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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
You need an archival and retrieval strategy for raw telemetry data stored in object storage to balance cost and queryability. Design lifecycle tiers, partitioning, file formats, and an approach to allow occasional fast restores for ad-hoc analysis.
EasyTechnical
0 practiced
What is a Content Delivery Network (CDN) and when would a data engineering team use a CDN as part of a data product? Provide an example where CDN improves performance and one where it is not appropriate.
HardTechnical
0 practiced
Describe how you would lead a cross-functional migration from VM-based ETL jobs to a serverless architecture (e.g., managed serverless functions and managed dataflow). Include stakeholder engagement, rollout plan, risk mitigation, indicators of success, and training for the team.
EasyTechnical
0 practiced
Explain identity and access management basics in cloud (principals, roles, policies, service accounts). For a data engineering team, how would you structure permissions to give ETL jobs least privilege access to object storage, message queues, and a managed data warehouse?
HardTechnical
0 practiced
Scenario: A downstream analytics job requires consistent reads of data produced by multiple upstream producers in near-real-time. How would you design ordering, watermarking, and late-arrival handling in your streaming pipeline to ensure accurate windows and joins?

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