Question 1

What is the role of Delta Lake in a Microsoft Fabric data pipeline?

Options :

A : Provide advanced data visualization capabilities

B : Enable ACID transactions and versioned data

C : Transform raw data into ready-to-use formats

D : Optimize query performance with caching

Answer: B

Question 2

Which process is essential for handling model drift in machine learning workflows?

Options :

A : Hyperparameter tuning

B : Scaling the data

C : Model retraining

D : Feature selection

Answer: C

Question 3

Which practice is beneficial for maintaining optimal performance in analytics workflows?

Options :

A : Regularly reviewing and updating data models

B : Running all queries without caching

C : Implementing load balancing

D : Avoiding query optimization

Answer: C

Question 4

What is the role of monitoring in identifying workflow bottlenecks in Microsoft Fabric?

Options :

A : It prevents unauthorized access to sensitive data

B : It automatically fixes workflow bottlenecks

C : It helps enforce data security policies

D : It helps detect delays in data processing and provides insights into resource allocation

Answer: D

Question 5

Which of the following actions can be automated using Azure Data Factory in Microsoft Fabric?

Options :

A : Machine learning model prediction

B : Data ingestion from SQL databases

C : Data synchronization with Power BI

D : Data transformations in real-time

E : Data pipeline execution

Answer: B,E

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