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| Section | Weight | Objectives |
|---|
| Design and manage the data model | 20-25% | - Design a data model
- 1. Implement dimension and fact tables
- 2. Define relationships and hierarchies
- 3. Design a star or snowflake schema
- 4. Choose appropriate data model type (lakehouse vs warehouse)
- Implement and configure a data model
- 1. Configure SQL analytics endpoint
- 2. Use DirectLake mode for large datasets
- 3. Implement row-level security (RLS)
- 4. Create and manage semantic models
|
| Secure and monitor data solutions | 15-20% | - Secure data solutions
- 1. Implement column-level and row-level security
- 2. Configure sensitive data classifications
- 3. Use Microsoft Purview for data governance
- 4. Configure workspace and item permissions
- Monitor data solutions
- 1. Use OneLake monitoring capabilities
- 2. Review and analyze capacity metrics
- 3. Implement alerting and notifications
- 4. Monitor pipeline and dataflow execution
|
| Deploy and maintain a data solution | 10-15% | - Maintain a data solution
- 1. Implement data refresh strategies
- 2. Manage workspace and capacity settings
- 3. Optimize query performance
- Deploy data assets
- 1. Implement CI/CD for Fabric items
- 2. Use deployment pipelines for development to production
- 3. Automate deployments using APIs and scripts
|
| Load and prepare data | 20-25% | - Ingest data from source systems
- 1. Configure Data Gateway for hybrid scenarios
- 2. Ingest data using PySpark or Spark SQL
- 3. Implement streaming data ingestion with Eventstream
- 4. Use Data Factory data flow for transformation
- 5. Use Data Factory copy activity for batch ingestion
- Create and configure items
- 1. Create and configurehortcuts
- 2. Create and configure Lakehouse, Warehouse, or data pipeline
- 3. Configure data processing with notebooks
|
| Clean, transform, and enrich data | 25-30% | - Enrich data
- 1. Merge and join data sources
- 2. Implement incremental data loading
- 3. Implement slowly changing dimensions (SCD)
- Clean data
- 1. Apply data cleansing techniques
- 2. Validate data quality using Data Quality Profiling
- 3. Handle missing values and duplicates
- Transform data
- 1. Perform schema evolution and mapping
- 2. Implement data standardization and normalization
- 3. Use Spark libraries for data transformation
- 4. Use Dataflow Gen2 for transformations
|
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Microsoft Implementing Analytics Solutions Using Microsoft Fabric Sample Questions (Q64-Q69):
NEW QUESTION # 64
You have a Fabric tenant that contains a warehouse named Warehouse1. Warehouse1 contains three schemas named schemaA, schemaB. and schemaC You need to ensure that a user named User1 can truncate tables in schemaA only.
How should you complete the T-SQL statement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:

GRANT ALTER ON SCHEMA::schemaA TO User1;
The ALTER permission allows a user to modify the schema of an object, and granting ALTER on a schema will allow the user to perform operations like TRUNCATE TABLE on any object within that schema. It is the correct permission to grant to User1 for truncating tables in schemaA.
References =
GRANT Schema Permissions
Permissions That Can Be Granted on a Schema
NEW QUESTION # 65
You have a query in Power Query Editor that contains two columns named Order_Date and Shipping_Date.
You need to create a column that will calculate the number of days between Order_Date and Shipping_Date for each row.
Which Power Query function should you use?
- A. Duration.Days
- B. Date.AddDays
- C. Duration.From
- D. DateTime.LocalNow
Answer: C
Explanation:
Comprehensive Detailed Explanation
Requirement
We have two columns in Power Query Editor:
Order_Date
Shipping_Date
We need to calculate the number of days between the two dates .
Step 1: How date differences work in Power Query (M language)
Subtracting two date or datetime values in Power Query returns a duration value.
Example:
[Shipping_Date] - [Order_Date]
This produces a duration such as 3.00:00:00 (3 days).
Step 2: Converting duration into days
To get the number of days as an integer, we use Duration.Days() .
Example:
Duration.Days([Shipping_Date] - [Order_Date] )
This returns 3 if the shipping date is 3 days after the order date.
Step 3: Evaluate other options
A). Duration.From # Converts a value to a duration type but does not extract the number of days.
B). Date.AddDays # Adds days to a given date, not used for calculating the difference.
C). Duration.Days # Correct, extracts total days from a duration.
D). DateTime.LocalNow # Returns the current system datetime, unrelated to this requirement.
References
Duration.Days function (Power Query M)
Working with dates in Power Query
NEW QUESTION # 66
You have a Fabric tenant.
You are creating a Fabric Data Factory pipeline.
You have a stored procedure that returns the number of active customers and their average sales for the current month.
You need to add an activity that will execute the stored procedure in a warehouse. The returned values must be available to the downstream activities of the pipeline.
Which type of activity should you add?
- A. KQL
- B. Copy data
- C. Append variable
- D. Lookup
Answer: D
Explanation:
Lookup activity reads and returns the content of a configuration file or table. It also returns the result of executing a query or stored procedure. The output can be a singleton value or an array of attributes, which can be consumed in a subsequent copy, transformation, or control flow activities like ForEach activity.
https://learn.microsoft.com/en-us/azure/data-factory/control-flow-lookup-activity
NEW QUESTION # 67
You create a semantic model by using Microsoft Power Bl Desktop. The model contains one security role named SalesRegionManager and the following tables:
* Sales
* SalesRegion
* Sales Ad dress
You need to modify the model to ensure that users assigned the SalesRegionManager role cannot see a column named Address in Sales Address.
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:

Explanation:

To ensure that users assigned the SalesRegionManager role cannot see the Address column in the SalesAddress table, follow these steps in sequence:
Open the model in Tabular Editor.
Select the Address column in SalesAddress.
Set Object Level Security to None for SalesRegionManager.
NEW QUESTION # 68
Drag and Drop Question
You have a Fabric tenant that contains a data warehouse named DW1. DW1 contains a table named DimCustomer. DimCustomer contains the fields shown in the following table.

You need to identify duplicate email addresses in DimCustomer. The solution must return a maximum of 1,000 records.
Which four T-SQL statements should you run in sequence? To answer, move the appropriate statements from the list of statements to the answer area and arrange them in the correct order.

Answer:
Explanation:

NEW QUESTION # 69
......
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