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: Aug 03, 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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As a data engineering consultant, you've been approached by a client who's experiencing difficulties with their Amazon DynamoDB setup. They've noticed that their query performance degrades as their dataset grows, despite having a primary key design that they believed would be optimal. They ask for your advice on how they can maintain consistent, fast query performance as their dataset scales.
Which of the following suggestions would be the most effective for maintaining query performance in DynamoDB at scale?
Answer: C
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As a data engineering consultant, you've been approached by a client who's experiencing difficulties with their Amazon DynamoDB setup. They've noticed that their query performance degrades as their dataset grows, despite having a primary key design that they believed would be optimal. They ask for your advice on how they can maintain consistent, fast query performance as their dataset scales.
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Question 2
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A data engineer is using Amazon Athena for querying customer engagement data stored in Amazon S3. The analyst needs to extract information about customer interactions for the year 2023 from a table called interaction_data. The initial query designed to fetch the total interactions per customer for 2023 is not yielding results for some customers known to have interactions in that year. The query needs adjustment to correctly reflect the entire dataset.
The original query is:
SELECT customer_id, sum(interactions)
FROM interaction_data
WHERE year = 2023
GROUP BY customer_id
How should the data engineer modify the Athena query to ensure it includes all relevant customer data for 2023?
Answer: D
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A data engineer is using Amazon Athena for querying customer engagement data stored in Amazon S3. The analyst needs to extract information about customer interactions for the year 2023 from a table called interaction_data. The initial query designed to fetch the total interactions per customer for 2023 is not yielding results for some customers known to have interactions in that year. The query needs adjustment to correctly reflect the entire dataset.
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Question 3
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A Data Engineering Consultant is tasked with analyzing a large dataset of historical sales data stored in Amazon S3 using Athena. The data consists of multiple compressed CSV files partitioned by year and month. To gain insights from this data, the consultant plans to use Athena notebooks integrated with Apache Spark for more complex data transformations and analysis.
What is the most effective approach to achieve this task?
Answer: D
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A Data Engineering Consultant is tasked with analyzing a large dataset of historical sales data stored in Amazon S3 using Athena. The data consists of multiple compressed CSV files partitioned by year and month. To gain insights from this data, the consultant plans to use Athena notebooks integrated with Apache Spark for more complex data transformations and analysis.
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Question 4
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A data analytics team is using Amazon Redshift to query a product_table that contains a year column with the format YYYY-MM-DD. They are attempting to retrieve all sales data for the year 2023 using the following SQL query:
SELECT product_name, sum(price)
FROM product_table
WHERE year = 2023
GROUP BY product_name
However, the query does not return any results. What could be the reason for this issue?
Answer: C
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A data analytics team is using Amazon Redshift to query a product_table that contains a year column with the format YYYY-MM-DD. They are attempting to retrieve all sales data for the year 2023 using the following SQL query:
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Question 5
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A company hosts its applications on Amazon EC2 instances. The company must use SSL/TLS connections
that encrypt data in transit to communicate securely with AWS infrastructure that is managed by a customer.
A data engineer needs to implement a solution to simplify the generation, distribution, and rotation of digital
certificates. The solution must automatically renew and deploy SSL/TLS certificates.
Which solution will meet these requirements with the LEAST operational overhead?
Answer: B
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A company hosts its applications on Amazon EC2 instances. The company must use SSL/TLS connections