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NEW QUESTION 116
You have an Azure key vault named KeyVault1 that contains secrets. You have a Fabric workspace named Workspace1. Workspace contains a notebook named Notebook1 that performs the following tasks:
– Loads stage data to the target tables in a lakehouse.
– Triggers the refresh of a semantic model.
You plan to add functionality to Notebook1 that will use the Fabric API to monitor the semantic model refreshes. You need to retrieve the registered application ID and secret from KeyVault1 to generate the authentication token.
Solution: You use the following code segment: Use notebookutils.credentials.putSecret and specify the key vault URL and key vault secret.
Does this meet the goal?

A.    Yes
B.    No

Answer: B
Explanation:
You need to retrieve the registered application ID and secret from KeyVault1 to generate the authentication token. The function notebookutils.credentials.putSecret is used to store a secret into a secret scope – not retrieve it.

NEW QUESTION 117
You have an Azure key vault named KeyVault1 that contains secrets. You have a Fabric workspace named Workspace1. Workspace contains a notebook named Notebook1 that performs the following tasks:
– Loads stage data to the target tables in a lakehouse.
– Triggers the refresh of a semantic model.
You plan to add functionality to Notebook1 that will use the Fabric API to monitor the semantic model refreshes. You need to retrieve the registered application ID and secret from KeyVault1 to generate the authentication token.
Solution: You use the following code segment: Use notebookutils.credentials.getSecret and specify the key vault URL and the name of a linked service.
Does this meet the goal?

A.    Yes
B.    No

Answer: A

NEW QUESTION 118
You have a Fabric workspace named Workspace1 that contains the following items:
– A Microsoft Power BI report named Report1.
– A Power BI dashboard named Dashboard1.
– A semantic model named Model1.
– A lakehouse name Lakehouse1.
Your company requires that specific governance processes be implemented for the items. Which items can you endorse in Fabric?

A.    Lakehouse1, Model1, and Dashboard1 only.
B.    Lakehouse1, Model1, Report1 and Dashboard1.
C.    Report1 and Dashboard1 only.
D.    Model1, Report1, and Dashboard1 only.
E.    Lakehouse1, Model1, and Report1 only.

Answer: E

NEW QUESTION 119
You have a Fabric workspace named Workspace1. Your company acquires GitHub licenses. You need to configure source control for Workpace1 to use GitHub. The solution must follow the principle of least privilege. Which permissions do you require to ensure that you can commit code to GitHub?

A.    Actions (Read and write) and Contents (Read and write).
B.    Actions (Read and write) only.
C.    Contents (Read and write) only.
D.    Contents (Read) and Commit statuses (Read and write).

Answer: C
Explanation:
For option C – Contents (Read and write):
– Allows reading repository content.
– Allows pushing commits, creating branches, updating files – everything you need to commit code.

NEW QUESTION 120
You have a Fabric workspace that contains a lakehouse and a semantic model named Model1. You use a notebook named Notebook1 to ingest and transform data from an external data source. You need to execute Notebook1 as part of a data pipeline named Pipeline1. The process must meet the following requirements:
– Run daily at 07:00 AM UTC.
– Attempt to retry Notebook1 twice if the notebook fails.
– After Notebook1 executes successfully, refresh Model1.
Which three actions should you perform? (Each correct answer presents part of the solution. Choose three.)

A.    Place the Semantic model refresh activity after the Notebook activity and link the activities by using the On success condition.
B.    From the Schedule settings of Pipeline1, set the time zone to UTC.
C.    Set the Retry setting of the Notebook activity to 2.
D.    From the Schedule settings of Notebook1, set the time zone to UTC.
E.    Set the Retry setting of the Semantic model refresh activity to 2.
F.    Place the Semantic model refresh activity after the Notebook activity and link the activities by using an On completion condition.

Answer: ABC

NEW QUESTION 121
You have a Fabric warehouse named DW1 that contains a Type 2 slowly changing dimension (SCD) dimension table named DimCustomer. DimCustomer contains 100 columns and 20 million rows. The columns are of various data types, including int, varchar, date, and varbinary. You need to identify incoming changes to the table and update the records when there is a change. The solution must minimize resource consumption. What should you use to identify changes to attributes?

A.    A hash function to compare the attributes in the source table.
B.    A direct attributes comparison across the attributes in the DimCustomer table.
C.    A direct attributes comparison for the attributes in the source table.
D.    A hash function to compare the attributes in the DimCustomer table.

Answer: D
Explanation:
Implementing a Type 2 Slowly Changing Dimension (SCD) with a hash value is a common technique used to efficiently track changes in dimension data while reducing the need for excessive updates and comparisons. In this approach, you use a hash value to quickly determine if a record has changed, and if it has, you create a new version of the record with updated attributes.