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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: Jan 30, 2025
Questions: 152 With Expert Explanation
10  Customers Passed Amazon Web Services Data-Engineer-Associate
89%  Average Success In Real Exam
95%  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 data engineer maintains a materialized view that is based on an Amazon Redshift database. The view has a column named load_date that stores the date when each row was loaded.

The data engineer needs to reclaim database storage space by deleting all the rows from the materialized view.

Which command will reclaim the MOST database storage space?

Options:

A.

Option A

B.

Option B

C.

Option C

D.

Option D

Questions 2

A company receives a data file from a partner each day in an Amazon S3 bucket. The company uses a daily AW5 Glue extract, transform, and load (ETL) pipeline to clean and transform each data file. The output of the ETL pipeline is written to a CSV file named Dairy.csv in a second 53 bucket.

Occasionally, the daily data file is empty or is missing values for required fields. When the file is missing data, the company can use the previous day's CSV file.

A data engineer needs to ensure that the previous day's data file is overwritten only if the new daily file is complete and valid.

Which solution will meet these requirements with the LEAST effort?

Options:

A.

Invoke an AWS Lambda function to check the file for missing data and to fill in missing values in required fields.

B.

Configure the AWS Glue ETL pipeline to use AWS Glue Data Quality rules. Develop rules in Data Quality Definition Language (DQDL) to check for missing values in required files and empty files.

C.

Use AWS Glue Studio to change the code in the ETL pipeline to fill in any missing values in the required fields with the most common values for each field.

D.

Run a SQL query in Amazon Athena to read the CSV file and drop missing rows. Copy the corrected CSV file to the second S3 bucket.

Questions 3

A data engineer needs to maintain a central metadata repository that users access through Amazon EMR and Amazon Athena queries. The repository needs to provide the schema and properties of many tables. Some of the metadata is stored in Apache Hive. The data engineer needs to import the metadata from Hive into the central metadata repository.

Which solution will meet these requirements with the LEAST development effort?

Options:

A.

Use Amazon EMR and Apache Ranger.

B.

Use a Hive metastore on an EMR cluster.

C.

Use the AWS Glue Data Catalog.

D.

Use a metastore on an Amazon RDS for MySQL DB instance.

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