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: Jul 23, 2026
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Rated: 4.9 |
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Online Users: 1164
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Question 1
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In an effort to enhance data ingestion and transformation pipelines, a Data Engineer is considering the use of Amazon DynamoDB Streams.
When incorporating DynamoDB Streams into a pipeline, which of the following is a key consideration that should be taken into account to maintain effective data processing?
Answer: A
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In an effort to enhance data ingestion and transformation pipelines, a Data Engineer is considering the use of Amazon DynamoDB Streams.
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Question 2
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A company is using Amazon Redshift for their business analytics and reporting purposes. They frequently need to run analytical queries on their historical data stored in a PostgreSQL database hosted on Amazon RDS. The company wants to analyze this historical data in conjunction with their current data warehouse data without moving or duplicating the data.
Which Redshift feature should the company use to meet this requirement?
Answer: A
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A company is using Amazon Redshift for their business analytics and reporting purposes. They frequently need to run analytical queries on their historical data stored in a PostgreSQL database hosted on Amazon RDS. The company wants to analyze this historical data in conjunction with their current data warehouse data without moving or duplicating the data.
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Question 3
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A Data Engineering team is working on setting up a secure and well-governed data lake using AWS Lake Formation. They need to design a schema that enables different groups within the organization to have varying levels of access to specific datasets. The datasets are primarily used for diverse analytics and machine learning tasks and contain sensitive information that requires fine-grained access control.
Which approach should the team take to meet these security and governance requirements while designing the schema in Lake Formation?
Answer: A
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A Data Engineering team is working on setting up a secure and well-governed data lake using AWS Lake Formation. They need to design a schema that enables different groups within the organization to have varying levels of access to specific datasets. The datasets are primarily used for diverse analytics and machine learning tasks and contain sensitive information that requires fine-grained access control.
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Question 4
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A Cloud Data Engineering Consultant is tasked with setting up a centralized logging solution for multiple AWS Lambda functions used by a client's serverless application. The application has critical real-time processing components, and the engineering consultant must ensure that logging is set up to capture and respond to error conditions rapidly. The logs must be analyzed for specific error patterns, and notifications must be sent out when these patterns are detected.
Which of the following steps should the Cloud Data Engineering Consultant take to establish a robust logging and notification system using Amazon CloudWatch Logs? (Select TWO)
Answer: A,C
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A Cloud Data Engineering Consultant is tasked with setting up a centralized logging solution for multiple AWS Lambda functions used by a client's serverless application. The application has critical real-time processing components, and the engineering consultant must ensure that logging is set up to capture and respond to error conditions rapidly. The logs must be analyzed for specific error patterns, and notifications must be sent out when these patterns are detected.
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Question 5
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A Cloud Data Engineer on your team is tasked with creating a new feature for a data processing application hosted on AWS. The feature development will involve multiple code changes and is expected to take a few weeks.
To ensure their changes do not affect the stable version of the application during development, which Git command should they use initially to safely begin working on the new feature in their AWS CodeCommit repository?
Answer: D
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A Cloud Data Engineer on your team is tasked with creating a new feature for a data processing application hosted on AWS. The feature development will involve multiple code changes and is expected to take a few weeks.