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Microsoft DP-900 - Microsoft Azure Data Fundamentals

Microsoft DP-900 Premium Access     Download Demo    
Page: 8 / 10
Total 332 questions

For each of the following statements, select Yes if the statement is true. Otherwise, select No.

NOTE: Each correct selection is worth one point.

Match the types of data to the appropriate Azure data services.

To answer, drag the appropriate data types from the column on the left to its service on the right. Each data type may be used once, more than once, or not at all.

NOTE: Each correct match is worth one point.

Your company needs to ensure that in Azure virtual machine can connect to Azure SQL databases without exposing the databases to the internet. What should you use?

A.

Azure DNS

B.

Azure Application Gateway

C.

Azure Private link

D.

Azure Traffic Manager

You have a database that stores data in the format shown in the following table.

Of which type of database is this an example?

A.

document

B.

column family

C.

key-value

D.

relational

Select the answer that correctly completes the sentence.

Which Azure Storage service implements the key/value model?

A.

Azure Files

B.

Azure Table

C.

Azure Blob

D.

Azure Queue

Select the answer that correctly completes the sentence.

Select the answer that correctly completes the sentence.

What ate three characteristics of an Online Transaction Processing (OLTP) workload? Each correct answer presents a complete solution NOTE: Each correct selection is worth one point.

A.

normalized data

B.

schema defined in a database

C.

schema defined when reading unstructured data from a database

D.

normalized data

E.

light writes and heavy reads

F.

heavy writes and moderate reads

Which three actions are used when performing diagnostic analytics?

A.

• Identify data anomalies

• Collect anomaly-related data

• Discover relationships and trends that explain anomalies.

B.

• Identify data anomalies

• Predict when anomalies are likely to recur

• Use analytical tools such as decision trees and regression.

C.

• Apply serf-learning loops to draw inferences from anomalies.

• Predict when anomalies are likely to recur

• Use analytical tools such as decision trees and regression.

D.

• Identify data anomalies

• Use machine learning to find patterns in large datasets.

• Discover relationships and trends that explain anomalies.