100% Free AB-731 Practice Exam Questions and Answers

Stay Ahead with Latest AB-731 Microsoft AI Business Solutions Practice Test Questions 2026

Page: 1 / 82

Total 406 Questions | Updated On: Sep 23, 2026

Add To Cart

Question 1

Tailwind Retail wants a model to recommend promotions. They have:Transaction tables with product, price, time, and storeCustomer attributes (age band, loyalty tier, region)Free-text notes from call centre agents about complaints and preferencesWhich approach best uses data types to improve the model?

A : Treat all fields as raw text in one long string and train a language model without distinguishing between structured and unstructured data.

B : Use structured features from tables for the core model, and derive additional signals from free-text notes (for example, topics or sentiment) that can be added as engineered features.

C : Ignore structured data entirely and train only on free-text fields, because language models always outperform tabular models when enough text is available.

D : Drop all free-text fields since they are hard to model; relying on numeric and categorical features guarantees better performance in every scenario.

Answer: B

Question 2

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?

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 3

An enterprise wants to scale AI usage beyond pilots and has been advised to create an AI champions program. Leadership is debating what the program should look like.Which design best reflects how an effective AI champions program should operate?

A : Ask IT to nominate a few admins as “champions” whose main task is to approve access requests; do not give them time for coaching or peer engagement so they can stay focused on tickets.

B : Select only senior executives as champions so messages come from the top, and limit their involvement to recording occasional video messages about the importance of AI.

C : Outsource the champions program entirely to the vendor’s customer success team, who will run webinars but have no visibility into the organisation’s culture, policies, or specific use cases.

D : Recruit volunteer champions from across business units, give them training, time, and community support, and empower them to model usage, coach peers, and feed insights back to the central adoption and governance teams.

Answer: D

Question 4

Contoso already has eligible Microsoft 365 business licenses for all knowledge workers. They want:Basic, enterprise-ready Copilot Chat for everyone at no extra costFull Microsoft 365 Copilot in-app experiences (Word, Excel, PowerPoint, Outlook, Teams) for a smaller pilot group on a per-user subscriptionWhich licensing approach best fits these goals?

A : Buy only Azure OpenAI consumption and remove all Copilot features

B : Use Copilot Chat included with eligible Microsoft 365 subscriptions, and add Microsoft 365 Copilot licenses monthly for the pilot users

C : Replace Microsoft 365 completely with a third-party AI suite

D : Give every user a separate pay-as-you-go Azure subscription and no Microsoft 365 licenses

Answer: B

Question 5

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?

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

Page: 1 / 82

Total 406 Questions | Updated On: Sep 23, 2026

Add To Cart