AI-103 Implement Generative AI And Agentic Solutions Practice Question
When configuring Azure OpenAI Custom Model Evaluation in Azure AI Foundry, which TWO metrics can be computed using LLM-as-a-judge evaluators? (Choose two.)
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
✓
Coherence
Coherence and relevance are standard LLM-as-a-judge evaluation metrics in Azure AI Foundry.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
CPU utilization percentage
Why it's wrong here
CPU utilization is infrastructure telemetry, not an LLM-as-a-judge evaluation metric.
- ✗
DNS propagation delay
Why it's wrong here
DNS delay is a network metric.
- ✗
Disk input/output operations per second (IOPS)
Why it's wrong here
IOPS is a storage performance metric.
- ✓
Coherence
Why this is correct
Coherence measures how well-structured and logical the generated text is.
- ✓
Relevance
Why this is correct
Relevance evaluates how directly the response addresses the prompt.
About these practice questions
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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-103 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-103 exam.