Associate DP-700 Level Exam & New DP-700 Exam Dumps

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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
Real Exam Qty:	50–60
Related Certifications:	Microsoft Certified: Power BI Data Analyst Associate Microsoft Certified: Azure Data Engineer Associate
Certificate Validity Period:	1 year
Exam Duration:	100 minutes
Passing Score:	700 (scaled score 100–1000)
Exam Price:	$165 USD
Available Languages:	Korean, Spanish, French, English, Portuguese (Brazil), German, Japanese, Chinese (Simplified)
Exam Format:	Multiple choice, Interactive items, Case studies, Scenario-based, Multiple select
Recommended Training:	Microsoft Learn: Implementing Data Engineering Solutions Using Microsoft Fabric Microsoft Fabric Documentation
Exam Registration:	Microsoft Official Exam Registration Pearson VUE 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 Exam Syllabus Topics:

Topic	Details
Topic 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.
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	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.

Microsoft Implementing Data Engineering Solutions Using Microsoft Fabric Sample Questions (Q145-Q150):

NEW QUESTION # 145
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 run series from the details of the application run
D. Spark History Server
E. the job history from the application run

Answer: D

Explanation:
The run series from the details of the application run is the most detailed and relevant feature for visualizing job execution in a timeline format, making it the correct choice for this scenario. It provides an intuitive way to analyze job execution patterns and improve the efficiency of the notebook.

NEW QUESTION # 146
You have a Fabric lakehouse that contains the resources shown in the following table.

You need to use a notebook to query for customers in the United States and load the filtered data into USCustomers. The solution must minimize the number of scripts used.
Which statement should you use?

A. customers.write.format( " parquet " ).mode( " append " ).saveAsTable( " USCustomers " )
B. customers.write.format( " delta " ).mode( " overwrite " ).save( " Tables/USCustomers " )
C. customers.write.format( " delta " ).mode( " overwrite " ).saveAsTable( " USCustomers " )
D. customers.write.format( " parquet " ).mode( " append " ).save( " Tables/USCustomers " )

Answer: C

NEW QUESTION # 147
You have a Fabric workspace that contains an eventstream named EventStreaml. EventStreaml outputs events to a table named Tablel in a lakehouse. The streaming data is souiced from motorway sensors and represents the speed of cars.
You need to add a transformation to EventStream1 to average the car speeds. The speeds must be grouped by non-overlapping and contiguous time intervals of one minute. Each event must belong to exactly one window.
Which windowing function should you use?

A. session
B. hopping
C. tumbling
D. sliding

Answer: C

NEW QUESTION # 148
You have a Fabric data warehouse that contains the following tables.

You need to refresh the tables by using an automated pipeline. The solution must ensure that table updates occur in the correct order to maintain referential integrity.
Which two tables should you refresh first? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A. Dim Product
B. DimGeography
C. DimCustomer
D. Factlnventory
E. FactSale

Answer: A,B

NEW QUESTION # 149
HOTSPOT
You have a Fabric workspace that contains an eventstream named EventStream1.
You discover that an EventStream1 transformation fails.
You need to find the following error information:
The error details, including the occurrence time
The total number of errors
What should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

NEW QUESTION # 150
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