Free Amazon Data-Engineer-Associate Exam Questions
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Amazon Data-Engineer-Associate Exam Questions
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Provided By: Amazon
- Exam: AWS Certified Data Engineer Associate (DEA-C01)
- Certification: AWS Certified Associate
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Total Questions: 485
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Updated On: Nov 14, 2024
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Rated: 4.9 |
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Online Users: 970
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Question 1
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A company uses Amazon S3 as a data lake. The company sets up a data warehouse by using a multi-nodeAmazon Redshift cluster. The company organizes the data files in the data lake based on the data source ofeach data file.The company loads all the data files into one table in the Redshift cluster by using a separate COPY commandfor each data file location. This approach takes a long time to load all the data files into the table. Thecompany must increase the speed of the data ingestion. The company does not want to increase the cost of theprocess.Which solution will meet these requirements?
Answer: D
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A company uses Amazon S3 as a data lake. The company sets up a data warehouse by using a multi-nodeAmazon Redshift cluster. The company organizes the data files in the data lake based on the data source ofeach data file.The company loads all the data files into one table in the Redshift cluster by using a separate COPY commandfor each data file location. This approach takes a long time to load all the data files into the table. Thecompany must increase the speed of the data ingestion. The company does not want to increase the cost of theprocess.Which solution will meet these requirements?
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Question 2
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A company uses an Amazon S3 bucket to store data in both JSON and .csv formats. They also operate databases on Amazon RDS for Microsoft SQL Server, have Amazon DynamoDB tables in provisioned capacity mode, and run queries on an Amazon Redshift cluster. They need a straightforward solution that allows their data scientists to perform SQL-like queries across all these data sources.
What is the simplest solution for enabling these queries with the least operational overhead?
Answer: A
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A company uses an Amazon S3 bucket to store data in both JSON and .csv formats. They also operate databases on Amazon RDS for Microsoft SQL Server, have Amazon DynamoDB tables in provisioned capacity mode, and run queries on an Amazon Redshift cluster. They need a straightforward solution that allows their data scientists to perform SQL-like queries across all these data sources.
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Question 3
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A company uses Amazon S3 as a data lake. The company sets up a data warehouse by using a multi-nodeAmazon Redshift cluster. The company organizes the data files in the data lake based on the data source ofeach data file.The company loads all the data files into one table in the Redshift cluster by using a separate COPY commandfor each data file location. This approach takes a long time to load all the data files into the table. Thecompany must increase the speed of the data ingestion. The company does not want to increase the cost of theprocess.Which solution will meet these requirements?
Answer: D
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A company uses Amazon S3 as a data lake. The company sets up a data warehouse by using a multi-nodeAmazon Redshift cluster. The company organizes the data files in the data lake based on the data source ofeach data file.The company loads all the data files into one table in the Redshift cluster by using a separate COPY commandfor each data file location. This approach takes a long time to load all the data files into the table. Thecompany must increase the speed of the data ingestion. The company does not want to increase the cost of theprocess.Which solution will meet these requirements?
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Question 4
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A company needs to load customer data that comes from a third party into an Amazon Redshift datawarehouse. The company stores order data and product data in the same data warehouse. The company wantsto use the combined dataset to identify potential new customers.A data engineer notices that one of the fields in the source data includes values that are in JSON format.How should the data engineer load the JSON data into the data warehouse with the LEAST effort?
Answer: A
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A company needs to load customer data that comes from a third party into an Amazon Redshift datawarehouse. The company stores order data and product data in the same data warehouse. The company wantsto use the combined dataset to identify potential new customers.A data engineer notices that one of the fields in the source data includes values that are in JSON format.How should the data engineer load the JSON data into the data warehouse with the LEAST effort?
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Question 5
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A data engineer needs to build an enterprise data catalog based on the company's Amazon S3 buckets andAmazon RDS databases. The data catalog must include storage format metadata for the data in the catalog.Which solution will meet these requirements with the LEAST effort?
Answer: B
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A data engineer needs to build an enterprise data catalog based on the company's Amazon S3 buckets andAmazon RDS databases. The data catalog must include storage format metadata for the data in the catalog.Which solution will meet these requirements with the LEAST effort?