InterviewStack.io LogoInterviewStack.io

Cloud Platform Fundamentals Questions

Comprehensive understanding of core public cloud services and the primary trade offs when selecting among them across major providers such as Amazon Web Services, Microsoft Azure, and Google Cloud Platform. Candidates should know compute options including virtual machines, managed compute, containers and serverless functions; storage types including object, block and file storage and lifecycle and archival strategies; managed database offerings for relational, non relational, and data warehouse workloads; networking fundamentals including virtual private networks, subnets, routing, load balancing, content delivery networks, and private connectivity; messaging and integration services such as message queues and event streaming; identity and access management and secrets management; monitoring, logging, and observability; autoscaling, elasticity, high availability, and basic disaster recovery patterns; and cost and pricing considerations. The topic also covers the trade offs between managed services and self managed infrastructure in terms of consistency, latency, cost, operational overhead, and durability, and the ability to map common workload requirements to the right service categories.

MediumTechnical
0 practiced
Technical-domain: Explain best practices for encrypting data at rest and in transit in cloud data platforms. Cover customer-managed keys vs provider-managed keys, envelope encryption, and key rotation implications for long-term archived data.
HardSystem Design
0 practiced
Design a multi-region data ingestion architecture that can accept 10s of TB/day, provide low-latency access to regional analytics teams, and tolerate a regional outage with minimal data loss. Include replication strategy, consistency model, and component choices.
EasyTechnical
0 practiced
Define the core components of cloud networking for data platforms: VPC/Virtual Network, subnet, route table, security group/firewall, NAT, and Internet Gateway. Explain their role when provisioning a data-processing cluster that must access both public storage and private database endpoints.
MediumTechnical
0 practiced
Technical: Propose a strategy to safely introduce schema evolution for Parquet datasets used by production queries. Include versioning, compatibility checks, evolution policies (additive vs breaking changes), and migration approaches to avoid query failures.
EasyTechnical
0 practiced
Define Availability Zone and Region in cloud providers. For designing a highly available ETL system, how do you use zones and regions differently? Include considerations for failover, latency, and data replication.

Unlock Full Question Bank

Get access to hundreds of Cloud Platform Fundamentals interview questions and detailed answers.

Sign in to Continue

Join thousands of developers preparing for their dream job.