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| Section | Objectives |
|---|---|
| Topic 1: AI and Networking Fundamentals | - Introduction to AI in Networking
|
| Topic 2: AI in Network Security | - Security Automation
|
| Topic 3: Network Optimization and Management | - Traffic Optimization
|
| Topic 4: Network Technologies | - Network Function Virtualization (NFV)
|
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問題 #20
(What is the purpose of VLANs in a network?)
答案:A
解題說明:
Virtual Local Area Networks (VLANs) are used to logically divide a single physical network into multiple isolated broadcast domains. According to AI+ Network foundational documentation, VLANs allow network administrators to group devices based on function, department, or security requirements rather than physical location.
By segmenting a network logically, VLANs improve security by limiting broadcast traffic and reducing the scope of potential attacks. Devices in different VLANs cannot communicate directly without routing, which allows administrators to enforce access control policies. VLANs also enhance performance by reducing unnecessary broadcast traffic across the entire network.
VLANs do not enhance physical connectivity, provide internet access by themselves, or replace networking hardware. Instead, they work in conjunction with switches and routers to create scalable, secure, and efficient network architectures. AI+ Network materials consistently identify VLANs as a core technique for network segmentation and traffic management.
問題 #21
(Which scenario best exemplifies SDN's programmability in cloud networks?)
答案:D
解題說明:
Software-Defined Networking (SDN) programmability is best exemplified by defining traffic flows through a centralized controller. AI+ Network documentation explains that SDN separates the control plane from the data plane, allowing centralized controllers to programmatically define how traffic is handled across the network.
In cloud environments, this programmability enables administrators to dynamically control routing, segmentation, quality of service, and security policies using software rather than manual device-by-device configuration. Centralized controllers provide a global view of the network, allowing consistent and automated policy enforcement.
Adding physical servers addresses capacity but not network programmability. Proprietary APIs reduce interoperability, which contradicts SDN's vendor-agnostic goals. Automating legacy hardware may improve efficiency but does not demonstrate SDN's core principle of centralized, software-driven control. AI+ Network frameworks consistently identify centralized traffic flow definition as the clearest example of SDN programmability.
問題 #22
(What does a Local Area Network (LAN) typically connect?)
答案:B
解題說明:
A Local Area Network (LAN) typically connects devices within a limited geographic area such as an office, building, or campus. AI+ Network foundational networking materials define a LAN as a high-speed network designed for local communication, enabling users to share resources such as files, printers, applications, and internet access.
LANs operate using technologies like Ethernet and Wi-Fi and are characterized by low latency, high bandwidth, and centralized administration. They differ from Metropolitan Area Networks (MANs), Wide Area Networks (WANs), and Personal Area Networks (PANs), each of which serves a different geographic scope.
LANs form the core of enterprise internal networks and are often integrated with larger networks through routers and firewalls. AI+ Network training consistently highlights LANs as the first layer of organizational network architecture.
問題 #23
(How can SDN controllers enhance VNET management?)
答案:D
解題說明:
Software-Defined Networking (SDN) controllers enhance Virtual Network (VNET) management primarily through automated task provisioning. AI+ Network documentation explains that SDN introduces a centralized control plane that separates network intelligence from the data plane, enabling programmatic control of network behavior.
With SDN controllers, administrators can automatically provision network services such as routing, access control, segmentation, and bandwidth allocation across virtual networks. This automation reduces manual configuration errors and ensures consistency across large-scale environments. SDN controllers also enable rapid deployment of new services, dynamic policy enforcement, and real-time network optimization.
Options such as decentralized control and simplified local configuration contradict SDN's centralized, policy- driven design. Limited visibility is the opposite of SDN's advantage, as SDN provides enhanced, global visibility into network state. AI+ Network materials emphasize SDN controllers as key enablers of scalable, agile, and automated VNET management.
問題 #24
(How can ChatGPT assist network administrators in understanding complex networking concepts?)
答案:C
解題說明:
ChatGPT assists network administrators by providing detailed explanations and examples through natural language interaction. AI+ Network documentation describes conversational AI as a powerful knowledge- support tool that helps engineers understand complex networking concepts, protocols, configurations, and troubleshooting workflows.
Through interactive dialogue, ChatGPT can break down advanced topics such as routing protocols, automation frameworks, AI-driven optimization, and security models into clear, understandable explanations.
It can also provide contextual examples, configuration snippets, and step-by-step guidance tailored to the user' s level of expertise.
ChatGPT does not directly simulate networks, manage traffic, or monitor live environments. Instead, its value lies inknowledge acceleration, decision support, and learning enhancement, making it an effective assistant for both novice and experienced network professionals. AI+ Network materials emphasize AI assistants as key enablers of faster learning and operational efficiency.
問題 #25
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