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[General] Valid DP-700 Test Pass4sure, DP-700 Latest Version

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【General】 Valid DP-700 Test Pass4sure, DP-700 Latest Version

Posted at 2/3/2026 13:05:12      View：58 | Replies：0        Print      Only Author   [Copy Link] 1#
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Microsoft DP-700 Exam Syllabus Topics:
TopicDetails
Topic 1
  • 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 2
  • 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 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.

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Microsoft Implementing Data Engineering Solutions Using Microsoft Fabric Sample Questions (Q100-Q105):NEW QUESTION # 100
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 # 101
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. Monitoring hub
  • B. the job history from the application run
  • C. Real-Time hub
  • D. Spark History Server
  • E. the run series from the details of 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 # 102
You are developing a data pipeline named Pipeline1.
You need to add a Copy data activity that will copy data from a Snowflake data source to a Fabric warehouse. Which option from the Settings tab of the Copy data activity must you configure?
  • A. Enable staging
  • B. Enable logging
  • C. Fault tolerance
  • D. Degree of copy parallelism
Answer: A

NEW QUESTION # 103
You are implementing a medallion architecture in a Fabric lakehouse.
You plan to create a dimension table that will contain the following columns:
* ID
* CustomerCode
* CustomerName
* CustomerAddress
* CustomerLocation
* ValidFrom
* ValidTo
You need to ensure that the table supports the analysis of historical sales data by customer location at the time of each sale Which type of slowly changing dimension (SCD) should you use?
  • A. Type 0
  • B. Type 3
  • C. Type 2
  • D. Type 1
Answer: C

NEW QUESTION # 104
You have a Fabric workspace named Workspace1 that contains a warehouse named Warehouse2. A team of data analysts has Viewer role access to Workspace1. You create a table by running the following statement.

You need to ensure that the team can view only the first two characters and the last four characters of the Creditcard attribute.
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:


NEW QUESTION # 105
......
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