[NEW] Mastering Cisco AI Infrastructure

AI Infrastructure Deployment and Data Management (30%) - Configure high-performance networks for AI workloads (PFC, ECN, ETS, RoCE, QoS, load distribution), Configure high-performance compute and storage on Cisco UCS (domain profiles, power policies, storage policies, vNIC policies, QoS classes), Evaluate hybrid AI deployment with cloud integration (secure connectivity, data synchronization, workload mobility), Implement data management practices for AI pipelines (ingestion, processing, lifecycle), Apply virtualization and containerization for AI workloads,

AI Infrastructure Operations and Troubleshooting (20%) - Implement benchmarks to evaluate AI infrastructure performance, Monitor AI data-center infrastructure using Cisco tools (Nexus Dashboard, Intersight, telemetry, alerts), Analyze system messages and logs for troubleshooting, Perform root-cause analysis of performance or reliability issues, Apply best practices for security and sustainability in AI operations,

AI Infrastructure Components and Architecture (30%) - Evaluate network design based on AI workload requirements (bandwidth, latency, redundancy, security), Evaluate compute design (CPU, GPU resources, memory, virtualization support, scalability), Evaluate storage design (capacity, performance, redundancy, availability), Assess power, efficiency, and sustainability considerations (PUE, cooling, renewable energy), Design hybrid AI deployments integrating on-premises and cloud resources,

B) Standard Inference

C) Retrieval-Augmented Generation (RAG)

D) Supervised Image Classification

E) Unsupervised Clustering

F) Reinforcement Learning

Correct Answer: C

Overall Explanation: Retrieval-Augmented Generation combines large language models with external knowledge retrieval to improve accuracy and context,

A is incorrect because pre-training involves training a model from scratch on large datasets, not querying external databases during generation,

B is incorrect because standard inference applies a trained model to new data without the specific retrieval step,

C is correct because Retrieval-Augmented Generation specifically retrieves external data to ground the generated output,

D is incorrect because supervised classification assigns labels to data based on labeled training,

E is incorrect because unsupervised clustering groups unlabelled data,

F is incorrect because reinforcement learning trains models via reward feedback,

Question 2: When configuring high-performance networks for AI workloads on Cisco infrastructure, which mechanism ensures lossless transport by pausing traffic on a per-priority basis?

B) Priority Flow Control (PFC)

C) RDMA over Converged Ethernet (RoCE)

D) Enhanced Transmission Selection (ETS)

E) Quality of Service Policing

F) Virtual PortChannel (vPC)

Correct Answer: B

Overall Explanation: Priority Flow Control is a key technology in data center bridging that provides lossless delivery for specific classes of service by pausing traffic,

A is incorrect because ECN marks packets to signal congestion rather than pausing traffic directly,

B is correct because PFC sends pause frames for specific priorities to prevent dropped packets, ensuring lossless transport,

C is incorrect because RoCE is the protocol utilizing the lossless network, not the pause mechanism itself,

D is incorrect because ETS manages bandwidth allocation across different traffic classes,

E is incorrect because QoS policing limits bandwidth rather than guaranteeing lossless transport,

F is incorrect because vPC provides link redundancy and load balancing,

Question 3: Which Cisco tool provides centralized management, monitoring, and telemetry for troubleshooting an AI data-center infrastructure?

B) Cisco 300 715 implementing cisco identity services engine tests

C) Cisco Packet Tracer

D) Cisco Umbrella

E) Cisco Secure Firewall Management Center

F) Cisco Catalyst Center

Correct Answer: A

Overall Explanation: Cisco Nexus Dashboard is the primary platform used to monitor, manage, and troubleshoot data center network infrastructure, making it critical for AI environments,

A is correct because Nexus Dashboard offers telemetry, alerts, and analytics specifically designed for data center operations,

B is incorrect because ISE is used for identity and access management on the network,

C is incorrect because Packet Tracer is a network simulation tool for learning, not enterprise data center monitoring,

D is incorrect because Umbrella provides cloud-based DNS security,

E is incorrect because Secure Firewall Management Center is dedicated to firewall administration,

F is incorrect because Catalyst Center is typically used for enterprise campus networks, not specialized data center AI fabrics,

You can retake the exams as many times as you want,

This is a huge original question bank,

You get support from instructors if you have questions,

Each question has a detailed explanation,

Mobile-compatible with the Udemy app,