NVIDIA Start Focus
Log In Create Account

NVIDIA workspace

Detailed Explanations

A detailed answer review with side-by-side rationale, distractor analysis, related questions, and weak-topic practice.

Certification
Build Quiz

NVIDIA catalog review

Experimentation with multimodal and generative AI workflows

Correct: D
Your answer Not answered Answer this in practice or the daily question to sync here.
Correct answer D A rubric that defines task success, quality issues, and severity levels
Result Awaiting answer Synced from this browser when available.
Confidence Unset Use the practice page confidence controls to calibrate this item.

Which artifact best helps reviewers judge generated images or captions consistently across experiment runs?

A A longer prompt that includes more descriptive modifiers
B A folder that stores outputs sorted by creation time
C A table listing the GPU model used for inference
D A rubric that defines task success, quality issues, and severity levels
1. Answer captured 2. Key checked 3. Rationale review 4. Retry weak topic

Detailed explanation

Catalog rationale

Correct answer: D

Multimodal outputs often need human or task-specific judgment. A rubric reduces inconsistent review by defining what counts as correct, unsafe, off-brand, low quality, or incomplete.

Key concept Experimentation with multimodal and generative AI workflows

NVIDIA-Certified Associate: Generative AI Multimodal

Exam tip Map the requirement to the managed NVIDIA capability.

Eliminate services that solve infrastructure, data movement, or routing when the stem asks for AI model access or governance.

NVIDIA service references

08 NVIDIA-Certified Associate- Generative AI Multimodal 01 Experimentation 01 Experimentation with multimodal and generative AI workflows NVIDIA-Certified Associate: Generative AI Multimodal

Why the wrong answers are wrong

A

Incorrect. Extra modifiers may change outputs but do not define review criteria.

B

Incorrect. Sorting by time helps organization, not consistent judgment.

C

Incorrect. Hardware metadata is useful but does not guide quality assessment.