✦ Velza Academy · Free Self-Assessment

Where do you really stand on the NVIDIA-Certified Associate: Generative AI Multimodal (NCA-GENM) exam?

Most people preparing for this exam study what feels familiar. The exam grades what the official blueprint weights. The free readiness scorecard shows you the difference in about five minutes.

Rate yourself topic by topic across every official exam domain
Your scores are weighted exactly the way the exam is, so a weak heavy domain jumps out first
Charts show your readiness per domain at a glance
Progress saves in your browser, so you re-score as you study and watch the gaps close

Built by Mike Wheeler, O’Reilly author, 500,000+ learners taught

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✦ Inside the scorecard

Your readiness, charted as you slide

Slide your honest rating for every topic and the picture updates live: readiness per domain, weighted study priorities, and the chart of where you stand.

The NVIDIA-Certified Associate: Generative AI Multimodal readiness scorecard showing the domain chart, weighted study priorities, and topic sliders

The actual NCA-GENM scorecard, mid-assessment.

What the NCA-GENM exam actually is

These details come from the vendor's current certification page. Read the official exam page alongside this scorecard so you are working from the source.

What it is: An entry-level credential validating foundational skills for designing, implementing, and managing AI systems that synthesize and interpret text, image, and audio data.
Who it is for: Developers and AI practitioners, including software and machine learning engineers, data scientists, AI strategists, generative AI specialists, researchers, and solution architects.
Questions: 50–60 multiple-choice questions; NVIDIA’s overview on the same page describes the exam as 50 questions
Duration: 1 hour, delivered online with remote proctoring
Cost and validity: $125; the certification is valid for 2 years from issuance and can be renewed by retaking the exam
Passing score: NVIDIA does not publish a numeric passing score; certification exams are reported pass or fail
Domains and weights: Core Machine Learning and AI Knowledge 20%; Data Analysis 10%; Experimentation 25%; Multimodal Data 15%; Performance Optimization 10%; Software Development 15%; Trustworthy AI 5%.
Prerequisite and language: A basic understanding of generative AI; the exam is offered in English

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After your self-assessment

Practice the exact certification next

Use the free scorecard to find your gaps. Then use Mike Wheeler's matching Udemy practice tests to work through exam-style questions and explanations.

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Course artwork shown above is from Mike's Udemy practice-test course. It is not a vendor-issued certification badge.

✦ The blueprint, weighted

The official domain weights

Straight from the official exam guide, and exactly what the scorecard grades you against. The longer the bar, the more of the exam rides on it.

Core Machine Learning and AI Knowledge20%

Data Analysis10%

Experimentation25%

Multimodal Data15%

Performance Optimization10%

Software Development15%

Trustworthy AI5%

✦ How it works

Five minutes to an honest study plan

Rate yourself

Slide through every topic the exam tests. No login, no grading, just your honest read.

See your weighted gaps

Charts show your readiness per domain, weighted the way the exam actually scores.

Study where it pays

Put your next hour on the weakest heavy domain, then re-score and watch the gap close.

✦ Your instructor

Mike Wheeler, founder of Velza Training and Consulting

Built by Mike Wheeler

Mike Wheeler is an AI and Salesforce trainer and O’Reilly author who has taught well over 500,000 global learners on platforms such as edX, LinkedIn Learning, Pearson, and Udemy. He built this scorecard for people aiming at NVIDIA’s Generative AI Multimodal associate exam.

500,000+ global learners taught O’Reilly author Free reusable scorecard