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Microsoft DP-600 Dumps Questions Answers

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Implementing Analytics Solutions Using Microsoft Fabric

Last Update Mar 30, 2025
Total Questions : 117 With Comprehensive Analysis

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The DP-600 Microsoft Certified - Fabric Analytics Engineer Associate exam consists of multiple-choice and multiple-response questions. You will have 150 minutes to complete the exam. To pass, you need to score at least 700 out of 1000.
The DP-600 Microsoft Certified - Fabric Analytics Engineer Associate exam covers essential skills for managing analytics solutions in Microsoft Fabric. Key topics include data ingestion and transformation, modeling, storage solutions, security, and real-time analytics. Additionally, it covers machine learning integration, data visualization, and optimization techniques to ensure effective data management and insights.
To get the most out of the DP-600 exam dumps, review each question carefully, attempt the DP-600 practice test questions, and use the study guides to reinforce your understanding. Focus on weak areas and repeatedly practice with DP-600 dumps questions to build confidence.
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Implementing Analytics Solutions Using Microsoft Fabric Questions and Answers

Questions 1

You need to ensure the data loading activities in the AnalyticsPOC workspace are executed in the appropriate sequence. The solution must meet the technical requirements.

What should you do?

Options:

A.

Create a pipeline that has dependencies between activities and schedule the pipeline.

B.

Create and schedule a Spark job definition.

C.

Create a dataflow that has multiple steps and schedule the dataflow.

D.

Create and schedule a Spark notebook.

Questions 2

You need to design a semantic model for the customer satisfaction report.

Which data source authentication method and mode should you use? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

Options:

Questions 3

What should you recommend using to ingest the customer data into the data store in the AnatyticsPOC workspace?

Options:

A.

a stored procedure

B.

a pipeline that contains a KQL activity

C.

a Spark notebook

D.

a dataflow