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Professional Development

9 Qs

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Fabric

Fabric

Assessment

Quiz

Information Technology (IT)

Professional Development

Medium

Created by

Eniola Adekoya

Used 1+ times

FREE Resource

9 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary purpose of an Data Factory pipeline?

Storing large datasets

Monitoring Azure services

Automating and orchestrating data workflows

Creating virtual networks

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following components is used to define actions in a Data Factory pipeline?

Dataset

Linked Service

Activity

Trigger

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In Data Factory, which component is required to connect to an external data source?

Pipeline

Dataset

Linked Service

Integration Runtime

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What type of trigger is used to execute a pipeline at a specified time interval?

Event-based trigger

Manual trigger

Schedule trigger

Custom trigger

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which integration runtime should you use to connect to on-premises data sources securely?

Azure Integration Runtime

Self-hosted Integration Runtime

SQL Server Integration Runtime

Data Flow Integration Runtime

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In a pipeline, how can you ensure an activity only executes if the previous activity succeeded?

By setting an if condition on the activity

Using a Success dependency on the previous activity

Adding a Retry policy on the activity

Creating a Failure condition

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following activities is used to move data from one source to another in Data Factory?

Lookup

Copy data

Web activity

Execute pipeline

8.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In a Data Factory pipeline, which activity would you use to run another pipeline?

Run pipeline activity

Execute pipeline activity

Call pipeline activity

Pipeline loop activity

9.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of the Retry setting in a Data Factory activity?

To specify how many times an activity should run if it succeeds

To allow the activity to be skipped in case of failure

To specify the number of attempts the activity should make in case of failure

To control the sequence of activities in a pipeline