AI-300 Practice Question: Generative AI Quality Assurance And Observability
In an LLM pipeline, what is the primary risk of relying solely on automated 'Groundedness' evaluators?
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
✓
They may have false negatives and miss subtle hallucinations
Automated evaluators (LLM-as-a-judge) may have their own biases or may incorrectly classify outputs, leading to false negatives/positives.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
They prevent the use of custom prompts
Why it's wrong here
They do not restrict prompt usage.
- ✗
They always increase latency significantly
Why it's wrong here
Latency is a factor, but not the primary risk of accuracy.
- ✗
They require a permanent database connection
Why it's wrong here
This is an architectural requirement, not a quality risk.
- ✓
They may have false negatives and miss subtle hallucinations
Why this is correct
No automated evaluator is perfect; it can miss complex or subtle hallucinations.
About these practice questions
This AI-300 question is part of Courseiva's 204-question bank — original exam-style content with full explanations and wrong-answer analysis, never real exam questions or exam dumps. Learn why practice questions differ from exam dumps →
JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed August 2026 · checked against the official Microsoft exam blueprint
This AI-300 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-300 exam.