Oracle 1z0-1122-26 Exam Overview:
| Certification Vendor: | Oracle |
|---|---|
| Exam Name: | Oracle Cloud Infrastructure 2026 AI Foundations Associate |
| Exam Number: | 1Z0-1122-26 |
| Available Languages: | Japanese, English |
| Real Exam Qty: | 40 |
| Related Certifications: | Oracle Cloud Infrastructure Certified AI Foundations Associate |
| Exam Format: | Multiple-choice questions |
| Certificate Validity Period: | 2 years |
| Passing Score: | 65% |
| Exam Duration: | 60 minutes |
| Exam Price: | Free |
| Recommended Training: | Become an OCI AI Foundations Associate |
| Exam Registration: | Oracle MyLearn Oracle Certification Exam Information |
| Sample Questions: | Oracle 1z0-1122-26 Sample Questions |
| Exam Way: | Online, unproctored exam delivered by Oracle University. |
| Pre Condition: | No prerequisite certification or prior AI/ML experience is required. |
| Official Syllabus URL: | https://education.oracle.com/oracle-cloud-infrastructure-ai-foundations-associate/pexam_1Z0-1122-26 |
Oracle 1z0-1122-26 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| OCI Generative AI and Oracle 23ai | 10% | - Discuss Autonomous Database Select AI - Discuss Oracle Vector Search - Describe OCI Generative AI Services |
| Get started with OCI AI Portfolio | 15% | - Discuss OCI ML Services Overview - Discuss OCI AI Services Overview - Discuss OCI AI Infrastructure Overview - Explain Responsible AI |
| Intro to AI Foundations | 10% | - Explain AI vs ML vs DL - Discuss AI Applications and Types of Data - Discuss AI Basics |
| Intro to DL Foundations | 15% | - Explain Sequence Models (RNN and LSTM) - Discuss Deep Learning Fundamentals - Explain Convolutional Models (CNN) |
| Intro to Generative AI and LLMs | 15% | - Explain Prompt Engineering and Instruction Tuning - Discuss Large Language Models Fundamentals - Explain Transformers Fundamentals - Explain LLM Fine Tuning - Discuss Generative AI Overview |
| Intro to ML Foundations | 15% | - Discuss Supervised Learning Fundamentals
- Discuss Unsupervised Learning Fundamentals - Discuss Reinforcement Learning Fundamentals |
| Intro to OCI AI Services | 20% | - OCI Vision - OCI Document Understanding - OCI Speech - OCI Language |
Oracle Cloud Infrastructure 2026 AI Foundations Associate Sample Questions:
Question #1
Which feature is NOT available as part of OCI Speech capabilities?
A. Supports multiple languages including English, Spanish, and Portuguese
B. Uses extensive data science experience to operate
C. Transcribes audio and video files into text
D. Provides timestamped, grammatically accurate transcriptions
Question #2
How do Large Language Models (LLMs) handle the trade-off between model size, data quality, data size and performance?
A. They ensure that the model size, training time, and data size are balanced for optimal results.
B. They focus on increasing the number of tokens while keeping the model size constant.
C. They disregard model size and prioritize high-quality data only.
D. They prioritize larger model sizes to achieve better performance.
Question #3
You are part of the medical transcription team and need to automate transcription tasks. Which OCI AI service are you most likely to use?
A. Speech
B. Language
C. Document Understanding
D. Vision
Question #4
Which statement best describes the relationship between Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL)?
A. AI is a subset of DL, which is a subset of ML.
B. AI, ML, and DL are entirely separate fields with no overlap.
C. ML is a subset of AI, and DL is a subset of ML.
D. DL is a subset of AI, and ML is a subset of DL.
Question #5
What is the purpose of the model catalog in OCI Data Science?
A. To store, track, share, and manage models
B. To create and switch between different environments
C. To provide a preinstalled open source library
D. To deploy models as HTTP endpoints
Solutions:
| Question #1 Correct Answer: B | Question #2 Correct Answer: A | Question #3 Correct Answer: A | Question #4 Correct Answer: C | Question #5 Correct Answer: A |


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