A company is using Amazon Redshift to build a data warehouse solution. The company is loading hundreds of files into a fact table that is in a Redshift cluster. The company wants the data warehouse solution to achieve the greatest possible throughput. The solution must use cluster resources optimally when the company loads data into the fact table. Which solution will meet these requirements?

QuestionsCategory: DEA-C01A company is using Amazon Redshift to build a data warehouse solution. The company is loading hundreds of files into a fact table that is in a Redshift cluster. The company wants the data warehouse solution to achieve the greatest possible throughput. The solution must use cluster resources optimally when the company loads data into the fact table. Which solution will meet these requirements?
Admin Staff asked 7 months ago
A company is using Amazon Redshift to build a data warehouse solution. The company is loading hundreds of files into a fact table that is in a Redshift cluster.
The company wants the data warehouse solution to achieve the greatest possible throughput. The solution must use cluster resources optimally when the company loads data into the fact table.
Which solution will meet these requirements?

A. Use multiple COPY commands to load the data into the Redshift cluster.

B. Use S3DistCp to load multiple files into Hadoop Distributed File System (HDFS). Use an HDFS connector to ingest the data into the Redshift cluster.

C. Use a number of INSERT statements equal to the number of Redshift cluster nodes. Load the data in parallel into each node.

D. Use a single COPY command to load the data into the Redshift cluster.








 

Suggested Answer: A

Community Answer: D




This question is in DEA-C01 AWS Certified Data Analytics – Specialty Exam
For getting AWS Certified Data Analytics – Specialty Certificate


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