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NCP-AIO NVIDIA Certified Professional AI Operations

  • NVIDIA
  • 8 free sample questions

About this exam

NCP-AIO is the NVIDIA exam NVIDIA Certified Professional AI Operations. Paid practice material for this exam is not available yet, but you can try its free sample questions.

Exam code
NCP-AIO
Vendor
NVIDIA
Practice questions
Not available yet
Free sample questions
8
Question bank last updated
Not available yet

Try 2 sample questions

Taken from the free sample set for NCP-AIO.

Question 1

A Slurm user needs to submit a batch job script for execution tomorrow. Which command should be used to complete this task?
  1. Option A:
    sbatch -begin=tomorrow
  2. Option B:
    submit -begin=tomorrow
  3. Option C:
    salloc -begin=tomorrow
  4. Option D:
    srun -begin=tomorrow
Show answer and explanation

Correct answer: A

Comprehensive and Detailed Explanation From Exact Extract: In Slurm cluster administration, the command to submit a batch job script is sbatch. This command schedules the job to be executed by the Slurm workload manager. The option -begin=tomorrow (or -- begin=tomorrow) specifies the start time for the job execution, which in this case is set for tomorrow. The other commands have different purposes: submit is not a valid Slurm command. salloc is used to allocate resources interactively but does not submit batch jobs for scheduled execution. srun runs jobs immediately on allocated resources but is typically used to launch tasks in an active job or interactively, not for batch job submission. Therefore, the correct command to submit a batch job script for future execution is sbatch - begin=tomorrow.

Question 2

A system administrator needs to optimize the delivery of their AI applications to the edge. What NVIDIA platform should be used? 

  1. Option A:
    Base Command Platform
  2. Option B:
    Base Command Manager
  3. Option C:
    Fleet Command
  4. Option D:
    NetQ
Show answer and explanation

Correct answer: C

NVIDIA Fleet Command is the platform designed specifically to optimize and manage the deployment and delivery of AI applications at the edge. It enables secure and scalable orchestration of AI workloads across distributed edge devices, providing lifecycle management, remote monitoring, and updates. Fleet Command facilitates running AI applications closer to where data is generated (edge), improving latency and operational efficiency. Base Command Platform and Base Command Manager primarily target data center and AI cluster management for configuration, monitoring, and troubleshooting. NetQ is focused on network telemetry and network state monitoring rather than application delivery. Therefore, for AI application delivery and optimization at the edge, Fleet Command is the recommended NVIDIA platform.
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