Build vs. Buy vs. Cloud vs. On Premise Trade Offs Questions
Understanding key trade-offs in technology decision-making: (1) Build vs. Buy - custom development flexibility vs. packaged software speed/cost, (2) Cloud vs. On-Premise - operational burden, control, scalability, security, cost, (3) SaaS vs. Licensed - flexibility, upgrade frequency, customization options. Understanding implications for cost, time-to-value, flexibility, control, and ongoing support.
MediumTechnical
46 practiced
Define SLIs, SLOs, and alerting thresholds you would create for a mission-critical daily data pipeline that populates a BI warehouse. Include data freshness, success rate, end-to-end latency, schema drift detection, and data quality checks. Explain why you chose each threshold and the incident response for threshold breaches in cloud vs on-prem deployments.
HardTechnical
38 practiced
Design an end-to-end audit logging and chain-of-custody system for a regulated financial firm where data pipelines span on-prem and cloud. Specify where logs are stored, tamper-evidence measures, retention policy, access controls, and how to present provenance to auditors. Include solutions for ensuring log integrity and reconstructing data lineage during an investigation.
HardTechnical
43 practiced
You're convinced a SaaS data pipeline product is the right choice but leadership wants to build in-house. Draft an executive-level one-page pitch that includes estimated 2-year TCO comparison, expected time-to-value reduction, engineering time saved (FTEs), risk reduction (operational and compliance), and a phased rollout plan with rollback options.
EasyTechnical
39 practiced
Describe the components you would include in a Total Cost of Ownership (TCO) model when comparing cloud vs on-premise data infrastructure. Include one-time costs, recurring costs, staffing, hardware refresh, software licenses, network, power/cooling, depreciation, and opportunity costs. Explain why each element matters.
HardTechnical
39 practiced
As a staff data engineer, you must decide whether to build a new ingestion framework or adopt an open-source project with active community but missing specific features. Create a decision framework that evaluates maintainability, talent availability, licensing, roadmap alignment, contribution strategy, and long-term TCO. Include mitigation plans for the chosen path.
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