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Amazon Web Services DAS-C01 Exam With Confidence Using Practice Dumps

Exam Code:
DAS-C01
Exam Name:
AWS Certified Data Analytics - Specialty
Certification:
AWS Certified Data Analytics
Vendor:
Amazon Web Services
Questions:
207
Last Updated:
Dec 12, 2024
Exam Status:
Stable
Amazon Web Services DAS-C01

DAS-C01: AWS Certified Data Analytics Exam 2024 Study Guide Pdf and Test Engine

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AWS Certified Data Analytics - Specialty Questions and Answers

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Question 1

A human resources company maintains a 10-node Amazon Redshift cluster to run analytics queries on the company’s data. The Amazon Redshift cluster contains a product table and a transactions table, and both tables have a product_sku column. The tables are over 100 GB in size. The majority of queries run on both tables.

Which distribution style should the company use for the two tables to achieve optimal query performance?

Options:

A.

An EVEN distribution style for both tables

B.

A KEY distribution style for both tables

C.

An ALL distribution style for the product table and an EVEN distribution style for the transactions table

D.

An EVEN distribution style for the product table and an KEY distribution style for the transactions table

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Question 2

A large financial company is running its ETL process. Part of this process is to move data from Amazon S3 into an Amazon Redshift cluster. The company wants to use the most cost-efficient method to load the dataset into Amazon Redshift.

Which combination of steps would meet these requirements? (Choose two.)

Options:

A.

Use the COPY command with the manifest file to load data into Amazon Redshift.

B.

Use S3DistCp to load files into Amazon Redshift.

C.

Use temporary staging tables during the loading process.

D.

Use the UNLOAD command to upload data into Amazon Redshift.

E.

Use Amazon Redshift Spectrum to query files from Amazon S3.

Question 3

A media company has been performing analytics on log data generated by its applications. There has been a recent increase in the number of concurrent analytics jobs running, and the overall performance of existing jobs is decreasing as the number of new jobs is increasing. The partitioned data is stored in Amazon S3 One Zone-Infrequent Access (S3 One Zone-IA) and the analytic processing is performed on Amazon EMR clusters using the EMR File System (EMRFS) with consistent view enabled. A data analyst has determined that it is taking longer for the EMR task nodes to list objects in Amazon S3.

Which action would MOST likely increase the performance of accessing log data in Amazon S3?

Options:

A.

Use a hash function to create a random string and add that to the beginning of the object prefixes when storing the log data in Amazon S3.

B.

Use a lifecycle policy to change the S3 storage class to S3 Standard for the log data.

C.

Increase the read capacity units (RCUs) for the shared Amazon DynamoDB table.

D.

Redeploy the EMR clusters that are running slowly to a different Availability Zone.

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