Which telemetry technique is used to detect congestion in an AI network?

Counting the number of VLANs configured.

Checking the routing table size.

Measuring the CPU usage of switches.

Monitoring queue depths and ECN-marked packets.

What is the primary purpose of RDMA over Converged Ethernet (RoCE) in an AI data center?

To provide a backup path for storage traffic in case of link failure.

To replace TCP/IP for all internet-facing traffic.

To enable high-throughput, low-latency data transfers directly between GPU memory and remote servers.

To provide a secure tunnel for management traffic between switches.

Which set of technologies are the primary components of Data Center Bridging (DCB)?

PFC, ECN, and Enhanced Transmission Selection (ETS)

A network operations team is troubleshooting intermittent performance issues in an AI training cluster. The team has deployed sFlow with 1:1000 sampling on all switches, but they are unable to identify the root cause because the congestion events are short-lived and occur on different paths each time. The team needs to capture detailed information about the congested paths, including queue depth and latency, for each packet. Which approach should they use?

Use SNMP polling with 1-second intervals

Deploy In-band Network Telemetry (INT) on the AI traffic class

Increase sFlow sampling rate to 1:1 on all switches

Enable NetFlow with 1:1 sampling on the core switches only

What is the primary purpose of network telemetry in an AI data center?

To replace the need for network monitoring tools.

To provide real-time visibility into network health and performance.

To automatically configure network devices.

CiscoCertified Network Professional Data Center

Domain 4Objective 3

4.3 Describe High-Performance Network Enabling Technologies for AI in Data Center Infrastructure 350-601 Practice Questions (Page 3)

Part of the Automation and Artificial Intelligence domain, which accounts for 15% of the 350-601 exam. Cisco does not publish an official question count, but from its 120-minute exam (~50–80 total, ~8–12 in this domain), expect 3–4 from this objective — we provide 31 practice questions to prepare you well beyond it. (estimate)

31questions here

7free pages

9concepts

15%of the exam

Questions 11–15

11foundation · easy
Which telemetry technique is used to detect congestion in an AI network?
Select an answer first
12foundation · easy
What is the primary purpose of RDMA over Converged Ethernet (RoCE) in an AI data center?
Select an answer first
13foundation · easy
Which set of technologies are the primary components of Data Center Bridging (DCB)?
Select an answer first
14expert · hard
A network operations team is troubleshooting intermittent performance issues in an AI training cluster. The team has deployed sFlow with 1:1000 sampling on all switches, but they are unable to identify the root cause because the congestion events are short-lived and occur on different paths each time. The team needs to capture detailed information about the congested paths, including queue depth and latency, for each packet. Which approach should they use?
Select an answer first
15foundation · easy
What is the primary purpose of network telemetry in an AI data center?
Select an answer first

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