Microsoft AB-731 - AI Transformation Leader Exam
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Total 58 questions
Question #1 (Topic: Topic 1, Identify the business value of generative AI solutions
)
Your company plans to build a generative AI solution based on internal data.
You recommend using Microsoft Foundry as a starting point to develop and manage the solution.
What is a key benefit of using Microsoft Foundry for this project?
You recommend using Microsoft Foundry as a starting point to develop and manage the solution.
What is a key benefit of using Microsoft Foundry for this project?
A. Provides a scalable platform for developing and deploying generative AI solutions.
B. Removes the need to select or configure the underlying AI model.
C. Enables business users to build generative AI solutions.
D. Offers a low-code platform for developing generative AI solutions.
Answer: C
Question #2 (Topic: Topic 1, Identify the business value of generative AI solutions
)
HOTSPOT
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
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: 
Question #3 (Topic: Topic 1, Identify the business value of generative AI solutions
)
HOTSPOT
Select the answer that correctly completes the sentence.
Select the answer that correctly completes the sentence.
Answer: 
Question #4 (Topic: Topic 1, Identify the business value of generative AI solutions
)
Which business requirement most closely relates to grounding a generative AI model?
A. supporting multiple languages
B. measuring the number of user interactions per day
C. enabling users to interact by using natural language queries
D. ensuring that verified company data sources are used for response generation
Answer: D
Question #5 (Topic: Topic 1, Identify the business value of generative AI solutions
)
You need to create a custom Azure Machine Learning model. The data used to train the model is consistent and uniform.
What should you do first?
What should you do first?
A. Prepare the training data.
B. Evaluate the model.
C. Train the model.
D. Tune hyperparameters.
E. Deploy the model.
Answer: A
