AWS-DEA-C01 Practice Online

Question 1

A retail organization utilizes Amazon Redshift as its primary data warehousing solution. To ensure that their reporting dashboards reflect the most current data, they need a low-maintenance method to regularly update their Redshift materialized views.

Which approach requires the least effort to automate the updating process for the materialized views?

A : Implement an AWS Lambda function to execute the refresh command on a set schedule.

B : Create an Amazon EventBridge rule to invoke a refresh command in Amazon Redshift.

C : Configure Amazon Redshift to automatically refresh materialized views at regular intervals.

D : Schedule an Amazon Redshift event subscription to trigger materialized view refreshes.

Answer: A

Question 2

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 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 team at an online retail company is optimizing the performance of their Amazon Redshift data warehouse. The warehouse contains a large sales table with millions of rows and a smaller products table. Queries often join these two tables, and the team wants to optimize the query performance, especially for these join operations.

Which Redshift distribution style should the team use for the sales and products tables to enhance query performance?

A : Configure the sales table to ALL distribution and the products table to EVEN distribution.

B : Configure the sales table to AUTO distribution and the products table to ALL distribution.

C : Configure the sales table to EVEN distribution and the products table to KEY distribution.

D : Configure KEY distribution for both the sales and products tables based on the join column.

Answer: B

Question 5

A company is integrating a business intelligence (BI) tool with their data warehouse hosted on Microsoft SQL Server. The BI team requires regular data extracts to be transformed and stored in Amazon S3 for further analysis. The BI team needs a solution to manage this ETL process efficiently and at a low cost.

Which AWS service or feature is the most cost-effective for orchestrating an ETL pipeline that extracts data from Microsoft SQL Server, transforms it, and loads it into Amazon S3?

A : AWS Batch

B : AWS Glue DataBrew

C : AWS Data Pipeline

D : AWS Glue workflows

Answer: D

Name:	AWS Certified Data Engineer - Associate
Exam Code:	AWS-DEA-C01
Certification:	AWS Certified Data Engineer
Vendor:	Amazon
Total Questions:	441
Last Updated:	May 16, 2024

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