Dynatrace Pro Certification Practice Exam

Where is time series data stored in Dynatrace?

1. Transactions Store

2. Cassandra

3. Elasticsearch

4. Data Lake

The correct answer is: Cassandra

In Dynatrace, time series data is stored in Cassandra, which is a highly scalable database designed to handle large volumes of data across many servers. This makes it well-suited for storing time series data, which often consists of continuous streams of numerical values collected at regular intervals. Cassandra's architecture allows for efficient writing and querying of data, ensuring that Dynatrace can aggregate and analyze performance metrics effectively. Time series data is crucial for monitoring the performance of applications and infrastructure, as it enables the detection of trends and anomalies over time. By leveraging Cassandra, Dynatrace ensures high availability and fault tolerance of time series data, making it a reliable choice for performance monitoring. The other storage options mentioned do serve important roles in the Dynatrace ecosystem but do not specifically handle time series data. Transactions Store deals with transactional data related to user interactions and system processes; Elasticsearch is typically used for log storage and searching capabilities; and Data Lake generally refers to a more expansive storage solution for unstructured data rather than specialized handling of time series metrics.