Guide-linked quiz · Medium Level

CUDA, Driver and Framework Version Compatibility Quiz

Separate host driver, toolkit and framework build versions, and choose a compatibility check that matches the deployment platform.

Question 1 of 8

Which component manages the physical GPU from the host operating system?

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Answers and explanations appear as you take the quiz.

  1. Which component manages the physical GPU from the host operating system?
    • The NVIDIA driver
    • The framework wheel
    • The model checkpoint
    • The Python virtual environment
  2. What does a framework's CUDA build tag describe most directly?
    • The exact host driver installed on every machine
    • The CUDA support that framework package was built to use
    • The version of the physical GPU firmware
    • The model's training data format
  3. Why may nvcc --version differ from a driver utility's CUDA capability display?
    • Both report the framework version
    • One must be corrupted whenever values differ
    • They report different layers: toolkit compiler versus driver-supported capability
    • They both identify the GPU model only
  4. What does CUDA backward compatibility generally allow under documented conditions?
    • An older driver can run applications built with a newer toolkit without a compatibility path
    • Driver and toolkit versions must always have identical minor numbers
    • A sufficiently new driver can run applications built with older CUDA toolkits
    • Any toolkit build works with every older driver
  5. A framework imports, but a GPU operation fails. Which conclusion is warranted?
    • The host driver must be correct
    • Package import succeeded, but runtime compatibility still needs diagnosis
    • The model checkpoint is incompatible by definition
    • All CUDA libraries are initialized
  6. Where should an engineer verify a supported framework and CUDA combination?
    • A container filename alone
    • An arbitrary version string copied from another project
    • The framework's official release installation guidance and NVIDIA compatibility documentation
    • The newest toolkit regardless of framework build
  7. Why change one compatibility layer at a time during troubleshooting?
    • It makes toolkit and driver versions identical
    • It guarantees a newer driver works with every package
    • It avoids recording versions
    • It helps identify which change resolves or causes the failure
  8. What should a reproducible GPU bug report record?
    • OS, GPU, host driver, image and framework build
    • Only the framework's major version
    • Only the displayed CUDA capability
    • The user's password and model weights

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