Full-Length Practice Exams

This volume exists to repay a design decision.

The eight volumes before it each teach one domain and none refers to any other, so a reader who

buys one gets a complete book rather than a fragment. The cost of that design is the connections

between domains — and the connections are exactly what the certifications test.

Three full-length practice exams, 150 questions, 150 explanations. Every question crosses at

least two domains by construction.

**What is checkable, and checked.** A practice exam whose domain mix does not match the

blueprint trains attention in the wrong proportion. That mix is arithmetic, so it is verified

here rather than claimed:

- **Exam One** — 60 questions to NVIDIA NCP-GENL weighting. Worst deviation from the published

blueprint: 1.0 percentage point.

- **Exam Two** — 50 questions to a blend of NVIDIA NCA-GENL and Databricks weighting. Worst

deviation: 0.0.

- **Exam Three** — 40 questions to a blend of AWS Certified Generative AI Developer and NVIDIA

NCP Agentic AI weighting, with the heaviest emphasis on agent behaviour. Worst deviation: 0.0.

Chapter 1 shows the allocation and the code that produces it, so a reader can rebuild the exams

against a revised blueprint rather than discarding the book when one changes.

**What is not checkable, and is said plainly.** Whether these questions resemble real ones in

phrasing and difficulty cannot be verified by anyone who has not sat the exam, and this book was

written entirely from published objectives. So it prints **no pass mark** — a pass mark would

imply a calibration nobody has established.

What the book does support is comparison within itself. Chapter 5 scores by domain rather than

by total, because a per-domain breakdown survives any mismatch in difficulty: it holds the

instrument constant. A total tells you whether you passed a practice exam; a breakdown tells you

which volume to reread, which is the only actionable output.

**What this book is not.** It is not a reprint — the 427 questions in the other volumes are not

repeated here, and that was verified mechanically against every one of them rather than assumed.

It is not new teaching: no mechanism is explained here for the first time, and where an

explanation needs one it names the volume that measures it. This is the one book in the series

that refers to the others, because connecting them is its entire function.

**Why the distractors are harder here.** On a single-domain question the wrong options are

misconceptions about that domain. On a cross-domain question they are frequently *correct

answers to the wrong domain's version of the question* — an accurate statement about chunking

offered for a problem that is a decode-side cost. The skill being tested is not knowing each

domain but knowing which domain a symptom belongs to, and every explanation names the domain

each wrong option belongs to.

What you get:

- 3 full-length exams: 60, 50 and 40 questions, each allocated to a verified blueprint mix.

- 150 explanations, each naming the volume that measures the mechanism and identifying which

domain every wrong option belongs to.

- Scoring sheets by domain for all three exams, and four result patterns with what each calls

for.

- A chapter on how the exams were constructed, including the allocation code.

You will get little from this book without the material behind it. The explanations assume the

mechanisms rather than teaching them, and a reader working these exams cold will score badly and

learn less than the score suggests.

Written to the published objectives of NVIDIA NCP-GENL, NVIDIA NCA-GENL, AWS Certified

Generative AI Developer – Professional, Databricks Certified Generative AI Engineer, and NVIDIA

NCP Agentic AI. Weightings were taken from the published guides in August 2026; confirm the

current blueprint with the certifying body before you sit.

Every question is original, written from published exam objectives. Nothing is reproduced from,

or based on recollection of, any live examination.