PCA (Prometheus Certified Associate) sample exam question with answer 453

Question:
Which of the following is a method for scaling Prometheus to handle large amounts of metrics data?

1. Increasing the retention period for metrics data
2. Running multiple Prometheus servers in a cluster
3. Using a different storage backend
4. Reducing the number of metrics being collected

Answer:
B - is correct. Running multiple Prometheus servers in a cluster is a method for scaling Prometheus to handle large amounts of metrics data. Each server in the cluster collects a subset of the metrics data and sends it to a central storage system, allowing for horizontal scalability. Increasing the retention period for metrics data, using a different storage backend, and reducing the number of metrics being collected are not methods for scaling Prometheus