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: 583
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Updated On: Sep 25, 2026
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Rated: 4.9 |
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Online Users: 1166
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Question 1
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A mobile application development company is using Amazon DynamoDB for its user data storage. The company requires a mechanism to track and respond to changes in the user data in real-time. They need a solution that captures modifications to DynamoDB items and triggers a process to handle these changes as they occur.
Which AWS service should the company implement to meet this requirement effectively?
Answer: B
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A mobile application development company is using Amazon DynamoDB for its user data storage. The company requires a mechanism to track and respond to changes in the user data in real-time. They need a solution that captures modifications to DynamoDB items and triggers a process to handle these changes as they occur.
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Question 2
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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)
Answer: C,D
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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.
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Question 3
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A company is storing sensitive documents in an Amazon S3 bucket and requires that only certain users are allowed to download and decrypt these documents. They want to ensure that the security controls in place enforce this policy strictly, even if other users have S3 bucket access.
Which of the following solutions ensures that only authorized users can download and decrypt the sensitive documents?
Answer: D
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A company is storing sensitive documents in an Amazon S3 bucket and requires that only certain users are allowed to download and decrypt these documents. They want to ensure that the security controls in place enforce this policy strictly, even if other users have S3 bucket access.
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Question 4
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A Data Engineering Team is working on a project where they need to run SQL queries on their Amazon Redshift cluster from various applications and microservices.
These applications are diverse, running on different platforms and languages, and the team requires a simple, scalable, and secure way to execute these queries without managing database connections. They also need the ability to retrieve query results asynchronously.
Which Amazon Redshift feature should the team use to meet these requirements most effectively?
Answer: D
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A Data Engineering Team is working on a project where they need to run SQL queries on their Amazon Redshift cluster from various applications and microservices.
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Question 5
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A financial analytics company stores large CSV files containing transaction data in an Amazon S3 bucket. They need to implement a solution that allows their data engineers to run SQL queries directly on these CSV files stored in S3, without the need for additional data transformation or loading into a database.
Which AWS service should the company use to query CSV files directly in the S3 bucket?
Answer: C
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A financial analytics company stores large CSV files containing transaction data in an Amazon S3 bucket. They need to implement a solution that allows their data engineers to run SQL queries directly on these CSV files stored in S3, without the need for additional data transformation or loading into a database.