Microsoft PL-300 New Study Questions - PL-300 Latest Demo

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Microsoft PL-300 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Prepare the data	25-30%	- Profile and clean data 1. Manage data types, columns, and rows 2. Resolve inconsistencies, null values, and errors 3. Transform data using Power Query Editor 4. Evaluate data statistics and column properties - Get or connect to data 1. Create and modify parameters 2. Identify and connect to data sources or shared semantic models 3. Configure data source settings, credentials, and privacy levels 4. Choose storage modes: Import, DirectQuery, DirectLake - Load and configure data 1. Integrate data from multiple sources 2. Define table structures and properties 3. Configure data refresh settings
Topic 2: Manage and secure Power BI	15-20%	- Manage workspaces and assets 1. Manage data refresh and scheduled updates 2. Publish, update, and organize reports/datasets 3. Create and configure workspaces - Implement security and governance 1. Apply data sensitivity labels and protection 2. Manage permissions and access 3. Configure row-level security (RLS) and object-level security - Deploy and distribute content 1. Embed content in applications or websites 2. Share reports, dashboards, and apps 3. Monitor usage and performance
Topic 3: Visualize and analyze data	25-30%	- Create reports and dashboards 1. Create dashboards and pinned elements 2. Apply filters, slicers, and drill-through 3. Design report layout, formatting, and interactivity 4. Choose appropriate visualizations - Enhance reports with analytics 1. Create paginated reports 2. Use AI visuals, forecasts, and key influencers 3. Apply conditional formatting and custom visuals - Perform data analysis 1. Implement custom visuals and R/Python scripts 2. Interpret results and identify trends 3. Create and manage bookmarks and tooltips
Topic 4: Model the data	25-30%	- Create model calculations 1. Use DAX: calculated columns, calculated tables, measures 2. Use CALCULATE and filter context 3. Implement aggregation and time intelligence - Optimize model performance 1. Optimize relationships and calculations 2. Reduce cardinality and data size 3. Use aggregations and composite models - Design data models 1. Implement role-playing dimensions 2. Create common date tables 3. Define tables, columns, and hierarchies 4. Create relationships: cardinality, cross-filter direction, security

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Microsoft Power BI Data Analyst Sample Questions (Q246-Q251):

NEW QUESTION # 246
You create a dashboard by using the Microsoft Power Bl Service. The dashboard contains a card visual that shows total sales from the current year. You grant users access to the dashboard by using the viewer role on the workspace. A user wants to receive daily notifications of the number shown on the card visual. You need to automate the notifications. What should you do?

A. Create a subscription.
B. Share the dashboard to the user.
C. Tag the user in a comment.
D. Create a data alert.

Answer: A

Explanation:
You can subscribe yourself and your colleagues to the report pages, dashboards, and paginated reports that matter most to you. Power BI e-mail subscriptions allow you to:
Decide how often you want to receive the emails: daily, weekly, hourly, monthly, or once a day after the initial data refresh.
Choose the time you want to receive the email, if you choose daily, weekly, hourly, or monthly.
Note: Email subscriptions don't support most custom visuals. The one exception is those custom visuals that have been certified.
Email subscriptions don't support R-powered custom visuals at this time.
Incorrect Answers:
A: Set data alerts to notify you when data in your dashboards changes beyond limits you set.
Reference:
https://docs.microsoft.com/en-us/power-bi/collaborate-share/service-report-subscribe
https://docs.microsoft.com/en-us/power-bi/create-reports/service-set-data-alerts

NEW QUESTION # 247
You have a Power B1 model that contains a table named Date. The table has the following columns.

Answer:

Explanation:
Answer is below.

NEW QUESTION # 248
You are building a data model for a Power BI report.
You have data formatted as shown in the following table.

You need to create a clustered bar chart as shown in the following exhibit.

What should you do?

A. In a DAX function, create two measures named Machine and User by using the SUBSTITUTE function.
B. From Power Query Editor, create a column that contains the last three digits of the Machine-User column.
C. In a DAX function, create two calculated columns named Machine and User by using the SUBSTITUTE function.
D. From Power Query Editor, split the Machine-User column by using a delimiter.

Answer: D

Explanation:
Split a column of text (Power Query)
You can split a column with a text data type into two or more columns by using a common delimiter character.
For example, a Name column that contains values written as <LastName>, <FirstName> can be split into two columns using the comma (,) character.
Note: Power Query is an Extract Transform Load (ETL) tool. It allows us to Download and fetch data from different sources. We call this data ingestion Combine, clean, and model this data. We call this data wrangling Reference:
https://support.microsoft.com/en-us/office/split-a-column-of-text-power-query-5282d425-6dd0-46ca-95bf-8e0da9539662

NEW QUESTION # 249
You have a Microsoft Power Bl workspace.
You need to grant the user capabilities shown in the following table.

The solution must use the principle of least privilege.
Which user role should you assign to each user? To answer, drag the appropriate roles to the correct users. Each role may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

NEW QUESTION # 250
You publish a Microsoft Power BI dataset to powerbi.com. The dataset appends data from an on-premises Oracle database and an Azure SQL database by using one query.
You have admin access to the workspace and permission to use an existing On-premises data gateway for which the Oracle data source is already configured.
You need to ensure that the data is updated every morning. The solution must minimize configuration effort.
Which two actions should you perform when you configure scheduled refresh? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A. Deploy an On-premises data gateway in personal mode.
B. Set the refresh frequency to Daily.
C. Configure the dataset to use the personal gateway.
D. Configure the dataset to use the existing On-premises data gateway.

Answer: B,D

Explanation:
Explanation
https://docs.microsoft.com/en-us/power-bi/connect-data/service-gateway-personal-mode

NEW QUESTION # 251
......

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