Objective 1.0

Describe Artificial Intelligence workloads and considerations

AI-900 Practice Questions

Use this page to practise Describe Artificial Intelligence workloads and considerations questions for this certification. Focus on how the exam tests describe artificial intelligence workloads and considerations in scenario format — understanding the why behind each answer builds more durable knowledge than memorising options.

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What this objective tests

AI-900 Describe Artificial Intelligence workloads and considerations — Key Topics

Describe Artificial Intelligence workloads and considerations questions on this certification test your ability to deploy and manage describe artificial intelligence workloads and considerations concepts in scenario-based situations.

Core Describe Artificial Intelligence workloads and considerations concepts and how they apply in real-world cloud scenarios.
How to deploy describe artificial intelligence workloads and considerations correctly and verify the outcome.
Troubleshooting describe artificial intelligence workloads and considerations issues by interpreting error output and system state.
Cloud best practices and Describe Artificial Intelligence workloads and considerations design trade-offs tested by this certification.

Common exam traps

Where candidates lose marks on Describe Artificial Intelligence workloads and considerations

⚠Selecting the most expensive service when a simpler managed option meets the requirement.
⚠Forgetting that cloud resources must be explicitly secured — defaults are rarely secure.
⚠Choosing a global service fix when the issue is region-specific.
⚠Overlooking cost implications of cross-region data transfer in architecture questions.

AI-900 Describe Artificial Intelligence workloads and considerations — Practice Questions

30 questions from this objective

Question 2easymultiple choice

Read the full NAT/PAT explanation →

A bank is developing an AI system to automatically approve personal loans. To ensure the system does not discriminate against any group of applicants, which Microsoft responsible AI principle should the bank primarily focus on?

Question 3easymultiple choice

Describe Artificial Intelligence workloads and considerations

AI-900 Describe Artificial Intelligence workloads and considerations — Key Topics

Where candidates lose marks on Describe Artificial Intelligence workloads and considerations

AI-900 Describe Artificial Intelligence workloads and considerations — Practice Questions

A bank is developing an AI system to automatically approve personal loans. To ensure the system does not discriminate against any group of applicants, which Microsoft responsible AI principle should the bank primarily focus on?

A data scientist is training a credit risk model and wants to use Azure Machine Learning's Responsible AI dashboard to identify if the model is biased against a certain demographic group. Which component of the dashboard should they use to evaluate this?

A financial services company uses an AI system to recommend personalized investment portfolios. A customer requests an explanation of why a particular investment was recommended. Which Microsoft responsible AI principle is primarily focused on ensuring the company can provide this explanation?

A global e-commerce company develops a chatbot to assist customers in multiple languages. The chatbot uses text-based responses. To ensure it serves diverse populations fairly, which Microsoft responsible AI principle should they prioritize?

A company develops an AI-powered virtual assistant for customer service. To ensure the assistant can be used by people with visual impairments, the team integrates screen reader compatibility. Which Microsoft responsible AI principle is most directly addressed by this action?

A company deploys an AI system to screen job resumes and rank candidates. The company wants to ensure that candidates can understand how the system arrived at its decisions. Which Microsoft responsible AI principle is most directly addressed by this requirement?

All AI-900 Objectives

Describe Artificial Intelligence workloads and considerations

AI-900 Describe Artificial Intelligence workloads and considerations — Key Topics

Where candidates lose marks on Describe Artificial Intelligence workloads and considerations

AI-900 Describe Artificial Intelligence workloads and considerations — Practice Questions

A bank is developing an AI system to automatically approve personal loans. To ensure the system does not discriminate against any group of applicants, which Microsoft responsible AI principle should the bank primarily focus on?

A data scientist is training a credit risk model and wants to use Azure Machine Learning's Responsible AI dashboard to identify if the model is biased against a certain demographic group. Which component of the dashboard should they use to evaluate this?

A financial services company uses an AI system to recommend personalized investment portfolios. A customer requests an explanation of why a particular investment was recommended. Which Microsoft responsible AI principle is primarily focused on ensuring the company can provide this explanation?

A global e-commerce company develops a chatbot to assist customers in multiple languages. The chatbot uses text-based responses. To ensure it serves diverse populations fairly, which Microsoft responsible AI principle should they prioritize?

A company develops an AI-powered virtual assistant for customer service. To ensure the assistant can be used by people with visual impairments, the team integrates screen reader compatibility. Which Microsoft responsible AI principle is most directly addressed by this action?

A company deploys an AI system to screen job resumes and rank candidates. The company wants to ensure that candidates can understand how the system arrived at its decisions. Which Microsoft responsible AI principle is most directly addressed by this requirement?

All AI-900 Objectives