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DP-900
Microsoft.DP-900.v2021-09-30.q141 Practice Test (Page 5)

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DP-900 Exam Question 16

At which two levels can you set the throughput for an Azure Cosmos DB account? Each correct answer presents a complete solution. (Choose two.) NOTE: Each correct selection is worth one point.

A.database

B.item

C.container

D.partition

Correct Answer: A,C

Section: Describe how to work with non-relational data on Azure
Explanation
Explanation/Reference:
https://docs.microsoft.com/en-us/azure/cosmos-db/set-throughput

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DP-900 Exam Question 17

To complete the sentence, select the appropriate option in the answer area.

Correct Answer:

Reference:
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/massively-parallel-processing-mpp-architecture

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DP-900 Exam Question 18

Your company is designing a database that will contain session data for a website. The data will include notifications, personalization attributes, and products that are added to a shopping cart.
Which type of data store will provide the lowest latency to retrieve the data?

A.key/value

B.graph

C.columnar

D.document

Correct Answer: C

Section: Describe how to work with non-relational data on Azure
Explanation
Explanation/Reference:
https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/analytical-data-stores

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DP-900 Exam Question 19

To complete the sentence, select the appropriate option in the answer area.

Correct Answer:

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DP-900 Exam Question 20

What are two characteristics of real-time data processing? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

A.Data is processed periodically

B.Low latency is expected

C.High latency is acceptable

D.Data is processed as it is created

Correct Answer: B,D

Section: Describe core data concepts
Explanation:
Real time processing deals with streams of data that are captured in real-time and processed with minimal latency to generate real-time (or near-real-time) reports or automated responses.
Reference:
https://docs.microsoft.com/en-us/azure/architecture/data-guide/big-data/real-time-processing

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