Quick Answer
The correct choice is the `/completions` endpoint because the OCI Generative AI service specifically exposes this REST API endpoint for text generation tasks, accepting a prompt and returning a generated completion. This endpoint is designed to handle the core generative workflow—sending a textual input and receiving a coherent, model-generated output—making it the direct match for integrating generative AI capabilities via REST API calls. On the Oracle Cloud Infrastructure Generative AI Professional 1Z0-1127 exam, this question tests your understanding of the service’s API surface, often appearing alongside distractors like `/chat` or `/embeddings`, which serve different purposes (conversational or vector representation). A common trap is confusing `/completions` with `/chat`, but remember: completions are for single-turn text generation, while chat is for multi-turn dialogue. For a quick memory tip, think “C for Completion, C for Create text”—the endpoint name directly tells you its job.
This 1Z0-1127 practice question tests your understanding of deploying and managing generative ai on oci. 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.
A developer wants to integrate generative AI capabilities into an application using REST API calls. Which OCI Generative AI service endpoint should they use for text generation?
/completions
/completions is the endpoint for generating text completions.
/models
Why wrong: /models is for listing or managing models, not for inference.
/inference
Why wrong: There is no /inference endpoint in the OCI Generative AI API.
/chat
Why wrong: /chat is for conversational models, but the question asks for text generation in general.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
/completions
Option A is correct because the OCI Generative AI service exposes a REST API endpoint at `/completions` specifically for text generation tasks. This endpoint accepts a prompt and returns a generated text completion, aligning directly with the developer's requirement to integrate generative AI capabilities via REST API calls.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
/completions
Why this is correct
/completions is the endpoint for generating text completions.
Related concept
Read the scenario before looking for a memorised answer.
/models
Why it's wrong here
/models is for listing or managing models, not for inference.
/inference
Why it's wrong here
There is no /inference endpoint in the OCI Generative AI API.
/chat
Why it's wrong here
/chat is for conversational models, but the question asks for text generation in general.
Common exam traps
The trap here is that candidates confuse the `/chat` endpoint (designed for conversational AI) with the `/completions` endpoint (designed for single-turn text generation), or assume `/inference` is a generic catch-all endpoint for all AI tasks.
Detailed technical explanation
The `/completions` endpoint accepts a JSON payload with parameters such as `prompt`, `max_tokens`, `temperature`, and `top_p`, and returns a generated text response. Under the hood, the OCI Generative AI service uses transformer-based models like Cohere Command or Llama, and the endpoint maps to the model's text generation inference pipeline. A subtle behavior is that the endpoint supports both synchronous and streaming responses via the `is_stream` parameter, which is critical for real-time applications.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
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.
What to study next
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FAQ
Deploying and Managing Generative AI on OCI — This question tests Deploying and Managing Generative AI on OCI — Read the scenario before looking for a memorised answer..
The correct answer is: /completions — Option A is correct because the OCI Generative AI service exposes a REST API endpoint at `/completions` specifically for text generation tasks. This endpoint accepts a prompt and returns a generated text completion, aligning directly with the developer's requirement to integrate generative AI capabilities via REST API calls.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 24, 2026
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