Free Amazon AWS-DEA-C01 Exam Questions

Question 1

A company wants to migrate an application and an on-premises Apache Kafka server to AWS. Theapplication processes incremental updates that an on-premises Oracle database sends to the Kafka server. Thecompany wants to use the replatform migration strategy instead of the refactor strategy.Which solution will meet these requirements with the LEAST management overhead?

A : Amazon Kinesis Data Streams

B : Amazon Managed Streaming for Apache Kafka (Amazon MSK) provisioned cluster

C : Amazon Data Firehose

D : Amazon Managed Streaming for Apache Kafka (Amazon MSK) Serverless

Answer: D

Question 2

A Data Engineering Team is tasked with enhancing the CI/CD workflow of their complex ETL pipeline on AWS. The pipeline involves frequent but varying updates—from minor feature additions to major architectural overhauls. The team uses GitHub for version control and manages a diverse array of AWS resources in their projects.

They require a CI/CD solution that not only automates build and test processes upon each commit but also allows for customizable, condition-based deployment strategies (e.g., deploying only specific branches or tags, or based on commit messages).

Given these requirements, which AWS service or combination of services would be the most effective?

A : AWS Lambda and AWS CodePipeline, where a Lambda function is triggered by GitHub webhooks to determine if the deployment should proceed, followed by CodePipeline managing the build, test, and deployment phases.

B : AWS CodeCommit and AWS CodePipeline, with CodeCommit to replace GitHub for enhanced integration within the AWS ecosystem, and CodePipeline to orchestrate the entire process including condition-based deployments.

C : AWS CodePipeline, integrating both GitHub and AWS CodeBuild. CodePipeline to manage the overall workflow and CodeBuild for the build and testing phases, leveraging pipeline actions for deployment conditions.

D : AWS CodeBuild and AWS CodeDeploy, with CodeBuild handling the build and test processes and CodeDeploy managing advanced deployment strategies based on GitHub webhook events.

Answer: C

Question 3

A company has as JSON file that contains personally identifiable information (PIT) data and non-PII data. The company needs to make the data available for querying and analysis. The non-PII data must be available to everyone in the company. The PII data must be available only to a limited group of employees. Which solution will meet these requirements with the LEAST operational overhead?

A : Store the JSON file in an Amazon S3 bucket. Configure AWS Glue to split the file into one file that contains the PII data and one file that contains the non-PII data. Store the output files in separate S3 buckets. Grant the required access to the buckets based on the type of user.

B : Store the JSON file in an Amazon S3 bucket. Use Amazon Macie to identify PII data and to grant access based on the type of user.

C : Store the JSON file in an Amazon S3 bucket. Catalog the file schema in AWS Lake Formation. Use Lake Formation permissions to provide access to the required data based on the type of user.

D : Create two Amazon RDS PostgreSQL databases. Load the PII data and the non-PII data into the separate databases. Grant access to the databases based on the type of user.

Answer: C

Question 4

A mobile app tracks user activity data, which is continuously streamed to Amazon Kinesis Data Streams. The app requires a solution to process this data in real-time and update user profiles stored in Amazon DynamoDB based on the activity data.

What combination of AWS services should be used for real-time processing of the stream and updating the user profiles in DynamoDB?

A : Use AWS Lambda to process data from Kinesis Data Streams and update records in Amazon DynamoDB.

B : Configure Amazon EMR to handle stream processing and update DynamoDB with batch jobs.

C : Deploy Amazon EC2 instances to consume and process the stream, then write to DynamoDB.

D : Use AWS Glue to extract and transform streaming data, and load into DynamoDB.

Answer: A

Question 5

A Data Engineering Consultant is working on a data processing project that involves AWS services, and the project's code is stored in a Git repository hosted on AWS CodeCommit. The project has a well-established branching strategy, and the consultant needs to update their local copy with the latest changes from the remote repository's main branch, to include recent updates related to AWS configurations and scripts.

Which Git command should be used to update the local repository with these latest changes from AWS CodeCommit?

A : git push origin main

B : git fetch origin mai

C : git commit -m "Update with latest main"

D : git pull origin main

Answer: D