Free Amazon AWS-DEA-C01 Exam Questions
Absolute Free AWS-DEA-C01 Exam Practice for Comprehensive Preparation
-
Amazon AWS-DEA-C01 Exam Questions
-
Provided By: Amazon
- Exam: AWS Certified Data Engineer - Associate
- Certification: AWS Certified Data Engineer
-
Total Questions: 513
-
Updated On: Apr 05, 2025
-
Rated: 4.9 |
-
Online Users: 1026
-
Question 1
-
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
-
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?
-
Question 2
-
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
-
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?
-
Question 3
-
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
-
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?
-
Question 4
-
A company created an extract, transform, and load (ETL) data pipeline in AWS Glue. A data engineer must
crawl a table that is in Microsoft SQL Server. The data engineer needs to extract, transform, and load the
output of the crawl to an Amazon S3 bucket. The data engineer also must orchestrate the data pipeline.
Which AWS service or feature will meet these requirements MOST cost-effectively?
Answer: B
-
A company created an extract, transform, and load (ETL) data pipeline in AWS Glue. A data engineer must
-
Question 5
-
As a Cloud Data Engineering Consultant, you are assisting a client in setting up a data warehouse using Amazon Redshift. The client's data warehouse stores sensitive financial information and is used by various departments within the organization, each requiring different levels of access. The client emphasizes the need for secure data sharing practices that would allow specific teams to access only the data relevant to their work. They seek your advice on implementing a solution within Amazon Redshift to grant permissions effectively and securely for sharing data across different teams.
To meet the client's need for secure, role-specific data access in their Amazon Redshift data warehouse, which of the following approaches would you recommend?
Answer: C
-
As a Cloud Data Engineering Consultant, you are assisting a client in setting up a data warehouse using Amazon Redshift. The client's data warehouse stores sensitive financial information and is used by various departments within the organization, each requiring different levels of access. The client emphasizes the need for secure data sharing practices that would allow specific teams to access only the data relevant to their work. They seek your advice on implementing a solution within Amazon Redshift to grant permissions effectively and securely for sharing data across different teams.