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NVIDIA AI Infrastructure Sample Questions (Q71-Q76):

NEW QUESTION # 71
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. Replacing the HDD with a single NVMe SS
B. Migrating the data to a large, sequential HDD.
C. Implementing data deduplication on the storage volume.
D. Compressing the TIFF files using a lossless compression algorithm.
E. Replacing the HDD with a RAID 5 array of HDDs.

Answer: A

Explanation:
Random access to numerous small files is a classic use case where SSDs excel due to their low latency. Replacing the HDD with an NVMe SSD (option D) will provide the most significant performance improvement. Data deduplication (A) saves storage space but doesn't directly improve random access speed. Migrating to a sequential HDD (B) is counterproductive for random access. RAID 5 (C) provides some performance improvement but not as much as an SSD. Compression (E) can reduce storage space but adds overhead during decompression.

NEW QUESTION # 72
You are managing an AI infrastructure with multiple NVIDIAA100 GPUs configured with MIG. You want to monitor the utilization of each MIG instance individually. Which tool(s) provide granular MIG instance-level monitoring data? (Select all that apply)

A. DCGM (Data Center GPU Manager)
B. nvidia-docker
C. gpustat
D. htop
E. nvidia-smi

Answer: A,E

Explanation:
'nvidia-smr and DCGM (Data Center GPU Manager) are the primary tools for monitoring NVIDIA GPUs, including MIG instances, at a granular level. 'nvidia-smr can display utilization, memory usage, and other metrics for individual MIG instances. DCGM provides a more comprehensive monitoring solution with a wider range of metrics and alerting capabilities. While gpustat provides GPU statistics, it might not provide as detailed MIG-Ievel information as 'nvidia-smr or DCGM directly. 'htop' is a system-level process monitor and won't provide GPU-specific metrics. 'nvidia-dockeo is related to containerization with NVIDIA GPUs, not monitoring.

NEW QUESTION # 73
You are developing a CI/CD pipeline for deploying A1 models to a Kubernetes cluster with NVIDIA GPUs. Your pipeline includes steps to build, test, and deploy the model as a containerized application. What is the recommended approach for ensuring that the application container image includes the correct NVIDIA drivers and libraries?

A. Manually installing the NVIDIA drivers and libraries inside the container image during the build process.
B. Configuring the cluster to download and configure the needed drivers just before deploying your application.
C. Downloading the latest drivers from NVIDIA's website and adding them to the container image.
D. Using a base image provided by NVIDIA that includes the necessary drivers and libraries.
E. Relying on the NVIDIA Container Toolkit to automatically install the drivers and libraries at runtime.

Answer: D

Explanation:
Using a base image provided by NVIDIA (such as those from NGC) is the recommended approach because it ensures that the container image includes the correct and compatible drivers and libraries, simplifying the build process and reducing potential compatibility issues. The NVIDIA Container Toolkit requires host drivers and handles the injection of the library into the container and not the building of the image.

NEW QUESTION # 74
An AI server utilizes a QSFP28 transceiver with MPO connector. During troubleshooting, you suspect a faulty transceiver. Which steps are most important to perform when physically inspecting and testing the transceiver?

A. Visually inspect the connector for damage, clean the connector end-face with an appropriate fiber optic cleaning tool, and perform an Optical Time Domain Reflectometer (OTDR) test.
B. Visually inspect the connector for damage, clean the connector end-face with an appropriate fiber optic cleaning tool, and verify the transceiver's DOM (Digital Optical Monitoring) information, particularly TX power, RX power, and temperature.
C. Verify the transceiver's DOM (Digital Optical Monitoring) information, clean the connector end-face with a dry cloth, and perform a ping test.
D. Examine the transceiver's EEPROM data, measure the supply voltage with a multimeter, and perform a link speed auto-negotiation test.
E. Check the transceiver's firmware version, measure the transceiver's temperature using an infrared thermometer, and perform a bit error rate test (BERT).

Answer: B

Explanation:
The MOST important steps involve visual inspection for damage, cleaning the connector to ensure a good optical connection, and verifying DOM information to assess the transceivers health and signal levels. OTDR is more suited for cable diagnosis. While firmware and voltage are relevant, the DOM provides immediate health indicators.

NEW QUESTION # 75
You are tasked with automating the BlueField OS deployment process across a large number of SmartNICs. Which of the following methods is MOST suitable for this task?

A. Creating a custom ISO image with the BlueField OS and booting each SmartNIC from a USB drive.
B. Manually flashing each SmartNIC using the 'bfboot utility on a workstation.
C. Utilizing a custom-built python script to flash each individual card, controlled from a central server. This method supports parallel flashing.
D. Utilizing the 'dd' command to directly copy the image to each SmartNIC's flash memory.
E. Using a network boot (PXE) server to deploy the BlueField OS image over the network. This allows centralized management and scalability.

Answer: E

Explanation:
PXE boot allows for automated and scalable OS deployment over the network, making it the most suitable option for managing a large number of SmartNlCs. Manually flashing or using USB drives is not practical at scale, and using 'dd' directly can be risky and error-prone without proper checks.

NEW QUESTION # 76
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