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Oracle Cloud Infrastructure 2026 AI Foundations Associate
What the Oracle Cloud Infrastructure 2026 AI Foundations Associate exam covers and what it costs, with a free 30-question practice test and an explanation for every answer.
- Level
- Foundational
- Topic areas
- 4
- Free practice questions
- 30
- Full question bank
- 110 questions
What the Oracle Cloud Infrastructure 2026 AI Foundations Associate exam covers
The topic areas in our Oracle Cloud Infrastructure 2026 AI Foundations Associate question bank, with each one's share of the 110 practice questions.
| Topic | Share | Questions |
|---|---|---|
| Generative AI and Large Language Models | 33% | 36 |
| AI and Machine Learning Fundamentals | 29% | 32 |
| OCI AI Services | 22% | 24 |
| Oracle Database 23ai and Vector Search | 16% | 18 |
Oracle Cloud Infrastructure 2026 AI Foundations Associate cost and format
| Certification | OCI AI Foundations Associate |
|---|---|
| Vendor | Oracle |
| Level | Foundational |
| Status | Active |
Last checked October 22, 2026 against the official Oracle exam page.
Oracle Cloud Infrastructure 2026 AI Foundations Associate sample questions
The first 5 questions from the free practice test. Open a question to see the answer and why it is right.
Question 1Generative AI and Large Language Models
What is a large language model (LLM)?
- AA visualisation tool that draws charts of large datasets for the business users in the reporting team each month
- BA database that stores very large files for the customer's use and provides fast retrieval of the records stored in them
- CA network device that routes very large volumes of traffic between data centres for the cloud provider's own infrastructure
- DA model trained on large amounts of text to predict and generate language, which can answer questions and summarise content
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Correct answer: DAn LLM is trained on large text corpora to predict and generate language. Storage, network devices and charting tools are different technologies.
Question 2AI and Machine Learning Fundamentals
Which type of machine learning learns from labelled examples in order to predict a known output?
- ASupervised learning, which learns a mapping from labelled inputs to known outputs
- BUnsupervised learning, which finds structure in unlabelled data without any known output that the model must predict
- CReinforcement learning, which learns from rewards and penalties received after taking actions within an environment
- DClustering alone, which groups similar items together but never predicts a labelled outcome from the examples it is given
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Correct answer: ASupervised learning uses labelled examples to learn how inputs map to known outputs. Unsupervised learning and clustering work without labelled outputs, and reinforcement learning learns from rewards rather than labels.
Question 3OCI AI Services
Which OCI AI service extracts text from images and scanned documents?
- AOCI Compute, which provides virtual machines but has no built-in document text extraction capability of its own
- BOCI Object Storage, which keeps the files that customers upload but does not read or interpret their content in any way
- COCI Network Firewall, which filters network traffic but does not read the content of documents passing through it at all
- DOCI Vision with text recognition, or Document Understanding for structured extraction from documents
Show answer and explanationHide answer
Correct answer: DOCI Vision provides text recognition and Document Understanding extracts structured data from documents. Storage, firewalls and compute do not interpret document content.
Question 4Oracle Database 23ai and Vector Search
What is a vector embedding?
- AA security token used to sign requests to the database from the application each time that it connects to the database
- BA vector drawing file format used for logos and icons that the design team stores in the team's shared repository for use
- CA list of the database tables that are linked together by foreign keys in the schema of the application database used
- DA numeric representation of data such as text, which captures its meaning so that similar items sit close together
Show answer and explanationHide answer
Correct answer: DEmbeddings are numeric vectors that represent meaning, so that similarity can be measured. Drawing formats, table lists and security tokens are unrelated.
Question 5Generative AI and Large Language Models
What is a prompt when working with a generative AI model?
- AThe input text or instructions given to a generative model to guide its response
- BA warning message from the database that a query has taken longer than expected to complete during its run
- CThe output of a model after it has been fine-tuned on the customer's own dataset for a new task in the project
- DA password entered by the user to access the generative AI service in the cloud account on each sign-in
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Correct answer: AA prompt is the input or instructions that guide a generative model. Database warnings, fine-tuned outputs and passwords are unrelated.
How to prepare for Oracle Cloud Infrastructure 2026 AI Foundations Associate
- Read the official Oracle outline first (exam page), so you know exactly what is in scope.
- Give the most time to Generative AI and Large Language Models and AI and Machine Learning Fundamentals: together they make up 62% of the questions.
- Take the free 30-question practice test and note which topics you miss.
- Go back to the weak topics, then test again. A practice score shows where to study; it does not predict your exam result.
Full Oracle Cloud Infrastructure 2026 AI Foundations Associate question bank
All 110 questions with answers and explanations, as a PDF, an online practice exam, or both.
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