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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: AI Foundations | 10% | - Artificial Intelligence basics and terminology
|
| Topic 3: Machine Learning Foundations | 15% | - Machine Learning fundamentals
|
| 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: Deep Learning Foundations | 15% | - Deep Learning and neural networks
|
| Topic 7: OCI Generative AI and Oracle 23ai | 10% | - OCI Generative AI Service features
|
Oracle Cloud Infrastructure 2026 AI Foundations Associate Sample Questions:
Question 1
What is the purpose of Attention Mechanism in Transformer architecture?
A. Convert tokens into numerical forms (vectors) that the model can understand.
B. Apply a specific function to each word individually.
C. Weigh the importance of different words within a sequence and understand the context.
D. Break down a sentence into smaller pieces called tokens.
Question 2
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 number of iterations.
D. Decrease the weight of the feature representing the presence of certain keywords.
Question 3
Which AI Ethics principle leads to the Responsible AI requirement of transparency?
A. Respect for human autonomy
B. Prevention of harm
C. Explicability
D. Fairness
Question 4
Which feature of OCI Speech helps make transcriptions easier to read and understand?
A. Timestamping
B. Profanity filtering
C. Text normalization
D. Audio tuning
Question 5
Which AI domain is associated with tasks such as identifying the sentiment of text and translating text between languages?
A. Natural Language Processing
B. Anomaly Detection
C. Computer Vision
D. Natural Language Processing
Solutions:
| Question 1 Answer: C | Question 2 Answer: A | Question 3 Answer: C | Question 4 Answer: C | Question 5 Answer: A |
