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Microsoft DP-500 exam is designed to test the knowledge and skills of IT professionals who are interested in designing and implementing enterprise-scale analytics solutions using Microsoft Azure and Microsoft Power BI. Designing and Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure and Microsoft Power BI certification exam is a great way to demonstrate your proficiency in the latest technologies and tools used in the field of data analytics.
Microsoft Designing and Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure and Microsoft Power BI Sample Questions (Q112-Q117):
NEW QUESTION # 112
You have the following code in an Azure Synapse notebook.
Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the code.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Reference:
https://matplotlib.org/stable/gallery/lines_bars_and_markers/bar_stacked.html
https://matplotlib.org/stable/api/legend_api.html
NEW QUESTION # 113
You manage a dataset that contains the two data sources as shown in the following table.
When you attempt to refresh the dataset in powerbi.com, you receive the following error message: "[Unable to combine data] Add Columns is accessing data sources that have privacy levels which cannot be used together.
Please rebuild this data combination."
You discover that the dataset contains queries that fold data from the SharePoint folder to the Azure SQL database.
You need to resolve the error. The solution must provide the highest privacy possible.
Which privacy level should you select for each data source? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Box 1: Private
This Formula.Firewall error is the result of Power Query's Data Privacy Firewall (aka the Firewall) Note: Folding is a term that refers to converting expressions in M (such as filters, renames, joins, and so on) into operations against a raw data source (such as SQL, OData, and so on).
Box 2: Organizational
Organizational Limits the visibility of a data source to a trusted group of people. It is isolated from all Public data sources, but is visible to other Organizational data sources. A common example is a Microsoft Word document on an intranet SharePoint site with permissions enabled for a trusted group.
Reference:
https://support.microsoft.com/en-us/office/set-privacy-levels-power-query-cc3ede4d-359e-4b28-bc72-9bee7900b
NEW QUESTION # 114
You have a Power Bl workspace that contains one dataset and four reports that connect to the dataset. The
dataset uses Import storage mode and contains the following data sources:
* A CSV file in an Azure Storage account
* An Azure Database for PostgreSQL database
You plan to use deployment pipelines to promote the content from development to test to production. There
will be different data source locations for each stage. What should you include in the deployment pipeline to
ensure that the appropriate data source locations are used during each stage?
- A. parameter rules
- B. selective deployment
- C. auto-binding across pipelines
- D. data source rules
Answer: B
NEW QUESTION # 115
You open a Power Bl Desktop report that contains an imported data model and a single report page.
You open Performance analyzer, start recording, and refresh the visuals on the page. The recording produces
the results shown in the following exhibit
What can you identify from the results?
- A. When all the visuals refresh simultaneously, the visuals spend most of the time waiting on other processes to finish.
- B. The Actual/Forecast Billable Hrs YTD visual displays the most data.
- C. Unoptimized DAX queries cause the page to load slowly.
- D. The Actual/Forecast Hours by Type visual takes a long time to render on the report page when the data is cross-filtered.
Answer: A
NEW QUESTION # 116
You are creating a Power Bl Desktop report.
You add a Python visual to the report page.
You plan to create a scatter chart to visualize the data.
You add Python code to the Python script editor.
You need to create the scatter chart.
How should you complete the Python code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 117
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