60 NCA-GENL Practice Questions – Full Answers & Explanations Included | NVIDIA Generative AI LLMs

Описание: NVIDIA-Certified Associate: Generative AI LLMs Practice Tests: https://preporato.com/certificates/ge...

In this video, we're going to go through 60 real-exam-style questions for the NVIDIA Certified Associate: Generative AI LLMs (NCA-GENL) certification — with full answers and explanations for each one.
Whether you're taking the exam soon or just want to test your knowledge, this practice test will help you identify gaps and build confidence before the real thing.
What we'll cover:

LLM fundamentals & transformer architecture
Prompt engineering & fine-tuning techniques
RAG, embeddings, and tokenization
NVIDIA NIM, NeMo & inference optimization
AI safety & responsible AI practices

NCA-GENL Complete guide: https://preporato.com/certifications/...

What is NCA-GENL?
The NVIDIA Certified Associate: Generative AI LLMs certification validates your understanding of large language models, transformer architecture, prompt engineering, fine-tuning techniques, and deploying generative AI solutions using NVIDIA technologies.

Timestamps:
00:00 - Intro
00:41 - Core ML/AI Fundamentals (Q1-5)
10:40 - Software Development Basics (Q6-9)
16:40 - Experimentation Essentials (Q10-12)
19:50 - Data Analysis Foundations (Q13-14)
22:52 - Trustworthy AI: Fairness (Q15)
24:10 - Core ML/AI: Training & Optimization (Q16-20)
31:36 - Software Development: APIs & Monitoring (Q21-24)
35:04 - Experimentation: Hyperparameters (Q25-27)
40:39 - Data Analysis: Text Processing (Q28-29)
43:05 - Trustworthy AI: Privacy (Q30)
44:20 - Core ML/AI: Architecture Deep Dive (Q31-35)
51:30 - Software Development: Production Systems (Q36-39)
56:00 - Experimentation: Training Strategies (Q40-42)
59:28 - Data Analysis: Preprocessing (Q43-44)
1:01:35 - Trustworthy AI: Explainability (Q45)
1:02:50 - Core ML/AI: Advanced Concepts (Q46-50)
1:07:52 - Software Development: Scaling (Q51-53)
1:11:28 - Experimentation: Prompt Engineering (Q54-56)
1:14:35 - Data Analysis: Augmentation & Quality (Q57-58)
1:16:05 - Trustworthy AI: Ethics & Compliance (Q59-60)
1:18:09 - Outro