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DP-700 Dumps - Implementing Data Engineering Solutions Using Microsoft Fabric Practice Exam Questions

Microsoft DP-700 - Implementing Data Engineering Solutions Using Microsoft Fabric Braindumps

Microsoft DP-700 - Microsoft Certified: Fabric Data Engineer Associate Practice Exam

  • Certification Provider:Microsoft
  • Exam Code:DP-700
  • Exam Name:Implementing Data Engineering Solutions Using Microsoft Fabric
  • Certification Name:Microsoft Certified: Fabric Data Engineer Associate
  • Total Questions:109 Questions and Answers With Detailed Explanations
  • Updated on:Based on the current DP-700 exam blueprint. Updated on Nov 27, 2025
  • Product Format: PDF (Portable) & Test Engine (Interactive) .
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Microsoft DP-700 This Week Results

DP-700 Question and Answers

Question # 1

HOTSPOT

You need to troubleshoot the ad-hoc query issue.

How should you complete the statement? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

Question # 1

Options:

Discussion 0
Question # 2

You need to resolve the sales data issue. The solution must minimize the amount of data transferred.

What should you do?

Options:

A.  

Spilt the dataflow into two dataflows.

B.  

Configure scheduled refresh for the dataflow.

C.  

Configure incremental refresh for the dataflow. Set Store rows from the past to 1 Month.

D.  

Configure incremental refresh for the dataflow. Set Refresh rows from the past to 1 Year.

E.  

Configure incremental refresh for the dataflow. Set Refresh rows from the past to 1 Month.

Discussion 0
Question # 3

You need to implement the solution for the book reviews.

Which should you do?

Options:

A.  

Create a Dataflow Gen2 dataflow.

B.  

Create a shortcut.

C.  

Enable external data sharing.

D.  

Create a data pipeline.

Discussion 0

PDF vs Software Version

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Read the explanation for every answer right or wrong. Understand the why behind each concept to solidify your Implementing Data Engineering Solutions Using Microsoft Fabric knowledge, not just memorize a answer.

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DP-700 FAQs

Data engineering focuses on designing, building, and managing data pipelines to enable efficient data analysis. It is essential for transforming raw data into meaningful insights for businesses.

Data engineering deals with the infrastructure and processing of data, while data science focuses on analyzing and extracting insights from data using statistical and machine learning models.

Data ingestion, data storage, data transformation, data validation, orchestration, and data visualization.

Structured data is organized in a tabular format (e.g., databases), semi-structured data has some organization but lacks a fixed schema (e.g., JSON, XML), and unstructured data has no predefined structure (e.g., images, videos, text).

ETL transforms data before loading it into storage, while ELT loads raw data first and then applies transformations, often using cloud-based processing.

A data lake stores raw and processed data at scale, supporting analytics, machine learning, and real-time processing while maintaining cost efficiency.

Cloud solutions offer scalability, flexibility, and cost-effectiveness, while on-premises solutions provide greater control and security.

It provides seamless integration with various data sources through connectors, APIs, and streaming services.

Power BI acts as the visualization and reporting layer within Microsoft Fabric, making data insights accessible to business users.

It natively integrates with services like Azure Data Lake, Azure Machine Learning, and Azure AI for a cohesive data strategy.

Microsoft Fabric supports OneLake storage, which simplifies data management across different workloads and domains.

It follows Microsoft’s compliance standards, providing role-based access control (RBAC), encryption, and auditing features.

Our Satisfied Customers

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Tariq
1 month ago

The DP-700 exam prep was exactly what I needed to build solid data engineering skills. Clear and practical guidance throughout.

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