New Year Sale Limited Time 70% Discount Offer - Ends in 0d 00h 00m 00s - Coupon code: simple70

Amazon Web Services AWS Certified Data Engineer - Associate (DEA-C01) Data-Engineer-Associate Question # 18 Topic 2 Discussion

Amazon Web Services AWS Certified Data Engineer - Associate (DEA-C01) Data-Engineer-Associate Question # 18 Topic 2 Discussion

Data-Engineer-Associate Exam Topic 2 Question 18 Discussion:
Question #: 18
Topic #: 2

A company is setting up a data pipeline in AWS. The pipeline extracts client data from Amazon S3 buckets, performs quality checks, and transforms the data. The pipeline stores the processed data in a relational database. The company will use the processed data for future queries.

Which solution will meet these requirements MOST cost-effectively?


A.

Use AWS Glue ETL to extract the data from the S3 buckets and perform the transformations. Use AWS Glue Data Quality to enforce suggested quality rules. Load the data and the quality check results into an Amazon RDS for MySQL instance.


B.

Use AWS Glue Studio to extract the data from the S3 buckets. Use AWS Glue DataBrew to perform the transformations and quality checks. Load the processed data into an Amazon RDS for MySQL instance. Load the quality check results into a new S3 bucket.


C.

Use AWS Glue ETL to extract the data from the S3 buckets and perform the transformations. Use AWS Glue DataBrew to perform quality checks. Load the processed data and the quality check results into a new S3 bucket.


D.

Use AWS Glue Studio to extract the data from the S3 buckets. Use AWS Glue DataBrew to perform the transformations and quality checks. Load the processed data and quality check results into an Amazon RDS for MySQL instance.


Get Premium Data-Engineer-Associate Questions

Contribute your Thoughts:


Chosen Answer:
This is a voting comment (?). It is better to Upvote an existing comment if you don't have anything to add.