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Microsoft PL-300 Exam Syllabus Topics:

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

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Microsoft Power BI Data Analyst Sample Questions (Q133-Q138):

NEW QUESTION # 133
You have a Power Bl table named Customer that contains a field named Email Address.
You discover that multiple records contain the same email address.
You need to create a calculated column to identify which records have duplicate email addresses.
How should you complete the OAX expression for the calculated column? To answer, drag the appropriate values to the correct targets. Each value 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:

You are to count the number of rows having same email address.
1. Declare a variable and call it any name you prefer
2. Calculate the row count on the table
3. Apply filter to ALL of the values in the table under the column name email address and equate it to the variable.
You may need to read up filter functions for a proper understanding of how it works.

NEW QUESTION # 134
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:

NEW QUESTION # 135
You publish the dataset 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:

NEW QUESTION # 136
You are creating a line chart in a Power Bl report as 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:
see the explanation for the answer.
Explanation:
Answer as selected

NEW QUESTION # 137
Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is the same in each question in this series.
You have a Microsoft SQL Server database that contains the following tables.

The following columns contain date information:
- Date[Month] in the mmyyyy format
- Date[Date_ID] in the ddmmyyyy format
- Date[Date_name] in the mm/dd/yyyy format
- Monthly_returns[Month_ID] in the mmyyyy format
The Order table contains more than one million rows.
The Store table has a relationship to the Monthly_returns table on the Store_ID column. This is the only relationship between the tables.
You plan to use Power BI Desktop to create an analytics solution for the data.
You need to create a relationship between the Monthly_returns table and Date[Date_ID].
What should you do before you create the relationship?

A. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID]) DAX formula.
B. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD]) DAX formula.
C. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
D. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy format.

Answer: D

Explanation:
References:
https://docs.microsoft.com/en-us/power-bi/desktop-create-and-manage-relationships

NEW QUESTION # 138
......

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