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New DP-600 Study Notes - DP-600 PDF Question

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Questions of Implementing Analytics Solutions Using Microsoft Fabric desktop practice exam software are similar to the actual DP-600 exam questions. This gives you a genuine feeling of being in an DP-600 exam atmosphere. This feature helps you become familiar with the DP-600 real test format and improves your ability to do well on the actual DP-600 exam.

Microsoft DP-600 Exam Syllabus Topics:

Topic
Details

Topic 1

Prepare data: In this topic, questions about creating objects in a lakehouse or warehouse, copying data, transforming data, and optimizing performance appear.

Topic 2

Implement and manage semantic models: The topic delves into designing and building semantic models, and optimizing enterprise-scale semantic models.

Topic 3

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.

>> New DP-600 Study Notes <<

Realistic Microsoft New DP-600 Study Notes

When you have adequately prepared for the Implementing Analytics Solutions Using Microsoft Fabric (DP-600) questions, only then you become capable of passing the Microsoft exam. There is no purpose in attempting the Microsoft DP-600 certification exam if you have not prepared with Itcertkey's Free Microsoft DP-600 PDF Questions. It's time to get serious if you want to validate your abilities and earn the Microsoft DP-600 Certification. If you hope to pass the Implementing Analytics Solutions Using Microsoft Fabric exam on your first attempt, you must be studied with real DP-600 exam questions verified by Microsoft DP-600.

Microsoft Implementing Analytics Solutions Using Microsoft Fabric Sample Questions (Q165-Q170):

NEW QUESTION # 165
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. There are 935 values that occur only once.
B. The column has duplicate values.
C. The column has missing values.
D. All the table rows are profiled.

Answer: B

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 # 166
You need to create a DAX measure to calculate the average overall satisfaction score.
How should you complete the DAX code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:
* The measure should use the AVERAGE function to calculate the average value.
* It should reference the Response Value column from the 'Survey' table.
* The 'Number of months' should be used to define the period for the average calculation.
To calculate the average overall satisfaction score using DAX, you would need to use the AVERAGE function on the response values related to satisfaction questions. The DATESINPERIOD function will help in calculating the rolling average over the last 12 months.

NEW QUESTION # 167
Case Study 1 - Contoso
Overview
Contoso, Ltd. is a US-based health supplements company. Contoso has two divisions named Sales and Research. The Sales division contains two departments named Online Sales and Retail Sales. The Research division assigns internally developed product lines to individual teams of researchers and analysts.
Existing Environment
Identity Environment
Contoso has a Microsoft Entra tenant named contoso.com. The tenant contains two groups named ResearchReviewersGroup1 and ResearchReviewersGroup2.
Data Environment
Contoso has the following data environment:
- The Sales division uses a Microsoft Power BI Premium capacity.
- The semantic model of the Online Sales department includes a fact table named Orders that uses Import made. In the system of origin, the OrderID value represents the sequence in which orders are created.
- The Research department uses an on-premises, third-party data warehousing product.
- Fabric is enabled for contoso.com.
- An Azure Data Lake Storage Gen2 storage account named storage1 contains Research division data for a product line named Productline1. - The data is in the delta format.
- A Data Lake Storage Gen2 storage account named storage2 contains Research division data for a product line named Productline2. The data is in the CSV format.
Requirements
Planned Changes
Contoso plans to make the following changes:
- Enable support for Fabric in the Power BI Premium capacity used by the Sales division.
- Make all the data for the Sales division and the Research division available in Fabric.
- For the Research division, create two Fabric workspaces named Productline1ws and Productine2ws.
- In Productline1ws, create a lakehouse named Lakehouse1.
- In Lakehouse1, create a shortcut to storage1 named ResearchProduct.
Data Analytics Requirements
Contoso identifies the following data analytics requirements:
- All the workspaces for the Sales division and the Research division must support all Fabric experiences.
- The Research division workspaces must use a dedicated, on-demand capacity that has per- minute billing.
- The Research division workspaces must be grouped together logically to support OneLake data hub filtering based on the department name.
- For the Research division workspaces, the members of ResearchReviewersGroup1 must be able to read lakehouse and warehouse data and shortcuts by using SQL endpoints.
- For the Research division workspaces, the members of ResearchReviewersGroup2 must be able to read lakehouse data by using Lakehouse explorer.
- All the semantic models and reports for the Research division must use version control that supports branching.
Data Preparation Requirements
Contoso identifies the following data preparation requirements:
- The Research division data for Productline1 must be retrieved from Lakehouse1 by using Fabric notebooks.
- All the Research division data in the lakehouses must be presented as managed tables in Lakehouse explorer.
Semantic Model Requirements
Contoso identifies the following requirements for implementing and managing semantic models:
- The number of rows added to the Orders table during refreshes must be minimized.
- The semantic models in the Research division workspaces must use Direct Lake mode.
General Requirements
Contoso identifies the following high-level requirements that must be considered for all solutions:
- Follow the principle of least privilege when applicable.
- Minimize implementation and maintenance effort when possible.
You need to recommend which type of Fabric capacity SKU meets the data analytics requirements for the Research division.
What should you recommend?

A. EM
B. F
C. P
D. A

Answer: B

Explanation:
The Research division workspaces must use a dedicated, on-demand capacity that has per- minute billing.

NEW QUESTION # 168
You are creating a semantic model in Microsoft Power Bl Desktop.
You plan to make bulk changes to the model by using the Tabular Model Definition Language (TMDL) extension for Microsoft Visual Studio Code.
You need to save the semantic model to a file.
Which file format should you use?

A. PBIT
B. PBIDS
C. PBIX
D. PBIP

Answer: C

NEW QUESTION # 169
You have a semantic model named Model 1. Model 1 contains five tables that all use Import mode. Model1 contains a dynamic row-level security (RLS) role named HR. The HR role filters employee data so that HR managers only see the data of the department to which they are assigned.
You publish Model1 to a Fabric tenant and configure RLS role membership. You share the model and related reports to users.
An HR manager reports that the data they see in a report is incomplete.
What should you do to validate the data seen by the HR Manager?

A. Select Test as role to view the report as the HR manager,
B. Ask the HR manager to open the report in Microsoft Power Bl Desktop.
C. Select Test as role to view the data as the HR role.
D. Filter the data in the report to match the intended logic of the filter for the HR department.

Answer: C

Explanation:
To validate the data seen by the HR manager, you should use the 'Test as role' feature in Power BI service. This allows you to see the data exactly as it would appear for the HR role, considering the dynamic RLS setup. Here is how you would proceed:
Navigate to the Power BI service and locate Model1.
Access the dataset settings for Model1.
Find the security/RLS settings where you configured the roles.
Use the 'Test as role' feature to simulate the report viewing experience as the HR role.
Review the data and the filters applied to ensure that the RLS is functioning correctly.
If discrepancies are found, adjust the RLS expressions or the role membership as needed.

NEW QUESTION # 170
......

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