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LangChain and AI Application DevelopmentmediumMultiple SelectObjective-mapped

1Z0-1127-25 LangChain and AI Application Development Practice Question

A company is deploying a LangChain application on OCI and needs to implement error handling and rate limit management. Which THREE strategies should they consider? (Choose THREE.)

⚠ Common exam trap

The 1Z0-1127 exam often tests the distinction between strategies that directly address API rate limiting (retry logic, caching, monitoring) versus unrelated configuration parameters like chunk_size, which candidates may mistakenly associate with performance tuning.

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

Implement retry logic with exponential backoff when receiving 429 (Too Many Requests) responses

A is correct because HTTP 429 (Too Many Requests) responses indicate rate limiting by the API provider. Implementing retry logic with exponential backoff is a standard resilience pattern that progressively increases wait times between retries, preventing further rate limit violations and allowing the system to recover gracefully without overwhelming the endpoint.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Implement retry logic with exponential backoff when receiving 429 (Too Many Requests) responses

    Why this is correct

    Exponential backoff is a standard approach to handle rate limits by retrying after increasing delays.

  • Increase the chunk_size parameter in the text splitter

    Why it's wrong here

    Chunk size affects document splitting, not API rate limiting.

  • Use a caching layer to avoid repeating identical API calls

    Why this is correct

    Caching reduces the number of calls to the API, lowering the risk of rate limiting.

  • Monitor token usage and set up alerts to stay within service limits

    Why this is correct

    Proactive monitoring prevents hitting rate limits unexpectedly.

  • Resubscribe to the model endpoint if errors occur

    Why it's wrong here

    Resubscribing does not fix rate limit errors; they are independent of subscription.

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

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