Free Microsoft AB-731 Exam Questions

Become Microsoft Certified with updated AB-731 exam questions and correct answers

Page: 1 / 82

Total 406 Questions | Updated On: Apr 15, 2026

Add To Cart

Question 1

StatementIn a typical Azure AI solution, Azure AI Vision is used primarily for OCR and image analysis, Azure AI Search is used as the search and retrieval engine over indexed content, and Azure AI Foundry is used as the workspace to integrate these services into governed AI applications and agents.

A : True

B : False

Answer: A

Question 2

A national health agency wants to use AI to summarize clinical notes but must comply with strict privacy regulations.Question:Why is secure AI critical in this context?

A : Improve creativity in generated summariesImprove creativity in generated summaries

B : Protect sensitive data and control accessProtect sensitive data and control access

C : Avoid using encryption controls to cut cost

D : Share all system logs with every staff member

Answer: B

Question 3

What must an administrator configure to allow FortiNAC-F to process incoming syslog messages that are not supported by default?

A : A Syslog Service Connector

B : A Security Action

C : A Security Event Parser

D : A Log Receiver

Answer: C

Question 4

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 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: Apr 15, 2026

Add To Cart