Free Amazon AWS-DEA-C01 Exam Questions

Question 1

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 2

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 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

As a Cloud Data Engineering Consultant, you are assisting a client in setting up a data warehouse using Amazon Redshift. The client's data warehouse stores sensitive financial information and is used by various departments within the organization, each requiring different levels of access. The client emphasizes the need for secure data sharing practices that would allow specific teams to access only the data relevant to their work. They seek your advice on implementing a solution within Amazon Redshift to grant permissions effectively and securely for sharing data across different teams.

To meet the client's need for secure, role-specific data access in their Amazon Redshift data warehouse, which of the following approaches would you recommend?

A : Utilize Redshift Spectrum to create external schemas and tables, granting access to these external tables to specific IAM roles assigned to different teams.

B : Configure Amazon Redshift Security Groups to control which teams can access the data warehouse, assigning specific IP address ranges for each team.

C : Leverage Amazon Redshift's Row-Level Security (RLS) feature to control access to rows of data based on user attributes such as team or role, enabling fine-grained access control within shared tables.

D : Implement Redshift Data Sharing to share live data across different Redshift clusters, using Redshift's ALTER DATASHARE command to add and manage consumer clusters' access to the data.

Answer: C

Question 5

Files from multiple data sources arrive in an Amazon S3 bucket on a regular basis. A data engineer wants to ingest new files into Amazon Redshift in near real time when the new files arrive in the S3 bucket. Which solution will meet these requirements?

A : Use the query editor v2 to schedule a COPY command to load new files into Amazon Redshift.

B : Use the zero-ETL integration between Amazon Aurora and Amazon Redshift to load new files into Amazon Redshift.

C : Use AWS Glue job bookmarks to extract, transform, and load (ETL) load new files into Amazon Redshift.

D : Use S3 Event Notifications to invoke an AWS Lambda function that loads new files into Amazon Redshift.

Answer: D