14) How does AWS Glue integrate with other AWS services?

15) What are some limitations or challenges associated with using AWS Glue?

16) Can you explain AWS Glue’s pricing model and the factors influencing costs?

17) How does AWS Glue address data quality and data cleansing?

18) What are some best practices for optimizing AWS Glue’s performance?

19) Can you describe a real-world use case where AWS Glue would be an ideal solution?

20) What are some alternatives to AWS Glue, and how does it compare in terms of features and functionality?

I hope these questions assist anyone preparing for their interviews.

Thank you for reading this post.

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