- A
A technique for making AI prompts shorter and more efficient
Why wrong: Prompt efficiency is a development optimization — prompt injection is a security attack.
- B
A security attack where malicious inputs try to override AI system instructions or bypass guardrails
Prompt injection embeds malicious instructions in inputs to manipulate AI behavior — a critical security concern for AI applications.
- C
The process of adding examples to prompts to improve model performance
Why wrong: Adding examples is few-shot prompting — prompt injection is a malicious attack technique.
- D
A method of injecting training data into a model after deployment
Why wrong: Post-deployment training updates is model retraining — prompt injection attacks happen at inference time through user inputs.
Quick Answer
The correct answer is that prompt injection is a security attack where malicious inputs try to override an AI system’s instructions or bypass its guardrails. This is a critical concern because large language models are designed to follow user-provided prompts, so a carefully crafted injection can trick the model into ignoring its safety rules, leaking sensitive data, or performing unauthorized actions. On the Microsoft Azure AI Fundamentals AI-900 exam, this concept tests your understanding of responsible AI principles and the security risks inherent in generative AI deployments. A common trap is confusing prompt injection with simple misconfiguration—remember, injection is an active attack, not a setup error. For the exam, think of it as a “digital jailbreak” where the input hijacks the model’s behavior. A helpful memory tip: “Injection overrides instructions; guardrails are the target.”
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. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. 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.
What is prompt injection and why is it a security concern for AI systems?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
A security attack where malicious inputs try to override AI system instructions or bypass guardrails
Prompt injection is a security attack where a malicious user crafts input that overrides the AI system's original instructions or bypasses its guardrails, causing the model to behave in unintended ways. This is a critical security concern because it can lead to data exfiltration, unauthorized actions, or the generation of harmful content, undermining the trust and safety of AI deployments.
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.
- ✗
A technique for making AI prompts shorter and more efficient
Why it's wrong here
Prompt efficiency is a development optimization — prompt injection is a security attack.
- ✓
A security attack where malicious inputs try to override AI system instructions or bypass guardrails
Why this is correct
Prompt injection embeds malicious instructions in inputs to manipulate AI behavior — a critical security concern for AI applications.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
The process of adding examples to prompts to improve model performance
Why it's wrong here
Adding examples is few-shot prompting — prompt injection is a malicious attack technique.
- ✗
A method of injecting training data into a model after deployment
Why it's wrong here
Post-deployment training updates is model retraining — prompt injection attacks happen at inference time through user inputs.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse prompt injection with legitimate prompt engineering techniques like few-shot learning or prompt optimization, failing to recognize it as a distinct security vulnerability that targets the instruction hierarchy of AI systems.
Detailed technical explanation
How to think about this question
Under the hood, prompt injection exploits the autoregressive nature of large language models (LLMs), where the model treats all input tokens—including system prompts and user instructions—as part of a single sequence. A real-world scenario is the 'indirect prompt injection' attack, where an attacker embeds malicious instructions in a webpage or email that the AI reads, causing the model to follow those instructions instead of the user's original intent, such as leaking private data via a crafted response.
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 cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
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FAQ
Questions learners often ask
What does this AI-900 question test?
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: A security attack where malicious inputs try to override AI system instructions or bypass guardrails — Prompt injection is a security attack where a malicious user crafts input that overrides the AI system's original instructions or bypasses its guardrails, causing the model to behave in unintended ways. This is a critical security concern because it can lead to data exfiltration, unauthorized actions, or the generation of harmful content, undermining the trust and safety of AI deployments.
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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Last reviewed: Jun 11, 2026
This AI-900 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI-900 exam.
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