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Microsoft PL-300 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Prepare the data	25-30%	- Get or connect to data 1. Create and modify parameters 2. Identify and connect to data sources or shared semantic models 3. Configure data source settings, credentials, and privacy levels 4. Choose storage modes: Import, DirectQuery, DirectLake - Profile and clean data 1. Evaluate data statistics and column properties 2. Resolve inconsistencies, null values, and errors 3. Transform data using Power Query Editor 4. Manage data types, columns, and rows - Load and configure data 1. Define table structures and properties 2. Configure data refresh settings 3. Integrate data from multiple sources
Topic 2: Model the data	25-30%	- Optimize model performance 1. Optimize relationships and calculations 2. Use aggregations and composite models 3. Reduce cardinality and data size - Design data models 1. Create common date tables 2. Define tables, columns, and hierarchies 3. Create relationships: cardinality, cross-filter direction, security 4. Implement role-playing dimensions - Create model calculations 1. Use DAX: calculated columns, calculated tables, measures 2. Implement aggregation and time intelligence 3. Use CALCULATE and filter context
Topic 3: Visualize and analyze data	25-30%	- Create reports and dashboards 1. Choose appropriate visualizations 2. Create dashboards and pinned elements 3. Apply filters, slicers, and drill-through 4. Design report layout, formatting, and interactivity - Enhance reports with analytics 1. Create paginated reports 2. Apply conditional formatting and custom visuals 3. Use AI visuals, forecasts, and key influencers - Perform data analysis 1. Create and manage bookmarks and tooltips 2. Implement custom visuals and R/Python scripts 3. Interpret results and identify trends
Topic 4: Manage and secure Power BI	15-20%	- Implement security and governance 1. Configure row-level security (RLS) and object-level security 2. Apply data sensitivity labels and protection 3. Manage permissions and access - Manage workspaces and assets 1. Create and configure workspaces 2. Manage data refresh and scheduled updates 3. Publish, update, and organize reports/datasets - Deploy and distribute content 1. Share reports, dashboards, and apps 2. Embed content in applications or websites 3. Monitor usage and performance

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Microsoft Power BI Data Analyst Sample Questions (Q11-Q16):

NEW QUESTION # 11
In Power Query Editor, you have a query named Sales Data that contains the following columns.

You ne ed to create two queries named Product Dimension and Sales Fact based on the Sales Data query. The solution must minimize maintenance effort and the site of the semantic model.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE Each correct selection is worth one point.

A. Disable the load for the sa les Data query.
B. Disable the load for the Sales Fact query.
C. Reference the Sales Data query to create the new queries.
D. Clear Include in report refresh for the Sales Data query.
E. Duplicate the Sates Data query to create the new queries.

Answer: C,D

NEW QUESTION # 12
You publish the semantic model to powerbi.com.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Topic 1, Litware, Inc.
Overview
This is a case study. Case studies are not timed separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam. You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.
To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other questions in this case study.
At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next section of the exam. After you begin a new section, you cannot return to this section.
To start the case study
To display the first question in this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment and problem statements. If the case study has an All Information tab, note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the Question button to return to the question.
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.

NEW QUESTION # 13
You have the Azure SQL databases shown in the following table.

You plan to build a single PBIX file to meet the following requirements:
* Data must be consumed from the database that corresponds to each stage of the development lifecycle.
* Power Bl deployment pipelines must NOT be used.
* The solution must minimize administrative effort.
What should you do? To answer, select the appropriate options in the answer area.

Answer:

Explanation:

Explanation

NEW QUESTION # 14
You are building a Power Bl report that uses data from an Azure SQL database named erp1.
You Import the following tables.

You need to perform the following analyses:
* Orders sold over time that include a measure of the total order value
* Orders by attributes of products sold
The solution must minimize update times when interacting with visuals in the report. What should you do first?

A. Create a calculated column that adds a list of product categories to the Orders table by using a DAX function.
B. Calculate the count of orders per product by using a DAX function.
C. From Power Query, merge the Orders query and the Order Line Hems query.
D. From Power Query, merge the Order Line Items query and the Products query.

Answer: D

Explanation:
https://www.sqlbi.com/articles/header-detail-vs-star-schema-models-in-tabular-and-power-bi/

NEW QUESTION # 15
You are profiling data by using Power Query Editor.
You have a table named Reports that contains a column named State. The distribution and quality data metrics for the data m State is 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

NEW QUESTION # 16
......

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