Question 1

Fabrikam is moving from a small Copilot pilot to broad rollout. The AI transformation lead wants an AI champions program that actually sustains adoption, not just a one-time launch event.Which design approach best supports a durable AI champions program?

Options :

A : Ask for volunteers once and never meet with them again

B : Select only IT staff so the program stays “technical”

C : Rotate champions every week so everyone has a turn

D : Define a clear role, choose cross-functional champions, provide training, and meet regularly as a community

Answer: D

Question 2

Which Microsoft AI offering is best described as a SaaS solution that boosts employee productivity with AI in everyday tools?

Options :

A : Microsoft 365 Copilot.

B : Azure AI Foundry.

C : Azure OpenAI Service.

D : Azure Virtual Machines.

Answer: A

Question 3

A telco is training a churn model. Midway through, you discover that:10% of labels are wrong due to a bug in how “churn” was recordedSome important features have inconsistent units across systemsMany recent records are missing key fieldsWhat is the most accurate description of how this data quality will affect the model?

Options :

A : The model will be largely unaffected because modern algorithms are explicitly designed to ignore label noise and unit inconsistencies during training.

B : Poor labels, inconsistent units, and missing values can distort the patterns the model learns, reducing accuracy and making outputs harder to trust, especially for borderline customers.

C : Only missing values matter; label errors and unit issues are irrelevant because the optimisation process doesn’t look at them directly.

D : Data quality problems affect only training speed, not model behaviour, so your main risk is longer training time rather than worse predictions.

Answer: B

Question 4

Fabrikam Health is building a “Ward Rounds Copilot” for clinicians.RequirementsR1: Extract text from photos of whiteboard notes, patient labels, and printed ward lists taken on a tabletR2: Allow doctors to ask questions over clinical guidelines, local policies, and anonymised case summaries using natural-language and semantically relevant resultsR3: Provide a unified environment where the digital team can connect models and tools, configure the copilot, and manage lifecycle, security, and monitoringProposed solutionUse Azure AI Vision to perform OCR and image analysis on the photos from the wardUse Azure AI Search to index guidelines, policies, and case summaries and to provide semantic retrieval for the copilotUse Azure AI Foundry as the workspace where the team wires together models, tools (including Vision and Search), and lifecycle policies for the solutionDoes the proposed solution meet the requirements?

Options :

A : Yes

B : No

Answer: A

Question 5

Tailwind Traders is piloting a generative AI assistant for internal policy questions. Early feedback is that answers are fluent but sometimes off-topic or missing critical rules. You explain that improving the prompts will likely fix much of this without changing the model.To improve answer quality with minimal architecture changes, the most effective next step is to focus prompt engineering on ______.

Options :

A : Adding more GPUs to the cluster

B : Rewriting prompts with clear roles and constraints

C : Migrating the app to a different Azure region

D : Shortening all responses to one sentence

Answer: B

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