Microsoft Azure Data Engineer Associate - DP-203
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As part of your role in configuring monitoring services for a large-scale data processing system, you need to decide on the appropriate metrics to track and how to visualize these metrics effectively. Describe the key performance indicators (KPIs) you would focus on, the tools you would use to collect and visualize these metrics, and how you would ensure that the visualizations provide actionable insights.
As part of your role in configuring monitoring services for a large-scale data processing system, you need to decide on the appropriate metrics to track and how to visualize these metrics effectively. Describe the key performance indicators (KPIs) you would focus on, the tools you would use to collect and visualize these metrics, and how you would ensure that the visualizations provide actionable insights.
Explanation:
Focusing on CPU usage is crucial for understanding the performance bottlenecks in a data processing system. Azure Metrics Explorer is a powerful tool for collecting and analyzing metrics, and creating dashboards in Azure Portal ensures that these metrics are easily accessible and provide real-time insights, which are essential for making timely decisions.