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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:
Jul 5, 2025
Exam Status:
Stable
Amazon Web Services DAS-C01

DAS-C01: AWS Certified Data Analytics Exam 2025 Study Guide Pdf and Test Engine

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AWS Certified Data Analytics - Specialty Questions and Answers

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Question 1

An analytics software as a service (SaaS) provider wants to offer its customers business intelligence

The provider wants to give customers two user role options

• Read-only users for individuals who only need to view dashboards

• Power users for individuals who are allowed to create and share new dashboards with other users

Which QuickSight feature allows the provider to meet these requirements'?

Options:

A.

Embedded dashboards

B.

Table calculations

C.

Isolated namespaces

D.

SPICE

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Question 2

A company analyzes its data in an Amazon Redshift data warehouse, which currently has a cluster of three dense storage nodes. Due to a recent business acquisition, the company needs to load an additional 4 TB of user data into Amazon Redshift. The engineering team will combine all the user data and apply complex calculations that require I/O intensive resources. The company needs to adjust the cluster's capacity to support the change in analytical and storage requirements.

Which solution meets these requirements?

Options:

A.

Resize the cluster using elastic resize with dense compute nodes.

B.

Resize the cluster using classic resize with dense compute nodes.

C.

Resize the cluster using elastic resize with dense storage nodes.

D.

Resize the cluster using classic resize with dense storage nodes.

Question 3

A company wants to use automatic machine learning (ML) to create and visualize forecasts of complex scenarios and trends.

Which solution will meet these requirements with the LEAST management overhead?

Options:

A.

Use an AWS Glue ML job to transform the data and create forecasts. Use Amazon QuickSight to visualize the data.

B.

Use Amazon QuickSight to visualize the data. Use ML-powered forecasting in QuickSight to create forecasts.

C.

Use a prebuilt ML AMI from the AWS Marketplace to create forecasts. Use Amazon QuickSight to visualize the data.

D.

Use Amazon SageMaker inference pipelines to create and update forecasts. Use Amazon QuickSight to visualize the combined data.

Get Free DAS-C01 Questions and Answers