200+ Free OCI AI Foundations Practice Questions

Pass your Oracle Cloud Infrastructure 2025 AI Foundations Associate (1Z0-1122-25) exam on the first try — instant access, no signup required.

✓ No registration✓ No credit card✓ No hidden fees✓ Start practicing immediately

200+ Questions

100% Free

1 / 200

Question 1

Score: 0/0

Which statement best describes artificial intelligence?

It enables systems to perform tasks that typically require human-like perception, reasoning, or language understanding

It stores all business data in relational tables

It guarantees perfect decisions in every situation

It refers only to physical robots

to track

2026 Statistics

Key Facts: OCI AI Foundations Exam

Exam Questions

Oracle University

60 min

Exam Duration

Oracle University

65%

Passing Score

Oracle University

$245

Exam Fee

Oracle University

20%

Largest Domain

Intro to OCI AI Services

May 29, 2026

Current Exam Retirement

Oracle University

As of March 11, 2026, Oracle University lists the OCI AI Foundations exam 1Z0-1122-25 as a 40-question, 60-minute multiple-choice exam with a 65% passing score and a $245 USD exam attempt price. Oracle's official 2025 blueprint weights Intro to OCI AI Services at 20%, five domains at 15% each, and AI Foundations plus OCI Generative AI and Oracle 23ai at 10% each. Oracle also states that this current exam retires on May 29, 2026, with a replacement exam planned for June 2026.

Sample OCI AI Foundations Practice Questions

Try these sample questions to test your OCI AI Foundations exam readiness. Each question includes a detailed explanation. Start the interactive quiz above for the full 200+ question experience with AI tutoring.

1Which statement best describes artificial intelligence?

A.It enables systems to perform tasks that typically require human-like perception, reasoning, or language understanding

B.It stores all business data in relational tables

C.It guarantees perfect decisions in every situation

D.It refers only to physical robots

Explanation: Artificial intelligence is the broader field focused on building systems that can perform tasks associated with human intelligence. Those tasks can include perception, language understanding, prediction, recommendation, or decision support, even when no robot is involved.

2Which example is unstructured data commonly used in AI projects?

A.A table of monthly revenue by region

B.An audio recording of a customer support call

C.A spreadsheet column of invoice totals

D.A list of product IDs

Explanation: Audio recordings are unstructured because they do not arrive in neat rows and columns with fixed fields. AI systems often need specialized processing to turn speech, images, or free text into representations that models can learn from.

3How do AI, machine learning, and deep learning relate to one another?

A.AI is a subset of machine learning, which is a subset of deep learning

B.Deep learning is a subset of machine learning, which is a subset of AI

C.AI and machine learning are identical terms

D.Deep learning is unrelated to AI

Explanation: AI is the broadest concept, machine learning is one approach within AI, and deep learning is a specialized approach within machine learning. Oracle frames this hierarchy clearly because many exam questions test whether you can separate the umbrella term from its subfields.

4Which business scenario is a common AI personalization use case?

A.Recommending products based on a customer's past behavior

B.Allocating IP subnets for a network

C.Compressing archived log files

D.Encrypting backup volumes

Explanation: Recommendation engines are a classic AI application because they infer likely user preferences from prior behavior and related patterns. The other options are standard IT or security tasks rather than personalization workloads.

5What makes a system machine learning rather than purely rule-based automation?

A.It learns patterns from data to improve predictions or decisions

B.It uses only manually written if/then rules

C.It never needs historical examples

D.It always requires a physical sensor

Explanation: Machine learning uses data to learn relationships instead of depending entirely on rules written in advance by a developer. A rule-based system can still be useful, but it does not adapt by learning from examples in the same way.

6Why is unstructured data often harder to use directly than structured data?

A.It always contains incorrect values

B.It usually lacks a fixed schema and needs additional representation or feature extraction

C.It can never be stored in the cloud

D.It cannot be used by AI models

Explanation: Structured data already fits defined columns such as age, price, or balance, so models can often consume it more directly. Unstructured text, images, and audio usually need extra processing so their meaning can be represented in a form that a model can learn from.

7Which statement best distinguishes deep learning from many traditional machine learning methods?

A.Deep learning depends only on fixed business rules

B.Deep learning uses multi-layer neural networks to learn representations automatically

C.Deep learning works only on structured tables

D.Deep learning cannot process images or text

Explanation: Deep learning relies on neural networks with multiple layers that can discover useful patterns and representations from data. That is one reason it is widely used for complex inputs such as images, audio, and natural language.

8An insurer wants to route free-text claim notes into categories such as billing, accident, or theft. Which description fits best?

A.An AI task on unstructured text

B.An AI task on structured sensor readings

C.A storage optimization task

D.A network routing task

Explanation: Free-text notes are unstructured text, so this is an AI use case centered on language understanding. The goal is to identify meaning from text and assign the note to the right category for downstream handling.

9Which statement about AI and machine learning is accurate?

A.Every AI system uses machine learning

B.AI can include rule-based systems that do not learn from data

C.Machine learning is broader than AI

D.Deep learning is unrelated to machine learning

Explanation: Machine learning is one way to build AI, but it is not the only way. Rule-based expert systems are a standard example of AI that can make decisions from encoded knowledge without learning those patterns from training data.

10Why is deep learning often applied to images and free text, while classic machine learning often starts with structured tables?

A.Deep learning is the only method allowed for AI projects

B.Deep learning can learn useful features from raw complex data, while structured tables already organize values into explicit columns

C.Structured data cannot be used in machine learning

D.Images and text always come with perfect labels

Explanation: Images and text contain complex patterns that are not already broken into neat numeric fields, so representation learning is especially valuable. Structured tables already expose variables in columns, which is why many traditional ML workflows start there more naturally.

About the OCI AI Foundations Exam

The OCI AI Foundations exam is Oracle's beginner-friendly certification for candidates who want to understand core AI concepts and how Oracle packages them across OCI. The current 2025 version blends conceptual AI, machine learning, deep learning, and generative AI material with practical OCI AI portfolio coverage, Oracle 23ai AI features, and the core OCI AI services that appear in Oracle's public objective list.

Assessment

40 multiple-choice questions

Time Limit

60 minutes

Passing Score

65%

Exam Fee

$245 USD (Oracle University / Oracle MyLearn)

OCI AI Foundations Exam Content Outline

10%

Intro to AI Foundations

Understand AI basics, common AI applications, the role of structured and unstructured data, and the core distinction between AI, machine learning, and deep learning.

15%

Intro to ML Foundations

Review machine learning basics and the differences between supervised, unsupervised, and reinforcement learning, including the kinds of problems each approach is meant to solve.

15%

Intro to DL Foundations

Know deep learning fundamentals along with the purpose of convolutional neural networks for image-style tasks and sequence models such as RNNs and LSTMs for ordered data.

15%

Intro to Generative AI and LLMs

Study generative AI concepts, large language model basics, transformer fundamentals, prompt engineering, instruction tuning, and what fine-tuning changes compared with base prompting.

15%

Get Started with OCI AI Portfolio

Understand the OCI AI portfolio at a high level, including OCI AI services, OCI ML services, OCI AI infrastructure, and Oracle's responsible-AI framing for production usage.

10%

OCI Generative AI and Oracle 23ai

Be able to identify OCI Generative AI service capabilities and connect them to Oracle Database features such as Autonomous Database Select AI and Oracle Vector Search.

20%

Intro to OCI AI Services

Recognize the main OCI AI services and APIs, especially Language, Vision, Document Understanding, and Speech, and match each service to the business problem it is designed to solve.

How to Pass the OCI AI Foundations Exam

What You Need to Know

Passing score: 65%
Assessment: 40 multiple-choice questions
Time limit: 60 minutes
Exam fee: $245 USD

Keys to Passing

Complete 500+ practice questions
Score 80%+ consistently before scheduling
Focus on highest-weighted sections
Use our AI tutor for tough concepts

OCI AI Foundations Study Tips from Top Performers

1Protect the 20% OCI AI Services domain first because it is the largest single section and tends to reward clear service-to-use-case matching.

2Memorize the boundaries between AI, ML, DL, and generative AI so you do not give a deep-learning answer to a broader machine-learning question.

3Practice classifying use cases into supervised, unsupervised, and reinforcement learning until the problem types feel automatic.

4Do not overcomplicate the deep-learning section. Oracle frames it at a foundations level, so focus on what CNNs and sequence models are for rather than low-level math.

5Spend time on prompt engineering, instruction tuning, fine-tuning, and transformer basics because Oracle treats generative AI and LLMs as a distinct 15% domain.

6Use timed 40-question practice sets so the official 60-minute pacing feels normal before the real exam.

Frequently Asked Questions

What are the current official exam facts for OCI AI Foundations?

Oracle University's current exam product for 1Z0-1122-25 lists 40 questions, a 60-minute time limit, a 65% passing score, and a $245 USD exam attempt price. Oracle also states that the exam has been validated against Oracle Cloud Infrastructure 2025.

Does OCI AI Foundations require prior AI or coding experience?

No. Oracle's official learning path says there are no prerequisites, no prior familiarity with AI or machine learning is required, and no coding experience is required. That is why the exam is positioned as a foundations-level entry point rather than an engineer-level implementation exam.

Which domain matters most on the OCI AI Foundations exam?

Intro to OCI AI Services is the largest single domain at 20% of the exam, so it deserves the most direct study time. You should be comfortable mapping Language, Vision, Document Understanding, and Speech to the right use cases before test day.

What changed in 2026 for OCI AI Foundations?

Oracle's current exam page states that 1Z0-1122-25 retires on May 29, 2026, and that a new exam will be available in June 2026. As of March 11, 2026, the active public blueprint is still the 2025 version, so candidates should make sure their prep matches that objective list.

How long is an OCI AI certification valid?

Oracle's certification guidelines state that Oracle Cloud Infrastructure certifications are valid for 24 months from the date the credential is earned. Candidates planning a longer certification path should factor that two-year validity window into their timing.

What is the best study approach for OCI AI Foundations?

Start by locking down the conceptual differences across AI, ML, DL, and generative AI, then move into OCI service-recognition questions. The fastest score gains usually come from pairing those basics with scenario practice on OCI Language, Vision, Document Understanding, Speech, OCI Generative AI, Select AI, and Vector Search.