6.2 Practice Questions: AI Workloads and Responsible AI
Key Takeaways
- These questions test your ability to identify AI workload types and apply responsible AI principles to real-world scenarios.
- Focus on matching scenarios to workload types: regression = numbers, classification = categories, anomaly detection = unusual patterns, computer vision = images.
- Responsible AI questions require matching scenarios to the MOST RELEVANT principle among the six.
- Remember that responsible AI applies to ALL AI, not just generative AI — fairness in ML models, privacy in NLP, inclusiveness in speech recognition.
- Azure AI Content Safety is the specific service for detecting harmful content; responsible AI principles are the broader framework.
Test your knowledge of Domain 1 with these scenario-based questions. Each question mirrors the style and difficulty of the actual AI-900 exam.
How to Use This Practice Set
Treat these questions as an active-recall checkpoint for Practice Questions: AI Workloads and Responsible AI, not as a reading assignment. Answer the full set before looking at explanations, then mark each miss by skill area, rule, or service name. For every wrong answer, write the reason the correct option wins and why one tempting distractor fails. That habit matters because real exam questions often test the same concept with different wording. If you miss several questions from the same domain, pause and reread that chapter before continuing.
A strong final review loop is: timed attempt, explanation review, targeted reread, then a second attempt after a short break.
Review Routine
After you finish this set, make a three-column log: topic, missed rule, and the clue you should have noticed. Retake only missed questions the next day, then mix them with new questions so you do not memorize order. For calculations or scenario rules, say the first step aloud before choosing an option; that prevents rushing into a familiar but wrong answer.
A bank uses an AI model to approve or deny loan applications. The model consistently denies applications from a specific zip code that correlates with a minority neighborhood, even when applicants have strong credit histories. Which responsible AI principle is being violated?
A retail company wants to predict how many units of each product they will sell next month to optimize inventory. Which type of AI workload is this?
An autonomous vehicle uses AI to identify and locate pedestrians, cars, traffic signs, and lane markings in real time. Which two computer vision tasks are primarily involved?
A medical AI system provides a diagnosis but cannot explain how it reached its conclusion. The doctor cannot determine why the AI recommended a specific treatment. Which responsible AI principle is lacking?
A cybersecurity system monitors network traffic and flags unusual patterns that might indicate a breach. This is an example of which AI workload?
Which statement about AI and machine learning is correct?
An AI customer service chatbot collects and stores customer conversations including personal information, but the company has no data protection policy or encryption for this data. Which responsible AI principle is most at risk?
Which THREE are common types of AI workloads? (Select three)
Select all that apply