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AI CERTs AI+ NetworkExamination Sample Questions:

1. (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.

2. (What distinguishes Kubernetes in the orchestration of containerized applications?)

A) It uses YAML files for device-level configuration tasks.
B) It restricts workloads to a single server for improved performance.
C) It requires manual intervention to balance workloads across nodes.
D) It automates deployment and scaling while managing container lifecycles.

3. (How does machine learning predict network traffic patterns?)

A) By compressing real-time network traffic logs.
B) By allocating bandwidth to prioritized applications.
C) By analyzing historical data and identifying trends.
D) By encrypting traffic flows for secure transmission.

4. (How does AI allocate network resources efficiently?)

A) By adapting bandwidth usage to real-time traffic needs.
B) By prioritizing data streams based on packet size only.
C) By maintaining consistent bandwidth across all devices.
D) By consolidating all traffic into a single channel.

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

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

Solutions: