Free 1z0-1122-25: Oracle Cloud Infrastructure 2025 AI Foundations Associate Exam Questions and Answers

A hospital plans an AI project that uses three data sources: chest X-ray image files, free-text notes written by physicians, and a table of lab values with fixed columns such as hemoglobin and glucose. Which classification of these data types is correct?

• AA. X-ray images are unstructured, physician notes are unstructured, and lab values are structured
• BB. X-ray images are unstructured, physician notes are unstructured, and lab values are unstructured
• CC. X-ray images are unstructured, physician notes are structured, and lab values are structured
• DD. X-ray images are structured, physician notes are unstructured, and lab values are structured

Which statement correctly describes the relationship among artificial intelligence, machine learning, and deep learning?

• AA. Machine learning and deep learning are separate fields that are both independent of artificial intelligence
• BB. Deep learning is a subset of machine learning, which is itself a subset of artificial intelligence
• CC. Machine learning is a subset of deep learning, which is itself a subset of artificial intelligence
• DD. Artificial intelligence is a subset of machine learning, which is itself a subset of deep learning

A data scientist trains a classification model. It reaches 99% accuracy on the training set but only 71% on a held-out validation set. What does this result indicate, and what is a suitable next step?

• AA. The model is overfitting, so more training data or regularization should be applied
• BB. The model is underfitting, so a simpler architecture with fewer input features should be used
• CC. The model generalizes well, so it can be deployed because training accuracy is so high
• DD. The model has high bias, so training should continue for more epochs at a lower learning rate

In a convolutional neural network, which layer reduces the spatial size of feature maps while keeping the most important information?

• AA. Fully connected layer
• BB. Pooling layer
• CC. Convolutional layer
• DD. Input layer

Which task is an example of unsupervised learning?

• AA. Training an agent to maximize a cumulative reward by trial and error in a game
• BB. Classifying incoming emails as spam or not spam from a set of labeled examples
• CC. Grouping customers into segments based on purchasing behavior when no segment labels exist
• DD. Predicting the sale price of a house from a set of labeled historical sales records

A business analyst wants to ask questions about data in Autonomous Database using plain English and have a large language model translate each question into SQL. Which capability should the team use?

• AA. Oracle Data Safe
• BB. Database Actions SQL Worksheet
• CC. AI Vector Search
• DD. Select AI

Which scenario is an example of a generative AI use case?

• AA. Flagging fraudulent card transactions by labeling each one as legitimate or not
• BB. Grouping warehouse items into categories based on similar order patterns
• CC. Producing a first draft of marketing copy from a short text instruction
• DD. Forecasting next quarter's sales from a table of historical revenue figures

What is the role of an activation function in a neural network?

• AA. It removes correlated columns from the input to reduce the number of features
• BB. It splits the dataset into training and validation subsets before each epoch
• CC. It introduces non-linearity so the network can learn complex patterns in data
• DD. It computes the gradient of the loss with respect to each weight in the network

A software company wants its chat model to reply in the exact format and product jargon used by its support team. It has 5,000 past ticket prompts paired with approved replies. Which approach is MOST suitable?

• AA. Lower the temperature setting so the model gives more consistent replies
• BB. Fine-tune a pretrained base model on the prompt and reply pairs
• CC. Train a new model from scratch using public web text
• DD. Increase the maximum output tokens so the model writes fuller answers

What is the purpose of the playground in the OCI Generative AI service?

• AA. To test models by entering prompts and adjusting parameters such as temperature in the Console
• BB. To review token consumption and billing across the compartments of a tenancy
• CC. To provision GPU instances for pretraining a foundation model from scratch
• DD. To package trained models as containers for deployment to Kubernetes clusters