Question 1

In AI/ML training clusters, how does Remote Direct Memory Access (RDMA) over InfiniBand accelerate the performance of distributed deep learning?

Options :

A : RDMA over InfiniBand enables deep learning models to share memory across GPUs, allowing for larger models to be trained without memory bottlenecks.

B : RDMA over InfiniBand simplifies the orchestration of distributed training jobs by automating workload balancing across GPUs and nodes.

C : RDMA over InfiniBand automatically compresses the data being transferred, which reduces the bandwidth required for communication between GPUs.

D : RDMA over InfiniBand allows direct data transfer between GPUs without passing through the host CPU, significantly reducing the overhead during parameter updates.

Answer: D

Question 2

You are configuring an InfiniBand-based high-performance computing (HPC) cluster for a scientific simulation workload that requires low latency and high throughput communication between nodes. The application is designed to leverage RDMA (Remote Direct Memory Access) to bypass the CPU and improve data transfer efficiency. You notice that while the latency is low, the throughput is not meeting expected levels. Which of the following is the most effective method to optimize RDMA performance for this application?

Options :

A : Enable CPU coalescing to allow RDMA to use more CPU resources

B : Ensure proper alignment of memory buffers to cache lines.

C : Increase MTU size on InfiniBand network interfaces

D : Disable flow control mechanisms for RDMA transfers

Answer: B

Question 3

In the InfiniBand protocol stack, each layer plays a specific role in ensuring efficient data transfer and communication. Which of the following best describes the function of the data link layer in the InfiniBand protocol stack?

Options :

A : Establishes and maintains logical connections between applications and processes

B : Handles the physical transmission of data by converting bits into electrical or optical signals

C : Provides reliable point-to-point and multicast services, as well as error detection and correction

D : Implements flow control, congestion management, and ensures in-order delivery of messages

Answer: C

Question 4

Your organization has deployed an InfiniBand fabric for a data center, but recently you have been experiencing intermittent latency spikes and congestion issues. The InfiniBand fabric is used for both storage traffic (NVMe-oF) and computational workloads (GPU training). You suspect that the congestion is caused by unbalanced traffic patterns and insufficient congestion control mechanisms. Which of the following best practices should be implemented to address congestion and latency issues in your InfiniBand deployment?

Options :

A : Increase the MTU size for all links to reduce the number of packets traversing the fabric, reducing congestion.

B : Implement Congestion Control (CC) and use ECN (Explicit Congestion Notification) to reduce latency and balance traffic loads.

C : Use copper cables with built-in flow control mechanisms to improve resilience against congestion.

D : Enable Virtual Lane (VL) arbitration and configure lossless Ethernet to ensure priority for storage traffic.

Answer: B

Question 5

Your organization is deploying a new InfiniBand-based storage network for real-time data processing. Ensuring high performance is critical, but at the same time, the network must be highly reliable to handle the lossless transmission of large datasets. The environment will scale over time, and both storage and compute traffic will share the same fabric. You must implement a solution that ensures high performance, scalability, and minimal packet loss under heavy loads. Which best practice is most effective for ensuring reliability and performance in a scalable InfiniBand deployment that handles both compute and storage traffic?

Options :

A : Implement QoS (Quality of Service) to prioritize storage traffic while using Virtual Lanes (VLs) to segregate traffic classes.

B : Separate storage and compute traffic into different physical networks to avoid contention and improve reliability.

C : Enable congestion control and adaptive routing while maintaining high MTU sizes across all nodes.

D : Utilize static routing and disable congestion control to ensure that paths are deterministic for critical data flows.

Answer: C

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