Microsoft PL-300 Prüfungsaufgaben - PL-300 Musterprüfungsfragen

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Microsoft PL-300 Exam Syllabus Topics:

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

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Microsoft Power BI Data Analyst PL-300 Prüfungsfragen mit Lösungen (Q82-Q87):

82. Frage
You need to create relationships to meet the reporting requirements of the customer service department.
What should you create?

A. an additional date table named ShipDate, a many-to-many relationship from Sales[sales_date_id] to Date[date_id], and a many-to-many relationship from Sales[sales_ship_date_id] to ShipDate[date_id]
B. a one-to-many relationship from Date[date_id] to Sales[sales_date_id] and another one-to-many relationship from Date[date_id] to Sales[sales_ship_date_id]
C. a one-to-many relationship from Date[date_id] to Sales[sales_date_id] and another one-to-many relationship from Date[date_id] to Weekly_Returns[week_id]
D. a one-to-many relationship from Sales[sales_date_id] to Date[date_id] and a one-to-many relationship from Sales[sales_ship_date_id] to Date[date_id]
E. an additional date table named ShipDate, a one-to-many relationship from Sales[sales_date_id] to Date[date_id], and a one-to-many relationship from Sales[sales_ship_date_id] to ShipDate[date_id]

Antwort: E

Begründung:
Explanation
Scenario: The customer service department requires a visual that can be filtered by both sales month and ship month independently.
Reference:
https://docs.microsoft.com/en-us/power-bi/transform-model/desktop-relationships-understand

83. Frage
You have two CSV files named Products and Categories.
The Products file contains the following columns:
* ProductID
* ProductName
* SupplierID
* CategoryID
The Categories file contains the following columns:
* CategoryID
* CategoryName
* CategoryDescription
From Power BI Desktop, you import the files into Power Query Editor.
You need to create a Power BI dataset that will contain a single table named Product. The Product will table includes the following columns:
* ProductID
* ProductName
* SupplierID
* CategoryID
* CategoryName
* CategoryDescription
How should you combine the queries, and what should you do on the Categories query? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Antwort:

Begründung:

Explanation:
Answer as selected

84. Frage
You use Power 81 Desktop to load data from a Microsoft SQL Server database.
While waiting for the data to load, you receive the following error.

You need to resolve the error.
What are two ways to achieve the goal? Each correct answer presents a complete solution NOTE: Each correct selection is worth one point.

A. Disable query folding on long running queries
B. Split long running queries into subsets Of columns and use power Query to the queries
C. Use Power Query to combine long running queries into one query.
D. Reduce number of rows and columns returned by each query.

Antwort: A,C

85. Frage
Hotspot Question
You have a Power BI model that has the following tables:
Product (Product_id, Product_Name)
Sales (Order_id, Order_Date, Product_id, Salesperson_id, Sales_Amount)
Salesperson (Salesperson_id, Salesperson_name, address)
You plan to create the following measure.
Measure1 = DISTINCTCOUNT(Sales[ProductID])
You need to create the following relationships:
Sales to Product
Sales to Salesperson
The solution must ensure that you can use Measure1 to display the count of products sold by each salesperson.
How should you configure the relationships? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Antwort:

Begründung:

86. Frage
You are configuring a Microsoft Power Bl data model to enable users to ask natural language questions by using Q&A. You have a table named Customer that has the following measure.
Customer Count = DISTINCTCOUNT(Customer[CustomerID])
Users frequently refer to customers as subscribers.
You need to ensure that the users can get a useful result for "subscriber count" by using Q&A. The solution must minimize the size of the model.
What should you do?

A. Add a synonym of "subscriber" to the Customer table.
B. Add a description of "Subscriber" to the Customer table.
C. Add a description of "subscriber count" to the Customer Count measure.
D. Set Summarize By to None for the CustomerlD column.

Antwort: D

Begründung:
Explanation
You can add synonyms to tables and columns.
Note: This step applies specifically to Q&A (and not to Power BI reports in general). Users often have a variety of terms they use to refer to the same thing, such as total sales, net sales, total net sales. You can add these synonyms to tables and columns in the Power BI model.
This step applies specifically to Q&A (and not to Power BI reports in general). Users often have a variety of terms they use to refer to the same thing, such as total sales, net sales, total net sales. You can add these synonyms to tables and columns in the Power BI model.
Reference:
https://docs.microsoft.com/en-us/power-bi/natural-language/q-and-a-best-practices

87. Frage
......

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