NVIDIA-Certified Associate Generative AI LLMs NCA-GENL Practice Test

NVIDIA-Certified Associate Generative AI LLMs NCA-GENL

Validate skills for implementing and deploying LLM solutions with NVIDIA technologies

4.2 (106 ratings)

Last updated : March 2025

NVIDIA Generative AI LLMs AI Certification

Course Details

The NVIDIA-Certified Associate Generative AI LLMs (NCA-GENL) practice test is designed to help learners validate their understanding of generative AI and large language models (LLMs) using NVIDIA’s cutting-edge technologies and frameworks. This comprehensive test simulates the format and rigor of the actual certification exam, providing a realistic assessment of your readiness.

Overview:
This practice test focuses on core concepts, tools, and applications of generative AI and LLMs, emphasizing hands-on knowledge required to build, optimize, and deploy AI models. It aligns with NVIDIA’s certification objectives, ensuring you gain proficiency in real-world scenarios, from model architecture design to ethical AI implementation.

Topics Covered:

Generative AI Fundamentals: Core principles, use cases, and differences between generative and discriminative models.
LLM Architectures: In-depth coverage of transformer-based models, attention mechanisms, and frameworks like NVIDIA NeMo.
Model Training & Fine-Tuning: Techniques for training LLMs, transfer learning, and hyperparameter optimization.
Deployment & Scalability: Strategies for deploying models using NVIDIA Triton Inference Server, optimizing performance with TensorRT, and scaling solutions.
Ethical AI & Safety: Addressing bias, fairness, and safety considerations in generative AI systems.
Tools & Libraries: Hands-on practice with NVIDIA AI Enterprise software, PyTorch, and CUDA-accelerated workflows.

Difficulty Level:
The test includes a mix of foundational (30%), intermediate (50%), and advanced (20%) questions to mirror the certification’s structure. Questions assess both theoretical knowledge and practical problem-solving skills.

Test Format:

60-70 multiple-choice questions (single and multi-select).
90-minute time limit to simulate exam conditions.
Questions feature real-world scenarios, code snippets, and diagram-based problems.

Benefits:

Identify Knowledge Gaps: Detailed explanations for answers help clarify misconceptions.
Build Confidence: Familiarize yourself with the exam’s pacing and question styles.
Performance Analytics: Receive a score breakdown by topic to prioritize study areas.
Flexible Learning: Accessible anytime, with pause-and-resume functionality for convenience.

What you'll learn

Build and deploy LLM applications using NVIDIA frameworks and libraries
Optimize performance of generative AI models on NVIDIA GPUs
Implement prompt engineering techniques for effective AI applications
Configure and manage NVIDIA infrastructure for LLM workloads

Requirements

Basic understanding of deep learning and neural networks concepts
Experience with Python programming and machine learning libraries
Familiarity with GPU computing and NVIDIA hardware
Knowledge of transformer-based architecture fundamentals

Who this course is for

AI developers seeking to validate their skills in generative AI implementations
ML engineers working with NVIDIA hardware to deploy large language models
Data scientists exploring optimization of LLM applications on GPU infrastructure
IT professionals supporting AI initiatives with NVIDIA accelerated computing

106 Ratings

This NVIDIA-Certified Associate practice test was exactly what I needed to prepare for the actual exam. The questions closely mirror the exam format, and the explanations for each answer were comprehensive. I particularly appreciated the sections on LLM optimization techniques. After completing this practice test three times, I passed the actual certification with confidence!

4.7 - Chioma Okonkwo

October 15, 2024 (6 months, 1 week ago)

Eccellente practice test! The question quality is outstanding and covers all the key areas of the NVIDIA GenAI certification. The detailed explanations helped me understand the reasoning behind each correct answer. I especially found the questions about transformer architectures and inference optimization very similar to the actual exam. Highly recommended for anyone serious about the NCA-GENL certification.

4.9 - Marco Bianchi

December 4, 2024 (4 months, 3 weeks ago)

The practice test is decent, but I found several questions to be ambiguous. Some of the explanations weren't as thorough as I hoped, especially in the sections about prompt engineering and RAG implementations. It helped me pass the exam, but I had to supplement with other resources. The performance analytics feature was useful, though it could use more granular topic breakdown. Reasonable value, but not perfect.

3.6 - Elena Sørensen

January 22, 2025 (3 months ago)

¡Excelente recurso! This practice test truly helped me identify my weak areas in NVIDIA's generative AI technologies. The questions about model quantization and multi-GPU deployment strategies were particularly valuable. The test interface is intuitive, and I appreciated the timer feature that simulated real exam conditions. After going through this practice test twice, I felt very prepared and passed the actual certification with a high score.

4.5 - Carlos Rodríguez