200-301 Question 482
Select 3A network administrator is tasked with implementing a solution to predict network congestion and automatically adjust network configurations to prevent downtime. Which capabilities of AI and machine learning best align with this requirement?
- A
Predictive analytics to forecast potential network issues before they occur
- B
Generative AI to create new network topologies in case of failures
- C
Anomaly detection to identify unusual traffic patterns in real-time
- D
Manual configuration scripts to address predictable network issues
- E
Automated policy adjustments based on learned network behavior
Show answer and explanation
Correct answers: A, C, E
Explanation
The scenario describes a need for predictive and proactive network management. Predictive analytics (1) forecasts issues before they occur, while anomaly detection (3) identifies real-time traffic irregularities. Automated policy adjustments (5) use machine learning to adapt configurations dynamically. Together, these capabilities align with the requirement to prevent downtime and maintain optimal network performance.
- A. Correct.
Predictive analytics is a key AI capability used to analyze historical data and predict potential network issues, making it relevant to the scenario.
- B. Incorrect.
Generative AI is typically used to create new outputs (like natural language or images) and is not directly applicable to predicting or preventing network congestion.
- C. Correct.
Anomaly detection is a machine learning approach used to identify unusual or unexpected patterns in network traffic, helping to address issues proactively.
- D. Incorrect.
Manual configuration scripts are not part of AI or machine learning capabilities and require human intervention, making them less efficient for this use case.
- E. Correct.
Automated policy adjustments leverage machine learning to adapt to network behavior changes, aligning with the scenario's requirement for automatic adjustments.