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: 513
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Updated On: Jan 20, 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 company receives test results from testing facilities that are located around the world. The company storesthe test results in millions of 1 KB JSON files in an Amazon S3 bucket. A data engineer needs to process thefiles, convert them into Apache Parquet format, and load them into Amazon Redshift tables. The dataengineer uses AWS Glue to process the files, AWS Step Functions to orchestrate the processes, and AmazonEventBridge to schedule jobs.The company recently added more testing facilities. The time required to process files is increasing. The dataengineer must reduce the data processing time.Which solution will MOST reduce the data processing time?
Answer: B
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A company receives test results from testing facilities that are located around the world. The company storesthe test results in millions of 1 KB JSON files in an Amazon S3 bucket. A data engineer needs to process thefiles, convert them into Apache Parquet format, and load them into Amazon Redshift tables. The dataengineer uses AWS Glue to process the files, AWS Step Functions to orchestrate the processes, and AmazonEventBridge to schedule jobs.The company recently added more testing facilities. The time required to process files is increasing. The dataengineer must reduce the data processing time.Which solution will MOST reduce the data processing time?
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Question 2
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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 3
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A Cloud Data Engineering Team is working on optimizing the query performance of an Amazon Redshift cluster, serving as the primary data warehouse for their organization. The warehouse contains a large-scale dataset, including extensive historical sales data.
The team has identified that the query performance issues are mainly due to inefficient data scanning and retrieval processes, especially in tables with complex query patterns. They need a solution that specifically optimizes the way data is stored and accessed in these tables to reduce execution times for complex queries.
Which of the following techniques should they implement to improve the query performance on these large tables?
Answer: D
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A Cloud Data Engineering Team is working on optimizing the query performance of an Amazon Redshift cluster, serving as the primary data warehouse for their organization. The warehouse contains a large-scale dataset, including extensive historical sales data.
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Question 4
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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 5
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A company has a production AWS account that runs company workloads. The company's security team
created a security AWS account to store and analyze security logs from the production AWS account. The
security logs in the production AWS account are stored in Amazon CloudWatch Logs.
The company needs to use Amazon Kinesis Data Streams to deliver the security logs to the security AWS
account.
Which solution will meet these requirements?
Answer: D
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A company has a production AWS account that runs company workloads. The company's security team