Developing Solutions for Microsoft Azure (AZ-204) Practice Exam

Which metric collection approach is recommended for its real-time alerting capabilities in Azure?

1. Log-based

2. Pre-aggregated

3. Time-series

4. Control plane

The correct answer is: Pre-aggregated

The recommended metric collection approach for its real-time alerting capabilities in Azure is pre-aggregated metrics. Pre-aggregated metrics are designed to be processed and analyzed quickly, allowing for immediate insights into system performance and health. This capability is crucial for real-time alerting because it enables swift identification of issues as they occur, allowing teams to respond to potential problems without delay. Pre-aggregated metrics help in maintaining low latency during data ingestion and querying, which is essential for alerting scenarios where time is of the essence. This approach efficiently summarizes raw data at specific intervals, making it easier to generate alerts based on set thresholds or conditions. Other methods such as log-based approaches, while useful for in-depth analysis and diagnostics, typically require more processing time and are not optimized for immediate alerting. Time-series metrics focus on tracking changes over time but may not offer the same level of immediacy for triggering alerts as pre-aggregated data. Control plane metrics generally provide insights into the management and operational aspects of Azure resources but are not specifically tailored for real-time operational alerting. Therefore, pre-aggregated metrics stand out as the optimal choice for real-time alerting capabilities in Azure.