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Cisco 300-640 Exam Syllabus Topics:

Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions:

1. Drag and Drop Question
An engineer must configure vNIC templates for a UCS X-Series deployment. Drag and drop the policy types from the left onto the corresponding configuration settings on the right. Not all options are used.

2. Which result is provided through image recognition using AI?

A) routing of multicast messages across network boundaries
B) detection and labeling of visual elements from digital sources
C) anonymization of audit trails for compliance objectives
D) scheduling of management tasks during maintenance periods

3. Drag and Drop Question

Refer to the exhibit. When a new AI backend network that supports Cisco UCS-based GPU servers with NVIDIA Connect-X network adapters is benchmarked, the traffic distribution observed has unacceptable variability across the interfaces. Drag and drop the code snippets from the bottom onto the boxes in the code to configure the switch to resolve the issue.

4. A bank is planning to deploy an AI inference solution at its branch locations. The solution must support workloads that require a balance of compute, memory, and potential GPU acceleration, and it must be suitable for installation by nontechnical onsite resources. The requirements are:
- high availability of the chassis management plane.
- support for up to 768 GB of memory for in-memory model storage and
processing
- remote server launch requiring no on-site IT staff
- use of Cisco Intersight for SaaS-based infrastructure lifecycle
management
Which solution meets the requirements?

A) Cisco Unified Edge
B) Cisco UCS C845A M8 Server
C) Cisco UCS X-Series Direct
D) Cisco UCS C240 Servers

5. A data center is deploying an AI infrastructure for LLM training and model inference. This infrastructure requires high GPU density, low-latency interconnects, and the ability to scale compute resources. When considering the Cisco UCS C885A M8 Rack Server for the deployment, which design aspect is the most critical for achieving optimal performance and scalability in this environment?

A) using the maximum number of CPU cores to support the virtualization overhead
B) configuring the server with the minimum amount of RAM to reduce initial costs
C) selecting the appropriate Nexus Fabric and its configuration to minimize latency
D) implementing a redundant power supply configuration to ensure high availability

Solutions: