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Data-Engineer-Associate Exam Questions Tutorials

AWS Certified Data Engineer - Associate (DEA-C01) Questions and Answers

Question 53

A company needs to store semi-structured transactional data in a serverless database.

The application writes data infrequently but reads it frequently, with millisecond retrieval required.

Options:

A.

Store the data in an Amazon S3 Standard bucket. Enable S3 Transfer Acceleration.

B.

Store the data in an Amazon S3 Apache Iceberg table. Enable S3 Transfer Acceleration.

C.

Store the data in an Amazon RDS for MySQL cluster. Configure RDS Optimized Reads.

D.

Store the data in an Amazon DynamoDB table. Configure a DynamoDB Accelerator (DAX) cache.

Question 54

A company has five offices in different AWS Regions. Each office has its own human resources (HR) department that uses a unique IAM role. The company stores employee records in a data lake that is based on Amazon S3 storage.

A data engineering team needs to limit access to the records. Each HR department should be able to access records for only employees who are within the HR department's Region.

Which combination of steps should the data engineering team take to meet this requirement with the LEAST operational overhead? (Choose two.)

Options:

A.

Use data filters for each Region to register the S3 paths as data locations.

B.

Register the S3 path as an AWS Lake Formation location.

C.

Modify the IAM roles of the HR departments to add a data filter for each department's Region.

D.

Enable fine-grained access control in AWS Lake Formation. Add a data filter for each Region.

E.

Create a separate S3 bucket for each Region. Configure an IAM policy to allow S3 access. Restrict access based on Region.

Question 55

A company uses Amazon RDS to store transactional data. The company runs an RDS DB instance in a private subnet. A developer wrote an AWS Lambda function with default settings to insert, update, or delete data in the DB instance.

The developer needs to give the Lambda function the ability to connect to the DB instance privately without using the public internet.

Which combination of steps will meet this requirement with the LEAST operational overhead? (Choose two.)

Options:

A.

Turn on the public access setting for the DB instance.

B.

Update the security group of the DB instance to allow only Lambda function invocations on the database port.

C.

Configure the Lambda function to run in the same subnet that the DB instance uses.

D.

Attach the same security group to the Lambda function and the DB instance. Include a self-referencing rule that allows access through the database port.

E.

Update the network ACL of the private subnet to include a self-referencing rule that allows access through the database port.

Question 56

A company uploads .csv files to an Amazon S3 bucket. The company's data platform team has set up an AWS Glue crawler to perform data discovery and to create the tables and schemas.

An AWS Glue job writes processed data from the tables to an Amazon Redshift database. The AWS Glue job handles column mapping and creates the Amazon Redshift tables in the Redshift database appropriately.

If the company reruns the AWS Glue job for any reason, duplicate records are introduced into the Amazon Redshift tables. The company needs a solution that will update the Redshift tables without duplicates.

Which solution will meet these requirements?

Options:

A.

Modify the AWS Glue job to copy the rows into a staging Redshift table. Add SQL commands to update the existing rows with new values from the staging Redshift table.

B.

Modify the AWS Glue job to load the previously inserted data into a MySQL database. Perform an upsert operation in the MySQL database. Copy the results to the Amazon Redshift tables.

C.

Use Apache Spark's DataFrame dropDuplicates() API to eliminate duplicates. Write the data to the Redshift tables.

D.

Use the AWS Glue ResolveChoice built-in transform to select the value of the column from the most recent record.