AI CERTs AI+ NetworkExamination : AT-510

AT-510 - AI+ NetworkExamination 考古題讓你考試達到事半功倍的效果

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AI CERTs AT-510 考試大綱主題:

最新的 AI Security AT-510 免費考試真題：

1. (Scenario: A multinational corporation with offices in multiple countries is experiencing significant delays in data processing due to the centralized routing of all traffic to a single data center. The company wants to minimize latency and improve real-time processing capabilities while ensuring that data remains secure within the local regions.
Question: What strategy should they adopt to address these challenges?)

A) Deploy a single VNET to handle all global traffic centrally.
B) Implement edge computing to process data closer to its origin and reduce latency.
C) Consolidate traffic into fewer subnets using VLANs for simplicity.
D) Use a hybrid cloud setup to distribute traffic across multiple public and private networks.

2. (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) Open-AppSec, which focuses on securing web applications and APIs.
B) PentestGPT, which identifies vulnerabilities during penetration testing.
C) AIEngine, providing programmable packet inspection and DNS domain classification.
D) DeepSlice, which focuses on load management in 5G networks.

3. (How does AI optimize resource allocation in 5G networks?)

A) By reallocating bandwidth dynamically to prioritize high-traffic areas.
B) By replacing manual network configurations with static rules.
C) By automating all device authentication processes on the network.
D) By reducing data flow between IoT devices and cloud servers.

4. (Which feature of Zero Trust Architecture best addresses insider threats by enforcing dynamic and continuous access controls?)

A) Role-Based Access Control (RBAC)
B) Static IP-based rules
C) Network perimeter segmentation
D) Firewalls to block unverified internal traffic

5. (Scenario: A smart city project integrates IoT-enabled traffic sensors, public safety cameras, and real-time weather monitors. However, the network experiences high latency during peak hours, causing delays in traffic light adjustments and emergency alerts. The city requires a solution to prioritize critical data and ensure smooth operations during high-demand periods.
Question: Which AI-driven approach best addresses this challenge?)

A) Deploying static network slices to reduce overall data processing load.
B) Manual reconfiguration of network routers to handle peak-hour loads.
C) Segregating IoT devices into isolated networks for improved security.
D) Traffic prioritization and real-time routing optimization using AI models.

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