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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: Deep Learning Foundations | 15% | - Deep Learning and neural networks
|
| Topic 3: AI Foundations | 10% | - Artificial Intelligence basics and terminology
|
| Topic 4: OCI AI Portfolio | 15% | - Overview of OCI AI offerings
|
| Topic 5: Generative AI and Large Language Models | 15% | - Generative AI concepts
|
| Topic 6: Machine Learning Foundations | 15% | - Machine Learning fundamentals
|
| Topic 7: OCI Generative AI and Oracle 23ai | 10% | - OCI Generative AI Service features
|
Oracle Cloud Infrastructure 2026 AI Foundations Associate Sample Questions:
What is the purpose of Attention Mechanism in Transformer architecture?
- A. Convert tokens into numerical forms (vectors) that the model can understand.
- B. Weigh the importance of different words within a sequence and understand the context.
- C. Apply a specific function to each word individually.
- D. Break down a sentence into smaller pieces called tokens.
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Which AI Ethics principle leads to the Responsible AI requirement of transparency?
- A. Prevention of harm
- B. Explicability
- C. Fairness
- D. Respect for human autonomy
What is the primary benefit of using Oracle Cloud Infrastructure Supercluster for AI workloads?
- A. It is ideal for tasks such as text-to-speech conversion.
- B. It provides a cost-effective solution for simple AI tasks.
- C. It delivers exceptional performance and scalability for complex AI tasks.
- D. It offers seamless integration with social media platforms.
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Which capability is supported by the Oracle Cloud Infrastructure Vision service?
- A. Detecting and preventing fraud in financial transactions
- B. Generating realistic images from text
- C. Detecting vehicle number plates to issue speed citations
- D. Analyzing historical data for unusual patterns
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What is the difference between classification and regression in Supervised Machine Learning?
- A. Classification and regression both predict continuous values.
- B. Classification predicts continuous values, whereas regression assigns data points to categories.
- C. Classification assigns data points to categories, whereas regression predicts continuous values.
- D. Classification and regression both assign data points to categories.
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