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NVIDIA AI Infrastructure Sample Questions:

1. You are configuring a switch port connected to a host in an NCP-AII environment. The host is running RoCEv2. To optimize performance and prevent packet loss, which flow control mechanism should you enable on the switch port?

A) Priority Flow Control (PFC) or 802.1 Qbb, specifically for the traffic class associated with RoCEv2.
B) Simple Network Management Protocol (SNMP).
C) Spanning Tree Protocol (STP).
D) None; flow control is not needed with RoCEv2.
E) TCP flow control.

2. You are tasked with optimizing an Intel Xeon scalable processor-based server running a TensorFlow model with multiple NVIDIA GPUs.
You observe that the CPU utilization is low, but the GPU utilization is also not optimal. The profiler shows significant time spent in 'tf.data' operations. Which of the following actions would MOST likely improve performance?

A) Increase the number of threads used for CPU-bound operations in TensorFlow using 'tf.config.threading.set_intra_op_parallelism_threads()'.
B) Upgrade the server's network adapter to a faster interface, such as 100Gb
C) Reduce the global batch size to improve memory utilization.
D) Use 'tf.data.AUTOTIJNE to allow TensorFlow to dynamically optimize the data pipeline.
E) Enable XLA (Accelerated Linear Algebra) compilation in TensorFlow.

3. Which of the following are valid methods for verifying the health and connectivity of InfiniBand links in an NCP-AII environment? (Select TWO)

A) Using 'sminfo' to query the Subnet Manager for network topology and status information.
B) Using 'netstat' to check TCP connections.
C) Using 'ping' to test basic IP connectivity over the InfiniBand interface.
D) Using 'ibstat' to check the link state, physical state, and other relevant parameters of InfiniBand ports.
E) Checking the system logs ( ' /var/log/messages' or equivalent) for any InfiniBand-related error messages.

4. You are configuring an NVIDIAAIOO GPU in a server, and after installation and driver setup, lower than the GPU's specified TDP. What are the possible reasons for this? nvidia-smi reports a power limit much

A) The system BIOS is limiting the power to the PCIe slot.
B) The power supply is not providing enough power.
C) The driver is not correctly installed.
D) The GPIJ is in a low-power mode due to inactivity.
E) The GPU is faulty.

5. You are tasked with setting up a secure environment for running GPU-accelerated machine learning workloads in Docker containers.
The security requirements dictate that containers should have minimal privileges and access only the necessary resources. Which of the following security measures are most relevant when using NVIDIA GPUs with Docker?

A) Regularly scan Docker images for vulnerabilities using tools like Clair or Trivy and rebuild images with patched dependencies.
B) Implement network segmentation and firewalls to isolate the Docker containers from other services and the internet.
C) Run the Docker daemon in rootless mode to reduce the risk of privilege escalation.
D) Use AppArmor or SELinux profiles to restrict the capabilities of the Docker containers, limiting their access to system resources.
E) Grant the Docker containers direct access to the host's hardware devices, including the GPU, to maximize performance.

Solutions: