Free Amazon AWS-DEA-C01 Exam Questions
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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: 513
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Updated On: Mar 26, 2025
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Rated: 4.9 |
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Online Users: 1026
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Question 1
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A Data Engineering Team is responsible for managing and monitoring a large-scale data processing application using AWS services. The application periodically processes vast amounts of unstructured data and stores the results in Amazon S3. The team needs to set up a system to closely monitor the data processing jobs and get alerted if any job fails or underperforms.
Which combination of AWS services should the data engineering team use for effective monitoring and alerting?
Answer: B
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A Data Engineering Team is responsible for managing and monitoring a large-scale data processing application using AWS services. The application periodically processes vast amounts of unstructured data and stores the results in Amazon S3. The team needs to set up a system to closely monitor the data processing jobs and get alerted if any job fails or underperforms.
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Question 2
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A financial services company is storing time-series data in a relational database hosted on Amazon RDS. The company wants to improve query performance for reports that are run on a monthly basis, which involve large scans over historical data. The solution should optimize costs and maintain current data integrity constraints.
Which approach should the company take?
Answer: A
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A financial services company is storing time-series data in a relational database hosted on Amazon RDS. The company wants to improve query performance for reports that are run on a monthly basis, which involve large scans over historical data. The solution should optimize costs and maintain current data integrity constraints.
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Question 3
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A company has three subsidiaries. Each subsidiary uses a different data warehousing solution. The firstsubsidiary hosts its data warehouse in Amazon Redshift. The second subsidiary uses Teradata Vantage onAWS. The third subsidiary uses Google BigQuery.The company wants to aggregate all the data into a central Amazon S3 data lake. The company wants to useApache Iceberg as the table format.A data engineer needs to build a new pipeline to connect to all the data sources, run transformations by usingeach source engine, join the data, and write the data to Iceberg.Which solution will meet these requirements with the LEAST operational effort?
Answer: B
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A company has three subsidiaries. Each subsidiary uses a different data warehousing solution. The firstsubsidiary hosts its data warehouse in Amazon Redshift. The second subsidiary uses Teradata Vantage onAWS. The third subsidiary uses Google BigQuery.The company wants to aggregate all the data into a central Amazon S3 data lake. The company wants to useApache Iceberg as the table format.A data engineer needs to build a new pipeline to connect to all the data sources, run transformations by usingeach source engine, join the data, and write the data to Iceberg.Which solution will meet these requirements with the LEAST operational effort?
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Question 4
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A data engineer uses Amazon Redshift to run resource-intensive analytics processes once every month. Every
month, the data engineer creates a new Redshift provisioned cluster. The data engineer deletes the Redshift
provisioned cluster after the analytics processes are complete every month. Before the data engineer deletes
the cluster each month, the data engineer unloads backup data from the cluster to an Amazon S3 bucket.
The data engineer needs a solution to run the monthly analytics processes that does not require the data
engineer to manage the infrastructure manually.
Which solution will meet these requirements with the LEAST operational overhead?
Answer: B
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A data engineer uses Amazon Redshift to run resource-intensive analytics processes once every month. Every
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Question 5
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Your organization has deployed a series of IoT devices across its facilities to monitor environmental conditions. These devices send telemetry data every few seconds. As part of the data pipeline, you have been tasked with architecting a solution that ingests this streaming data, provides the ability to perform real-time analytics, and subsequently batches the data for storage in Amazon Redshift for further analysis. The solution should be scalable, manage large bursts of data effectively, and ensure that analytics can be performed promptly.
As a Cloud Data Engineering Consultant, which combination of AWS services would you employ to meet these requirements? (Select THREE)
Answer: B,C,D
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Your organization has deployed a series of IoT devices across its facilities to monitor environmental conditions. These devices send telemetry data every few seconds. As part of the data pipeline, you have been tasked with architecting a solution that ingests this streaming data, provides the ability to perform real-time analytics, and subsequently batches the data for storage in Amazon Redshift for further analysis. The solution should be scalable, manage large bursts of data effectively, and ensure that analytics can be performed promptly.