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Amazon AWS Certified Data Engineer - Associate (DEA-C01) Sample Questions:

1. A company stores customer data in an Amazon S3 bucket. The company must permanently delete all customer data that is older than 7 years.

A) Configure an S3 Lifecycle policy to enable S3 Object Lock on all objects that are older than 7 years.
B) Configure an S3 Lifecycle policy to move objects that are older than 7 years to S3 Glacier Deep Archive.
C) Use Amazon Athena to query the S3 bucket for objects that are older than 7 years. Configure Athena to delete the results.
D) Configure an S3 Lifecycle policy to permanently delete objects that are older than 7 years.

2. A company is building data processing pipelines by using AWS Glue. The pipelines access data stored in Amazon S3. The company has organized the data into folders with prefixes that represent different classification levels. The company needs to restrict AWS Glue jobs to access only specific prefixes based on the data classification. The company must also restrict access to business hours (9 AM to 5 PM).
Which elements must the company include in a custom IAM policy to meet these requirements?

A) A Condition element that uses the s3:ResourceAccount condition key to restrict bucket access and a Deny statement that applies outside of business hours.
B) A Resource element with S3 object Amazon Resource Name (ARN) patterns that use wildcards for each prefix and a Condition element that uses the $util.time variable with TimeGreaterThan and TimeLessThan operators.
C) A Condition element that uses the s3:prefix condition key to restrict folder access and aws:CurrentTime with DateGreaterThanEquals and DateLessThanEquals to restrict hours of operation.
D) A Resource element with S3 object Amazon Resource Name (ARN) patterns that use wildcards for each prefix and a Condition element that uses the aws:CurrentTime condition key with DateGreaterThan and DateLessThan operators.

3. A data engineer needs to analyze time-sensitive sales data. The company stores the data in an Amazon S3 bucket. The data engineer uses AWS Glue Data Catalog to access the data.
When performing the analysis, the data engineer notices that some records are missing or out of date.
What is the likely cause of these issues?

A) Versioning is not enabled on the S3 bucket.
B) AWS Glue Data Catalog is not up to date with the latest S3 partition changes.
C) The AWS Glue job schedules overlap with one another.
D) Incorrect IAM roles are assigned to the AWS Glue jobs.

4. An application uses an AWS Lambda function that is configured with managed runtimes. The Lambda function successfully writes logs to the default Amazon CloudWatch Logs log group. A data engineer wants to modify the logging behavior to show only ERROR level logs for application logs and WARN level logs for system logs.
Which solution will meet these requirements?

A) Configure the Lambda function to use the JSON log format.
B) Configure the Lambda function to send logs to a custom log group.
C) Set the log level to ERROR in the Lambda function code.
D) Add additional permissions to the Lambda execution role.

5. A data engineer needs to use AWS Step Functions to design an orchestration workflow. The workflow must parallel process a large collection of data files and apply a specific transformation to each file.
Which Step Functions state should the data engineer use to meet these requirements?

A) Wait state
B) Map state
C) Parallel state
D) Choice state

Solutions: