Free Practice Amazon Data-Engineer-Associate Exam Questions 2025

Stay ahead with 100% Free AWS Certified Data Engineer Associate (DEA-C01) Data-Engineer-Associate Dumps Practice Questions

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Total 513 Questions | Updated On: Apr 24, 2025

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Question 1

A Cloud Data Engineering Team is responsible for maintaining a large-scale application hosted on AWS. The team needs to analyze the application's logs efficiently to monitor performance and identify issues.

These logs are currently stored in JSON format in an Amazon S3 bucket and are frequently updated. The team wants to leverage a service that can query these logs directly from S3 with minimal setup and maintenance, allowing them to quickly derive insights and patterns.

Which AWS service should they choose for this purpose?

A : Configure Amazon EMR with Apache Spark to process and analyze the log data stored in S3.

B : Set up an Amazon OpenSearch Service domain to index the log data, enabling powerful search and analysis capabilities.

C : Use Amazon Athena to directly query the logs in S3 using SQL-like queries without the need for loading data into a separate analytics tool.

D : Deploy a custom log analysis solution on Amazon EC2 instances, utilizing tools like Elasticsearch for querying and analysis.

Answer: C

Question 2

A company stores large volumes of data in Amazon S3, with access patterns that vary unpredictably. They need a cost-effective storage solution that automatically adjusts pricing based on data retrieval frequency without manual intervention.

Which storage option should the company use to ensure cost savings for their variable data access patterns?

A : Use the Amazon S3 Glacier storage class for long-term archival storage of the data.

B : Store the data using the Amazon S3 Standard storage class for consistent high availability.

C : Store objects in the Amazon S3 One Zone-Infrequent Access storage class for data that is accessed less frequently.

D : Configure the Amazon S3 buckets to utilize the Intelligent-Tiering storage class.

Answer: D

Question 3

A data engineer needs to build an enterprise data catalog based on the company's Amazon S3 buckets andAmazon RDS databases. The data catalog must include storage format metadata for the data in the catalog.Which solution will meet these requirements with the LEAST effort?

A : Use an AWS Glue crawler to scan the S3 buckets and RDS databases and build a data catalog. Use data stewards to inspect the data and update the data catalog with the data format.

B : Use an AWS Glue crawler to build a data catalog. Use AWS Glue crawler classifiers to recognize the format of data and store the format in the catalog.

C : Use Amazon Macie to build a data catalog and to identify sensitive data elements. Collect the data format information from Macie.

D : Use scripts to scan data elements and to assign data classifications based on the format of the data.

Answer: B

Question 4

A data engineer at a financial analysis firm is responsible for enriching their AWS-based data lake with external financial datasets. The firm requires regular updates of stock market data and economic indicators from various data providers, which should be integrated seamlessly into their Amazon S3-based data lake for further processing and analysis.

Which AWS service should the data engineer use to automate the ingestion of these external financial datasets into their data lake with minimal effort?

A : Implement an AWS Glue crawler to extract data from external data sources and load it into the data lake.

B : Configure Amazon AppFlow to create flows between the data providers and S3, syncing the financial datasets to the data lake.

C : Set up a recurring AWS Lambda function to retrieve and upload data from third-party APIs to their S3 data lake.

D : Use AWS Data Exchange to subscribe to relevant financial datasets and directly import them into their S3 data lake.

Answer: D

Question 5

While reviewing the data security policies of their company, a Cloud Data Engineering Consultant identifies a need to enhance the protection of sensitive data stored in various AWS services such as Amazon S3, RDS, and DynamoDB.

Which method would be most effective in securing the data across these services to prevent unauthorized access?

A : Encrypt the data at rest using AWS KMS-managed keys and ensure that encryption in transit is enabled for all communications.

B : Rely solely on AWS IAM policies to govern access, granting necessary permissions to each service based on the role of the user or service accessing the data.

C : Implement network access control lists (NACLs) and security groups to restrict access to the resources based on IP addresses.

D : Place all data in a private VPC and disable internet access, requiring all access to occur through a VPN or Direct Connect.

Answer: A

Page: 1 / 103

Total 513 Questions | Updated On: Apr 24, 2025

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