Exam PL-300 Material | PL-300 Certification Test Answers

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Microsoft PL-300 Exam Syllabus Topics:

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

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Microsoft Power BI Data Analyst Sample Questions (Q115-Q120):

NEW QUESTION # 115
For the sales department at your company, you publish a Power Bl report that imports data from a Microsoft Excel We located in a Microsoft SharePoint folder The data model contains several measures You need to create a Power Bl report from the existing dat a. The solution must minimize development effort. Which type ol data source should you use?

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

Answer: D

Explanation:
case states there is already a report published and the datamodel contains measures. therefore and to be able to use the measures in the datamodel you should connect to the existing dataset (which was created when you plublished the report) instead of starting from scratch with the files in the SharePoint folder.

NEW QUESTION # 116
You have a Power BI imported dataset that contains the data model 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:
- cross filter direction
- star schema

NEW QUESTION # 117
You use Power Query to import two tables named Order Header and Order Details from an Azure SQL database. The Order Header table relates to the Order Details table by using a column named Order ID in each table.
You need to combine the tables into a single query that contains the unique columns of each table.
What should you select in Power Query Editor?

A. Combine files
B. Append queries
C. Merge queries

Answer: C

NEW QUESTION # 118
You have a source that contains a comumn. The column contains case sensitive date. You have a Power BI semantic model in DirectQuery mode. You connect to the model and discover that it contains undefined values and errors. You need to resolve the issue.
Solution: You Normalize casing in the source query or Power Query Editor.
Does this meet the goal?

A. Yes
B. No

Answer: A

Explanation:
Select A (Yes). The proposed action - You Normalize casing in the source query or Power Query Editor - satisfies the stated goal. The scenario is asking for a way to evaluate whether this proposal meets the goal:
You Normalize casing in the source query or Power Query Editor. The M transformation belongs in the query pipeline, where source values can be cleaned, split, filled, renamed, or typed consistently. A report visual or DAX measure would operate too late in the process. This directly matches the current study-guide objective " Resolve inconsistencies, unexpected or null values, and data quality issues " . A visual, measure, or model relationship cannot repair the incoming tabular shape; those features operate after the query result has already been loaded.
Microsoft Learn reference: https://learn.microsoft.com/en-us/power-query/best-practices | PL-300 objective: " Resolve inconsistencies, unexpected or null values, and data quality issues " | Study guide: https://learn.
microsoft.com/en-us/credentials/certifications/resources/study-guides/pl-300

NEW QUESTION # 119
You have a CSV file that contains user complaints. The file contains a column named Logged logged contains the date and time each complaint occurred. The data in Logged is m the following format: 2018-12-31 at 08:
59.
You need to be able to analyze the complaints by the logged date and use a built-in date hierarchy.
What should you do?

A. Create a column by example that starts with 2018-12-31 and set the data type of the new column to Date
B. Create a column by example that starts with 2018-12-31.
C. Apply the parse function from the Date transformations options to the Logged column.
D. Add a conditional column that outputs 2018 if the Logged column starts with 2018 and set the data type of the new column to Whole Number.

Answer: B

NEW QUESTION # 120
......

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