- A
Temperature
Why wrong: Controls randomness, not history.
- B
Stop sequences
Why wrong: Stop sequences define when generation ends, not history.
- C
System prompt
Defines the assistant's persona and behavior.
- D
Multi-turn conversation history
The API accepts previous messages to maintain context.
- E
Preamble override
Allows customizing the initial system message for context.
Question 460 of 991
How to Maintain Coherent Conversation History in Multi-Turn Chat with OCI Generative AI
This 1Z0-1127 practice question tests your understanding of oci generative ai service. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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 is building a multi-turn chatbot using the OCI Generative AI Chat API. Which THREE parameters or features should they configure to maintain coherent conversation history?
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
✓
System prompt
System prompt sets the assistant's behavior. Preamble override can customize the initial context. Multi-turn conversation history is managed by sending previous messages in the API call. Temperature and stop sequences affect generation but not history management.
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.
- ✗
Temperature
Why it's wrong here
Controls randomness, not history.
- ✗
Stop sequences
Why it's wrong here
Stop sequences define when generation ends, not history.
- ✓
System prompt
Why this is correct
Defines the assistant's persona and behavior.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Multi-turn conversation history
Why this is correct
The API accepts previous messages to maintain context.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Preamble override
Why this is correct
Allows customizing the initial system message for context.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
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.
- Use explanations to understand the rule behind the answer.
TExam Day Tips
- Underline the problem statement mentally.
- 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.
What to study next
Got this wrong? Here's your next step.
Identify which 1Z0-1127 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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FAQ
Questions learners often ask
What does this 1Z0-1127 question test?
OCI Generative AI Service — This question tests 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: System prompt — System prompt sets the assistant's behavior. Preamble override can customize the initial context. Multi-turn conversation history is managed by sending previous messages in the API call. Temperature and stop sequences affect generation but not history management.
What should I do if I get this 1Z0-1127 question wrong?
Identify which 1Z0-1127 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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 →
Same concept, more angles
2 more ways this is tested on 1Z0-1127
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. A developer uses the OCI Generative AI Chat API to build a multi-turn conversational agent. They notice the model starts to lose context after several exchanges. What is the MOST likely cause?
medium- A.The temperature parameter is set too high, causing the model to forget
- B.The model's context window is too small for the conversation length
- ✓ C.The developer is not sending the conversation history with each request
- D.The fine-tuning dataset did not include multi-turn examples
Why C: The Chat API does not automatically manage conversation history; the developer must provide previous messages. The model itself retains state only within the provided context.
Variation 2. A developer is using the OCI Generative AI Chat API to build a multi-turn conversational agent. They want the model to remember previous exchanges within the same session. How should they manage conversation history?
medium- A.Store history client-side and concatenate all previous outputs into the user prompt each time
- B.Use the Generate API with a system prompt that includes the entire history
- ✓ C.Use the Chat API's message list parameter, appending each user and assistant message
- D.Rely on the model's built-in memory mechanism
Why C: The Chat API accepts a list of messages (including user and assistant turns) to maintain context. The developer should append each exchange to the message list and send it with each request.
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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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