# AI Foundations Mock Exam 2

A harder, timed 60-item independent mock exam for the OpenAI Academy AI Foundations track, used as a readiness gate before the real assessment.

import PracticeExam from '../../../../components/PracticeExam.astro';

This is the second full-length **independent mock exam** for the AI Foundations track, built from publicly available OpenAI learning objectives. It is **not an official OpenAI assessment**. It is deliberately **harder than [Mock Exam 1](/openai/foundations/practice-exam/)** – more multi-constraint stems, more `FIRST` / `BEST` / `MOST cost-effective` / `TWO` qualifiers and more scenario framing – so use it as your **readiness gate**, timed, once you have closed the gaps the diagnostic exposed. All 60 items are new and distinct from Mock Exam 1 and the domain-page questions.

## Instructions

- **Time:** 75 minutes. Take this one **timed** to rehearse working under a clock.
- **Items:** 60, single-answer and multiple-response. Each item states how many answers to select.
- **Selection:** single-answer items use one choice; multiple-response items say **Select two** and you must pick exactly two – all correct and none incorrect.
- **No guessing penalty:** answer every question; an unanswered item simply scores zero.
- **Target:** aim for **at least 80% raw** (≈ 48/60) here before you take the real Academy assessment, because the Academy badge threshold is 80%.

## Domain distribution

| # | Domain | Items here |
| --- | --- | --- |
| 1 | AI and Generative AI Fundamentals | 8 |
| 2 | How Language Models Behave | 10 |
| 3 | ChatGPT Surfaces and Features | 8 |
| 4 | Prompting and Instructions | 12 |
| 5 | Context, Files and Memory | 7 |
| 6 | Verifying and Evaluating Output | 9 |
| 7 | Responsible and Safe Use | 6 |

Total: 8 + 10 + 8 + 12 + 7 + 9 + 6 = **60 items**.

## Readiness interpretation

This is an independent **readiness indicator**, not a score and not a pass mark. Because this exam is harder, a score in the upper bands here is a strong signal of readiness.

| Raw score | Band | What it means |
| --- | --- | --- |
| under 70% | Keep learning | The harder framing found real gaps; revisit those domains before the assessment. |
| 70–79% | Building confidence | Solid, but tighten the domains where multi-constraint items caught you. |
| 80–89% | Assessment ready | At or above the Academy badge threshold on the harder set; you are in good shape. |
| 90%+ | Strong readiness | Excellent on the tougher exam; you are well prepared for the Academy assessment. |

The 80% line matches the OpenAI Academy badge threshold. An Academy badge or pathway certificate of completion is **not a certification** and does not guarantee eligibility for a future OpenAI certification.

## Take the mock exam

Two ways to use the questions below. The **interactive mode** runs a timed sitting one question at a time and ends with your score, a per-domain breakdown and a full correction. The **review mode** underneath lists every question with its options one per line and the answer hidden until you ask for it.

<PracticeExam exam="openai-foundations" set={2} />
