Cisco Implementing Cisco Data Center AI Infrastructure Exam Practice Test
The 300-640 DCAI practice page focuses on infrastructure concepts that support AI workloads in data centers. Its question bank samples Linux isolation, server resilience, shared storage, GPU memory capacity, inference health checks, and Ethernet operations—areas that connect compute, data movement, and service availability for AI platforms.
Exam overview
About the Cisco Implementing Cisco Data Center AI Infrastructure Exam
AI infrastructure work involves matching workload needs to compute, storage, and network behavior. Questions in this bank use scenarios involving container isolation, where Linux namespaces help separate process and resource views, and artifact integrity, where hashes can reveal changes to model files. Other scenarios test capacity reasoning around GPU memory used by parameters and activations, plus shared-file access using NFS over IP networks. Network and service operations also appear: recognizing interface MAC addresses, checking Linux IP configuration, interpreting receive-error counters, and understanding priority flow control for loss-sensitive Ethernet traffic. Server power-supply redundancy and readiness-based load balancing provide examples of reducing service impact when a component or replica is unavailable. These concepts are useful when evaluating AI cluster readiness and investigating whether failures originate in host configuration, data access, network transport, or service health.
Sample Practice Questions
Review a selection from this exam's published US Practice Tests practice bank.
An organization wants to reduce the risk that a compromised training container can access unrelated host processes and files. Which Linux mechanism provides a foundation for isolating process and resource views?
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Correct answer: ALinux namespaces isolate views of resources such as processes, mounts, and network interfaces, forming part of container isolation. The other options do not provide this kind of isolation.
A data center team wants to reduce the impact of a single power-supply failure in a server. Which design feature most directly provides this protection?
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Correct answer: ARedundant power supplies can allow a server to remain powered if one supply fails, especially when they are connected to independent appropriate power sources. The other choices do not address the server's power path.
A platform team is designing a data path for AI training jobs that need to access files from multiple compute nodes. Which storage protocol is commonly used to provide shared file access over an IP network?
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Correct answer: ANFS is a network file system protocol that allows multiple clients to access shared files over a network. SMTP is for email, SNMP for device management, and NTP for time synchronization.
A data center team is sizing an AI cluster for a workload that keeps model parameters and intermediate activations in GPU memory. Which resource is most directly constrained when the model or batch size grows?
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Correct answer: AModel parameters, activations, and related tensors consume GPU memory. When that capacity is exceeded, the workload may require smaller batches, model partitioning, or additional accelerators.
A service exposes a readiness check for each inference replica. What should a load balancer generally do with a replica that fails this check?
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Correct answer: AA readiness check indicates whether an instance can currently handle requests. Excluding an unready replica from new traffic helps avoid failed or delayed requests while leaving healthy replicas available.
A server has multiple network interfaces, and an AI data pipeline needs a stable interface identity even when applications restart. Which identifier is normally assigned to the interface at the data-link layer?
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Correct answer: AA MAC address identifies a network interface at the data-link layer on a local network. TCP ports identify application endpoints, while DNS settings and HTTP status codes serve different purposes.
An operator needs to confirm that a server's Ethernet interface has the intended IP configuration before testing connectivity to another host. Which command is commonly used on Linux to inspect interface addresses?
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Correct answer: AThe Linux `ip addr` command displays network interfaces and their configured addresses. `df -h` reports filesystem space, `free -m` reports memory, and `lsblk` lists block devices.
How to use this practice test
Access is free. The 50-question bank supplies up to 20 random questions in a session, with results shown afterward. Use a session to identify gaps across host isolation, GPU capacity, storage access, and network troubleshooting; revisit missed concepts by explaining which infrastructure behavior the scenario tests.
Preparation tips
- Compare Linux namespaces and other isolation mechanisms by the process, mount, and network views they separate; relate that isolation to limiting a container's access to host resources.
- Work through GPU-memory estimates for model parameters and intermediate activations, and note how batch size changes memory demand.
- Review shared-file access over IP, including the role of NFS, and distinguish file-level access from block-storage access.
- Practice Linux interface checks with `ip addr` and interpret receive-side error counters before moving to higher-layer connectivity tests.
- Trace failure responses in scenarios involving redundant power supplies, readiness probes, and priority flow control; identify which component or traffic class each mechanism protects.