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: 513
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Updated On: Apr 30, 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 engineer wants to orchestrate a set of extract, transform, and load (ETL) jobs that run on AWS. TheETL jobs contain tasks that must run Apache Spark jobs on Amazon EMR, make API calls to Salesforce, andload data into Amazon Redshift.The ETL jobs need to handle failures and retries automatically. The data engineer needs to use Python toorchestrate the jobs.Which service will meet these requirements?
Answer: A
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A data engineer wants to orchestrate a set of extract, transform, and load (ETL) jobs that run on AWS. TheETL jobs contain tasks that must run Apache Spark jobs on Amazon EMR, make API calls to Salesforce, andload data into Amazon Redshift.The ETL jobs need to handle failures and retries automatically. The data engineer needs to use Python toorchestrate the jobs.Which service will meet these requirements?
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Question 2
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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 3
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A telecommunications company collects network usage data throughout each day at a rate of several thousanddata points each second. The company runs an application to process the usage data in real time. Thecompany aggregates and stores the data in an Amazon Aurora DB instance.Sudden drops in network usage usually indicate a network outage. The company must be able to identifysudden drops in network usage so the company can take immediate remedial actions.Which solution will meet this requirement with the LEAST latency?
Answer: B
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A telecommunications company collects network usage data throughout each day at a rate of several thousanddata points each second. The company runs an application to process the usage data in real time. Thecompany aggregates and stores the data in an Amazon Aurora DB instance.Sudden drops in network usage usually indicate a network outage. The company must be able to identifysudden drops in network usage so the company can take immediate remedial actions.Which solution will meet this requirement with the LEAST latency?
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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 Cloud Data Engineering Team at a data analytics firm is tasked with enhancing their data schema management. The team is dealing with an extensive collection of datasets stored in Amazon S3, with data arriving in varying formats. The requirement is to automate the adaptation of data schemas to reduce the need for manual updates, thereby streamlining analysts' access to the latest data for their complex queries.
Which steps should the team implement to establish a dynamic and automated schema management system that seamlessly accommodates schema evolution? (Select TWO)
Answer: A,C
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A Cloud Data Engineering Team at a data analytics firm is tasked with enhancing their data schema management. The team is dealing with an extensive collection of datasets stored in Amazon S3, with data arriving in varying formats. The requirement is to automate the adaptation of data schemas to reduce the need for manual updates, thereby streamlining analysts' access to the latest data for their complex queries.