Topic 1 Question 139
You work on a team in a data center that is responsible for server maintenance. Your management team wants you to build a predictive maintenance solution that uses monitoring data to detect potential server failures. Incident data has not been labeled yet. What should you do first?
Train a time-series model to predict the machines’ performance values. Configure an alert if a machine’s actual performance values significantly differ from the predicted performance values.
Develop a simple heuristic (e.g., based on z-score) to label the machines’ historical performance data. Use this heuristic to monitor server performance in real time.
Develop a simple heuristic (e.g., based on z-score) to label the machines’ historical performance data. Train a model to predict anomalies based on this labeled dataset.
Hire a team of qualified analysts to review and label the machines’ historical performance data. Train a model based on this manually labeled dataset.
ユーザの投票
コメント(9)
- 正解だと思う選択肢: B
https://developers. google.com/machine- learning/ guides/rules-of-ml
Answer B👍 2TNT872022/12/27 - 正解だと思う選択肢: D
Vote D
👍 1mil_spyro2022/12/13 - 正解だと思う選択肢: B
B should be first to do
👍 1mymy94182022/12/17
シャッフルモード