Deployment Orchestration and Cloud Platforms Questions

Design deployment architecture and orchestration for applications and infrastructure on cloud platforms. Topics include containerization and container orchestration systems, how orchestration and platform services affect deployment strategy, operational considerations for scaling and reliability, integration of monitoring and logging, and decision criteria for when orchestration adds value. Candidates should be able to describe deployment models for monoliths and microservices, patterns for scaling and resilience, and cloud native considerations such as managed services, auto scaling policies, and environment separation.

EasyTechnical

87 practiced

Explain the role of artifact repositories (container registries and binary artifact stores) in release engineering. What key features (immutability, access control, scanning, retention, metadata) should a Solutions Architect require when specifying an artifact repository for an enterprise?

EasyTechnical

66 practiced

Briefly compare horizontal pod autoscaling (HPA), vertical pod autoscaling (VPA), and cluster autoscaling. For each, provide one use case and a limitation that an architect must consider when designing scaling strategies.

MediumTechnical

90 practiced

Design a cost-optimized deployment architecture for Kubernetes across cloud. Include node sizing strategy, use of spot/preemptible instances, node pools, autoscaler tuning, and multi-tenant considerations to avoid performance interference while minimizing cost.

HardTechnical

77 practiced

Design deployment orchestration and scaling for stateful stream processing (e.g., Apache Flink or Kafka Streams) across cloud clusters. Ensure checkpoint durability, exactly-once semantics, failover strategies, and elastic scaling while preserving state consistency.

MediumTechnical

79 practiced

You must recommend an Infrastructure-as-Code strategy and workflow across multiple cloud accounts. Choose tooling (e.g., Terraform, CloudFormation, Pulumi), explain state management, drift detection, plan/apply workflows, and how you would enforce guardrails (policy-as-code) and remediate drift.

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