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DP-700 Latest Dump - Microsoft DP-700 First-grade Exam Pattern Pass Guaranteed

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Microsoft DP-700 Exam Syllabus Topics:

Topic
Details

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 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.

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DP-700 Study Materials & DP-700 Exam Preparatory & DP-700 Practice Test

Today is the best time to become competive PassSureExam and updated in the market. You can do this easily. Just enroll in the DP-700 exam and start DP-700 certification exam preparation Microsoft DP-700 Exam Dumps. Solutions DP-700 exam dumps after paying an affordable Implementing Data Engineering Solutions Using Microsoft Fabric (DP-700) exam questions charge and start this journey without wasting further time.

Microsoft Implementing Data Engineering Solutions Using Microsoft Fabric Sample Questions (Q96-Q101):

NEW QUESTION # 96
You have a Fabric workspace that contains a semantic model named Modell. You need to monitor the refresh history of Model 1 and visualize the refresh history in a chart. What should you use?

A. a Dataflow Gen2 dataflow
B. a data pipeline
C. a notebook
D. the refresh history from the settings of Model1.

Answer: D

NEW QUESTION # 97
You have a Fabric eventhouse that contains a KQL database. The database contains a table named TaxiData. The following is a sample of the data in TaxiData.

You need to build two KQL queries. The solution must meet the following requirements:
How should you complete each query? 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 # 98
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 # 99
You have a Fabric workspace named Workspacel that contains the following items:
* A Microsoft Power Bl report named Reportl
* A Power Bl dashboard named Dashboardl
* A semantic model named Modell
* A lakehouse name Lakehouse1
Your company requires that specific governance processes be implemented for the items. Which items can you endorse in Fabric?

A. Lakehouse1, Modell, and Dashboard1 only
B. Model1, Report1, and Dashboard1 only
C. Lakehouse1, Modell, Report1 and Dashboard1
D. Report1 and Dashboard1 only
E. Lakehouse1, Model1, and Report1 only

Answer: C

NEW QUESTION # 100
You have five Fabric workspaces.
You are monitoring the execution of items by using Monitoring hub.
You need to identify in which workspace a specific item runs.
Which column should you view in Monitoring hub?

A. Location
B. Start time
C. Capacity
D. Submitter
E. Job type
F. Activity name
G. Item type

Answer: A

Explanation:
To identify in which workspace a specific item runs in Monitoring hub, you should view the Location column. This column indicates the workspace where the item is executed. Since you have multiple workspaces and need to track the execution of items across them, the Location column will show you the exact workspace associated with each item or job execution.

NEW QUESTION # 101
......

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