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

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

1. A company has multiple applications that use datasets that are stored in an Amazon S3 bucket. The company has an ecommerce application that generates a dataset that contains personally identifiable information (PII).
The company has an internal analytics application that does not require access to the PII.
To comply with regulations, the company must not share PII unnecessarily. A data engineer needs to implement a solution that with redact PII dynamically, based on the needs of each application that accesses the dataset.
Which solution will meet the requirements with the LEAST operational overhead?

A) Create an S3 bucket policy to limit the access each application has. Create multiple copies of the dataset. Give each dataset copy the appropriate level of redaction for the needs of the application that accesses the copy.
B) Create an S3 Object Lambda endpoint. Use the S3 Object Lambda endpoint to read data from the S3 bucket. Implement redaction logic within an S3 Object Lambda function to dynamically redact PII based on the needs of each application that accesses the data.
C) Use AWS Glue to transform the data for each application. Create multiple copies of the dataset. Give each dataset copy the appropriate level of redaction for the needs of the application that accesses the copy.
D) Create an API Gateway endpoint that has custom authorizers. Use the API Gateway endpoint to read data from the S3 bucket. Initiate a REST API call to dynamically redact PII based on the needs of each application that accesses the data.

2. A company has an application that uses an Amazon API Gateway REST API and an AWS Lambda function to retrieve data from an Amazon DynamoDB instance. Users recently reported intermittent high latency in the application ' s response times. A data engineer finds that the Lambda function experiences frequent throttling when the company ' s other Lambda functions experience increased invocations.
The company wants to ensure the API ' s Lambda function operates without being affected by other Lambda functions.
Which solution will meet this requirement MOST cost-effectively?

A) Configure provisioned concurrency for the Lambda function.
B) Increase the Lambda function timeout and allocated memory.
C) Increase the number of read capacity unit (RCU) in DynamoDB.
D) Configure reserved concurrency for the Lambda function.

3. A company uses AWS Glue Apache Spark jobs to handle extract, transform, and load (ETL) workloads. The company has enabled logging and monitoring for all AWS Glue jobs. One of the AWS Glue jobs begins to fail. A data engineer investigates the error and wants to examine metrics for all individual stages within the job. How can the data engineer access the stage metrics?

A) Examine the AWS Glue job and stage logs in AWS CloudTrail logs.
B) Examine the AWS Glue job and stage details by using the run insights feature on the job.
C) Examine the AWS Glue job and stage metrics in Amazon CloudWatch.
D) Examine the AWS Glue job and stage details in the Spark UI.

4. A company needs to build an extract, transform, and load (ETL) pipeline that has separate stages for batch data ingestion, transformation, and storage. The pipeline must store the transformed data in an Amazon S3 bucket. Each stage must automatically retry failures. The pipeline must provide visibility into the success or failure of individual stages.
Which solution will meet these requirements with the LEAST operational overhead?

A) Schedule Apache Airflow directed acyclic graphs (DAGs) on Amazon Managed Workflows for Apache Airflow (Amazon MWAA) to orchestrate pipeline steps. Use Amazon Simple Queue Service (Amazon SQS) to ingest data. Use AWS Glue jobs to transform data and store the data in the S3 bucket.
B) Chain AWS Glue jobs that perform each stage together by using job triggers. Set the MaxRetries field to 0.
C) Deploy AWS Step Functions workflows to orchestrate AWS Lambda functions that ingest data. Use AWS Glue jobs to transform the data and store the data in the S3 bucket.
D) Build an Amazon EventBridge-based pipeline that invokes AWS Lambda functions to perform each stage.

5. Two developers are working on separate application releases. The developers have created feature branches named Branch A and Branch B by using a GitHub repository ' s master branch as the source.
The developer for Branch A deployed code to the production system. The code for Branch B will merge into a master branch in the following week ' s scheduled application release.
Which command should the developer for Branch B run before the developer raises a pull request to the master branch?

A) git diff branchB mastergit commit -m < message >
B) git pull master
C) git fetch -b master
D) git rebase master

Solutions: