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

An organization wants to use OCI Generative AI for real-time document translation. They need high availability across regions. Which deployment option meets this requirement?

⚠ Common exam trap

Many candidates assume serverless endpoints inherently provide multi-region high availability, but in OCI Generative AI, serverless endpoints are region-scoped and do not include built-in cross-region failover or load balancing.

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

Multiple dedicated AI clusters in different regions with a load balancer

Deploying multiple dedicated AI clusters across different regions with a load balancer ensures high availability by distributing traffic and providing failover if one region becomes unavailable. OCI Generative AI dedicated AI clusters are provisioned per region, and a load balancer can route requests to healthy clusters, meeting the requirement for real-time document translation with cross-region redundancy.

Answer analysis

Option-by-option breakdown

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

  • Single dedicated AI cluster in one region

    Why it's wrong here

    Single region is not highly available if that region fails.

  • Multiple dedicated AI clusters in different regions with a load balancer

    Why this is correct

    Multi-region with load balancing ensures continuity even if one region is down.

  • Single serverless endpoint

    Why it's wrong here

    Serverless endpoint is regionally bound and not highly available.

  • Multiple serverless endpoints in different regions

    Why it's wrong here

    Although multi-region, serverless endpoints may have variable performance and no dedicated resources.

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

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