1Z0-1127-25 Using OCI Generative AI Service Practice Question
A financial services company has deployed a custom fine-tuned model using OCI Generative AI service on a dedicated AI cluster for automated report generation. They use a Python application that sends prompts via the OCI SDK. Recently, they started seeing 429 Too Many Requests errors intermittently. The dedicated cluster has 2 replicas and the application is making about 100 requests per second. The cluster's documented throughput is 50 requests per second per replica. The company has not set up any throttling limits. What is the most likely cause of the 429 errors?
⚠ Common exam trap
Many candidates assume the total cluster capacity (100 req/s) is the limiting factor, but the 429 errors occur because each replica enforces its own 50 req/s limit, and uneven request distribution or bursts can cause individual replicas to be overwhelmed.
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 application is exceeding the cluster's replica capacity.
The dedicated AI cluster has 2 replicas, each supporting 50 requests per second, for a total capacity of 100 requests per second. The application is sending exactly 100 requests per second, which matches the cluster's maximum throughput. However, without any throttling limits configured, the service will still enforce its built-in rate limits at the replica level, and any transient burst or uneven distribution across replicas can trigger 429 Too Many Requests errors. The most likely cause is that the application is operating at the cluster's replica capacity boundary, leading to intermittent throttling.
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 application is exceeding the cluster's replica capacity.
Why this is correct
The cluster is at maximum throughput; bursts push over the limit.
- ✗
The OCI SDK version is outdated.
Why it's wrong here
Outdated SDK may cause errors but typically not 429.
- ✗
The API calls are not authenticated.
Why it's wrong here
Authentication errors return 401, not 429.
- ✗
The model's context window is too small for the prompts.
Why it's wrong here
Context window issues cause 400 or incomplete responses.
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Same concept, more angles
1 more way this is tested on 1Z0-1127-25
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 company wants to deploy a custom fine-tuned model for retrieval-augmented generation (RAG) using dedicated AI cluster. They need to ensure the model can handle concurrent requests from multiple applications with consistent latency. What should they configure?
hard- A.Set a high temperature to keep responses concise.
- ✓ B.Increase the number of replicas in the dedicated cluster.
- C.Enable auto-scaling on the cluster.
- D.Use the managed serving endpoint instead.
Why B: Increasing the number of replicas in the dedicated cluster distributes the load across multiple model copies, improving concurrency and latency stability. This allows the model to handle concurrent requests from multiple applications with consistent latency.
JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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