1Z0-1072-25 exam dumps

1Z0-1072-25 practice question 7 of 318

Oracle Cloud Infrastructure 2025 Architect Associate. Associate level, Oracle. Free question with the correct answer and a full explanation.

1Z0-1072-25 Question 7

Single answer

A biotechnology company needs to run large-scale simulations to analyze protein folding. These simulations require extremely high CPU performance with low-latency cluster networking for parallel computations, and the team wants local ephemeral storage for preliminary scratch data. The workload is heavily CPU-bound and does not require any GPU processing. Which Oracle Cloud Infrastructure compute shape would best address these requirements?

  1. A

    VM.Standard.E4.Flex

  2. B

    BM.HPC2.36

  3. C

    VM.GPU3.Flex

  4. D

    BM.Standard.E3.128

Show answer and explanation

Correct answer: B

Explanation

For HPC workloads that require both intensive CPU performance and low-latency cluster networking, an HPC shape such as BM.HPC2.36 is the best fit. These shapes typically have RDMA-based interconnects and ephemeral local storage to handle large temporary read/write operations. Standard or GPU shapes may have strong compute or graphics capabilities but lack these specialized HPC features and networking. Refer to OCI documentation on HPC shapes for best practices in high-performance cluster computing.

  • A. Incorrect.

    Option 1 (VM.Standard.E4.Flex): While this flexible shape allows you to configure CPU and memory, it does not offer the specialized low-latency cluster networking typically required for HPC workloads. It also lacks built-in local ephemeral storage critical for high-throughput scratch data.

  • B. Correct.

    Option 2 (BM.HPC2.36): This Bare Metal HPC shape includes specialized cluster networking with low latency and provides local NVMe-based ephemeral storage. It is designed for CPU-intensive HPC workloads, making it ideal for large-scale simulations that require parallel processing.

  • C. Incorrect.

    Option 3 (VM.GPU3.Flex): Although powerful for machine learning or graphics workloads, a GPU-focused shape is not necessary for a purely CPU-based HPC simulation. It also may not provide the specialized HPC networking stack and local ephemeral storage needed.

  • D. Incorrect.

    Option 4 (BM.Standard.E3.128): While this is a robust Bare Metal shape with significant CPU and memory resources, it does not include low-latency cluster networking tailored to HPC environments or ephemeral local NVMe storage specifically optimized for HPC.

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