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Microsoft PL-300 Exam Syllabus Topics:

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

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Microsoft Power BI Data Analyst Sample Questions (Q175-Q180):

NEW QUESTION # 175
The tables have the following relationships.

You have 100 salespeople in 10,000 cities. Each salesperson sells in multiple cities.
You import one million rows into the Sales table.
You need to reduce the size of Modell. The solution must ensure that you can analyze the total number of sales by salesperson per city.
Solution: You remove the ProductID column from the Sales table.
Does this meet the goal?

A. No
B. Yes

Answer: B

NEW QUESTION # 176
You have the Power Bi dashboard shown in the Dashboard exhibit (Click the Dashboard tab.)
You need to ensure that when users view the dashboard on a mobile device, the dashboard appears as shown in the Mobile exhibit.
(Click the Mobile tab.) What should you do?
To answer, select the appropriate options m the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

NEW QUESTION # 177
For the sales department at your company, you publish a Power Bl report and a semantic model that imports data from a Microsoft Excel file located in a Microsoft SharePoint folder. The semantic model contains several measures.
You need to create a new Power Bl report from the existing data that will use many of the measures created in the initial Power Bl semantic model. The solution must minimize development effort.
Which type of data source should you use?

A. an Excel workbook
B. Power Bl dataflows
C. a ShaiePoint folder
D. Power Bl dataset

Answer: C

NEW QUESTION # 178
You have a Power Bi report for the procurement department. The report contains data from the following tables.

There is a one-to-many relationship from Suppliers to Lineitems that uses the ID and Supplier ID columns.
The report contains the visuals shown in the following table.

You need to minimize the size of the dataset without affecting the visuals. What should you do?

A. Remove the Lineitems[Description] column.
B. Remove the rows from Lineitems where LineItems[invoice Date] is before the beginning of last month
C. Group Lineltems by Lineitems[ invoice id) and Lineitems[invoice Date) with a sum of Lineitems(price).
D. Merge Suppliers and Uneltems.

Answer: A

NEW QUESTION # 179
You have the data lineage shown in the following exhibit.

Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

Box 1: CONTOSO BIKES report
Box 2: three datasets
Images, tweets and the Contoso datasets.

NEW QUESTION # 180
......

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