- A
The model specified is not supported for embeddings; use a different model.
Why wrong: If the model is not supported, the error would indicate model not found.
- B
The input text exceeds the maximum token limit for the model; truncate the input.
Embedding models have a fixed maximum input length.
- C
The API request rate exceeds the tenancy limit; reduce the request rate.
Why wrong: A rate limit error would be 429, not InvalidRequest.
- D
The API key is invalid or expired; regenerate the key.
Why wrong: Invalid key would cause a 401 error.
Question 339 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.
A data scientist receives an error when calling the embed_text API: "InvalidRequest: input too long". What is the most likely cause and solution?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"most likely"Why it matters: Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
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
✓
The input text exceeds the maximum token limit for the model; truncate the input.
The error 'InvalidRequest: input too long' indicates that the input text exceeds the maximum token limit for the embedding model. OCI Generative AI embedding models, like all transformer-based models, have a fixed context window (e.g., 512 or 1024 tokens). The solution is to truncate the input to fit within that limit, as the API will reject overly long inputs.
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.
- ✗
The model specified is not supported for embeddings; use a different model.
Why it's wrong here
If the model is not supported, the error would indicate model not found.
- ✓
The input text exceeds the maximum token limit for the model; truncate the input.
Why this is correct
Embedding models have a fixed maximum input length.
Clue confirmation
The clue word "most likely" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
The API request rate exceeds the tenancy limit; reduce the request rate.
Why it's wrong here
A rate limit error would be 429, not InvalidRequest.
- ✗
The API key is invalid or expired; regenerate the key.
Why it's wrong here
Invalid key would cause a 401 error.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Oracle OCI GenAI exams often test the distinction between different error types (input length vs. rate limits vs. authentication) to see if candidates can map specific error messages to their root causes.
Detailed technical explanation
How to think about this question
Embedding models in OCI Generative AI are based on transformer architectures with a fixed maximum sequence length (e.g., 512 tokens for the `cohere.embed-english-v3.0` model). When input exceeds this limit, the API throws an `InvalidRequest` error because the model cannot process sequences beyond its context window. Truncation must be done carefully to avoid losing critical semantic information, often by trimming from the end or using a sliding window approach for long documents.
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.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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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: The input text exceeds the maximum token limit for the model; truncate the input. — The error 'InvalidRequest: input too long' indicates that the input text exceeds the maximum token limit for the embedding model. OCI Generative AI embedding models, like all transformer-based models, have a fixed context window (e.g., 512 or 1024 tokens). The solution is to truncate the input to fit within that limit, as the API will reject overly long inputs.
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.
Are there clue words in this question I should notice?
Yes — watch for: "most likely". Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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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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