Free PDF 2026 Microsoft PL-300: Updated Microsoft Power BI Data Analyst Latest Torrent

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Microsoft PL-300 Exam Syllabus Topics:

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

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PL-300 Latest Test Online - PL-300 Certification Test Questions

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Microsoft Power BI Data Analyst Sample Questions (Q174-Q179):

NEW QUESTION # 174
You have an API that returns more than 100 columns. The following is a sample of column names.
client_notified_timestamp
client_notified_source
client_notified_sourceid
client_notified_value
client_responded_timestamp
client_responded_source
client_responded_sourceid
client_responded_value
You plan to include only a subset of the returned columns.
You need to remove any columns that have a suffix of sourceid.
How should you complete the Power Query M code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

NEW QUESTION # 175
You have the dashboard shown in the following exhibit.

You need to modify the dashboard to display as shown in the following exhibit.

What should you do?

A. Apply the Dark dashboard theme.
B. Upload a snapshot image of the dashboard.
C. Change the colors of the visuals in the report.
D. Create and apply a custom dashboard theme.

Answer: D

NEW QUESTION # 176
You have a Power Bl visual that uses indicators to show values that are out of range as shown in the following exhibit.

Answer:

Explanation:
see the explanation for the answer.
Explanation:
Answer as selected

NEW QUESTION # 177
You have a semantic model named Model1.
You have a Power BI report named RPT1 that is connected to Model1. RPT1 contains a table visual named Table1 that shows the results of multiple measures.
You discover that the DAX query for Table1 runs slowly.
You need to identify which measure is slowing query performance.
What should you use?

A. Performance analyzer
B. DAX query view
C. Model view
D. B. Power Query Editor

Answer: B

Explanation:
Performance Analyzer records how long each visual spends on its DAX query, display, and other processing.
DAX query view can then run and inspect a copied query to isolate the measure responsible for slow execution. The supported selection is A (DAX query view). The deciding requirement in this question is to identify which measure is slowing query performance. Guessing from total page time does not isolate the slow visual or measure; the diagnostic must separate DAX query, visual display, and other processing duration. This rationale is anchored to the PL-300 objective " Identify poorly performing measures, relationships, and visuals by using Performance Analyzer and DAX query view " .
Microsoft Learn reference: https://learn.microsoft.com/en-us/power-bi/create-reports/performance-analyzer | PL-300 objective: " Identify poorly performing measures, relationships, and visuals by using Performance Analyzer and DAX query view " | Study guide: https://learn.microsoft.com/en-us/credentials/certifications
/resources/study-guides/pl-300

NEW QUESTION # 178
You have the Power Bl data model shown in the following exhibit.

You need to create a measure to count the number of product categories that had products sold during a selected period. How should you complete the DAX expression? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

NEW QUESTION # 179
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