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1Z0-1127-25 Using OCI Generative AI Service Practice Question

A data scientist receives an error when calling the embed_text API: "InvalidRequest: input too long". What is the most likely cause and solution?

⚠ Common exam trap

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.

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.

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.

  • 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.

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