- A
Bring Your Own Container (BYOC)
Why wrong: BYOC is not supported; models must be fine-tuned within OCI Gen AI.
- B
Serverless Endpoint
Why wrong: OCI Gen AI does not offer a serverless endpoint option.
- C
On-Demand Endpoint
On-demand endpoints are for base models but fine-tuned models can also be deployed via dedicated endpoints that use on-demand scaling.
- D
Edge Deployment
Why wrong: Edge deployment is not available for OCI Gen AI.
- E
Managed Dedicated Endpoint
A dedicated endpoint provides reserved compute for fine-tuned models.
Question 800 of 991
1Z0-1127 Using OCI Generative AI Service Practice Question
This 1Z0-1127 practice question tests your understanding of using oci generative ai service. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
Which TWO deployment options are available for using fine-tuned models with OCI Generative AI service?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
On-Demand Endpoint
The OCI Generative AI service provides two deployment options for fine-tuned models: On-Demand Endpoint and Managed Dedicated Endpoint. The On-Demand Endpoint (Option C) is a serverless, pay-per-token option that automatically scales, suitable for variable workloads. The Managed Dedicated Endpoint (Option E) provides a dedicated, single-tenant endpoint with guaranteed throughput and lower latency for production workloads.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Bring Your Own Container (BYOC)
Why it's wrong here
BYOC is not supported; models must be fine-tuned within OCI Gen AI.
- ✗
Serverless Endpoint
Why it's wrong here
OCI Gen AI does not offer a serverless endpoint option.
- ✓
On-Demand Endpoint
Why this is correct
On-demand endpoints are for base models but fine-tuned models can also be deployed via dedicated endpoints that use on-demand scaling.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Edge Deployment
Why it's wrong here
Edge deployment is not available for OCI Gen AI.
- ✓
Managed Dedicated Endpoint
Why this is correct
A dedicated endpoint provides reserved compute for fine-tuned models.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Oracle OCI GenAI exams often test the distinction between 'serverless' as a general concept versus the specific named deployment options in OCI Generative AI, leading candidates to incorrectly select 'Serverless Endpoint' as a separate option when it is actually the underlying model for the On-Demand Endpoint.
Detailed technical explanation
How to think about this question
Under the hood, the On-Demand Endpoint uses a shared multi-tenant infrastructure with automatic scaling based on request volume, while the Managed Dedicated Endpoint provisions a dedicated GPU cluster for the customer, ensuring consistent performance and no resource contention. In a real-world scenario, a customer with a high-throughput chatbot requiring sub-100ms latency would choose the Managed Dedicated Endpoint, whereas a sporadic batch inference workload would be more cost-effective on the On-Demand Endpoint.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A practitioner preparing for the 1Z0-1127 exam encounters this exact type of scenario on the job. The correct answer here is not the most general option — it is the best answer for the specific constraint described. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Real exam questions reward reading the full scenario before eliminating options, because the constraint defines which answer fits.
Quick reference
Cloud Service Model Comparison
| Model | You Manage | Provider Manages | Examples |
|---|---|---|---|
| IaaS | OS, runtime, apps, data | Hardware, hypervisor, networking | EC2, Azure VMs, GCP Compute Engine |
| PaaS | Apps and data | OS, runtime, middleware, hardware | Elastic Beanstalk, Azure App Service |
| SaaS | Data and settings only | Everything else | Microsoft 365, Salesforce, Workday |
| FaaS / Serverless | Function code only | Infra, scaling, runtime | Lambda, Azure Functions, Cloud Run |
| CaaS | Containers and apps | Kubernetes, OS, hardware | EKS, AKS, GKE |
What to study next
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FAQ
Questions learners often ask
What does this 1Z0-1127 question test?
Using OCI Generative AI Service — This question tests Using OCI Generative AI Service — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: On-Demand Endpoint — The OCI Generative AI service provides two deployment options for fine-tuned models: On-Demand Endpoint and Managed Dedicated Endpoint. The On-Demand Endpoint (Option C) is a serverless, pay-per-token option that automatically scales, suitable for variable workloads. The Managed Dedicated Endpoint (Option E) provides a dedicated, single-tenant endpoint with guaranteed throughput and lower latency for production workloads.
What should I do if I get this 1Z0-1127 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
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Last reviewed: Jul 4, 2026
This 1Z0-1127 practice question is part of Courseiva's free Oracle certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the 1Z0-1127 exam.
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