PASS4SURE DP-700 PASS GUIDE & DP-700 VALID MOCK TEST

Pass4sure DP-700 Pass Guide & DP-700 Valid Mock Test

Pass4sure DP-700 Pass Guide & DP-700 Valid Mock Test

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Tags: Pass4sure DP-700 Pass Guide, DP-700 Valid Mock Test, DP-700 Latest Exam Questions, New DP-700 Exam Preparation, DP-700 New Braindumps

You can access the premium PDF file of Microsoft DP-700 dumps right after making the payment. It will contain all the latest DP-700 exam dumps questions based on the official Microsoft exam study guide. These are the most relevant Microsoft DP-700 questions that will appear in the actual Implementing Data Engineering Solutions Using Microsoft Fabric exam. Thus you won’t waste your time preparing with outdated Microsoft DP-700 dumps. You can go through Microsoft DP-700 dumps questions using this PDF file anytime, anywhere even on your smartphone. The goal of a Microsoft DP-700 Mock Exam is to test exam readiness. Prep4King’s online Microsoft DP-700 practice test can be accessed online through all major browsers such as Chrome, Firefox, Safari, and Edge. You can also download and install the offline version of Microsoft DP-700 practice exam software on Windows-based PCs only.

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DP-700 Valid Mock Test | DP-700 Latest Exam Questions

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Microsoft DP-700 Exam Syllabus Topics:

TopicDetails
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
  • 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
  • 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.

Microsoft Implementing Data Engineering Solutions Using Microsoft Fabric Sample Questions (Q73-Q78):

NEW QUESTION # 73
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have a KQL database that contains two tables named Stream and Reference. Stream contains streaming data in the following format.

Reference contains reference data in the following format.

Both tables contain millions of rows.
You have the following KQL queryset.

You need to reduce how long it takes to run the KQL queryset.
Solution: You change project to extend.
Does this meet the goal?

  • A. No
  • B. Yes

Answer: A

Explanation:
Using extend retains all columns in the table, potentially increasing the size of the output unnecessarily. project is more efficient because it selects only the required columns.


NEW QUESTION # 74
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have a Fabric eventstream that loads data into a table named Bike_Location in a KQL database. The table contains the following columns:
You need to apply transformation and filter logic to prepare the data for consumption. The solution must return data for a neighbourhood named Sands End when No_Bikes is at least 15. The results must be ordered by No_Bikes in ascending order.
Solution: You use the following code segment:

Does this meet the goal?

  • A. Yes
  • B. no

Answer: A

Explanation:
Filter Condition: It correctly filters rows where Neighbourhood is "Sands End" and No_Bikes is greater than or equal to 15.
Sorting: The sorting is explicitly done by No_Bikes in ascending order using sort by No_Bikes asc.
Projection: It projects the required columns (BikepointID, Street, Neighbourhood, No_Bikes, No_Empty_Docks, Timestamp), which minimizes the data returned for consumption.


NEW QUESTION # 75
You need to ensure that usage of the data in the Amazon S3 bucket meets the technical requirements.
What should you do?

  • A. Create a shortcut and ensure that caching is disabled for the workspace.
  • B. Create a shortcut and ensure that caching is enabled for the workspace.
  • C. Create a workspace identity and enable high concurrency for the notebooks.
  • D. Create a workspace identity and use the identity in a data pipeline.

Answer: A

Explanation:
To ensure that the usage of the data in the Amazon S3 bucket meets the technical requirements, we must address two key points:


NEW QUESTION # 76
You need to recommend a Fabric streaming solution that will use the sources shown in the following table.

The solution must minimize development effort.
What should you include in the recommendation for each source? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 77
You have a Fabric warehouse named DW1 that contains four staging tables named ProductCategory, ProductSubcategory, Product, and SalesOrder. ProductCategory, ProductSubcategory, and Product are used often in analytical queries.
You need to implement a star schema for DW1. The solution must minimize development effort.
Which design approach 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 # 78
......

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