DP-700 Practice Online

Question 1

Which feature of Azure Data Factory helps to monitor and manage long-running data pipelines?

A : Pipeline Monitoring

B : Error Handling

C : Azure Monitor

D : Data Flow Debugging

Answer: A

Question 2

Which of the following is a key benefit of using Azure Machine Learning in Microsoft Fabric?

A : Integrated data storage and processing

B : Automated machine learning and model management

C : Data orchestration and workflow automation

D : Data visualization and reporting

Answer: B

Question 3

Which of the following best describes an effective data retention policy?

A : A policy that automatically deletes data after every transaction

B : A policy that defines how long data should be kept based on regulatory and business requirements

C : A policy that only applies to non-sensitive data

D : A policy that allows unlimited data storage without deletion

Answer: A

Question 4

What is a typical use case for PySpark in Microsoft Fabric data transformation?

A : Running SQL queries for data analysis

B : Automatically cleaning data without user intervention

C : Transforming large-scale datasets that exceed the memory of a single machine

D : Analyzing structured data only

Answer: C

Question 5

Which of the following best describes an ELT process in Microsoft Fabric?

A : Extract, Transform, Load data in parallel

B : Extract, Load, and Transform data in sequential steps with dependencies

C : Extract, Load, Transform data with streaming capabilities

D : Extract, Load, Transform data in real-time

Answer: B

Name:	Implementing Data Engineering Solutions Using Microsoft Fabric
Exam Code:	DP-700
Certification:	Microsoft Azure
Vendor:	Microsoft
Total Questions:	405
Last Updated:	Oct 24, 2026