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Oracle 1z0-1122-26 Exam Overview:
| Certification Vendor: | Oracle |
|---|---|
| Exam Name: | Oracle Cloud Infrastructure 2026 AI Foundations Associate |
| Exam Number: | 1Z0-1122-26 |
| Exam Format: | Multiple Choice |
| Exam Price: | Free (with completed learning path); $245 USD without learning path |
| Real Exam Qty: | 40 |
| Related Certifications: | Oracle AI Database Foundations Associate (1Z0-1195-26) Oracle Cloud Infrastructure 2026 Foundations Associate (1Z0-1085-26) |
| Passing Score: | 65% |
| Available Languages: | English |
| Exam Duration: | 60 minutes |
| Certificate Validity Period: | 24 months from date earned |
| Recommended Training: | Oracle Cloud Infrastructure AI Foundations (Free Course) Become an OCI 2026 AI Foundations Associate (Official Learning Path) |
| Exam Registration: | Oracle MyLearn Portal Oracle University Certification Registration |
| Sample Questions: | Oracle 1z0-1122-26 Sample Questions |
| Exam Way: | Online proctored / Onsite at authorized testing centers |
| Pre Condition: | No prerequisites; no prior AI, ML, or cloud experience required |
| Official Syllabus URL: | https://education.oracle.com/oracle-cloud-infrastructure-2026-ai-foundations-associate/pexam_1Z0-1122-26 |
Oracle 1z0-1122-26 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Deep Learning Foundations | 15% | - Deep Learning and neural networks
|
| Introduction to OCI AI Services | 20% | - OCI AI Service APIs
|
| OCI Generative AI and Oracle 23ai | 10% | - OCI Generative AI Service features
|
| AI Foundations | 10% | - Artificial Intelligence basics and terminology
|
| Machine Learning Foundations | 15% | - Machine Learning fundamentals
|
| OCI AI Portfolio | 15% | - Overview of OCI AI offerings
|
| Generative AI and Large Language Models | 15% | - Generative AI concepts
|
Oracle Cloud Infrastructure 2026 AI Foundations Associate Sample Questions:
Question 1
What is the primary benefit of using the OCI Language service for text analysis?
A. It provides image processing capabilities.
B. It only works with structured data.
C. It requires extensive machine learning expertise to use.
D. It allows for text analysis at scale without machine learning expertise.
Question 2
What is " in-context learning " in the realm of Large Language Models (LLMs)?
A. Training a model on a diverse range of tasks
B. Providing a few examples of a target task via the input prompt
C. Teaching a model through zero-shot learning
D. Modifying the behavior of a pretrained LLM permanently
Question 3
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 and regression both assign data points to categories.
D. Classification assigns data points to categories, whereas regression predicts continuous values.
Question 4
Which statement best describes the relationship between Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL)?
A. AI, ML, and DL are entirely separate fields with no overlap.
B. DL is a subset of AI, and ML is a subset of DL.
C. ML is a subset of AI, and DL is a subset of ML.
D. AI is a subset of DL, which is a subset of ML.
Question 5
A customer feedback analysis team needs to extract insights from thousands of online product reviews. They want to determine whether customers express positive or negative opinions about different aspects of a product or service. Which feature of OCI Language is helpful?
A. Language detection
B. Key phrase extraction
C. Named entity recognition
D. Sentiment analysis
Solutions:
| Question 1 Answer: D | Question 2 Answer: B | Question 3 Answer: D | Question 4 Answer: C | Question 5 Answer: D |
By Morton
