NVIDIA Certified Professional: AI Networking Practice Questions: AI Networking Architecture Domain
Test your NVIDIA Certified Professional: AI Networking knowledge with 10 practice questions from the AI Networking Architecture domain. Includes detailed explanations and answers.
NVIDIA Certified Professional: AI Networking Practice Questions
Master the AI Networking Architecture Domain
Test your knowledge in the AI Networking Architecture domain with these 10 practice questions. Each question is designed to help you prepare for the NVIDIA Certified Professional: AI Networking certification exam with detailed explanations to reinforce your learning.
Question 1
What is a recommended approach to optimize the performance of InfiniBand networks in AI workloads?
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Correct Answer: B
Explanation: Adaptive routing dynamically balances the load across multiple paths, which is crucial for optimizing performance in InfiniBand networks. Increasing MTU size beyond standard values can lead to fragmentation, strict priority queuing can cause starvation of lower-priority traffic, and reducing active ports can decrease available bandwidth.
Question 2
In the context of Spectrum-X optimization, which technique is most effective for monitoring and enhancing network performance in an AI-driven environment?
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Correct Answer: B
Explanation: Implementing telemetry for real-time network analytics is an effective technique for monitoring and enhancing network performance in AI-driven environments. Telemetry provides insights into network traffic patterns, helping to identify and resolve performance bottlenecks. Option A is incorrect because disabling flow control can lead to packet loss. Option C is incorrect because reducing the number of active ports can limit scalability. Option D is incorrect because static routing lacks the flexibility needed for dynamic AI workloads.
Question 3
During the deployment of an InfiniBand network for AI workloads, which configuration is essential to ensure optimal performance and scalability?
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Correct Answer: B
Explanation: Enabling Adaptive Routing is essential for optimizing performance and scalability in an InfiniBand network. It allows the network to dynamically adjust paths based on current traffic conditions, reducing congestion and improving throughput. Static IP addresses, while useful in some contexts, do not directly impact InfiniBand performance. Using a single subnet can limit scalability. Disabling QoS is not recommended as it can lead to unmanaged traffic flows.
Question 4
In a secure AI network using NVIDIA Spectrum-X, what is a recommended practice to ensure compliance with data protection regulations?
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Correct Answer: A
Explanation: Implementing network segmentation using VLANs is a recommended practice for enhancing security and ensuring compliance with data protection regulations. It isolates sensitive data and restricts access to authorized users only. Disabling logging, using default passwords, and allowing unrestricted access to management interfaces are insecure practices that can lead to unauthorized access and data breaches.
Question 5
When designing an enterprise AI network using NVIDIA Spectrum-X switches, which architecture pattern is most suitable for minimizing latency between compute nodes in a large-scale AI training cluster?
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Correct Answer: B
Explanation: Leaf-Spine Architecture is the most suitable for large-scale AI training clusters because it provides predictable and low-latency connections between compute nodes. This architecture allows for equal cost paths and efficient bandwidth utilization, which is crucial for AI workloads that require high throughput and low latency. Star and Ring topologies are less scalable and can introduce bottlenecks, while Mesh topology, though providing redundancy, is complex and not as efficient for large-scale deployments.
Question 6
How can you enhance the security of an AI network using NVIDIA Spectrum-X switches?
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Correct Answer: A
Explanation: Disabling unused ports on NVIDIA Spectrum-X switches is a simple yet effective security measure to prevent unauthorized access and reduce the attack surface of the network. Options B, C, and D do not enhance security and may not be relevant in the context of AI networking security.
Question 7
When troubleshooting InfiniBand connectivity issues in an AI network, which tool is most effective for diagnosing link-level problems?
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Correct Answer: B
Explanation: The 'ibstat' tool is most effective for diagnosing link-level problems in InfiniBand networks. It provides detailed information about the state of InfiniBand ports and links, helping to identify connectivity issues. Option A (Ping) and Option C (Traceroute) are more suited for IP networks and do not provide specific InfiniBand link-level diagnostics. Option D (Netstat) is used for monitoring network connections and routing tables but is not specific to InfiniBand.
Question 8
When designing an AI networking architecture using NVIDIA Spectrum-X switches, which architecture pattern is most suitable for minimizing latency in a high-performance computing environment?
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Correct Answer: A
Explanation: The Leaf-Spine architecture is ideal for minimizing latency in high-performance computing environments because it provides predictable and uniform latency, as each device is equidistant from one another. This is crucial for AI workloads that require fast data processing and minimal delay. Other architectures like Hub-and-Spoke, Ring, and Mesh introduce more complexity and potential for increased latency.
Question 9
What is the primary purpose of using a subnet manager in an InfiniBand network?
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Correct Answer: B
Explanation: The primary purpose of a subnet manager in an InfiniBand network is to manage and optimize routing paths. It ensures efficient communication between nodes by dynamically configuring the network topology. Options A, C, and D are not functions of a subnet manager in InfiniBand networks.
Question 10
Which of the following is a best practice for securing an InfiniBand network used for AI workloads?
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Correct Answer: C
Explanation: Enabling subnet manager security is a best practice for securing InfiniBand networks. It ensures that only authorized nodes can join the network and participate in data exchanges, which is crucial for maintaining the integrity and confidentiality of AI workloads.
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About NVIDIA Certified Professional: AI Networking Certification
The NVIDIA Certified Professional: AI Networking certification validates your expertise in ai networking architecture and other critical domains. Our comprehensive practice questions are carefully crafted to mirror the actual exam experience and help you identify knowledge gaps before test day.