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| Section | Objectives |
|---|---|
| Topic 1: Real-time analytics | - Streaming and event processing
|
| Topic 2: Get data into Microsoft Fabric | - Data ingestion and integration
|
| Topic 3: Implement data engineering solutions | - Lakehouse architecture
|
| Topic 4: Implement analytics solutions | - Data warehousing and modeling
|
| Topic 5: Manage and secure Microsoft Fabric | - Governance and administration
|
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NEW QUESTION # 139
Hotspot Question
You have a Fabric tenant that contains a warehouse named Warehouse1. Warehouse1 contains a fact table named FactSales that has one billion rows.
You run the following T-SQL statement.
CREATE TABLE test.FactSales AS CLONE OF dbo.FactSales;
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:
https://learn.microsoft.com/en-us/sql/t-sql/statements/create-table-as-clone-of-transact- sql?view=fabric&preserve-view=true Creates a new table as a zero-copy clone of another table in Warehouse in Microsoft Fabric. Only the metadata of the table is copied. The underlying data of the table, stored as parquet files, is not copied.
https://learn.microsoft.com/en-us/fabric/data-warehouse/clone-table
Separate and independent
Upon creation, a table clone is an independent and separate copy of the data from its source.
Any changes made through DML or DDL on the source of the clone table are not reflected in the clone table.Similarly, any changes made through DDL or DML on the table clone are not reflected on the source of the clone table.
NEW QUESTION # 140
You have a semantic model named Model 1. Model 1 contains five tables that all use Import mode. Model1 contains a dynamic row-level security (RLS) role named HR. The HR role filters employee data so that HR managers only see the data of the department to which they are assigned.
You publish Model1 to a Fabric tenant and configure RLS role membership. You share the model and related reports to users.
An HR manager reports that the data they see in a report is incomplete.
What should you do to validate the data seen by the HR Manager?
Answer: A
Explanation:
To validate the data seen by the HR manager, you should use the 'Test as role' feature in Power BI service. This allows you to see the data exactly as it would appear for the HR role, considering the dynamic RLS setup. Here is how you would proceed:
Navigate to the Power BI service and locate Model1.
Access the dataset settings for Model1.
Find the security/RLS settings where you configured the roles.
Use the 'Test as role' feature to simulate the report viewing experience as the HR role.
Review the data and the filters applied to ensure that the RLS is functioning correctly.
If discrepancies are found, adjust the RLS expressions or the role membership as needed.
NEW QUESTION # 141
You have a Fabric tenant tha1 contains a takehouse named Lakehouse1. Lakehouse1 contains a Delta table named Customer.
When you query Customer, you discover that the query is slow to execute. You suspect that maintenance was NOT performed on the table.
You need to identify whether maintenance tasks were performed on Customer.
Solution: You run the following Spark SQL statement:
EXPLAIN TABLE customer
Does this meet the goal?
Answer: A
Explanation:
No, the EXPLAIN TABLE statement does not identify whether maintenance tasks were performed on a table.
It shows the execution plan for a query. References = The usage and output of the EXPLAIN command can be found in the Spark SQL documentation.
NEW QUESTION # 142
You have a Fabric workspace named Workspace1 that contains a warehouse named Warehouse1 and a lakehouse named Lakehouse1. Warehouse1 contains a table named Table1.
Lakehouse1 contains a delta table named Table2.
You need to persist data from Table1 to Table2. The solution must use a low-code interface.
What should you do?
Answer: D
Explanation:
To persist data from a Synapse Data Warehouse to a Lakehouse in Microsoft Fabric using a low- code approach, Dataflow Gen2 is the optimal tool. It provides a Power Query-based interface for data transformation and loading.
Reference:
https://www.waferwire.com/blog/create-tables-fabric-lakehouse
NEW QUESTION # 143
You are analyzing the data in a Fabric notebook.
You have a Spark DataFrame assigned to a variable named df.
You need to use the Chart view in the notebook to explore the data manually.
Which function should you run to make the data available in the Chart view?
Answer: B
Explanation:
The display function is the correct choice to make the data available in the Chart view within a Fabric notebook. This function is used to visualize Spark DataFrames in various formats including charts and graphs directly within the notebook environment. References = Further explanation of the display function can be found in the official documentation on Azure Synapse Analytics notebooks.
NEW QUESTION # 144
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