Microsoft Designing and Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure and Microsoft Power BI (DP-500) - Microsoft

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Sample DP-500 Exam Questions & Explanations

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Question #1 Verified Q&A
DRAG DROP You need to implement object-level security (OLS) in the Power Bl dataset for the sales associates. Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.<br />
<br />
<img src="https://examsqa.com/storage/question-images/microsoft-designing-and-implementing-enterprise-scale-analytics-solutions-using-microsoft-azure-and-microsoft-power-bi-dp-500_page_2_Im4.jpg" alt="Exhibit" style="max-width: 100%; height: auto;" />
Explanation:
<img src="https://examsqa.com/storage/question-images/microsoft-designing-and-implementing-enterprise-scale-analytics-solutions-using-microsoft-azure-and-microsoft-power-bi-dp-500_page_3_Im5.jpg" alt="Exhibit" style="max-width: 100%; height: auto;" />
Question #2 Verified Q&A
What should you configure in the deployment pipeline?
A a selective deployment
B a data source rule
C auto-binding
D a backward deployment
Correct Answer: a data source rule
Explanation:
Development Process Requirements<br />
<br />
Litware identifies the following development process requirements: SQLDW and datalake1 will act as the development environment. Once feature development is complete, all entities in synapseworkspace1 will be promoted to a test workspace, and then to a production workspace. Power BI content must be deployed to test and production by using deployment pipelines. Create deployment rules<br />
<br />
When working in a deployment pipeline, different stages may have different configurations. For example, each stage can have different databases or different query parameters. The development stage might query sample data from the database, while the test and production stages query the entire database.<br />
<br />
When you deploy content between pipeline stages, configuring deployment rules enables you to allow changes to content, while keeping some settings intact. For example, if you want a dataset in a production stage to point to a production database, you can define a rule for this. The rule is defined in the production stage, under the appropriate dataset. Once the rule is defined, content deployed<br />
from test to production, will inherit the value as defined in the deployment rule, and will always<br />
apply as long as the rule is unchanged and valid. You can configure data source rules and parameter rules.<br />
<br />
Incorrect: Not B: if you already have a steady production environment, you can deploy it backward (to Test or Dev, based on your need) and set up the pipeline. The feature is not limited to any sequential orders.<br />
<br />
Reference: https://docs.microsoft.com/en-us/power-bi/create-reports/deployment-pipelines-get-<br />
started#step-4---create-deployment-rules
Question #3 Verified Q&A
HOTSPOT You need to populate the CustomersWithProductScore table.<br />
<br />
How should you complete the stored procedure? To answer, select the appropriate options in the
Explanation:
<img src="https://examsqa.com/storage/question-images/microsoft-designing-and-implementing-enterprise-scale-analytics-solutions-using-microsoft-azure-and-microsoft-power-bi-dp-500_page_4_Im6.jpg" alt="Exhibit" style="max-width: 100%; height: auto;" /><br />
<br />
<img src="https://examsqa.com/storage/question-images/microsoft-designing-and-implementing-enterprise-scale-analytics-solutions-using-microsoft-azure-and-microsoft-power-bi-dp-500_page_5_Im7.jpg" alt="Exhibit" style="max-width: 100%; height: auto;" /><br />
<br />
Box 1: FLOAT Identify which customers should receive promotional emails based on their likelihood of purchasing Identify which customers should receive promotional emails based on their likelihood of purchasing promoted products.<br />
FLOT is used in the last statement of the code: WITH (score FLOAT) as p;<br />
From syntax: MODEL<br />
The MODEL parameter is used to specify the model used for scoring or prediction. The model is specified as a variable or a literal or a scalar expression. Box 2: dbo.CustomerWithProductScore promoted products. Only table CustomerWithProductScore has the required filed score.<br />
<br />
From the syntax:<br />
DATA The DATA parameter is used to specify the data used for scoring or prediction. Data is specified in the form of a table source in the query. Table source can be a table, table alias, CTE alias, view, or table- valued function.<br />
<br />
Reference: https://docs.microsoft.com/en-us/sql/t-sql/queries/predict-transact-sql
Question #4 Verified Q&A
DRAG DROP You need to create the customized Power Bl usage reporting. The Usage Metrics Report dataset has already been created. The solution must minimize development and administrative effort. Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.<br />
<br />
<img src="https://examsqa.com/storage/question-images/microsoft-designing-and-implementing-enterprise-scale-analytics-solutions-using-microsoft-azure-and-microsoft-power-bi-dp-500_page_6_Im8.jpg" alt="Exhibit" style="max-width: 100%; height: auto;" /><br />
<br />
<img src="https://examsqa.com/storage/question-images/microsoft-designing-and-implementing-enterprise-scale-analytics-solutions-using-microsoft-azure-and-microsoft-power-bi-dp-500_page_6_Im9.jpg" alt="Exhibit" style="max-width: 100%; height: auto;" />
Explanation:
Step 1: From powerbi.com, create a new report..<br />
The company wants custom Power BI usage reporting that includes the percent change of users that<br />
<br />
view reports in the Sales Analytics workspace each month.<br />
<br />
Step 2: Add a report measure<br />
Measures are used in some of the most common data analyses. Simple summarizations such as sums, averages, minimum, maximum and counts can be set through the Fields well. The calculated results of measures are always changing in response to your interaction with your reports, allowing<br />
for fast and dynamic ad-hoc data exploration.<br />
<br />
Step 3: Add visuals to the report<br />
<br />
Step 4: Publish the report to the Sales Analytics workspace<br />
<br />
Reference: https://docs.microsoft.com/en-us/power-bi/transform-model/desktop-measures
Question #5 Verified Q&A
You need to configure the Sales Analytics workspace to meet the ad hoc reporting requirements.<br />
<br />
What should you do?
A Grant the sales managers admin access to the existing Power Bl workspace.
B Create a PBIT file and distribute the file to the sales managers.
C Create a deployment pipeline and grant the sales managers access to the pipeline.
D Grant the sales managers the Build permission for the existing Power Bl datasets.
Correct Answer: Create a PBIT file and distribute the file to the sales managers.
Explanation:
Allow sales managers to perform ad hoc sales reporting with minimal effort Power BI report templates contain the following information from the report from which they were generated: Report pages, visuals, and other visual elements The data model definition, including the schema, relationships, measures, and other model definition items All query definitions, such as queries, Query Parameters, and other query elements<br />
<br />
What is not included in templates is the report's data. Report templates use the file extension .PBIT (compare to Power BI Desktop reports, which use the .PBIX extension).<br />
<br />
Note: With Power BI Desktop, you can create compelling reports that share insights across your entire organization. With Power BI Desktop templates, you can streamline your work by creating a report template, based on an existing template, which you or other users in your organization can use as a starting point for a new report's layout, data model, and queries. Templates in Power BI Desktop help you jump-start and standardize report creation.<br />
<br />
Reference: https://docs.microsoft.com/en-us/power-bi/create-reports/desktop-templates

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Our DP-500 (Microsoft Designing and Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure and Microsoft Power BI) practice question bank currently includes 162 verified questions with comprehensive explanations.
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