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

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Microsoft Power BI Data Analyst Sample Questions (Q111-Q116):

NEW QUESTION # 111
You plan to use Power BI to create a quarterly profit report that meets the following requirements:
* Emphasizes the percentage of total profits contributed by each product category in dollars and as a percentage
* Compares profit margins across sales regions
Which type of visual should you use for each requirement? To answer, drag the appropriate visuals to the correct requirements. Each visual 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:

Explanation:

NEW QUESTION # 112
You have the dataset 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. Configure the Sales Profit measure to use the RANKX function.
B. Add a calculated column to the table that uses the TOPN function. In the visual, replace Sales Profit with the calculated column.
C. Add a calculated column to the table that returns the city name if the city is in the top 10, otherwise the calculated column will return "Not in Top 10". In the visual, replace Sales Profit with the calculated column.
D. Add a Top N filter to the visual.

Answer: D

Explanation:
Explanation
Power BI Top N Filters are useful to display the top performing records, and Bottom N filters are helpful to display the least performing records. For example, we can display top or bottom 10 products by orders or sales.
Note:
* Select the Column you want to display the Top Sales Profit
* Then change the Filter Type of that Column to Top N
* Fill in Top / Bottom number field
* And lastly drag to the By Value filed your Sales Profit
Reference:
https://www.tutorialgateway.org/power-bi-top-10-filters/

NEW QUESTION # 113
You build a report to analyze customer transactions from a database that contains the tables shown in the following table.

You import the tables.
Which relationship should you use to link the tables?

A. one-to-one between Customer and Transaction
B. one-to-many from Customer to Transaction
C. one-to-many from Transaction to Customer
D. many-to-many between Customer and Transaction

Answer: B

Explanation:
Each customer can have many transactions.
For each transaction there is exactly one customer.

NEW QUESTION # 114
You have a Power Bl semantic model that contains the following tables.

All the tables use the same data source.
You need to reduce the number of limited relationships in the model by changing the storage mode of certain tables. The solution must NOT affect the latency of the data.
Which storage mode should you select for the Customer and Geography tables? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

NEW QUESTION # 115
Case Study 1 - Litware, Inc.
Overview
Litware, Inc. is an online retailer that uses Microsoft Power Bl dashboards and reports. The company plans to leverage data from Microsoft SQL Server databases, Microsoft Excel files, text files, and several other data sources.
Litware uses Azure Active Directory (Azure AD) to authenticate users.
Existing Environment
Sales Data
Litware has online sales data that has the SQL schema shown in the following table.

In the Date table, the dateid column has a format of yyyymmdd and the month column has a format of yyyymm. The week column in the Date table and the weekid column in the Weekly_Returns table have a format of yyyyww. The regionid column can be managed by only one sales manager.
Data Concerns
You are concerned with the quality and completeness of the sales data. You plan to verify the sales data for negative sales amounts.
Reporting Requirements
Litware identifies the following technical requirements:
- Executives require a visual that shows sales by region.
- Regional managers require a visual to analyze weekly sales and
returns.
- Sales managers must be able to see the sales data of their respective region only.
- The sales managers require a visual to analyze sales performance
versus sales targets.
- The sale department requires reports that contain the number of sales transactions.
- Users must be able to see the month in reports as shown in the
following example: Feb 2020.
- The customer service department requires a visual that can be
filtered by both sales month and ship month independently.
- The maximum allowed latency to include transactions in reports is
five minutes.
You need to create a calculated column to display the month based on the reporting requirements.
Which DAX expression should you use?

A. FORMAT('Date' [date_id], "MMM YYYY")
B. FORMAT('Date'[date_id], "MMM") & "" & FORMAT('Date'[year], "#")
C. FORMAT('Date'[date],"MMM YYYY")
D. FORMAT('Date'[date],"M YY")

Answer: C

Explanation:
"Format" is functional only on columns of type Date, 'date-id' is integer however 'date' is Date.

NEW QUESTION # 116
......

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