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Amazon Web Services Data-Engineer-Associate Exam Dumps Questions and Answers

Exam Code: Data-Engineer-Associate
Certification: AWS Certified Associate
Last Update: Sep 8, 2024
Questions: 80 With Expert Explanation
10  Customers Passed Amazon Web Services Data-Engineer-Associate
89%  Average Success In Real Exam
89%  Questions came word by word from this dump
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AWS Certified Data Engineer - Associate (DEA-C01) Questions and Answers

Questions 1

A company is migrating a legacy application to an Amazon S3 based data lake. A data engineer reviewed data that is associated with the legacy application. The data engineer found that the legacy data contained some duplicate information.

The data engineer must identify and remove duplicate information from the legacy application data.

Which solution will meet these requirements with the LEAST operational overhead?

Options:

A.

Write a custom extract, transform, and load (ETL) job in Python. Use the DataFramedrop duplicatesf) function by importingthe Pandas library to perform data deduplication.

B.

Write an AWS Glue extract, transform, and load (ETL) job. Usethe FindMatches machine learning(ML) transform to transform the data to perform data deduplication.

C.

Write a custom extract, transform, and load (ETL) job in Python. Import the Python dedupe library. Use the dedupe library to perform data deduplication.

D.

Write an AWS Glue extract, transform, and load (ETL) job. Import the Python dedupe library. Use the dedupe library to perform data deduplication.

Questions 2

A company receives .csv files that contain physical address data. The data is in columns that have the following names: Door_No, Street_Name, City, and Zip_Code. The company wants to create a single column to store these values in the following format:

Which solution will meet this requirement with the LEAST coding effort?

Options:

A.

Use AWS Glue DataBrew to read the files. Use the NEST TO ARRAY transformation to create the new column.

B.

Use AWS Glue DataBrew to read the files. Use the NEST TO MAP transformation to create the new column.

C.

Use AWS Glue DataBrew to read the files. Use the PIVOT transformation to create the new column.

D.

Write a Lambda function in Python to read the files. Use the Python data dictionary type to create the new column.

Questions 3

A company uses Amazon RDS for MySQL as the database for a critical application. The database workload is mostly writes, with a small number of reads.

A data engineer notices that the CPU utilization of the DB instance is very high. The high CPU utilization is slowing down the application. The data engineer must reduce the CPU utilization of the DB Instance.

Which actions should the data engineer take to meet this requirement? (Choose two.)

Options:

A.

Use the Performance Insights feature of Amazon RDS to identify queries that have high CPU utilization. Optimize the problematic queries.

B.

Modify the database schema to include additional tables and indexes.

C.

Reboot the RDS DB instance once each week.

D.

Upgrade to a larger instance size.

E.

Implement caching to reduce the database query load.