MICROSOFT DP-600 RELIABLE BRAINDUMPS EBOOK | TEST DP-600 OBJECTIVES PDF

Microsoft DP-600 Reliable Braindumps Ebook | Test DP-600 Objectives Pdf

Microsoft DP-600 Reliable Braindumps Ebook | Test DP-600 Objectives Pdf

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Microsoft DP-600 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Maintain a data analytics solution: This section is all about implementing security and governance. In this topic, you also get information about maintaining the analytics development lifecycle.
Topic 2
  • Implement and manage semantic models: The topic delves into designing and building semantic models, and optimizing enterprise-scale semantic models.
Topic 3
  • Prepare data: In this topic, questions about creating objects in a lakehouse or warehouse, copying data, transforming data, and optimizing performance appear.

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The reason behind our confidence is the hard work of our professionals. We have hired a team who analyze past papers, Microsoft Implementing Analytics Solutions Using Microsoft Fabric Exam examination syllabus and add the most probable Microsoft DP-600 exam questions in three easy-to-use formats. These formats include DP-600 Pdf Dumps file, web-based Implementing Analytics Solutions Using Microsoft Fabric practice test, and desktop practice exam software. Keep reading to find the specifications of our DP-600 exam practice material's three formats.

Microsoft Implementing Analytics Solutions Using Microsoft Fabric Sample Questions (Q28-Q33):

NEW QUESTION # 28
You have a Fabric tenant tha1 contains a takehouse named Lakehouse1. Lakehouse1 contains a Delta table named Customer.
When you query Customer, you discover that the query is slow to execute. You suspect that maintenance was NOT performed on the table.
You need to identify whether maintenance tasks were performed on Customer.
Solution: You run the following Spark SQL statement:
REFRESH TABLE customer
Does this meet the goal?

  • A. Yes
  • B. No

Answer: B


NEW QUESTION # 29
You have a Microsoft Fabric tenant that contains a dataflow.
You are exploring a new semantic model.
From Power Query, you need to view column information as shown in the following exhibit.

Which three Data view options should you select? Each correct answer presents part of the solution. NOTE:
Each correct answer is worth one point.

  • A. Show column value distribution
  • B. Enable details pane
  • C. Enable column profile
  • D. Show column profile in details pane
  • E. Show column quality details

Answer: B,C,E

Explanation:
To view column information like the one shown in the exhibit in Power Query, you need to select the options that enable profiling and display quality and distribution details. These are: A. Enable column profile - This option turns on profiling for each column, showing statistics such as distinct and unique values. B. Show column quality details - It displays the column quality bar on top of each column showing the percentage of valid, error, and empty values. E. Show column value distribution - It enables the histogram display of value distribution for each column, which visualizes how often each value occurs.
References: These features and their descriptions are typically found in the Power Query documentation, under the section for data profiling and quality features.


NEW QUESTION # 30
You have a Fabric tenant that contains a semantic model.
You need to prevent report creators from populating visuals by using implicit measures.
What are two tools that you can use to achieve the goal? Each correct answer presents a complete solution.
NOTE: Each correct answer is worth one point.

  • A. Microsoft SQL Server Management Studio (SSMS)
  • B. Microsoft Power BI Desktop
  • C. DAX Studio
  • D. Tabular Editor

Answer: B,D

Explanation:
Microsoft Power BI Desktop (A) and Tabular Editor (B) are the tools you can use to prevent report creators from using implicit measures. In Power BI Desktop, you can define explicit measures which can be used in visuals. Tabular Editor allows for advanced model editing, where you can enforce the use of explicit measures. Reference = Guidance on using explicit measures and preventing implicit measures in reports can be found in the Power BI and Tabular Editor official documentation.


NEW QUESTION # 31
You have a Fabric workspace named Workspace 1 that contains a dataflow named Dataflow1. Dataflow! has a query that returns 2.000 rows. You view the query in Power Query as shown in the following exhibit.

What can you identify about the pickupLongitude column?

  • A. All the table rows are profiled.
  • B. The column has missing values.
  • C. There are 935 values that occur only once.
  • D. The column has duplicate values.

Answer: D

Explanation:
The pickupLongitude column has duplicate values. This can be inferred because the 'Distinct count' is 935 while the 'Count' is 1000, indicating that there are repeated values within the column. References = Microsoft Power BI documentation on data profiling could provide further insights into understanding and interpreting column statistics like these.


NEW QUESTION # 32
You have the source data model shown in the following exhibit.

The primary keys of the tables are indicated by a key symbol beside the columns involved in each key.
You need to create a dimensional data model that will enable the analysis of order items by date, product, and customer.
What should you include in the solution? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Reference:
Dimensional modeling
Star schema design


NEW QUESTION # 33
......

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