Free Amazon AWS-DEA-C01 Exam Questions

Absolute Free AWS-DEA-C01 Exam Practice for Comprehensive Preparation 

  • Amazon AWS-DEA-C01 Exam Questions
  • Provided By: Amazon
  • Exam: AWS Certified Data Engineer - Associate
  • Certification: AWS Certified Data Engineer
  • Total Questions: 582
  • Updated On: Dec 06, 2025
  • Rated: 4.9 |
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  • Question 1
    • A digital marketing agency wants to collect, analyze, and visualize web traffic data from their diverse portfolio of client websites for enhanced marketing insights. The solution needs to handle large volumes of data, offer powerful search capabilities, and provide an interactive dashboard for visualization and analysis.

      Which combination of AWS services should the agency use to collect, search, analyze, and visualize the web traffic data?


      Answer: A
  • Question 2
    • A Cloud Data Engineering Team is overseeing an AWS-based ETL pipeline that processes large volumes of IoT device data. They've noticed that the AWS Glue jobs are failing sporadically and the transformation performance has slowed, which is affecting timely data availability for analytics. Upon preliminary investigation, they found that data shuffling is occurring frequently and DPUs are under high load. The team needs to diagnose and rectify these issues to stabilize the pipeline's performance.

      Which of the following steps should the team take to effectively troubleshoot and enhance the ETL process? (Select THREE)


      Answer: A,D,F
  • Question 3
    • A company stores sensitive documents in an Amazon S3 bucket. They need to ensure that these documents can only be accessed by requests originating from a specific range of IP addresses within their corporate network. The company wants to enforce this policy at the bucket level.

      Which approach should the company use to restrict access to the S3 bucket based on the originating IP address?


      Answer: A
  • Question 4
    • A digital media company processes large volumes of image and video files daily. These files are stored in an Amazon S3 bucket. The company needs to analyze metadata extracted from these files (such as file size, type, creation date) and store this information for quick retrieval and analysis. The solution should automatically handle new files as they are uploaded and be scalable to handle increasing data volumes.

      Which AWS service should the company implement to extract, store, and manage the metadata efficiently?


      Answer: B
  • Question 5
    • A Data Engineering Team is using AWS CloudFormation to automate the deployment of their data processing infrastructure, which includes an Amazon EMR cluster for big data processing. They need to ensure that the EMR cluster configuration can be dynamically updated based on different environments (development, staging, production) without creating separate templates for each environment.

      Which specific CloudFormation feature should they use to meet this requirement most effectively?


      Answer: B
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