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Only need to practice for 20 to 30 hours
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Simulate the real exam
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NVIDIA AI Infrastructure Sample Questions:
1. After upgrading the NGC CLI using 'pip install -upgrade nvidia-cli' , some commands are no longer working as expected, producing errors related to missing modules. What is the most likely reason for this issue and how can you resolve it?
A) The NGC CLI upgrade introduced breaking changes. Review the NGC CLI release notes and update your scripts accordingly.
B) The Python environment used by the NGC CLI might be broken or inconsistent. Create a new virtual environment and reinstall the NGC CLI in the new environment.
C) The host's operating system must be re-imaged.
D) The upgrade process might have corrupted the NGC CLI installation. Reinstall the package using 'pip install -force-reinstall nvidia-cli'.
E) The system's PATH variable has not been updated to reflect the new NGC CLI installation location. Update the PATH variable accordingly.
2. You're working with a large dataset of microscopy images stored as individual TIFF files. The images are accessed randomly during a training job. The current storage solution is a single HDD. You're tasked with improving data loading performance. Which of the following storage optimizations would provide the GREATEST performance improvement in this specific scenario?
A) Compressing the TIFF files using a lossless compression algorithm.
B) Replacing the HDD with a RAID 5 array of HDDs.
C) Replacing the HDD with a single NVMe SS
D) Migrating the data to a large, sequential HDD.
E) Implementing data deduplication on the storage volume.
3. You have a large dataset stored on a network file system (NFS) and are training a deep learning model on an AMD EPYC server with NVIDIA GPUs. Data loading is very slow. What steps can you take to improve the data loading performance in this scenario? Select all that apply.
A) Mount the NFS share with the 'nolock' option.
B) Increase the number of NFS client threads on the AMD EPYC server.
C) Reduce the batch size to decrease the amount of data loaded per iteration.
D) Switch to a parallel file system like Lustre or BeeGFS.
E) Use a local SSD or NVMe drive to cache frequently accessed data.
4. A developer reports that their CUDA application running on a MIG instance is experiencing significantly reduced memory bandwidth compared to running on a full GPU. What are the potential causes for this performance bottleneck? (Select all that apply)
A) MIG instances inherently provide higher memory bandwidth due to their partitioned nature, so this report must be incorrect.
B) The application is exceeding the memory capacity of the MIG instance, leading to excessive swapping.
C) The CUDA driver version is not compatible with the MIG configuration, resulting in reduced performance.
D) The MIG instance has a smaller memory allocation compared to the full GPIJ, thus limiting the application's memory footprint.
E) The application is not optimized to take advantage of the MIG instance's specific memory bandwidth limitations.
5. You are running a large-scale distributed training job on a cluster of AMD EPYC servers, each equipped with multiple NVIDIAA100 GPUs. You are using Slurm for job scheduling. The training process often fails with NCCL errors related to network connectivity. What steps can you take to improve the reliability of the network communication for NCCL in this environment? Choose the MOST appropriate answers.
A) Ensure that the InfiniBand or RoCE network is properly configured and that all servers can communicate with each other over the network. Verify the network interface names and IP addresses in the NCCL configuration.
B) Disable the firewall on all servers to allow unrestricted network communication.
C) Increase the 'NCCL CONNECT TIMEOUT and *NCCL TIMEOUT environment variables to allow for longer network delays.
D) Use the Slurm 'srun' command with the '-mpi=pmi2 option to launch the training job. This ensures that Slurm properly initializes the MPl environment and sets the NCCL environment variables.
E) Decrease the batch size to reduce the amount of data transferred over the network.
Solutions:
Question # 1 Answer: A,B | Question # 2 Answer: C | Question # 3 Answer: B,D,E | Question # 4 Answer: B,C,D,E | Question # 5 Answer: A,C,D |