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Oracle 1z0-1122-26 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Get started with OCI AI Portfolio | 15% | - Discuss OCI AI Services Overview - Discuss OCI ML Services Overview - Discuss OCI AI Infrastructure Overview - Explain Responsible AI |
| OCI Generative AI and Oracle 23ai | 10% | - Discuss Oracle Vector Search - Discuss Autonomous Database Select AI - Describe OCI Generative AI Services |
| Intro to AI Foundations | 10% | - Discuss AI Basics - Discuss AI Applications and Types of Data - Explain AI vs ML vs DL |
| Intro to OCI AI Services | 20% | - OCI Language - OCI Document Understanding - OCI Speech - OCI Vision |
| Intro to ML Foundations | 15% | - Discuss Reinforcement Learning Fundamentals - Discuss Unsupervised Learning Fundamentals - Explain Machine Learning Basics - Discuss Supervised Learning Fundamentals
|
| Intro to DL Foundations | 15% | - Explain Convolutional Models (CNN) - Explain Sequence Models (RNN and LSTM) - Discuss Deep Learning Fundamentals |
| Intro to Generative AI and LLMs | 15% | - Explain LLM Fine Tuning - Explain Prompt Engineering and Instruction Tuning - Discuss Generative AI Overview - Explain Transformers Fundamentals - Discuss Large Language Models Fundamentals |
Oracle Cloud Infrastructure 2026 AI Foundations Associate Sample Questions:
What would you use Oracle AI Vector Search for?
- A. Store business data in a cloud database.
- B. Query data based on semantics.
- C. Query data based on keywords.
- D. Manage database security protocols.
Explanation: Only visible for Lead2Passed members. You can sign-up / login (it's free).
How do Large Language Models (LLMs) handle the trade-off between model size, data quality, data size and performance?
- A. They disregard model size and prioritize high-quality data only.
- B. They prioritize larger model sizes to achieve better performance.
- C. They ensure that the model size, training time, and data size are balanced for optimal results.
- D. They focus on increasing the number of tokens while keeping the model size constant.
What does " fine-tuning " refer to in the context of OCI Generative AI service?
- A. Adjusting the model parameters to improve accuracy
- B. Upgrading the hardware of the AI clusters
- C. Doubling the neural network layers
- D. Encrypting the data for security reasons
Explanation: Only visible for Lead2Passed 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 classification
- D. Image generation
Explanation: Only visible for Lead2Passed members. You can sign-up / login (it's free).
What role do Transformers perform in Large Language Models (LLMs)?
- A. Image recognition tasks in LLMs
- B. Provide a mechanism to process sequential data in parallel and capture long-range dependencies
- C. Limit the ability of LLMs to handle large datasets by imposing strict memory constraints
- D. Manually engineer features in the data before training the model
Explanation: Only visible for Lead2Passed members. You can sign-up / login (it's free).
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