A great way to start the Cisco Certified Specialist - Data Center AI Infrastructure (DCAI) preparation is to begin by properly appreciating the role that syllabus and study guide play in the Cisco 300-640 certification exam. This study guide is an instrument to get you on the same page with Cisco and understand the nature of the Cisco CCNP Data Center exam.
Our team of experts has composed this Cisco 300-640 exam preparation guide to provide the overview about Implementing Cisco Data Center AI Infrastructure exam, study material, sample questions, practice exam and ways to interpret the exam objectives to help you assess your readiness for the Cisco DCAI exam by identifying prerequisite areas of knowledge. We recommend you to refer the simulation questions and practice test listed in this guide to determine what type of questions will be asked and the level of difficulty that could be tested in the Cisco CCNP Data Center certification exam.
Cisco 300-640 Exam Overview:
| Exam Name | Implementing Cisco Data Center AI Infrastructure |
| Exam Number | 300-640 DCAI |
| Exam Price | $300 USD |
| Duration | 90 minutes |
| Number of Questions | 55-65 |
| Passing Score | Variable (750-850 / 1000 Approx.) |
| Exam Registration | PEARSON VUE |
| Sample Questions | Cisco 300-640 Sample Questions |
| Practice Exam | Cisco Certified Specialist - Data Center AI Infrastructure Practice Test |
Cisco 300-640 Exam Topics:
| Section | Weight | Objectives |
|---|---|---|
| AI Fundamentals and Applications | 20% |
- Describe AI/ML workload types
- Describe the AI lifecycle
- Describe the components used for AI environments
- Describe Cisco AI solutions
|
| AI Infrastructure Components and Architecture | 30% |
- Evaluate network deployment based on AI workload requirements such as bandwidth, latency, redundancy, scalability, and security
- Evaluate compute deployment based on AI workload requirements such as CPU resources, GPU resources and connectivity, memory, virtualization support, scalability redundancy, and workload types - Evaluate storage deployment based on AI workload requirements such as capacity, performance, redundancy and availability, and scalability - Evaluate power, efficiency, and sustainability based on AI workload requirements such as power and cooling, power usage effectiveness, and renewable energy - Evaluate hybrid AI deployment with cloud integration such as secure connectivity, data synchronization, and workload mobility |
| AI Infrastructure Deployment and Data Management | 30% |
- Configure high-performance networks to support AI workloads using Cisco Data Center
- Configure high-performance compute and storage to support AI workloads using Cisco UCS
- Deploy AI-ready fabrics using Cisco orchestration tools
|
| AI Infrastructure Operations and Troubleshooting | 20% |
- Implement benchmarks to evaluate AI infrastructure performance - Implement monitoring of AI data center infrastructures using Cisco solutions such as Nexus Dashboard and Intersight - Monitor AI infrastructure using system messages and management tools to ensure reliability, scalability and performance
- Troubleshoot AI infrastructure using system messages and management tools |
Cisco DCAI Exam Description:
Implementing Cisco Data Center AI Infrastructure v1.0 (DCAI 300-640) is a 90-minute examination associated with the CCNP Data Center Certification. This exam certifies a candidate's knowledge in the design, implementation, monitoring, and troubleshooting of AI infrastructure, including network, compute, storage, and orchestration solutions. The courses, Operate and Troubleshoot AI Solutions on Cisco Infrastructure (DCAIAOT) and AI Solutions on Cisco Infrastructure Essentials (DCAIE), help candidates prepare for this exam.
