Question 1

Which of the following methods can be used to trigger a data pipeline based on an event in Azure Data Factory?

Options :

A : Using an HTTP request

B : Using an event trigger

C : Using a manual trigger

D : Using a schedule trigger

Answer: A,B

Question 2

What is the main advantage of using batch processing for data ingestion in Microsoft Fabric?

Options :

A : Lower cost for processing large datasets

B : Instant updates for data processing

C : More accurate results for real-time applications

D : Faster real-time processing

Answer: A

Question 3

What is the benefit of partitioning data in Microsoft Fabric?

Options :

A : Better visualization capabilities

B : Improved query performance

C : Enhanced security

D : Real-time data processing

Answer: B

Question 4

Which of the following actions can help optimize query performance in large datasets?

Options :

A : Using data partitioning strategies

B : Using a single, complex query without filters

C : Storing all data in a single, uncompressed file

D : Avoiding the use of indexes on large tables

Answer: A

Question 5

Which service in Microsoft Fabric is primarily used for orchestration and automation of data workflows?

Options :

A : Azure Data Factory

B : Azure Synapse Analytics

C : Power BI

D : Azure Blob Storage

Answer: A

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