Question 1

An AI transformation lead notices that their Azure OpenAI–based assistant often jumps straight to a recommendation without explaining why. For risk and compliance reasons, the business needs the model to show its intermediate reasoning steps so humans can review the logic.Which prompt engineering change best addresses this requirement?

Options :

A : Add instructions like “Think step by step and show your reasoning before the final answer”

B : Only increase the maximum tokens allowed for the response

C : Remove all system instructions and rely on the model defaults

D : Ask users to add extra questions manually when they want more detail

Answer: A

Question 2

What is the main purpose of an AI adoption plan?

Options :

A : To document only technical architecture diagrams for AI solutions.

B : To list every possible AI technology available in the market.

C : To allow experimentation with AI without any approvals or governance.

D : To translate AI strategy into actionable steps, timelines, and responsibilities.

Answer: D

Question 3

In a case where AI was used to predict student success, it was found to disadvantage students from certain backgrounds. What corrective action should be taken?

Options :

A : Replace the AI system with another technology immediately.

B : Re-evaluate the training data and model to address bias.

C : Continue using the system to gather more data on its performance.

D : Disable all reporting about the model’s performance to avoid complaints.

Answer: B

Question 4

Contoso’s HR team wants help drafting job descriptions and rewriting internal policy documents directly inside Word and Outlook. They have no AI engineering team and want to avoid managing models, prompts, or infrastructure.Which generative AI solution should they use first?

Options :

A : Train a custom model using Azure Machine Learning

B : Use Microsoft Copilot for Microsoft 365

C : Deploy Azure OpenAI models behind a custom web app

D : Configure Azure AI Search with semantic ranking only

Answer: B

Question 5

A transformation lead at Fabrikam claims:“As long as we collect very large volumes of data, it doesn’t matter if it’s noisy or poorly labeled; modern generative AI models will automatically correct for low data quality during training.”Is this statement correct?

Options :

A : True

B : False

Answer: B

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