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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Deploy and maintain a data solution | 10-15% | - Deploy data assets
|
| Topic 2: Load and prepare data | 20-25% | - Create and configure items
|
| Topic 3: Secure and monitor data solutions | 15-20% | - Monitor data solutions
|
| Topic 4: Design and manage the data model | 20-25% | - Design a data model
|
| Topic 5: Clean, transform, and enrich data | 25-30% | - Clean data
|
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NEW QUESTION # 190
You have a Microsoft Power Bl project that contains a file named definition.pbir. definition.pbir contains the following JSON.
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:
We are analyzing the JSON for definition.pbir in a Power BI Project:
{
" version " : " 1.0 " ,
" datasetReference " : {
" byPath " : {
" path " : " ../Sales.Dataset "
},
" byConnection " : null
}
}
Statement 1:
" definition.pbir is in the PBIR-Legacy format. "
No # The legacy PBIR format references datasets by byConnection (pointing to the Power BI service).
Here, it uses byPath , which is the new project format , not legacy.
Statement 2:
" The semantic model referenced by definition.pbir is located in the Power BI service. " No # The JSON shows byPath: " ../Sales.Dataset " , meaning the semantic model is referenced locally within the project folder (Sales.Dataset), not in the Power BI service.
Statement 3:
" When the related report is opened, Power BI Desktop will open the semantic model in full edit mode. " Yes # Since the semantic model is referenced by path (local PBIP project files), Power BI Desktop will open the model in full edit mode . If it had been byConnection , it would open in live connect mode to the service instead.
PBIR-Legacy format # No
Semantic model in Power BI service # No
Opens in full edit mode # Yes
References:
Power BI Project (PBIP) structure
PBIR formats: byPath vs byConnection
NEW QUESTION # 191
Shortcuts in OneLake are objects that link to other storage locations, which may be internal or external to OneLake. What are two places you can create shortcuts in fabric? (Select 2)
Answer: A,B
Explanation:
Option A is correct because fabric allows you to create shortcuts within Lakehouses. This functionality is particularly useful as it provides a streamlined way to organize and manage data within a Lakehouse environment. By using these shortcuts, you can efficiently point to other storage locations, thereby enhancing accessibility and reducing the complexity of data retrieval.
Option B is correct because when you create a KQL database, a Shortcuts folder is automatically present. This folder is integral to the organization of the database, allowing users to create shortcuts that facilitate easy access to various data points and resources within the database.
Reference:
https://learn.microsoft.com/en-us/fabric/onelake/onelake-shortcuts
NEW QUESTION # 192
What is the primary use of DAX Studio and how does Tabular Editor complement its functionality in Power BI Desktop?
Answer: D
Explanation:
Option A is CORRECT because DAX Studio is used for DAX query execution and performance analysis, providing tools for query optimization. Tabular Editor is used for managing and editing tabular models, offering a streamlined interface for model creators.
Reference:
https://learn.microsoft.com/en-us/power-bi/transform-model/desktop-external-tools
NEW QUESTION # 193
You have source data in a CSV file that has the following fields:
* SalesTra nsactionl D
* SaleDate
* CustomerCode
* CustomerName
* CustomerAddress
* ProductCode
* ProductName
* Quantity
* UnitPrice
You plan to implement a star schema for the tables in WH1. Thedimension tables in WH1 will implement Type 2 slowly changing dimension (SCD) logic.
You need to design the tables that will be used for sales transaction analysis and load the source data.
Which type of target table should you specify for the CustomerName, CustomerCode, and SaleDate fields?
To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
We are designing a star schema for sales transactions. In a star schema:
Dimension tables contain descriptive attributes (e.g., Customer, Product, Date).
Fact tables contain measurable, quantitative data (e.g., SalesTransactionID, Quantity, UnitPrice).
Factless fact tables capture events without numeric measures.
Junk dimensions store miscellaneous low-cardinality attributes.
The requirement says dimension tables will use Type 2 Slowly Changing Dimensions (SCD) # so Customer and Date attributes belong to Dimension tables.
Field-by-field classification
CustomerCode
A business key (natural key) for the customer dimension.
Belongs in the Customer Dimension table.
answer: Dimension.
CustomerName
A descriptive attribute of the customer.
Belongs in the Customer Dimension table.
answer: Dimension.
SaleDate
A time attribute used for analysis.
Belongs in the Date Dimension table.
answer: Dimension.
Final Answer:
CustomerCode # Dimension
CustomerName # Dimension
SaleDate # Dimension
References:
Star schema design for Power BI / Fabric
Slowly Changing Dimensions in data warehousing
# This follows Kimball's star schema best practices.
NEW QUESTION # 194
You have a Fabric warehouse that contains a table named Table1. Table1 contains three columns named SalesAmount, ProductCategory, and TransactionDate.
You need to create a Microsoft Power BI query that will calculate the total sales amount of each product category for transactions that occurred during the last quarter.
Which two actions should you perform in the visual query editor? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Answer: A,E
Explanation:
Reference:
https://learn.microsoft.com/en-us/power-bi/create-reports/service-aggregates
NEW QUESTION # 195
......
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