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| Section | Weight | Objectives |
|---|---|---|
| Prepare the data | 15-20% | - Get data from data sources
|
| Visualize and analyze data | 25-35% | - Enhance reports for usability
|
| Model the data | 30-40% | - Design a data model
|
| Deploy and maintain assets | 15-20% | - Secure and monitor Power BI
|
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NEW QUESTION # 370
You need to create a DAX measure in the data model that only allows users to see projections at the appropriate levels of granularity.
How should you complete the measure? To answer, drag the appropriate val ues 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:
Scenario: Revenue projections are set at the monthly level and summed to show projections for the quarter.
Box 1: IF
Box 2: ISFILTERED
ISFILTERED returns TRUE when columnName is being filtered directly. If there is no filter on the column or if the filtering happens because a different column in the same table or in a related table is being filtered then the function returns FALSE.
Box 3: SUM
Reference:
https://docs.microsoft.com/en-us/dax/isfiltered-function-dax
NEW QUESTION # 371
You have a Power Bl workspace that contains a single-page report named Sales.
You need to add all the visuals from Sales to a dashboard. The solution must ensure that additional visuals added to the page are added automatically to the dashboard.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
1 - Open powerbi.com
2 - Select sales report
3 - Pin the page
NEW QUESTION # 372
You have the visual shown in the Original exhibit. {Click the Original tab.)
You need to configure the visual as shown in the Modified exhibit. (Click the Modified tab.)
What should you add to the visual?
Answer: B
Explanation:
Explore forecast results by adjusting the desired confidence interval or by adjusting outlier data to see how they affect results.
Reference:
https://powerbi.microsoft.com/fr-fr/blog/introducing-new-forecasting-capabilities-in-power-view-for-office-365/
NEW QUESTION # 373
Hotspot Question
You plan to create a Power BI semantic model named Model1 that will contain data from an Azure SQL database.
Model1 will have the following tables.
You create DimDate and DimProduct by using import storage mode.
You need to configure the storage mode for each remaining table. The solution must meet the following requirements:
- The data in FactSales must be available within five minutes of being
available in the source data.
- The query response time for reports connected to the model must be
minimized.
Which storage mode should you configure for each table? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: Import
Import is the best storage mode for the Customer table in this scenario.
For a table with 0.5 million rows updated only once a day, Import mode offers the best balance of performance and functionality.
Why Import is the Best Choice
Performance: Data is stored in-memory using the VertiPaq engine, providing the fastest query response times compared to DirectQuery.
Manageable Size: A 0.5 million-row table is relatively small for Power BI's compression engine and will easily fit within the memory limits of even a Pro license (1 GB).
Update Frequency: Since the table is updated only daily, the near real-time capabilities of DirectQuery are unnecessary. A single scheduled refresh per day is sufficient to keep the data current.
Full DAX Support: Import mode supports the complete range of Data Analysis Expressions (DAX) and Power Query transformations, which are often restricted in DirectQuery.
Box 2: DirectQuery
For a FactSales table with 500 million rows that is updated once a minute, the best storage mode is DirectQuery.
Why DirectQuery is the optimal choice:
Real-time Data Freshness: Because the table updates every minute, Import mode is impractical; it would require constant, resource-intensive refreshes that likely couldn't keep up with a one- minute interval.
Large Data Volume: Handling 500 million rows in Import mode can lead to significant memory consumption and potentially exceed the 1 GB dataset limit for Power BI Pro. DirectQuery leaves the data in the source Azure SQL database, avoiding these local storage constraints.
Optimized Performance (Composite Model): By setting the FactSales table to DirectQuery and the small, static Dimension tables (Date and Product) to Import, you create a Composite Model.
This allows Power BI to cache the dimension data for fast slicing and dicing while querying the FactSales table in real-time only when necessary.
Box 3: Import
The best storage mode for the Fact Marketing table is Import.
Here is a breakdown of why Import mode is best compared to DirectQuery or Dual:
Size and Performance: The table has only 10 thousand rows, which is a very small dataset for Power BI's high-performance in-memory engine (VertiPaq). Data in Import mode is cached in memory, providing lightning-fast query performance when users interact with reports.
Update Frequency: The table is updated daily, which works well with scheduled refreshes in Import mode. Real-time data is not required, as is the case with the main Fact Sales table which updates every minute and uses DirectQuery.
Composite Model Interaction: The overall model is a composite model with the large Fact Sales table in DirectQuery mode. When small, relatively static tables (like your dimension tables and this small fact table) are set to Import, Power BI can generate efficient native SQL queries and optimize performance by leveraging cached data for those parts of the query.
Reference:
https://www.excelgoodies.com/blog/import-vs-directquery-vs-live-connection-power-bi-guide
https://www.thedataschool.co.uk/zainul-abedin-natha/power-bi-storage-modes-explained-import- directquery-and-dual
NEW QUESTION # 374 
Each Region value appears only on the tow where it first occurred. Each subsequent occurrence of the Region value is blank.
You need to ensure that every row contains the connect non-blank value The solution must minimize development effort.
Which column should you select, and which action should you perform on the column? To answer, select the appropriate options in the answer are a. NOTE; Each connect selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 375
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