MICROSOFT - DP-700 - IMPLEMENTING DATA ENGINEERING SOLUTIONS USING MICROSOFT FABRIC NEWEST ACTUAL BRAINDUMPS

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

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

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Tags: DP-700 Actual Braindumps, Hot DP-700 Spot Questions, DP-700 Exam Cram Questions, DP-700 Free Exam Dumps, DP-700 Reliable Test Forum

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Hot DP-700 Spot Questions | DP-700 Exam Cram Questions

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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
  • 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 3
  • Implement and manage an analytics solution: This section of the exam measures the skills of 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 (Q56-Q61):

NEW QUESTION # 56
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:


NEW QUESTION # 57
You have a Fabric workspace that contains a takehouse and a semantic model named Model1.
You use a notebook named Notebook1 to ingest and transform data from an external data source.
You need to execute Notebook1 as part of a data pipeline named Pipeline1. The process must meet the following requirements:
* Run daily at 07:00 AM UTC.
* Attempt to retry Notebook1 twice if the notebook fails.
* After Notebook1 executes successfully, refresh Model1.
Which three actions should you perform? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

  • A. From the Schedule settings of Pipeline1, set the time zone to UTC.
  • B. Set the Retry setting of the Semantic model refresh activity to 2.
  • C. From the Schedule settings of Notebook1, set the time zone to UTC.
  • D. Place the Semantic model refresh activity after the Notebook activity and link the activities by using an On completion condition.
  • E. Set the Retry setting of the Notebook activity to 2.
  • F. Place the Semantic model refresh activity after the Notebook activity and link the activities by using the On success condition.

Answer: A,E,F


NEW QUESTION # 58
You need to ensure that the authors can see only their respective sales data.
How should you complete the statement? To answer, drag the appropriate values the correct targets. Each value 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 # 59
HOTSPOT
You are building a data loading pattern for Fabric notebook workloads.
You have the following code segment:

For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 60
You have a Fabric deployment pipeline that uses three workspaces named Dev, Test, and Prod.
You need to deploy an eventhouse as part of the deployment process.
What should you use to add the eventhouse to the deployment process?

  • A. GitHub Actions
  • B. a deployment pipeline
  • C. an Azure DevOps pipeline

Answer: B

Explanation:
A deployment pipeline in Fabric is designed to automate the process of deploying assets (such as reports, datasets, eventhouses, and other objects) between environments like Dev, Test, and Prod. Since you need to deploy an eventhouse as part of the deployment process, a deployment pipeline is the appropriate tool to move this asset through the different stages of your environment.


NEW QUESTION # 61
......

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