Question 1

How many NCP practice questions are there?

Accepted Answer

167 questions across 1 version, each with the correct answer and an explanation.

Question 2

Are there free NCP sample questions?

Accepted Answer

Yes. 20 sample questions are free; 10 are open to everyone and the rest unlock with a free account.

Question 3

What does full access include?

Accepted Answer

Every NCP question in study, timed and flashcard modes, explanations for each answer, and progress that saves so you can resume.

Question 4

What topics does NCP cover?

Accepted Answer

LLM Architecture (6%), Prompt Engineering (13%), Data Preparation (9%), Model Optimization (17%), Fine-Tuning (13%), Evaluation (7%), GPU Acceleration and Optimization (14%), Model Deployment (9%), Production Monitoring and Reliability (7%), Safety, Ethics, and Compliance (5%).

Question 5

What is the NVIDIA NCP-GENL certification?

Accepted Answer

NCP-GENL is the NVIDIA-Certified Professional: Generative AI LLMs certification. It is an intermediate, professional-level credential that validates your ability to design, train, and fine-tune large language models (LLMs) and apply advanced distributed training and optimization strategies to deliver high-performance, production-grade AI solutions.

Question 6

How long is the NCP-GENL exam and how many questions does it have?

Accepted Answer

The NCP-GENL exam is 120 minutes long and contains 60-70 multiple-choice and multiple-response questions. It is delivered online and proctored remotely through Certiverse.

Question 7

How much does the NCP-GENL exam cost?

Accepted Answer

The NCP-GENL exam costs $200 USD. You register and pay through the NVIDIA certification center / Certiverse; additional taxes may apply in some regions.

Question 8

What topics are on the NCP-GENL exam?

Accepted Answer

The exam blueprint covers ten areas: LLM Architecture (6%), Prompt Engineering (13%), Data Preparation (9%), Model Optimization (17%), Fine-Tuning (13%), Evaluation (7%), GPU Acceleration and Optimization (14%), Model Deployment (9%), Production Monitoring and Reliability (7%), and Safety, Ethics, and Compliance (5%).

Question 9

What are the prerequisites for NCP-GENL?

Accepted Answer

There are no mandatory prerequisites, but NVIDIA recommends 2-3 years of practical AI/ML experience with LLMs, a strong grasp of transformer architectures, prompt engineering, distributed parallelism, and parameter-efficient fine-tuning, plus Python proficiency and familiarity with Docker, Kubernetes, and NVIDIA's AI ecosystem.

Question 10

How long is the NCP-GENL certification valid?

Accepted Answer

The certification is valid for two years from issuance. Recertification is achieved by retaking the exam.

Question 11

What is the difference between NCA-GENL and NCP-GENL?

Accepted Answer

NCA-GENL is the Associate-level NVIDIA Generative AI LLMs certification aimed at foundational knowledge, while NCP-GENL is the Professional-level credential for experienced practitioners who design, train, fine-tune, optimize, and deploy LLMs at scale.

Question 12

Is the NCP-GENL exam available yet?

Accepted Answer

As of this research (October 2025), NVIDIA's official exam page lists NCP-GENL with its full exam blueprint and study guide but marks the exam as 'Coming soon,' with registration handled through a Certiverse account.

Question 13

What is the passing score for NCP?

Accepted Answer

You need Not published to pass NCP.

Top vendors

Top exams

Nutanix Certified Professional 5.10 practice test

Full access

Practice NCP in the simulator.

NCP, by the numbers.

Everything about NCP.

Exam information

What NCP covers

How do I earn this certification?

How to study for this exam?

What's changed on this exam?

Who should take this exam?

Three ways to practise

Study mode

Timed mode

Flashcards

NCP questions, answered

Nutanix Certified Professional 5.10 practice test

Full access

Practice NCP in the simulator.

NCP, by the numbers.

Everything about NCP.

Exam information

01Exam format120 min · 60-705

02Registration$2003

03Validity2 years2

04In our question bankv1 (167)

What NCP covers

01LLM Architecture6%6 topics

1.1Analyze encoder-decoder structures and their applicationsAnalyze encoder-decoder structures and their applications.2 obj.

1.2Describe transformer architectures including self-attention mechanismsDescribe transformer architectures including self-attention mechanisms.2 obj.

1.3Develop code to extract embeddings from both encoder and decoder modelsDevelop code to extract embeddings from both encoder and decoder models.2 obj.

1.4Implement advanced sampling techniques for text generationImplement advanced sampling techniques for text generation.2 obj.

1.5Understand output sampling techniques used in decoder-based language modelsUnderstand output sampling techniques used in decoder-based language models.2 obj.

1.6Understand the concept of embeddingsUnderstand the concept of embeddings.2 obj.

Hands-on skills & common mistakesExtract embeddings in code · Confusing encoder vs decoder roles

02Prompt Engineering13%4 topics

03Data Preparation9%3 topics

04Model Optimization17%7 topics

05Fine-Tuning13%4 topics

06Evaluation7%4 topics

07GPU Acceleration and Optimization14%4 topics

08Model Deployment9%3 topics

09Production Monitoring and Reliability7%5 topics

10Safety, Ethics, and Compliance5%5 topics