AI CERTs AT-510 valid exam dumps : AI+ NetworkExamination

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AI CERTs AT-510 Exam Syllabus Topics:

AI CERTs AI+ NetworkExamination Sample Questions:

1. (What is the purpose of IoT sensors in smart cities?)

A) To prioritize network traffic based on static configuration files.
B) To encrypt data transmissions between IoT devices and cloud servers.
C) To replace traditional infrastructure with cloud-based systems.
D) To monitor and collect real-time data for optimizing city operations.

2. (What makes behavioral analysis effective against unknown cyber threats?)

A) It relies on predefined signatures to identify specific malware.
B) It focuses on analyzing static features like file metadata.
C) It uses manual investigation to identify suspicious activities.
D) It detects threats by monitoring deviations from normal activity.

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

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

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

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

Solutions: