Quizzes and practice exams
Self-assessment for every stage of study. All of these are Google Forms that anyone with the link
can take; the forms themselves are not stored in this repository. Scoring weights questions by
difficulty: easy = 1 point, medium = 2, hard = 3.
On this page
Full-length practice exams
Chapter quizzes
Part 1 — Agent Fundamentals
Part 2 — Framework & Tool Integration
Part 3 — Evaluation & Optimization
Part 4 — Production Deployment & Scaling
Part 5 — Advanced Reasoning & Decision Making
Part 6 — Retrieval-Augmented Generation (RAG)
Part 7 — NVIDIA NeMo Framework & Optimization
Part 8 — Reliability & Cost Management
Part 9 — Safety & Governance
Part 10 — Human-in-the-Loop & Integration
Also in the Study Plan
Using them well
Full-length practice exams
10 NVIDIA NCP-AAI practice tests of 70 questions each. Take them
after you have worked through the chapters, closer to exam day.
Test
Title
Questions
Link
Test 01
NVIDIA NCP-AAI Practice Test 1
70
Take test
Test 02
NVIDIA NCP-AAI Practice Test 2
70
Take test
Test 03
NVIDIA NCP-AAI Practice Test 3
70
Take test
Test 04
NVIDIA NCP-AAI Practice Test 4
70
Take test
Test 05
NVIDIA NCP-AAI Practice Test 5
70
Take test
Test 06
NVIDIA NCP-AAI Practice Test 6
70
Take test
Test 07
NVIDIA NCP-AAI Practice Test 7
70
Take test
Test 08
NVIDIA NCP-AAI Practice Test 8
70
Take test
Test 09
NVIDIA NCP-AAI Practice Test 9
70
Take test
Test 10
NVIDIA NCP-AAI Practice Test 10
70
Take test
Chapter quizzes
96 quizzes, listed below under the numbering used in
quizzes_ver20JUN26.md (version 20JUN26), with titles as they appear
there (some are truncated in the source).
Numbering caution. The quiz list uses an older chapter numbering than the Study Plan, slides, and
certification maps from Part 4 onward: for example, quiz 5.11 is Procedural Memory while chapter 5.11
is Rule-Based Decision Making , and quizzes 9.9–9.11 and 5.14–5.15 have no chapter with that ID. Match
quizzes to chapters by title , not number. The Part pages link a quiz
to a chapter only where the titles agree.
Part 1 — Agent Fundamentals
Quiz
Title
Questions
Link
1.1A
Designing User Interfaces for Intuitive Human-Agent Int…
26
Take quiz
1.1B
Human-in-the-Loop Patterns and Accessible Design
34
Take quiz
1.2
Core Agent Patterns
30
Take quiz
1.3
Multi-Agent Systems
42
Take quiz
1.4
Memory and Perception Systems
20
Take quiz
1.5A
Stateful Orchestration - Introduction and Core Concepts
27
Take quiz
1.5B
Stateful Orchestration - Worked Examples
27
Take quiz
1.6
Stateful Orchestration - Pitfalls, Integration, and Syn…
24
Take quiz
1.7A
Relational Reasoning with Knowledge Graphs - The Fundam…
41
Take quiz
1.7B
Relational Reasoning with Knowledge Graphs - Hybrid RAG…
25
Take quiz
1.8
Scalability and Production Deployment
27
Take quiz
Quiz
Title
Questions
Link
2.1
Framework Landscape and Selection
23
Take quiz
2.2
LangGraph
25
Take quiz
2.3
LangChain Sequential Frameworks
23
Take quiz
2.4
Multi-Agent Frameworks
33
Take quiz
2.5
Semantic Kernel: Enterprise Framework and Plugin Archit…
25
Take quiz
2.6
Tool Integration and Function Calling
26
Take quiz
2.7
Multimodal RAG Approaches
43
Take quiz
2.8
Error Handling and Resilience
28
Take quiz
2.9
Streaming and Real-Time Responses
27
Take quiz
Part 3 — Evaluation & Optimization
Quiz
Title
Questions
Link
3.1A
Implement Evaluation Pipelines and Task Benchmarks
36
Take quiz
3.1B
Implement Evaluation Pipelines and Task Benchmarks (Gui…
28
Take quiz
3.1C
Implement Evaluation Pipelines and Task Benchmarks (Ind…
25
Take quiz
3.2
Compare Agent Performance Across Tasks and Datasets
26
Take quiz
3.3
Web Navigation and Interaction Benchmarks
31
Take quiz
3.4
Tuning Model Parameters for Production Performance
25
Take quiz
3.5
Prompt Optimization Techniques and Few-Shot Learning St…
27
Take quiz
3.6
Making Agent Decisions Visible
28
Take quiz
3.7
Tool Usage Auditing
29
Take quiz
3.8
Action Accuracy Metrics
38
Take quiz
3.9
Reasoning Quality
40
Take quiz
3.10
Efficiency Metrics — Balancing Performance, Cost, and R…
42
Take quiz
Part 4 — Production Deployment & Scaling
Quiz
Title
Questions
Link
4.1A
Microservices Architecture for AI Agent Deployment
27
Take quiz
4.1B
Kubernetes Orchestration for Multi-Agent AI Systems
30
Take quiz
4.2A
NVIDIA NIM and Triton Inference Server
42
Take quiz
4.2B
TensorRT-LLM and NVIDIA Fleet Command
40
Take quiz
4.3
Container Orchestration and Edge Deployment
31
Take quiz
4.4
Production Infrastructure for Multi-Agent Systems
30
Take quiz
4.5
NVIDIA NIM and Triton Inference Server
26
Take quiz
4.6
TensorRT-LLM and NVIDIA Fleet Command
29
Take quiz
Part 5 — Advanced Reasoning & Decision Making
Quiz
Title
Questions
Link
5.1
Chain-of-Thought (CoT) Fundamentals and Integration
25
Take quiz
5.2
Tree-of-Thought (ToT) Fundamentals and Graph-of-Thought…
28
Take quiz
5.3
Self-Consistency Fundamentals
55
Take quiz
5.4
Hierarchical Planning Fundamentals and HTN Formalism
28
Take quiz
5.5
Monte Carlo Tree Search Fundamentals
33
Take quiz
5.6
A* Search Fundamentals and Implementation
24
Take quiz
5.8
Semantic Memory
33
Take quiz
5.9
Working Memory
29
Take quiz
5.10
Utility-Based Decision Making Fundamentals
32
Take quiz
5.11
Procedural Memory
26
Take quiz
5.12
Learning-Based Decision Making Fundamentals
32
Take quiz
5.13
Hybrid Decision Systems Fundamentals
38
Take quiz
5.14
Learning-Based Decision Making Fundamentals
28
Take quiz
5.15
Hybrid Decision Systems Fundamentals
28
Take quiz
Part 6 — Retrieval-Augmented Generation (RAG)
Quiz
Title
Questions
Link
6.1
Embeddings and RAG Fundamentals
72
Take quiz
6.2
Vector Databases and Similarity Search
67
Take quiz
6.3
Build ETL Pipelines to Integrate Enterprise Data Source…
69
Take quiz
6.3C
ETL Practice, Pitfalls, and Resources
26
Take quiz
6.4
Data Quality Fundamentals
60
Take quiz
6.5
Production RAG Systems
72
Take quiz
6.6
Query Decomposition and Adaptive Retrieval
64
Take quiz
6.7
Chapter Summary and Integration
25
Take quiz
6.9B
Advanced Code Review and Application Questions
35
Take quiz
Part 7 — NVIDIA NeMo Framework & Optimization
Quiz
Title
Questions
Link
7.1A
NeMo Framework and Six Rail Types
26
Take quiz
7.1B
Nvidia NIM and Colang
25
Take quiz
7.2A
Performance Optimization and Production Monitoring — Lo…
30
Take quiz
7.2B
Performance Optimization and Production Monitoring
47
Take quiz
7.3
NeMo Agent Toolkit Profiling
26
Take quiz
7.4
TensorRT-LLM Fundamentals and Quantization
24
Take quiz
7.5
NeMo Curator, Riva Speech AI & Multimodal Integration
49
Take quiz
7.6
Multi-Instance GPU
29
Take quiz
Part 8 — Reliability & Cost Management
Quiz
Title
Questions
Link
8.1
Latency Metrics
40
Take quiz
8.2A
Error Taxonomy and SLO Management
26
Take quiz
8.2B
NeMo Guardrails Integration
26
Take quiz
8.3
Token Economics and Architecture
24
Take quiz
8.4
Success Metrics and Multi-Dimensional Measurement
30
Take quiz
Part 9 — Safety & Governance
Quiz
Title
Questions
Link
9.1
Output Filtering and Content Moderation
32
Take quiz
9.2
Action Constraints and Permission Models
30
Take quiz
9.3
Sandboxing and Transparency Foundations
32
Take quiz
9.4
Fairness and Bias Mitigation
32
Take quiz
9.6A
Value Alignment Frameworks (Part A)
24
Take quiz
9.6B
Value Alignment Frameworks
32
Take quiz
9.7
GDPR and Data Protection Regulations
30
Take quiz
9.8A
Standards and Frameworks for AI Governance
28
Take quiz
9.8B
Standards and Frameworks for AI Governance
31
Take quiz
9.9
Value Alignment Frameworks - Building AI Systems That R…
32
Take quiz
9.10
GDPR Compliance in Practice
28
Take quiz
9.11
Standards and Frameworks for AI Governance
32
Take quiz
9.16
Chapter Summary and Integration
48
Take quiz
9.17
Chapter Summary and Integration
32
Take quiz
Part 10 — Human-in-the-Loop & Integration
Also in the Study Plan
Each chapter section in Study_Plan.md ends with a set of key questions and a
“take this chapter’s quiz” link, plus a form for answering the questions in your own words.
Using them well
Take a chapter quiz right after finishing the chapter, without notes.
Re-take the quizzes for the chapters you missed before moving on to the next Part.
Take one full practice exam about two weeks before your exam date and another the week of, treating
the second as a dress rehearsal.
Use the AI tutor to work through questions you got wrong.