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Oracle 1z0-1122-26 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Introduction to OCI AI Services | 20% | - OCI AI Service APIs
|
| Topic 2: Machine Learning Foundations | 15% | - Machine Learning fundamentals
|
| Topic 3: Generative AI and Large Language Models | 15% | - Generative AI concepts
|
| Topic 4: Deep Learning Foundations | 15% | - Deep Learning and neural networks
|
| Topic 5: AI Foundations | 10% | - Artificial Intelligence basics and terminology
|
| Topic 6: OCI Generative AI and Oracle 23ai | 10% | - OCI Generative AI Service features
|
| Topic 7: OCI AI Portfolio | 15% | - Overview of OCI AI offerings
|
Oracle Cloud Infrastructure 2026 AI Foundations Associate Sample Questions:
What is a key advantage of using dedicated AI clusters in the OCI Generative AI service?
- A. They provide high performance compute resources for fine-tuning tasks.
- B. They are free of charge for all users.
- C. They provide faster internet connection speeds.
- D. They allow access to unlimited database resources.
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What distinguishes Generative AI from other types of AI?
- A. Generative AI involves training models to perform tasks without human intervention.
- B. Generative AI creates diverse content such as text, audio, and images by learning patterns from existing data.
- C. Generative AI uses algorithms to predict outcomes based on past data.
- D. Generative AI focuses on making decisions based on user interactions.
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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. Improving computer hardware
- D. Explicitly programming computers
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Which statement best describes the relationship between Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL)?
- A. DL is a subset of AI, and ML is a subset of DL.
- B. ML is a subset of AI, and DL is a subset of ML.
- C. AI, ML, and DL are entirely separate fields with no overlap.
- D. AI is a subset of DL, which is a subset of ML.
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Lisa is working on a project that involves transcribing thousands of audio files stored in Oracle Cloud. She wants to process multiple files efficiently instead of transcribing them one by one. Which OCI Speech feature should Lisa use?
- A. Timestamping
- B. Batch support
- C. Profanity filtering
- D. Confidence scoring
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