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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Secure and monitor data solutions | 15-20% | - Monitor data solutions
|
| Topic 2: Design and manage the data model | 20-25% | - Implement and configure a data model
|
| Topic 3: Load and prepare data | 20-25% | - Ingest data from source systems
|
| Topic 4: Clean, transform, and enrich data | 25-30% | - Transform data
|
| Topic 5: Deploy and maintain a data solution | 10-15% | - Deploy data assets
|
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NEW QUESTION # 84
Hotspot Question
You have a Fabric tenant that contains a workspace named Workspace1. Workspace1 contains a lakehouse named Lakehouse1 and a warehouse named Warehouse1.
You need to create a new table in Warehouse1 named POSCustomers by querying the customer table in Lakehouse1.
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:
https://learn.microsoft.com/en-us/fabric/data-warehouse/clone-table#limitations
NEW QUESTION # 85
You need to resolve the issue with the pricing group classification.
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:
* You should use CREATE VIEW to make the pricing group logic available for T-SQL queries.
* The CASE statement should be used to determine the pricing group based on the list price.
The T-SQL statement should create a view that classifies products into pricing groups based on the list price.
The CASE statement is the correct conditional logic to assign each product to the appropriate pricing group.
This view will standardize the pricing group logic across different databases and semantic models.
NEW QUESTION # 86
You have a Fabric workspace named Workspace-!. You have a GitHub repository named Repol. You need to connect Workspacel to the main branch of Repol. Which information should you provide?
Answer: A
NEW QUESTION # 87
Drag and Drop Question
You are implementing two dimension tables named Customers and Products in a Fabric warehouse.
You need to create two slowly changing dimensions that meet the requirements shown in the following table.
Which type of SCD should you use for each table? To answer, drag the appropriate SCD types to the correct tables. Each SCD type 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:
Box 1: Type 2
Create a new version of the customer record while keeping the previous versions.
Slowly changing dimension type 2 is a method used in data warehousing to manage and track historical changes in dimension data. When an attribute value changes, a new record is created with a unique identifier, and the old record is retained. It allows for a complete historical record of changes over time, enabling accurate reporting and analysis based on different points in time.
Box 2: Type 1
Overwrite the existing value in the current record
Using slowly changing dimension type 1, if a record in a dimension table changes, the existing record is updated or overwritten. Otherwise, the new record is inserted into the dimension table.
This means records in the dimension table always reflect the current state, and no historical data is maintained. This design approach is common for columns that store supplementary values, like the email address or phone number of a customer. When a customer's email address or phone number changes, the dimension table updates the customer row with the new values. It's as if the customer always had this contact information.
Reference:
https://learn.microsoft.com/en-us/fabric/data-factory/slowly-changing-dimension-type-two
https://learn.microsoft.com/en-us/fabric/data-factory/slowly-changing-dimension-type-one
https://en.wikipedia.org/wiki/Slowly_changing_dimension
NEW QUESTION # 88
You have a Fabric workspace named Workspace1 and an Azure Data Lake Storage Gen2 account named storage"!. Workspace1 contains a lakehouse named Lakehouse1.
You need to create a shortcut to storage! in Lakehouse1.
Which connection and endpoint should you specify? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
When creating a shortcut to an Azure Data Lake Storage Gen2 account in a lakehouse, you should use the abfss (Azure Blob File System Secure) connection string and the dfs (Data Lake File System) endpoint. The abfss is used for secure access to Azure Data Lake Storage, and the dfs endpoint indicates that the Data Lake Storage Gen2 capabilities are to be used.
NEW QUESTION # 89
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