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| Section | Weight | Objectives |
|---|
| Model the data | 25-30% | - Design data models
- 1. Define tables, columns, and hierarchies
- 2. Implement role-playing dimensions
- 3. Create common date tables
- 4. Create relationships: cardinality, cross-filter direction, security
- Create model calculations
- 1. Use DAX: calculated columns, calculated tables, measures
- 2. Use CALCULATE and filter context
- 3. Implement aggregation and time intelligence
- Optimize model performance
- 1. Optimize relationships and calculations
- 2. Use aggregations and composite models
- 3. Reduce cardinality and data size
|
| Prepare the data | 25-30% | - Get or connect to data
- 1. Create and modify parameters
- 2. Configure data source settings, credentials, and privacy levels
- 3. Choose storage modes: Import, DirectQuery, DirectLake
- 4. Identify and connect to data sources or shared semantic models
- 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. Evaluate data statistics and column properties
- 2. Manage data types, columns, and rows
- 3. Resolve inconsistencies, null values, and errors
- 4. Transform data using Power Query Editor
|
| Visualize and analyze data | 25-30% | - Create reports and dashboards
- 1. Design report layout, formatting, and interactivity
- 2. Choose appropriate visualizations
- 3. Create dashboards and pinned elements
- 4. Apply filters, slicers, and drill-through
- Enhance reports with analytics
- 1. Use AI visuals, forecasts, and key influencers
- 2. Create paginated reports
- 3. Apply conditional formatting and custom visuals
- Perform data analysis
- 1. Implement custom visuals and R/Python scripts
- 2. Interpret results and identify trends
- 3. Create and manage bookmarks and tooltips
|
| Manage and secure Power BI | 15-20% | - Implement security and governance
- 1. Apply data sensitivity labels and protection
- 2. Configure row-level security (RLS) and object-level security
- 3. Manage permissions and access
- Deploy and distribute content
- 1. Monitor usage and performance
- 2. Embed content in applications or websites
- 3. Share reports, dashboards, and apps
- Manage workspaces and assets
- 1. Manage data refresh and scheduled updates
- 2. Create and configure workspaces
- 3. Publish, update, and organize reports/datasets
|
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Microsoft Power BI Data Analyst Sample Questions (Q161-Q166):
NEW QUESTION # 161
You have a folder of monthly transaction extracts.
You plan to create a report to analyze the transaction data.
You receive the following email message: "Hi. I've put 24 files of monthly transaction data onto the shared drive. File Transactions201901.csv through Transactions201912.csv have the latest set of columns, but files Transactions201801.csv to Transactions201812.csv have an older layout without the extra fields needed for analysis. Each file contains 10 to 50 transactions." You get data from the folder and select Combine & Load. The Combine Files dialog box is shown in the exhibit. (Click the Exhibit tab.)

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 # 162
You have a dataset that has the permissions shown in the following exhibit.

Answer:
Explanation:
Answer as selected.

NEW QUESTION # 163
You need to create a relationship in the dataset for RLS.
What should you do? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:
Text Description automatically generated

Box 1: many-to-one
Each employee in the Sales Employees table is assigned to one sales region. Multiple employees can be assigned to each region.
The Suppliers table has a Region column.
Box 2: Suppliers table
NEW QUESTION # 164
Your company has affiliates who help the company acquire customers.
You build a report for the affiliate managers at the company to assist them in understanding affiliate performance.
The managers request a visual showing the total sales value of the latest 50 transactions for each affiliate. You have a data model that contains the following tables.

You need to develop a measure to support the visual.
How should you complete the DAX expression? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:
Box 1: CALCULATE
Start with CALCULATE and use a SUMX.
CALCULATE evaluates an expression in a modified filter context.
Box 2: SUM
Box 3: TOPN
TOPN returns the top N rows of the specified table.
Box 4: [TransactionDate]
TOPN Syntax: TOPN(<n_value>, <table>, <orderBy_expression>, [<order>[, <orderBy_expression>,
[<order>]]...])
The orderBy_expression: Any DAX expression where the result value is used to sort the table and it is evaluated for each row of table.
Reference:
https://docs.microsoft.com/en-us/dax/topn-function-dax
NEW QUESTION # 165
You are creating a Microsoft Power Bl imported data model to perform basket analysis. The goal of the analysis is to identify which products are usually bought together in the same transaction across and within sales territories.
You import a fact table named Sales as shown in the exhibit. (Click the Exhibit tab.)

The related dimension tables are imported into the model.
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:

Explanation:

Reference:
https://finance-bi.com/power-bi-basket-analysis/
NEW QUESTION # 166
......
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