DP-700 Dumps 2026- Save Your Career

The DP-700: Implementing Data Engineering Solutions Using Microsoft Fabric exam leads to the Microsoft Certified: Fabric Data Engineer Associate certification. Microsoft currently lists the exam as covering three main areas: implementing and managing an analytics solution, ingesting and transforming data, and monitoring and optimizing an analytics solution. Braindump2go has assembled to take you through 174 Q&As to your DP-700 Exam preparation: https://www.braindump2go.com/dp-700.html

QUESTION

You need to create a simple ETL pipeline that extracts data from a SQL Server database, performs basic data cleaning, and loads the data into a data warehouse.

Which of the following options is the most efficient and cost-effective choice for this scenario ?

A. Use a dataflow with T-SQL scripts for data extraction and transformation.

B. Use a series of T-SQL scripts to perform the ETL process.

C. Use a dataflow with a Python notebook for data extraction and transformation.

D. Use a combination of dataflows and T-SQL scripts, with notebooks for exploratory analysis.

Answer: A

QUESTION

Your organization wants to classify data based on its sensitivity and regulatory requirements.

Which of the following methods would be most appropriate for implementing data classification within Microsoft Fabric ?

A. Use Azure Information Protection (AIP) labels to classify data at the file or folder level.

B. Create custom tags in Azure Data Factory to label data based on its sensitivity.

C. Configure row-level security (RLS) to restrict data visibility based on sensitivity levels.

D. Implement data masking to obfuscate sensitive data.

Answer: A

QUESTION

You're working with a Microsoft Fabric dataset containing sensitive customer information. You need to ensure that different users can only see their data.

Which of the following methods can be used to implement row-level security (RLS) for the dataset ?

A. Create custom workspace roles with row-level permissions.

B. Apply data sensitivity labels to individual rows.

C. Use Azure Active Directory (Azure AD) dynamic groups to control access.

D. Configure RLS rules based on user attributes.

Answer: D

QUESTION

You're tasked with building a real-time analytics pipeline for a high-volume, low-latency application. The data source is a Kafka topic producing millions of events per second.

Which streaming engine would be the most suitable choice for this scenario ?

A. Azure Stream Analytics

B. Azure Synapse Analytics

C. Apache Spark Streaming

D. Azure Databricks

Answer: A

QUESTION

You have a Fabric workspace that contains an eventstream named EventStream1. EventStream1 outputs events to a table in a lakehouse.

You need to remove files that are older than seven days and are no longer in use.

Which command should you run?

A. VACUUM

B. COMPUTE

C. OPTIMIZE

D. CLONE

Answer: A

QUESTION

You have a Fabric warehouse named DW1 that loads data by using a data pipeline named Pipeline1. Pipeline1 uses a Copy data activity with a dynamic SQL source. Pipeline1 is scheduled to run every 15 minutes.

You discover that Pipeline1 keeps failing.

You need to identify which SQL query was executed when the pipeline failed.

What should you do?

A. From Monitoring hub, select the latest failed run of Pipeline1, and then view the output JSON.

B. From Monitoring hub, select the latest failed run of Pipeline1, and then view the input JSON.

C. From Real-time hub, select Fabric events, and then review the details of Microsoft.Fabric.ItemReadFailed.

D. From Real-time hub, select Fabric events, and then review the details of Microsoft.Fabric.ItemUpdateFailed.

Answer: B

QUESTION

You have a Fabric notebook named Notebook1 that has been executing successfully for the last week.

During the last run, Notebook1executed nine jobs.

You need to view the jobs in a timeline chart.

What should you use?

A. Real-Time hub

B. Monitoring hub

C. the job history from the application run

D. Spark History Server

E. the run series from the details of the application run

Answer: E