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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
Related Certifications:	Microsoft Certified: Fabric Analytics Engineer Associate Microsoft Certified: Azure Data Engineer Associate
Passing Score:	700/1000
Available Languages:	English, Simplified Chinese, Japanese, Korean, Spanish, German, Portuguese (Brazil), French
Exam Price:	Varies by region (approx. $165 USD)
Exam Format:	Multiple choice, Multiple response, Case studies, Scenario-based questions
Certificate Validity Period:	1 year (renewable)
Real Exam Qty:	40-60
Exam Duration:	100-120
Recommended Training:	Microsoft Fabric Documentation Microsoft Learn DP-700 Learning Path
Exam Registration:	Microsoft Learn Certification Exam Page Pearson VUE Microsoft Exams
Sample Questions:	Microsoft DP-700 Sample Questions
Exam Way:	Online proctored via Pearson VUE or in-person at authorized testing centers
Pre Condition:	No formal prerequisites, but recommended experience with Azure data services and basic data engineering concepts
Official Syllabus URL:	https://learn.microsoft.com/credentials/certifications/exams/dp-700/

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Microsoft - Valid DP-700 - Training Implementing Data Engineering Solutions Using Microsoft Fabric Kit

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Microsoft DP-700 Exam Syllabus Topics:

Topic	Details
Topic 1	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.
Topic 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.
Topic 3	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.

Microsoft Implementing Data Engineering Solutions Using Microsoft Fabric Sample Questions (Q16-Q21):

NEW QUESTION # 16
You have a Fabric workspace that contains a warehouse named DW1. DW1 is loaded by using a notebook named Notebook1.
You need to identify which version of Delta was used when Notebook1 was executed.
What should you use?

A. Real-Time hub
B. Fabric Monitor
C. the Admin monitoring workspace
D. the Microsoft Fabric Capacity Metrics app
E. OneLake data hub

Answer: B

NEW QUESTION # 17
You have a Fabric workspace that contains a data pipeline named Pipeline! as shown in the exhibit.
(Click the Exhibit tab.) What will occur the next time Pipelinel tuns?

A. Execute procedure1 will run first, and then Copy_kdi will run.
B. Execute procedurel will run and Copy_kdi will be skipped.
C. Both activities will run simultaneously.
D. Copy.kdi will run first, and then Execute procedurel will run.
E. Both activities will be skipped.
F. Copy.kdi will run and Execute procedurel will be skipped.

Answer: E

NEW QUESTION # 18
You have a Fabric workspace that contains a lakehouse named Lakehousel. Lakehousel contains a table named Status_Target that has the following columns:
* Key
* Status
* LastModified
The data source contains a table named Status.Source that has the same columns as Status_Target. Status.
Source is used to populate Status_Target. In a notebook name Notebook!, you load Status_Source to a DataFrame named sourceDF and Status_Target to a DataFrame named targetDF. You need to implement an incremental loading pattern by using Notebook-!. The solution must meet the following requirements:
* For all the matching records that have the same value of key, update the value of LastModified in Status_Target to the value of LastModified in Status_Source.
* Insert all the records that exist in Status_Source that do NOT exist in Status_Target.
* Set the value of Status in Status_Target to inactive for all the records that were last modified more than seven days ago and that do NOT exist in Status.Source.
How should you complete the statement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

NEW QUESTION # 19
You are implementing the following data entities in a Fabric environment:
Entity1: Available in a lakehouse and contains data that will be used as a core organization entity Entity2: Available in a semantic model and contains data that meets organizational standards Entity3: Available in a Microsoft Power BI report and contains data that is ready for sharing and reuse Entity4: Available in a Power BI dashboard and contains approved data for executive-level decision making Your company requires that specific governance processes be implemented for the data.
You need to apply endorsement badges to the entities based on each entity's use case.
Which badge should you apply to each entity? To answer, drag the appropriate badges the correct entities. Each badge may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

NEW QUESTION # 20
HOTSPOT
You have an Azure Event Hubs data source that contains weather data.
You ingest the data from the data source by using an eventstream named Eventstream1. Eventstream1 uses a lakehouse as the destination.
You need to batch ingest only rows from the data source where the City attribute has a value of Kansas. The filter must be added before the destination. The solution must minimize development effort.
What should you use for the data processor and filtering? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

NEW QUESTION # 21
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