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Oracle 1z0-1122-26 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Machine Learning Foundations | 15% | - Machine Learning fundamentals
|
| 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
|
| Introduction to OCI AI Services | 20% | - OCI AI Service APIs
|
| Deep Learning Foundations | 15% | - Deep Learning and neural networks
|
| AI Foundations | 10% | - Artificial Intelligence basics and terminology
|
Oracle Cloud Infrastructure 2026 AI Foundations Associate Sample Questions:
Which AI domain can be employed for identifying patterns in images and extract relevant features?
- A. Natural Language Processing
- B. Computer Vision
- C. Speech Processing
- D. Anomaly Detection
Correct Answer: B 🗳️
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What would you use Oracle AI Vector Search for?
- A. Store business data in a cloud database.
- B. Query data based on semantics.
- C. Manage database security protocols.
- D. Query data based on keywords.
Correct Answer: B 🗳️
Explanation: Only visible for DumpsTorrent members. You can sign-up / login (it's free).
What key objective does machine learning strive to achieve?
- A. Enabling computers to learn and improve from experience
- B. Creating algorithms to solve complex problems
- C. Explicitly programming computers
- D. Improving computer hardware
Correct Answer: A 🗳️
Explanation: Only visible for DumpsTorrent members. You can sign-up / login (it's free).
You are training a deep learning model to classify images. What is the primary function of the convolutional layer?
- A. To generate new images.
- B. To reduce the spatial dimensions of the input image.
- C. To detect specific features in the input image.
- D. To classify the input image.
Correct Answer: C 🗳️
Explanation: Only visible for DumpsTorrent members. You can sign-up / login (it's free).
What is " in-context learning " in the realm of Large Language Models (LLMs)?
- A. Teaching a model through zero-shot learning
- B. Modifying the behavior of a pretrained LLM permanently
- C. Training a model on a diverse range of tasks
- D. Providing a few examples of a target task via the input prompt
Correct Answer: D 🗳️
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