1Z0-1122-25 Sample Questions & Answers
You'll be tested on OCI's AI service APIs for language, vision, document and speech, the largest share, plus machine learning and deep learning basics, generative AI and transformers, the broader OCI AI and ML portfolio, and 23ai vector search.
Launch the full 1Z0-1122-25 simulator →Showing 6 of 12 free samples.
- Question 1Intermediate
Intro to DL Foundations · Convolutional Models (CNN)
When designing a neural network for an image recognition task, which layer type is primarily responsible for extracting spatial features such as edges and textures?
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Correct answer: B
Convolutional layers apply filters (kernels) to the input image to create feature maps, detecting patterns like edges, shapes, and textures. Pooling layers reduce dimensionality, and fully connected layers perform the final classification.
- Question 2Intermediate
Intro to ML Foundations · Machine Learning Basics
A data scientist observes that a machine learning model performs exceptionally well on training data but fails to generalize to new, unseen data, showing high variance. What is this phenomenon called?
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Correct answer: A
Overfitting occurs when a model learns the training data too closely, including its noise and outliers, resulting in poor performance on new data (high variance). Underfitting is when the model is too simple to capture the underlying pattern (high bias).
- Question 3Beginner
Intro to OCI AI Services · OCI Language Service
Which OCI AI Service is best suited for automatically redacting Personally Identifiable Information (PII) from large volumes of customer support text logs?
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Correct answer: A
OCI Language provides pre-trained models for text analysis, including Named Entity Recognition (NER) which can identify and redact PII entities like names, addresses, and phone numbers from unstructured text.
- Question 4Intermediate
Intro to Generative AI & LLMs · Prompt Engineering & Instruction Tuning
In the context of Large Language Models (LLMs), what is the function of the 'Temperature' parameter during text generation?
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Correct answer: A
Temperature controls the probability distribution of the next token. Low temperature (near 0) makes the model choose the most likely next token (deterministic). High temperature increases randomness, leading to more diverse and creative outputs.
- Question 5Advanced
Intro to Generative AI & LLMs · Generative AI Overview
A developer needs to implement a feature that allows users to ask questions about a specific set of internal policy documents using a Generative AI model. The model should not be retrained, but it must reference the accurate internal data. Which architecture is best suited for this requirement?
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Correct answer: B
RAG retrieves relevant information from an external knowledge base (like internal documents) and provides it to the LLM as context along with the user's query. This allows the model to answer based on proprietary data without needing fine-tuning.
- Question 6Beginner
Intro to ML Foundations · Supervised Learning Fundamentals (Regression & Classification)
You are training a machine learning model to predict housing prices based on features like square footage, location, and number of bedrooms. This is an example of which type of ML task?
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Correct answer: C
Regression is a type of supervised learning used to predict a continuous numerical value (like a price). Classification is used for categorical outputs (like 'Yes/No').
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