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Oracle 1z0-1122-26 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Introduction to OCI AI Services | 20% | - OCI AI Service APIs
|
| Machine Learning Foundations | 15% | - Machine Learning fundamentals
|
| Deep Learning Foundations | 15% | - Deep Learning and neural networks
|
| AI Foundations | 10% | - Artificial Intelligence basics and terminology
|
| Generative AI and Large Language Models | 15% | - Generative AI concepts
|
| OCI Generative AI and Oracle 23ai | 10% | - OCI Generative AI Service features
|
| OCI AI Portfolio | 15% | - Overview of OCI AI offerings
|
Oracle Cloud Infrastructure 2026 AI Foundations Associate Sample Questions:
What does " fine-tuning " refer to in the context of OCI Generative AI service?
- A. Doubling the neural network layers
- B. Adjusting the model parameters to improve accuracy
- C. Upgrading the hardware of the AI clusters
- D. Encrypting the data for security reasons
Correct Answer: B 🗳️
Explanation: Only visible for Prep4sures members. You can sign-up / login (it's free).
How is " Prompt Engineering " different from " Fine-tuning " in the context of Large Language Models (LLMs)?
- A. Prompt Engineering modifies training data, while Fine-tuning alters the model ' s structure.
- B. Both involve retraining the model, but Prompt Engineering does it more often.
- C. Prompt Engineering adjusts the model ' s parameters, while Fine-tuning crafts input prompts.
- D. Prompt Engineering creates input prompts, while Fine-tuning retrains the model on specific data.
Correct Answer: D 🗳️
Explanation: Only visible for Prep4sures members. You can sign-up / login (it's free).
You are training a logistic regression model to classify emails as spam or not spam. The model is currently classifying too many emails as spam. What would you do to adjust the model?
- A. Increase the threshold value for classification.
- B. Increase the regularization parameter.
- C. Decrease the weight of the feature representing the presence of certain keywords.
- D. Decrease the number of iterations.
Correct Answer: A 🗳️
Explanation: Only visible for Prep4sures members. You can sign-up / login (it's free).
What is the purpose of Attention Mechanism in Transformer architecture?
- A. Weigh the importance of different words within a sequence and understand the context.
- B. Convert tokens into numerical forms (vectors) that the model can understand.
- C. Break down a sentence into smaller pieces called tokens.
- D. Apply a specific function to each word individually.
Correct Answer: A 🗳️
Explanation: Only visible for Prep4sures members. You can sign-up / login (it's free).
What are Convolutional Neural Networks (CNNs) primarily used for?
- A. Time series prediction
- B. Text processing
- C. Image generation
- D. Image classification
Correct Answer: D 🗳️
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