Free Practice Amazon AWS-DEA-C01 Exam Questions 2025

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

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Total 513 Questions | Updated On: Jun 05, 2025

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Question 1

A research institution is looking to transition their on-premises data analytics platform, which includes Apache Hadoop clusters and a comprehensive data catalog managed in an Apache Hive metastore, to the AWS cloud. They are adopting Amazon EMR for their Hadoop workloads and require a serverless, cost-effective solution to migrate and manage their existing data catalog.

Which solution should the institution implement to migrate their Hive metastore to AWS while ensuring a serverless and cost-effective data catalog management?

A : Migrate the Hive metastore to Amazon RDS with AWS Database Migration Service (DMS), then connect the RDS instance to Amazon EMR clusters.

B : Use AWS Glue Data Catalog to import the existing Hive metastore, making it the centralized metadata repository, and integrate it with Amazon EMR.

C : Set up an Amazon EMR cluster with a configured Hive metastore, migrate the on-premises metastore to EMR, and utilize AWS Glue Data Catalog for catalog synchronization.

D : Implement Amazon Athena to reconstruct the data catalog from the Hive metastore data stored in Amazon S3, integrating it with EMR for analytics.

Answer: B

Question 2

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

Question 3

A photography studio stores its high-resolution image files in an Amazon S3 bucket. Recently, they encountered issues with accidental overwrites of important files. The studio requires a solution to prevent the overwriting and accidental deletion of their images while ensuring that the latest version of a file is readily accessible.

Which single feature should the photography studio enable on their S3 bucket to address this issue effectively?

A : Activate S3 Versioning to maintain multiple versions of each file.

B : Enable S3 Object Lock in compliance mode for strict WORM (Write Once, Read Many) protection.

C : Configure S3 Intelligent-Tiering to manage the storage of the files efficiently.

D : Implement S3 Lifecycle policies to archive older versions of files to S3 Glacier.

Answer: A

Question 4

A company has a frontend ReactJS website that uses Amazon API Gateway to invoke REST APIs. The APIs

perform the functionality of the website. A data engineer needs to write a Python script that can be

occasionally invoked through API Gateway. The code must return results to API Gateway.

Which solution will meet these requirements with the LEAST operational overhead?

A : Deploy a custom Python script on an Amazon Elastic Container Service (Amazon ECS) cluster.

B : Create an AWS Lambda Python function with provisioned concurrency.

C : Deploy a custom Python script that can integrate with API Gateway on Amazon Elastic Kubernetes Service (Amazon EKS).

D : Create an AWS Lambda function. Ensure that the function is warm byscheduling an Amazon EventBridge rule to invoke the Lambda function every 5 minutes by usingmock events.

Answer: B

Question 5

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

Page: 1 / 103

Total 513 Questions | Updated On: Jun 05, 2025

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