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Microsoft DP-700 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Implementing Data Engineering Solutions Using Microsoft Fabric
Exam Number:DP-700
Certificate Validity Period:1 year
Exam Duration:100 minutes
Available Languages:Chinese (Simplified), German, French, English, Spanish, Japanese, Korean, Portuguese (Brazil)
Exam Format:Multiple select, Scenario-based, Case studies, Multiple choice, Interactive items
Exam Price:$165 USD
Passing Score:700 (scaled score 100–1000)
Related Certifications:Microsoft Certified: Azure Data Engineer Associate
Microsoft Certified: Power BI Data Analyst Associate
Real Exam Qty:50–60
Recommended Training:Microsoft Fabric Documentation
Microsoft Learn: Implementing Data Engineering Solutions Using Microsoft Fabric
Exam Registration:Pearson VUE Registration
Microsoft Official Exam Registration
Sample Questions:Microsoft DP-700 Sample Questions
Exam Way:Online proctored or onsite testing center
Pre Condition:No mandatory prerequisites; recommended experience with data integration, transformation, SQL, PySpark, KQL, and Microsoft Fabric
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/dp-700

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Microsoft DP-700 시험요강:

주제소개
주제 1
  • Implement and manage an analytics solution: This section of the exam measures the skills of Microsoft Data Analysts regarding configuring various workspace settings in Microsoft Fabric. It focuses on setting up Microsoft Fabric workspaces, including Spark and domain workspace configurations, as well as implementing lifecycle management and version control. One skill to be measured is creating deployment pipelines for analytics solutions.
주제 2
  • Monitor and optimize an analytics solution: This section of the exam measures the skills of Data Analysts in monitoring various components of analytics solutions in Microsoft Fabric. It focuses on tracking data ingestion, transformation processes, and semantic model refreshes while configuring alerts for error resolution. One skill to be measured is identifying performance bottlenecks in analytics workflows.
주제 3
  • Ingest and transform data: This section of the exam measures the skills of Data Engineers that cover designing and implementing data loading patterns. It emphasizes preparing data for loading into dimensional models, handling batch and streaming data ingestion, and transforming data using various methods. A skill to be measured is applying appropriate transformation techniques to ensure data quality.

최신 Microsoft Certified: Fabric Data Engineer Associate DP-700 무료샘플문제 (Q113-Q118):

질문 # 113
You have a Fabric workspace named Workspace1 that contains a lakehouse named Lakehouse1. You perform the following actions:
* Connect Workspace1 to a Git repository and select the main branch.
* Create a new branch named feature! and modify Lakehouse1.
* Merge the changes from feature1 into the main branch.
You need to ensure that the changes are available in Workspace1. The solution must minimize changes to Workspace1 What should you do?

정답:D


질문 # 114
You are building a data orchestration pattern by using a Fabric data pipeline named Dynamic Data Copy as shown in the exhibit. (Click the Exhibit tab.)

Dynamic Data Copy does NOT use parametrization.
You need to configure the ForEach activity to receive the list of tables to be copied.
How should you complete the pipeline expression? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

정답:

설명:

Explanation:


질문 # 115
You have a Fabric workspace named WS1 that is connected to the main branch of an Azure DevOps Git repository. WS1 contains a lakehouse a notebook and a pipeline.
Two data engineer must update the notebook and people concurrently for separate features.
You need to configure version control to support isolated feature development and controlled integration into the main branch.
The solution must meet the following requirements:
Prevent one engineer's reviewed workspace changes from affecting the other engineer workspace.
Support a review before changes are integrated into the main branch.
Track changes to the Fabric items in Git.
How should you configure the development workflow? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

정답:

설명:

Explanation:


질문 # 116
HOTSPOT
You have a Fabric workspace named Workspace1_DEV that contains the following items:
10 reports
Four notebooks
Three lakehouses
Two data pipelines
Two Dataflow Gen1 dataflows
Three Dataflow Gen2 dataflows
Five semantic models that each has a scheduled refresh policy
You create a deployment pipeline named Pipeline1 to move items from Workspace1_DEV to a new workspace named Workspace1_TEST.
You deploy all the items from Workspace1_DEV to Workspace1_TEST.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

정답:

설명:

Explanation:


질문 # 117
You have a Fabric workspace named Workspace1 that contains an Apache Spark job definition named Job1.
You have an Azure SQL database named Source1 that has public internet access disabled.
You need to ensure that Job1 can access the data in Source1.
What should you create?

정답:D

설명:
To allow Job1 in Workspace1 to access an Azure SQL database (Source1) with public internet access disabled, you need to create a managed private endpoint. A managed private endpoint is a secure, private connection that enables services like Fabric (or other Azure services) to access resources such as databases, storage accounts, or other services within a virtual network (VNet) without requiring public internet access. This approach maintains the security and integrity of your data while enabling access to the Azure SQL database.


질문 # 118
......

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