How many questions were analysed?

We analysed 50 Foundation questions for the Oracle Autonomous AI Database Professional, split across 9 exam domains. The figures on this page are recomputed from the live bank on every crawl, so they never drift from what you actually get in a practice session.

Is this the official pass rate?

No, and we do not publish one, because vendors do not release reliable per-domain pass rates. This is our own measurement of the bank. Treat it as a map of where the demanding questions sit in the blueprint, not as a prediction of your score.

Oracle Autonomous AI Database Professional

Measured data

Oracle Autonomous AI Database Professional

Name: Oracle Autonomous AI Database Professional exam question complexity by domain
Creator: CERTILUM

1Z0-931-26

We scored 50 real Oracle Autonomous AI Database Professional exam questions 1-10 on question complexity and broke the result down by exam domain.

50 questions scored

9 domains

2.3/10 overall complexity

certilum

Complexity by exam domain

Higher scores mean more demanding question formats. The exam score is computed over the whole bank, not averaged across domains.

Exam complexity score2.3/10Gentle · measured across 50 bank questions

Applying Autonomous Database Serverless Architectures6 questions · complexity 2.7/10 · Gentle
50% multi-select · 0% scenario · 33% interactive
Applying Select AI Capabilities4 questions · complexity 1.5/10 · Gentle
25% multi-select · 0% scenario · 25% interactive
Designing Unified Data Management and AI Analytics7 questions · complexity 1.7/10 · Gentle
29% multi-select · 0% scenario · 29% interactive
Implementing Autonomous Database Dedicated Deployments9 questions · complexity 3.1/10 · Gentle
44% multi-select · 22% scenario · 33% interactive
Implementing Autonomous Database Fundamentals9 questions · complexity 2.0/10 · Gentle
33% multi-select · 0% scenario · 33% interactive
Implementing MCP Server Integration2 questions · complexity 2.0/10 · Gentle
50% multi-select · 0% scenario · 0% interactive
Managing, Monitoring, and Optimizing Performance8 questions · complexity 2.9/10 · Gentle
50% multi-select · 13% scenario · 25% interactive
Understanding Migration and Data Integration3 questions · complexity 2.0/10 · Gentle
33% multi-select · 0% scenario · 33% interactive
Utilizing and Analyzing Autonomous Database Tools2 questions · complexity 2.0/10 · Gentle
50% multi-select · 0% scenario · 0% interactive

Full per-domain breakdown

Blueprint weight, bank size and question format mix for every domain of the exam.

Domain	Blueprint	Questions	Single	Multi	Interactive	Complexity
Applying Autonomous Database Serverless Architectures	12%	6	2	2	2	2.7/10Gentle
Applying Select AI Capabilities	8%	4	2	1	1	1.5/10Gentle
Designing Unified Data Management and AI Analytics	14%	7	3	2	2	1.7/10Gentle
Implementing Autonomous Database Dedicated Deployments	18%	9	3	3	3	3.1/10Gentle
Implementing Autonomous Database Fundamentals	18%	9	3	3	3	2.0/10Gentle
Implementing MCP Server Integration	4%	2	1	1	0	2.0/10Gentle
Managing, Monitoring, and Optimizing Performance	16%	8	3	3	2	2.9/10Gentle
Understanding Migration and Data Integration	6%	3	1	1	1	2.0/10Gentle
Utilizing and Analyzing Autonomous Database Tools	4%	2	1	1	0	2.0/10Gentle

How the score is calculated

The formula is fixed and public, so anyone can reproduce these numbers from the same bank.

Every question in the Oracle Autonomous AI Database Professional bank is measured on four signals that can be read directly from the database. Each signal is expressed as a share of the questions in the domain, and the four shares are combined with fixed weights:

Multi-select questions (40% weight). Items with more than one correct answer. The candidate has to find all of them, which is the single hardest format in the bank.
Scenario questions (30% weight). Questions longer than 150 characters, which describe a situation instead of a definition and therefore test reasoning rather than recall.
Interactive questions (20% weight). Items that require reading code or a configuration snippet.
Deep explanations (10% weight). Questions whose explanation runs past 300 characters, which signals a concept with real nuance behind it.

The combined share is multiplied by ten to produce a 1-10 score. The exam-level score is computed over the whole bank rather than averaged across domains, so a small domain cannot distort the total. Figures on this page are recomputed from the live bank on every crawl.

Data set: Certilum Oracle Autonomous AI Database Professional Foundation question bank, 50 questions, 9 domains. Published by CERTILUM. This is Certilum’s own measurement of its own question bank and is not an official Oracle statistic.

Questions analysed: 50
Exam domains: 9
Hardest domain: Implementing Autonomous Database Dedicated Deployments (3.1)
Most approachable domain: Applying Select AI Capabilities (1.5)
Question mix: 19 single · 17 multi · 14 interactive
Measured on: Foundation

Back to the Oracle Autonomous AI Database Professional practice page Read the questions

Frequently asked questions

What our Oracle Autonomous AI Database Professional complexity numbers mean and how they are produced.

It measures how structurally demanding the questions are, not the official pass rate. We score every question in our Oracle Autonomous AI Database Professional bank on four measurable signals and combine them into a 1-10 score. Higher means more multi-select items, longer scenario questions, more interactive code items and deeper explanations — that is, questions that require reasoning rather than recall.