PL-300 Exam Fragen & PL-300 Online Praxisprüfung

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Microsoft PL-300 Exam Syllabus Topics:

Section	Weight	Objectives
Model the Data	25-30%	- Develop the data model 1. Configure table relationships 2. Create calculated tables and columns 3. Implement row-level security roles 4. Use the calculation group feature 5. Build hierarchies and hierarchical fields 6. Create common date tables - Design a data model 1. Determine the appropriate granularity 2. Apply field metadata and groupings 3. Design a star schema or snowflake schema 4. Implement row-level security 5. Define tables and table schemas 6. Resolve performance issues with relationships - Optimize model performance 1. Improve user experience by hiding objects 2. Configure aggregations 3. Optimize Dax queries 4. Optimize DirectQuery models 5. Validate performance and resolve issues - Create measures and DAX calculations 1. Create calculated measures 2. Write and use basic DAX syntax 3. Use Time Intelligence functions 4. Use CALCULATE and FILTER functions 5. Create semi-additive measures 6. Implement context transition
Visualize the Data	25-30%	- Build visuals 1. Configure data colors and shapes 2. Format and configure pages and report backgrounds 3. Configure visual interactions and cross-filtering 4. Determine the appropriate visual type 5. Apply AI insights and enhanced analytics 6. Apply sorting and filtering to visuals - Enhance reports for user experience 1. Add accessibility features and compliance 2. Apply artistic formatting to visuals 3. Add tooltips and navigation 4. Design for mobile and specific layouts - Enrich reports with advanced visuals 1. Use dynamic page navigation 2. Create custom visuals 3. Integrate Microsoft Copilot for Power BI 4. Configure R and Python visuals
Manage and Maintain Workspace Items	10-15%	- Create and manage workspaces 1. Endorse sensitive content with sensitivity labels 2. Configure content certification 3. Configure workspace membership and roles 4. Publish and update a Power BI app - Manage datasets 1. Configure dataset metadata and properties 2. Manage dataset refresh scheduling 3. Manage gateways and data sources 4. Resolve dataset permission issues
Analyze the Data	10-15%	- Perform analysis in Power BI 1. Apply Quick Insights 2. Identify patterns and trends 3. Use the Q&A visual 4. Generate Pinn visual insights 5. Configure auto-insights - Work with metrics in Power BI 1. Define and monitor KPIs 2. Use the Decomposition Tree visual 3. Create metrics using Microsoft measurements 4. Track goals with scorecards
Prepare the Data	10-15%	- Clean, transform, and load the data 1. Determine proper data types 2. Design and build intermediate tables 3. Profile the data 4. Configure data loading and queries 5. Resolve data quality issues 6. Apply user-friendly naming conventions to columns and tables 7. Identify the data structure - Get data from various data sources 1. Configure dataset refresh 2. Change data source settings 3. Identify and connect to a data source 4. Use Microsoft Fabric and OneLake 5. Choose between DirectQuery, Import, and Dual storage modes 6. Select a shared dataset or create a local copy

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Microsoft Power BI Data Analyst PL-300 Prüfungsfragen mit Lösungen (Q127-Q132):

127. Frage
Your company has affiliates who help the company acquire customers.
You build a report for the affiliate managers at the company to assist them in understanding affiliate p erformance.
The managers request a visual showing the total sales value of the latest 50 transactions for each affiliate. You have a data model that contains the following tables.

You need to develop a measure to support the visual.
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.

Antwort:

Begründung:

Explanation:
Box 1: CALCULATE
Start with CALCULATE and use a SUMX.
CALCULATE evaluates an expression in a modified filter contex t.
Box 2: SUM
Box 3: TOPN
TOPN returns the top N rows of the specified table.
Box 4: [TransactionDate]
TOPN Syntax: TOPN( < n_value > , < table > , < orderBy_expression > , [ < order > [, < orderBy_expression
> , [ < order > ]]...] )
The orderBy_expression: Any DAX expression where the result value is used to sort the table and it is evaluated for each row of table.
Reference:
https://docs.microsoft.com/en-us/dax/topn-function-dax

128. Frage
You are creating a Power 81 model to analyze inventory.
You load data into three tables named Date Product, and Inventor/. The Inventor/ table relates to the Date and Product tables by using one-to-many relationships.
Inventor)' data is recorded daily with no exceptions. The correct inventory quantity for a given product in a month is the last recorded value for that month You need to write a DAX measure that will show the correct inventory value when a user analyzes inventory by year, month, or date.
How should you complete the measure? To answer select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point

Antwort:

Begründung:

Explanation

129. Frage
You are profiling data by using Power Query Editor.
You have a table that contains a column named column1. Column statistics and Value distribution for column1 are shown in the following exhibit.

Antwort:

Begründung:

130. Frage
You have the semantic model shown in the following exhibit.

You need to ensure that the visual shows only the 10 cities that have the highest sales profit.
What should you do?

A. Add a calculated column to the table that uses the TOPN function. In the visual, replace Sales Profit with the calculated column.
B. Add a calculated column to the table that returns the city name if the city is in the top 10, otherwise thecalculated column will return " Not in Top 10 " . In the visual, replace Sales Profit with the calculated column.
C. Configure the Sales Profit measure to use the RANKX function.
D. Add a Top N filter to the visual.

Antwort: D

Begründung:
The deciding requirement in this question is to ensure that the visual shows only the 10 cities that have the highest sales profit. DAX calculations depend on evaluation context. Aggregators, iterators, and filter- modifying functions must be combined so the expression evaluates the intended rows while retaining or replacing filters only where required. The answer resolves to A (Add a Top N filter to the visual). An alternative that changes the source or creates a stored column either ignores filter context or increases model size without meeting a dynamic measure requirement. Microsoft lists this skill in the current PL-300 outline as " Create model calculations by using DAX " .
Microsoft Learn reference: https://learn.microsoft.com/en-us/dax/ | PL-300 objective: " Create model calculations by using DAX " | Study guide: https://learn.microsoft.com/en-us/credentials/certifications
/resources/study-guides/pl-300

131. Frage
You have a semantic model that contains a table named Employees. The table contains the following columns:
* Employee ID
* First Name
* Last Name
* Department
* Salary
Each employee is uniquely identified by using Employee ID.
You need to create a DAX measure that will calculate the average salary of all the employees in the sales department.
Which DAX expression should you use?

A. CALCULATE(AVERAGE('Employees'[Salary]), 'Employees'[Department] = "Sales")
B. AVERAGE('Employees'[Salary])
C. DISTINCTCOUNT('Employees'[Salary])
D. CALCULATE(DISTINCTCOUNT('Employees'[Salary]), 'Employees'[Department] = "Sales")

Antwort: A

132. Frage
......

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