- Exam Code: 300-640
- Exam Name: Implementing Cisco Data Center AI Infrastructure
- Updated: Oct 13, 2026
- Q & A: 82 Questions and Answers
The Cisco certification track carries real weight in the global IT job market, and the 300-640 exam is where that reputation gets tested. Actual4Dumps built its 82 practice questions for candidates who want preparation that respects their time, and every item is reviewed by experts who follow the exam's changing trends. A free demo is available before you spend anything.
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Infrastructure Fundamentals | 15% | - AI Workload Characteristics - AI Ecosystem Components - AI Infrastructure Requirements - GPU Architecture and Types |
| Topic 2: AI Infrastructure Operations | 20% | - Performance Optimization - Capacity Planning - Monitoring and Management Tools - Troubleshooting Common Issues |
| Topic 3: Cisco AI Infrastructure Architecture | 30% | - Storage Architecture Considerations - Network Architecture for AI Workloads - Cisco UCS AI Infrastructure Solutions - Hyperconverged Infrastructure for AI |
| Topic 4: AI Infrastructure Security and Compliance | 10% | - Access Control and Authentication - Security Best Practices - Compliance Considerations |
| Topic 5: AI Infrastructure Deployment | 25% | - Storage Configuration for AI - Cabling and Connectivity - Hardware Installation and Configuration - GPU Server Configuration - Network Switch Configuration |
The official Cisco Implementing Cisco Data Center AI Infrastructure outline divides the exam into 5 major domains. The three that carry the most weight are AI Infrastructure Security and Compliance (10%), AI Infrastructure Operations (20%), and AI Infrastructure Fundamentals (15%). You can see the full breakdown in the topics section above, and the 82 practice questions at Actual4Dumps cover every listed domain.
The Cisco Implementing Cisco Data Center AI Infrastructure exam presents 55-65 and allows 90 minutes. That pacing works out to a bit more than a minute per question, so timed practice matters — the Actual4Dumps Desktop and Online Test Engines both let you rehearse under exam-style time limits before the real thing.
Cisco recommends the following training and study resources for the Cisco Implementing Cisco Data Center AI Infrastructure exam:
Official courses are a solid foundation, and many candidates pair them with the 82 practice questions from Actual4Dumps to test whether the material actually sticks under exam-style conditions.
The 300-640 exam is a Cisco certification exam that validates the knowledge outlined in the official Cisco Implementing Cisco Data Center AI Infrastructure syllabus shown above. It is associated with the following credential paths: Cisco Certified Specialist - Data Center AI Infrastructure. Employers in 2026 continue to treat Cisco credentials as reliable proof of skill, which is why the exam attracts candidates at many career stages. Actual4Dumps supports your preparation with 82 practice questions in PDF, Desktop Test Engine, and Online Test Engine formats.
Recommended: CCNP Data Center or equivalent knowledge; Familiarity with data center networking concepts For the most current eligibility details, always confirm on the official Cisco exam page before you schedule.
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The passing score for the Cisco Implementing Cisco Data Center AI Infrastructure exam is 700-1000, and the registration fee is USD 400. Since a retake means paying the fee again, it makes financial sense to walk in prepared — a self-test with the Actual4Dumps practice engines shows you roughly where you stand before you spend that money.
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An engineer deploys an AI fabric on Cisco Nexus 9000 Series Switches connected to Cisco UCS nodes with NVIDIA GPUs. The requirements call for optimal network performance for training workloads. Adaptive routing is enabled on the NICs, and per-packet load balancing is enabled on the switches. Which other configuration must be implemented for this integration to be fully operational?
Correct Answer: B 🗳️
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A company implements multicast traffic optimization for distributed AI training nodes. Which protocol enables efficient multicast receiver discovery in IPv4 networks?
Correct Answer: D 🗳️
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Which network design approach should be used to build a high-performance, nonblocking AI/ML data center fabric that supports 64 fully equipped UCS C885A nodes and provides the lowest possible latency and lossless Ethernet?
Correct Answer: D 🗳️
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A data center facility experienced a power outage, and the UCS X-Series servers did not restart automatically when power is restored. The configuration must be updated to prioritize these servers to boot as soon as possible to resume their work. Which set of power policy configurations must be used to meet these requirements?
Correct Answer: B 🗳️
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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?
Correct Answer: D 🗳️
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