Courseiva
Deploying and Managing Generative AI on OCImediumMultiple ChoiceObjective-mapped

1Z0-1127-25 Deploying and Managing Generative AI on OCI Practice Question

An organization is deploying a large language model on OCI using a dedicated AI cluster. They need to minimize inference latency. Which configuration step is most critical?

⚠ Common exam trap

Oracle often tests the misconception that load balancing or simplifying the model architecture (e.g., disabling parallelism) reduces latency, when in fact the critical bottleneck for distributed inference is inter-node communication, which RDMA directly addresses.

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

Configure the cluster to use high-bandwidth RDMA networking

RDMA (Remote Direct Memory Access) bypasses the CPU and kernel to transfer data directly between GPU memories, drastically reducing latency and CPU overhead. In a dedicated AI cluster on OCI, high-bandwidth RDMA networking (e.g., using RoCE v2 or InfiniBand) is the most critical step to minimize inference latency because model parallelism and tensor parallelism across nodes depend on fast, low-latency interconnects. Without RDMA, even with optimized model parallelism, the network becomes the bottleneck, increasing per-token latency.

Answer analysis

Option-by-option breakdown

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

  • Set up a load balancer across multiple regions

    Why it's wrong here

    Incorrect: Cross-region load balancing adds latency rather than reducing it.

  • Configure the cluster to use high-bandwidth RDMA networking

    Why this is correct

    Correct: RDMA enables ultra-low-latency communication between nodes, essential for performance.

  • Use a single VM shape to reduce network hops

    Why it's wrong here

    Incorrect: A single VM may not provide enough compute and still incurs network latency if distributed.

  • Disable model parallelism to simplify setup

    Why it's wrong here

    Incorrect: Model parallelism is often needed for large models; disabling it can increase memory per node and latency.

About these practice questions

Courseiva writes every 1Z0-1127-25 question from scratch — 768 in total, each with an explanation and a wrong-answer breakdown. None are copied from real exams or dumps. Learn why practice questions differ from exam dumps →

How Courseiva writes practice questions · Editorial policy

JA

Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

This 1Z0-1127-25 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 1Z0-1127-25 exam.