100% Free Amazon AWS-DEA-C01 Practice Exam Questions Online 2026

Question 1

A company stores sensitive documents in an Amazon S3 bucket in the US East (N. Virginia) region. To comply with data redundancy policies, they require an automatic backup of these documents to a bucket in the EU (Frankfurt) region.

Which Amazon S3 feature should the company use to ensure that the documents are automatically replicated to the second bucket in a different region?

A : S3 Lifecycle Policies

B : S3 Cross-Region Replication (CRR)

C : S3 Transfer Acceleration

D : S3 Versioning

Answer: B

Question 2

A Data Engineering Team is working on a project that involves extracting data from multiple databases, including both SQL and NoSQL sources, into an AWS Glue job for further processing. They need to ensure that their connections to these diverse databases are efficient and secure.

Which of the following approaches is most appropriate for establishing these connections?

A : Directly embed database credentials in the AWS Glue ETL script and use native libraries of the respective databases for establishing connections.

B : Use AWS Glue-s built-in connectors for JDBC and ODBC, ensuring database credentials are stored securely in AWS Secrets Manager and accessed via Glue scripts.

C : Configure AWS Direct Connect for each database source to ensure a dedicated, private connection between the databases and AWS Glue.

D : Utilize Amazon VPC peering connections for each database, and manage authentication through network-level security without needing individual credentials.

Answer: B

Question 3

A marketing firm analyzes social media engagement data which is collected daily and saved as .csv files in an Amazon S3 bucket. The firm's data engineer needs to ensure that the S3 data is cataloged daily for use with AWS analytics services.

What steps should the data engineer take to catalog the social media data files in the AWS Glue Data Catalog each day with the least manual effort?

A : Implement an Amazon EventBridge rule to trigger an AWS Step Functions workflow that runs the Glue crawler daily.

B : Assign an IAM role with the necessary Glue permissions to the AWS Glue crawler, point it to the S3 bucket-s social media data, and set a daily schedule for the crawler.

C : Configure an AWS Batch job to execute the AWS Glue crawler for the S3 data, with a scheduled CloudWatch Events rule to trigger the job each day.

D : Use AWS Lambda to invoke an AWS Glue crawler for the social media data in S3, running the function with a CloudWatch Events rule on a daily schedule.

Answer: B

Question 4

In an effort to optimize their online gaming platform's performance, a Cloud Data Engineer decides to analyze the application's debug logs. These logs are generated by various game servers and automatically streamed to CloudWatch Logs. The engineer needs a quick and efficient way to perform exploratory analysis on these logs to identify any recurrent patterns or anomalies indicative of performance issues.

Which AWS service or feature should the engineer leverage for this task?

A : Employ Amazon OpenSearch Service for real-time analysis of the logs directly from CloudWatch.

B : Utilize CloudWatch Logs Insights for executing queries against the log data and gaining immediate insights.

C : Use AWS Lambda to process and transfer the logs from CloudWatch to Amazon S3, and then analyze them using Amazon Athena.

D : Set up an Amazon EMR cluster with Hadoop to import logs from CloudWatch and conduct a detailed analysis.

Answer: B

Question 5

A Cloud Data Engineer is troubleshooting a batch processing workflow where Amazon EC2 instances intermittently fail to process and load transformed data into an Amazon RDS instance. The EC2 instances transform data using a Python script and should handle varying loads efficiently. The Data Engineer observes that the EC2 instances are not scaling as expected, leading to timeouts and failed data loads during peak hours.

Which actions should the Data Engineer take to identify and rectify the scaling issues and prevent future timeouts and load failures? (Select TWO)

A : Transition to AWS Lambda for data transformation, using its automatic scaling to manage the varying load without manual intervention.

B : Increase the instance size of the EC2 instances to provide more consistent performance under peak loads.

C : Implement Amazon CloudWatch alarms to monitor EC2 CPU utilization and trigger scaling events more effectively.

D : Modify the EC2 Auto Scaling group policies to better match the workload patterns, ensuring that scaling occurs in anticipation of load increases.

E : Optimize the Python data transformation script to decrease the execution time and reduce the processing load on each EC2 instance.

Answer: C,D

Free Amazon AWS-DEA-C01 Practice Exam Questions and Answers 2026