300-640 Valid Exam Dumps: Implementing Cisco Data Center AI Infrastructure - Valid Cisco 300-640 New Exam Camp

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Cisco 300-640 Exam Syllabus Topics:

SectionWeightObjectives
AI Infrastructure Fundamentals15%- AI Infrastructure Requirements
- AI Ecosystem Components
- AI Workload Characteristics
- GPU Architecture and Types
Cisco AI Infrastructure Architecture30%- Storage Architecture Considerations
- Cisco UCS AI Infrastructure Solutions
- Hyperconverged Infrastructure for AI
- Network Architecture for AI Workloads
AI Infrastructure Security and Compliance10%- Security Best Practices
- Compliance Considerations
- Access Control and Authentication
AI Infrastructure Deployment25%- Hardware Installation and Configuration
- Cabling and Connectivity
- Network Switch Configuration
- Storage Configuration for AI
- GPU Server Configuration
AI Infrastructure Operations20%- Performance Optimization
- Capacity Planning
- Monitoring and Management Tools
- Troubleshooting Common Issues

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Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions (Q80-Q85):

NEW QUESTION # 80
An engineer must optimize the performance of an AI inference workload running on a Cisco UCS C-Series rack server. The workload experiences intermittent latency spikes, and Intersight system logs show frequent thermal event entries. Which troubleshooting action must be taken first to address the performance issues on the Cisco UCS server?

Answer: D

Explanation:
Frequent thermal events indicate that the server may be throttling CPU or GPU performance to protect hardware from overheating. The first action is to verify the physical cooling conditions, including ambient temperature, airflow, and fan health, because resolving thermal constraints directly addresses the likely cause of intermittent latency spikes.


NEW QUESTION # 81
What is a primary behavior that occurs during the model training stage of the AI lifecycle?

Answer: B

Explanation:
During model training, the model learns from training data by iteratively adjusting its internal weights and biases to reduce prediction error and improve performance against the defined objective function.


NEW QUESTION # 82
What does workload distribution offer in an AI infrastructure with local and external resources?

Answer: A

Explanation:
Workload distribution in AI infrastructure enables computational tasks to be spread across local and external resources, improving scalability, resource utilization, and execution flexibility across multiple processing locations.


NEW QUESTION # 83
Server administrators receive reports of power utilization being near capacity across multiple UCS X-Series servers in the data center after a hardware upgrade. The chassis operates with six power supply units in redundant power mode. How can the administrator use additional power without impacting redundancy?

Answer: C

Explanation:
Extended power capacity allows a UCS X-Series chassis with six power supplies in redundant mode to make additional power available while still preserving redundancy. This is used when power demand increases after hardware upgrades and the administrator needs more usable power without changing the redundant power configuration.


NEW QUESTION # 84
A Cisco AI environment requires synchronized packet processing timestamps across network devices for analytics accuracy. Which protocol should be deployed?

Answer: B

Explanation:
Precision Time Protocol (PTP) provides highly accurate clock synchronization required for latency-sensitive AI and analytics environments. NTP offers lower precision suitable for general IT systems. FTP and DNS are unrelated to time synchronization.


NEW QUESTION # 85
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