Infrastructure Implementation and Operations Questions

Hands on design, deployment, and operational management of infrastructure components and services. This includes setting up and configuring load balancers, database replication and high availability, caching layers, networking and network security, service discovery and routing, container deployment and orchestration, monitoring and observability, logging and alerting, backup and disaster recovery strategies, and secrets management in runtime. Candidates should be able to walk through concrete implementations, explain trade offs, demonstrate troubleshooting and performance tuning, and show how infrastructure components integrate to meet availability, scalability, and security requirements.

EasyTechnical

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Write a Terraform resource snippet (HCL) that provisions an AWS S3 bucket with versioning enabled, server-side encryption (SSE-S3), and a lifecycle rule to transition objects older than 30 days to Glacier. Provide only the aws_s3_bucket resource block in HCL.

MediumTechnical

0 practiced

You lead a team migrating production data pipelines from VMs to Kubernetes. Prepare a risk-aware rollout plan: phases, testing approach, rollback strategies, metrics to validate correctness, and responsibilities across SRE, data engineering, and QA teams.

MediumTechnical

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Compare columnar and row-oriented storage for analytical datasets. For a partitioned Parquet-based data lake targeted at ad-hoc analytics, recommend partitioning strategy, ideal file size range, and compaction approach to optimize query performance and cost.

MediumSystem Design

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Design an end-to-end observability pipeline for data pipelines: collectors (metrics, logs, traces), processing/aggregation layer, storage backends, alerting, and dashboards. Include retention strategies, sampling, and choices for open-source or managed tools.

HardTechnical

0 practiced

Design a Kafka partitioning and keying strategy for topics produced by multiple microservices with mixed event types. Your design should balance hotspot mitigation, consumer parallelism, and ordering guarantees. Explain how to change partitioning later without data loss or excessive reprocessing.

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