It was more of a real time scenario based questions than of theoretical. As I have attended for DevOps questions are mostly above the helm charts, Kubernetes , and micro service deployments and scaling as well , Also touch based on how well I have understood my existing infrastructure
How would you design a metrics collector system?
What happens when you type URL in the browser?
1. How would you scale from 0 to millions? 2. Load balancer, round robin approach, when it will not be effective. 3. Spring-boot questions on annotations and IOC. 4. Leetcode medium question.
Easy DSA questions Questions on previous projects
In a managed Apache Hadoop environment—like an Amazon EMR cluster—when the storage capacity on your cluster fills up, there is no convenient solution to deal with it. This situation occurs because you set up Amazon Elastic Block Store (Amazon EBS) volumes and configure mount points when the cluster is launched, so it’s difficult to modify the storage capacity after the cluster is running. The feasible solutions usually involve adding more nodes to your cluster, backing up your data to a data lake, and then launching a new cluster with a higher storage capacity. Or, if the data that occupies the storage is expendable, removing the excess data is usually the way to go.
topk freq elements timeseries data structure
Interviews focused mainly on system design such as design a url shortner.
Binary tree traversal, arrays, merge intervals, an a dfs/bfs.
What is the most challenge thing u faced
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