Free Amazon AWS-DEA-C01 Exam Questions
Absolute Free AWS-DEA-C01 Exam Practice for Comprehensive Preparation
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Amazon AWS-DEA-C01 Exam Questions
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Provided By: Amazon
- Exam: AWS Certified Data Engineer - Associate
- Certification: AWS Certified Data Engineer
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Total Questions: 582
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Updated On: Dec 05, 2025
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Rated: 4.9 |
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Online Users: 1164
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Question 1
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You are a Data Engineer tasked with architecting a solution for an online retail application on AWS. The application must efficiently manage user shopping cart data (stateful transactions) and handle rapid, high-volume event logging for website interactions, like clicks and views (stateless transactions).
Considering the need for high availability, scalability, and near real-time processing, which of the following AWS service combinations is the most appropriate for handling these specific transaction types?
Answer: A
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You are a Data Engineer tasked with architecting a solution for an online retail application on AWS. The application must efficiently manage user shopping cart data (stateful transactions) and handle rapid, high-volume event logging for website interactions, like clicks and views (stateless transactions).
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Question 2
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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
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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.
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Question 3
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A healthcare organization is looking to store highly confidential patient records in an Amazon S3 bucket. The storage solution must comply with regulatory standards that require not only encryption of data at rest but also stringent control and auditing over who can access the encryption keys. Since their IT team lacks the resources to manage encryption processes manually, they need an encryption method that is both secure and manageable within their AWS environment.
What encryption method should they use for their S3 bucket to ensure compliance with these standards?
Answer: A
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A healthcare organization is looking to store highly confidential patient records in an Amazon S3 bucket. The storage solution must comply with regulatory standards that require not only encryption of data at rest but also stringent control and auditing over who can access the encryption keys. Since their IT team lacks the resources to manage encryption processes manually, they need an encryption method that is both secure and manageable within their AWS environment.
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Question 4
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A business specializing in big data analytics is transitioning its data processing from an on-site data center to AWS to cut down on management complexity. They're interested in adopting a serverless architecture wherever possible.
Their current setup involves heavy use of Apache Pig, Apache Oozie, Apache Spark, Apache HBase, and Apache Flink, handling petabytes of data with rapid processing times. The business requires that their new cloud-based solution offer comparable, if not superior, processing performance.
Which AWS service should they choose to achieve serverless ETL at scale?
Answer: D
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A business specializing in big data analytics is transitioning its data processing from an on-site data center to AWS to cut down on management complexity. They're interested in adopting a serverless architecture wherever possible.
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Question 5
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A Data Engineering team at a healthcare analytics company needs to manage complex data pipelines processing sensitive patient data. The pipelines integrate data from hospital records, insurance claims, and clinical trials. As regulatory requirements strictly enforce the accuracy and traceability of data, the team is required to implement a solution that ensures the data's origin, transformations, and usage are transparent and auditable.
Which approach would best ensure the accuracy and trustworthiness of data by enabling comprehensive data lineage?
Answer: A
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A Data Engineering team at a healthcare analytics company needs to manage complex data pipelines processing sensitive patient data. The pipelines integrate data from hospital records, insurance claims, and clinical trials. As regulatory requirements strictly enforce the accuracy and traceability of data, the team is required to implement a solution that ensures the data's origin, transformations, and usage are transparent and auditable.