AI-900 Practice Question: Describe Artificial Intelligence workloads and considerations
This AI-900 practice question tests your understanding of describe artificial intelligence workloads and considerations. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A healthcare organization plans to use AI to analyze patient records for medical research. They must ensure that patient data is protected from unauthorized access during storage and processing. Which Microsoft responsible AI principle is most directly relevant to this requirement?
Why wrong: Fairness is about ensuring AI systems do not discriminate based on characteristics like gender or race; it does not directly address data protection.
B
Privacy and security
Privacy and security focuses on protecting data from unauthorized access and providing individuals control over their information, which matches the requirement.
C
Inclusiveness
Why wrong: Inclusiveness aims to empower everyone and ensure AI systems are accessible to people of all abilities; it is not about data security.
D
Reliability and safety
Why wrong: Reliability and safety ensures AI systems operate consistently and without harm, but it does not specifically cover data protection.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Privacy and security
The requirement to protect patient data from unauthorized access during storage and processing directly aligns with the Privacy and security principle. This principle mandates that AI systems implement robust data protection mechanisms, such as encryption at rest (e.g., AES-256) and in transit (e.g., TLS 1.2/1.3), access controls (e.g., Azure RBAC), and compliance with regulations like HIPAA. It ensures that sensitive healthcare data remains confidential and secure throughout its lifecycle.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
✗
Fairness
Why it's wrong here
Fairness is about ensuring AI systems do not discriminate based on characteristics like gender or race; it does not directly address data protection.
✓
Privacy and security
Why this is correct
Privacy and security focuses on protecting data from unauthorized access and providing individuals control over their information, which matches the requirement.
Related concept
Read the scenario before looking for a memorised answer.
✗
Inclusiveness
Why it's wrong here
Inclusiveness aims to empower everyone and ensure AI systems are accessible to people of all abilities; it is not about data security.
✗
Reliability and safety
Why it's wrong here
Reliability and safety ensures AI systems operate consistently and without harm, but it does not specifically cover data protection.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may confuse the Privacy and security principle with Reliability and safety, because both involve 'protection'—but reliability protects against system failures, not unauthorized data access.
Detailed technical explanation
How to think about this question
Under the hood, Azure services like Azure SQL Database and Azure Blob Storage support Transparent Data Encryption (TDE) and client-side encryption using Azure Key Vault for key management. For processing, confidential computing (e.g., Azure Confidential Computing with Intel SGX enclaves) can protect data in use by isolating it in a hardware-backed trusted execution environment. A real-world scenario is a healthcare research platform using Azure Health Data Services with managed identity and role-based access control (RBAC) to ensure only authorized researchers can query de-identified patient records.
KKey Concepts to Remember
Read the scenario before looking for a memorised answer.
Find the constraint that changes the correct option.
Eliminate answers that are true in general but not in this case.
TExam Day Tips
→Watch for words such as best, first, most likely and least administrative effort.
→Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this AI-900 question in full detail.
Describe Artificial Intelligence workloads and considerations — This question tests Describe Artificial Intelligence workloads and considerations — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Privacy and security — The requirement to protect patient data from unauthorized access during storage and processing directly aligns with the Privacy and security principle. This principle mandates that AI systems implement robust data protection mechanisms, such as encryption at rest (e.g., AES-256) and in transit (e.g., TLS 1.2/1.3), access controls (e.g., Azure RBAC), and compliance with regulations like HIPAA. It ensures that sensitive healthcare data remains confidential and secure throughout its lifecycle.
What should I do if I get this AI-900 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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