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 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 3

A data engineering team wants to run SQL queries on their Amazon Redshift cluster from various applications without managing database connections. Which AWS service allows them to submit and manage these queries efficiently?

A : Implement AWS Lambda with Redshift as a trigger for query execution.

B : Use the Amazon Redshift Query Editor for direct SQL execution.

C : Use the Amazon Redshift Data API to run and manage SQL queries.

D : Deploy Amazon EC2 instances to host applications that connect to Redshift.

Answer: C

Question 4

A Data Engineering Consultant is tasked with establishing a CI/CD pipeline for a data engineering project in AWS. The project involves a multi-stage data processing application, requiring reliable build, test, and deployment phases, and should leverage infrastructure as code for consistency and speed. The team desires a highly automated pipeline, well integrated into the AWS ecosystem, with minimal manual interventions and quick turnaround times for deploying updates.

Which of the following setups would best meet these requirements?

A : Store the code in a GitHub repository, use Travis CI for continuous integration and deployment, Ansible for infrastructure provisioning, and deploy to AWS Elastic Beanstalk for managing application deployment.

B : Implement source control with GitLab, use AWS CodeBuild for build and test, AWS CloudFormation for infrastructure management, and manually deploy using AWS Elastic Container Service (ECS) tasks and services.

C : Utilize AWS CodeCommit for source control, AWS CodeBuild for building the application, AWS CodePipeline for orchestrating the CI/CD process, AWS CloudFormation for infrastructure as code, and AWS CodeDeploy for deploying the application across environments.

D : Adopt AWS CodeCommit for version control, integrate CircleCI for building and testing, use Terraform for infrastructure as code, and script deployment processes using AWS CLI within CircleCI jobs.

Answer: C

Question 5

A company stores its processed data in an S3 bucket. The company has a strict data access policy. Thecompany uses IAM roles to grant teams within the company different levels of access to the S3 bucket.The company wants to receive notifications when a user violates the data access policy. Each notificationmust include the username of the user who violated the policy.Which solution will meet these requirements?

A : Use AWS Config rules to detect violations of the data access policy. Set up compliance alarms.

B : Use Amazon CloudWatch metrics to gather object-level metrics. Set up CloudWatch alarms.

C : Use AWS CloudTrail to track object-level events for the S3 bucket. Forward events to Amazon CloudWatch to set up CloudWatch alarms.

D : Use Amazon S3 server access logs to monitor access to the bucket. Forward the access logs to an Amazon CloudWatch log group. Use metric filters on the log group to set up CloudWatch alarms.

Answer: C