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NEW QUESTION # 201
You need to migrate the Research division data for Productline2. The solution must meet the data preparation requirements. How should you complete the code? To answer, select the appropriate options in the answer area NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Comprehensive Detailed Explanation
From the case study:
Research division data for Productline2 is currently in CSV format in storage2.
Requirement: "All the Research division data in the lakehouses must be presented as managed tables in Lakehouse explorer." In Fabric lakehouses, managed tables are stored in Delta format inside the Tables folder.
Step 1: Reading the source
df = spark.read.format("csv") \
options(header="true", inferSchema="true") \
load("abfss://storage1.dfs.core.windows.net/files/productline2")
This correctly ingests the CSV source from ADLS Gen2.
Step 2: Writing to Lakehouse as a managed table
You must write the data in Delta format to ensure it is queryable and managed within the lakehouse.
The correct path is under Tables/, because this is where Fabric automatically manages Lakehouse managed tables.
The target table should be named productline2, so the correct path is:
df.write.mode("overwrite").format("delta").save("Tables/productline2")
Why not other options?
CSV or Parquet formats would not create a managed Lakehouse table; they would just create files.
Writing to productline2 directly (without Tables/) would store unmanaged files in the Lakehouse Files area, not managed tables.
Writing to Tables/research/productline2 adds an unnecessary subdirectory and is not the standard structure for managed tables.
Correct Final Code
df.write.mode("overwrite").format("delta").save("Tables/productline2")
References
Managed tables in Microsoft Fabric Lakehouse
Delta Lake support in Fabric
Spark write to Lakehouse
NEW QUESTION # 202
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have a Fabric tenant that contains a semantic model named Model1.
You discover that the following query performs slowly against Model1.
You need to reduce the execution time of the query.
Solution: You replace line 4 by using the following code:
Does this meet the goal?
Answer: B
Explanation:
ISEMPTY(CALCULATETABLE('Order Item')) checks if there are no related rows in 'Order Item' for a customer. Wrapping this in NOT returns true if the customer has at least one order. This avoids calculating row counts and instead just checks existence, which is more efficient for performance. This reduces execution time and meets the goal.
NEW QUESTION # 203
You have a Fabric tenant that contains a workspace named Workspace"!. You plan to deploy a semantic model named Model 1 by using the XMLA endpoint.
You need to optimize the deployment of Model!. The solution must minimize how long it takes to deploy Modell. What should you do in Workspace1?
Answer: B
NEW QUESTION # 204
You have a Fabric warehouse that contains a table named SalesOrderDetail. SalesOrderDetail contains three columns named OrderQty, ProductID and SalesOrderlD. SalesOrderDetail contains one row per combination of SalesOrderlD and ProductID.
You need to calculate the proportion of the total quantity of each sales order represented by each product within the sales order.
Which T-SQL statement should you run?
Answer: B
NEW QUESTION # 205
Hotspot Question
You have a Fabric tenant that contains a workspace named Workspace1. Workspace1 contains a warehouse named DW1. DW1 contains two tables named Employees and Sales. All users have read access to Dw1.
You need to implement access controls to meet the following requirements:
- For the Sales table, ensure that the users can see only the sales
data from their respective region.
- For the Employees table, restrict access to all Personally
Identifiable Information (PII).
- Maintain access to unrestricted data for all the users.
What should you use for each table? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 206
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