200-301 Question 485
Select 3A network operations team has implemented a monitoring tool that uses machine learning to analyze historical traffic data and predict future bandwidth requirements. The system also generates alerts when abnormal traffic patterns are detected. Which benefits does this implementation provide to the network operations team?
- A
Improved capacity planning through predictive analytics
- B
Automated response to all detected network anomalies
- C
Early detection of potential network issues
- D
Elimination of the need for manual network monitoring
- E
Reduction in downtime through proactive alerting
Show answer and explanation
Correct answers: A, C, E
Explanation
The implementation of machine learning in network operations provides significant benefits, such as improved capacity planning, early anomaly detection, and proactive alerting, which collectively enhance network performance and reliability. However, it does not fully automate responses or eliminate the need for manual oversight.
- A. Correct.
The use of machine learning for predictive analytics helps the team plan for future bandwidth requirements, improving capacity planning.
- B. Incorrect.
While alerts are generated, the system does not necessarily automate all responses to anomalies, as that would require additional automation tools.
- C. Correct.
Machine learning enables early detection of irregular patterns in network traffic, allowing the team to address potential issues proactively.
- D. Incorrect.
Although machine learning reduces reliance on manual monitoring, it does not completely eliminate the need for human oversight in network operations.
- E. Correct.
Proactive alerting helps the team address issues before they escalate, reducing overall downtime.