1Z0-1122-25
Free Oracle Cloud Infrastructure 2025 AI Foundations Associate Practice Test
12 exam-style questions with full explanations — no sign-up. Score yourself, then close your gaps with the full course.
7 exam domainsLevel Beginner2 timed practice tests in the course
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A retail company has three years of monthly sales data for each product and wants a model that predicts next quarter's demand for inventory planning. Which AI task category BEST fits this requirement?
Forecasting uses historical time-series data to predict future numeric values such as demand, revenue, or inventory needs — exactly the described scenario.
A real estate analytics team has a labeled dataset of past home sales, including features like square footage, location, and the actual sale price for each home. They want to build a model that predicts the sale price of a new home based on its features. Which machine learning paradigm BEST fits this task?
The dataset contains labeled examples (features paired with a known continuous output, sale price), and the target variable is numeric — this is the classic definition of supervised regression.
An activation function in an artificial neural network is applied to the weighted sum of inputs at each neuron. What is its primary purpose?
Without activation functions, a neural network would just be a linear transformation regardless of depth. Activation functions (like ReLU, sigmoid) introduce non-linearity, enabling the network to approximate complex, non-linear functions.
Which statement best distinguishes a generative AI model from a discriminative (predictive) AI model?
Generative models learn the underlying distribution of data so they can create new, original outputs (text, images, code), whereas discriminative models learn a decision boundary to classify or predict labels for given inputs.
A customer support team wants to automatically extract sentiment and key phrases from thousands of incoming tickets. They have no data scientists on staff and want a solution that works immediately via a simple API call with no model training required. Which OCI service BEST meets this requirement?
OCI Language is a pretrained AI Service that performs sentiment analysis and key phrase extraction out of the box via a REST API, requiring no model training or data science expertise.
A manufacturing company wants to automatically inspect images captured on its assembly line and draw bounding boxes around defective parts so operators can quickly identify problem areas. Which OCI AI Service BEST meets this requirement?
OCI Vision provides object detection, which identifies and localizes objects within images using bounding boxes, exactly matching the requirement to visually flag defective parts.
A retail company wants a chatbot that answers customer questions using the latest product manuals stored in Oracle Database 23ai, and the manuals are updated weekly. The company wants the chatbot to always reflect the newest content without retraining a model every week. Which approach BEST meets these requirements?
RAG with OCI Generative AI Agents retrieves current content directly from AI Vector Search in Oracle Database 23ai at query time, so answers automatically reflect the latest manuals without any retraining.
A manufacturing plant installs cameras on its assembly line to automatically flag products with surface scratches before they are packaged. Which AI capability is being applied?
Computer vision enables machines to interpret and analyze visual input from images or video, which is required to detect physical defects like scratches on a product.
A retail company has a large database of customer purchase histories but no predefined categories or labels for customer types. They want to discover natural groupings of similar customers based on purchasing behavior, without specifying in advance what those groups should look like. Which approach BEST addresses this requirement?
Clustering, an unsupervised learning technique, discovers natural groupings in unlabeled data based on similarity, which matches the described need with no predefined labels.
A retail company wants to build a model to classify product photos into categories such as shoes, bags, and clothing. Which deep learning architecture is BEST suited for this image classification task?
CNNs use convolutional layers with filters that detect spatial patterns like edges, shapes, and textures, making them the standard architecture for image classification tasks.
A company's LLM-powered support assistant needs to answer questions using the company's internal knowledge base, which is updated daily with new product documentation. The company wants answers to reflect the latest documents without retraining the model. Which approach BEST meets this requirement?
RAG retrieves the most current, relevant external documents at inference time and injects them into the prompt context, letting the model generate grounded answers without any retraining, which is ideal for frequently changing knowledge bases.
A retail company stores sales data in Oracle Database 23ai and wants business analysts, who do not know SQL, to ask questions like 'What were total sales in Q3 by region?' and get an answer directly from the database. Which OCI capability should they use?
Select AI in Oracle Database 23ai lets users pose natural language questions that are translated into SQL and run against the database, returning results without the user writing SQL.
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What topics are on the exam?
It covers 7 domains: Intro to AI Foundations (10%), Intro to Machine Learning Foundations (15%), Intro to Deep Learning Foundations (15%), Intro to Generative AI and LLMs (15%), Get Started with the OCI AI Portfolio (15%), Intro to OCI AI Services (20%), OCI Generative AI Service and Oracle Database 23ai (10%). The full course has a dedicated chapter, lab and practice-test coverage for each.
Is this practice test really free?
Yes — all questions on this page are free with explanations and no sign-up. The paid Udemy course adds two full-length timed exams, video lessons and hands-on labs.
Will this prepare me for the real exam?
The questions mirror the real exam's style and are mapped to the official domains. This is exam-focused preparation — combine the free test with the full course's timed simulations to gauge your readiness.