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[General] Pass Guaranteed Quiz 2026 AI CERTs AT-510: AI+ NetworkExamination–Efficient Best

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【General】 Pass Guaranteed Quiz 2026 AI CERTs AT-510: AI+ NetworkExamination–Efficient Best

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AI CERTs AI+ NetworkExamination Sample Questions (Q39-Q44):NEW QUESTION # 39
(A large-scale enterprise faces frequent DNS spoofing attacks and requires a system that can classify DNS domains dynamically, detect potential threats, and integrate seamlessly into its network environment without manual intervention.
Which tool is best suited?)
  • A. PentestGPT, which identifies vulnerabilities during penetration testing.
  • B. Open-AppSec, which focuses on securing web applications and APIs.
  • C. AIEngine, providing programmable packet inspection and DNS domain classification.
  • D. DeepSlice, which focuses on load management in 5G networks.
Answer: C
Explanation:
AIEngine is the most suitable tool for defending against DNS spoofing attacks through dynamic DNS domain classification and programmable packet inspection. AI+ Network security documentation explains that AIEngine operates directly within the network fabric, enabling real-time inspection of DNS traffic and automated response to suspicious domains.
By leveraging AI-driven classification, AIEngine can detect malicious or spoofed DNS queries without relying solely on static signatures. Its seamless integration into the network allows automatic mitigation actions such as blocking, rerouting, or alerting, all without manual intervention.
DeepSlice addresses 5G slicing optimization, PentestGPT focuses on vulnerability discovery rather than live defense, and Open-AppSec is limited to application-layer security. AI+ Network frameworks clearly position AIEngine as an adaptive, inline security and traffic management solution.

NEW QUESTION # 40
(What is the purpose of VLANs in a network?)
  • A. To replace the need for network switches and routers.
  • B. To enhance physical connectivity between devices.
  • C. To provide internet access to all connected devices.
  • D. To logically divide a physical network into isolated segments.
Answer: D
Explanation:
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.

NEW QUESTION # 41
(In GNS3, what command would you use on Router1 to test connectivity with Router2 after configuring a serial link?)
  • A. traceroute [Router1_IP_Address]
  • B. ping [Router2_IP_Address]
  • C. configure terminal
  • D. show ip interface brief
Answer: B
Explanation:
The ping [Router2_IP_Address] command is the correct method to test connectivity between Router1 and Router2 after configuring a serial link in GNS3. AI+ Network lab guidelines identify ping as the primary Layer 3 verification tool used to confirm successful IP communication between network devices.
After configuring IP addresses, encapsulation, and clocking on a serial interface, ping sends ICMP Echo Request packets to the destination router. Receiving Echo Reply messages confirms that the serial link is operational, routing is correct, and no Layer 1 or Layer 2 issues exist.
Other commands serve different purposes. show ip interface brief displays interface status but does not test packet flow. traceroute is used to analyze multi-hop paths, not direct link validation. configure terminal enters configuration mode and is unrelated to testing connectivity.
AI+ Network hands-on labs consistently instruct learners to verify link-level and network-level connectivity using ping immediately after configuration changes.

NEW QUESTION # 42
(What does a Local Area Network (LAN) typically connect?)
  • A. Devices across multiple countries for global access.
  • B. Devices within a limited area such as an office.
  • C. Devices within a large city for resource sharing.
  • D. Devices within a short range such as a personal area.
Answer: B
Explanation:
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.

NEW QUESTION # 43
(Scenario: A video streaming platform experiences congestion during prime-time hours, resulting in buffering issues for users. It requires a solution to distribute server loads efficiently while maintaining a seamless viewing experience for users.
Question: Which solution should the platform implement?)
  • A. Fixed bandwidth assignment for all user connections.
  • B. Manual server allocation to manage high-demand streams.
  • C. AI-based load balancing to reroute traffic dynamically.
  • D. Increased server count without traffic optimization.
Answer: C
Explanation:
AI-based load balancing is the most effective solution for managing congestion and ensuring a seamless video streaming experience. AI+ Network documentation explains that AI-driven load balancers analyze real-time traffic patterns, user demand, server health, and network conditions to dynamically route traffic to optimal resources.
Unlike static or manual allocation methods, AI-based systems adapt instantly to spikes in demand, such as prime-time viewing hours. This ensures that no single server becomes overloaded while others remain underutilized. AI-driven rerouting reduces latency, prevents buffering, and improves overall Quality of Experience (QoE) for users.
Simply increasing server count without intelligent traffic distribution does not guarantee performance improvements and often leads to inefficiencies. Fixed bandwidth assignments fail to accommodate fluctuating demand, and manual intervention is too slow for real-time environments. AI+ Network best practices clearly position AI-based load balancing as a critical technology for scalable, high-performance content delivery platforms.

NEW QUESTION # 44
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