Pass Oracle OCI AI Foundations — the First Time

1. A retail analytics team stores customer records in a relational database with clearly defined columns such as customer ID, purchase amount, and transaction date. Which category of data best describes this dataset?

   • A. Unstructured data
   • B. Streaming-only data
   • C. Semi-structured data
   • D. Structured data

   Answer: D. Data organized into fixed rows and columns within a relational database, with a predefined schema, is structured data. Unstructured data (images, free-text, audio) has no predefined model, and semi-structured data (JSON, XML) carries tags but no rigid table schema. 'Streaming-only' describes how data arrives, not its structure.

   Exam domain: Intro to AI Foundations

2. Which statement correctly describes the relationship among Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL)?

   • A. Deep Learning is a broad field that contains Machine Learning, which in turn contains AI
   • B. AI, ML, and DL are three completely separate and unrelated fields
   • C. Machine Learning is a subset of AI, and Deep Learning is a subset of Machine Learning
   • D. Deep Learning and AI are the same thing, while Machine Learning is unrelated

   Answer: C. AI is the broadest field; ML is a subset of AI that learns patterns from data; DL is a subset of ML that uses multi-layered neural networks. Option A reverses the hierarchy, and the other options misstate the nested relationship.

   Exam domain: Intro to AI Foundations

3. A bank wants to predict the exact dollar amount a customer is likely to spend next month based on historical spending. Which type of machine learning task does this represent?

   • A. Classification
   • B. Dimensionality reduction
   • C. Clustering
   • D. Regression

   Answer: D. Predicting a continuous numeric value (a dollar amount) is a regression task. Classification predicts discrete categories, clustering groups unlabeled data, and dimensionality reduction compresses features rather than predicting a target value.

   Exam domain: Intro to AI Foundations

4. A data science team has a dataset of 50,000 historical loan applications, each tagged with whether the borrower ultimately defaulted or repaid. They want to train a model that predicts default for new applicants. Which category of machine learning does this scenario describe?

   • A. Reinforcement learning, because the model learns from reward signals
   • B. Unsupervised learning, because the model discovers structure on its own
   • C. Semi-structured learning, because the data has both numbers and text
   • D. Supervised learning, because the training data includes known output labels

   Answer: D. Supervised learning trains on data where each example carries a known label (here, defaulted vs. repaid), and the model learns to map inputs to those labels. Unsupervised learning has no labels, and reinforcement learning learns from rewards through trial-and-error interaction. 'Semi-structured learning' is not a real ML category.

   Exam domain: Intro to ML Foundations

5. An autonomous warehouse robot improves its navigation policy over time by receiving positive feedback when it reaches a target shelf quickly and negative feedback when it collides with obstacles. Which type of machine learning is the robot using?

   • A. Transfer learning
   • B. Supervised learning
   • C. Reinforcement learning
   • D. Unsupervised learning

   Answer: C. Reinforcement learning is defined by an agent that learns a policy through trial and error using reward and penalty signals from its environment, exactly as described. Supervised learning requires labeled examples, and unsupervised learning finds patterns in unlabeled data. Transfer learning is a technique for reusing a pretrained model, not a feedback-driven paradigm.

   Exam domain: Intro to ML Foundations

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