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Implementation Planning and Execution Questions

Comprehensive end to end planning and execution of implementations and projects, with an emphasis on phased rollouts, roadmaps, and disciplined project controls. Candidates should be able to translate strategy into a detailed implementation roadmap broken into phases with realistic timelines, milestones, sequencing, and critical path identification, and justify choices between phased rollout and big bang approaches. Coverage includes workstream decomposition, dependency mapping, effort and resource estimation, resource allocation, and responsibility assignment using a responsibility assignment matrix. Candidates should address stakeholder alignment, governance, communication cadences, training and enablement, change management, and escalation procedures. Deployment planning topics include cutover planning, rollback and contingency strategies, parallel run and data migration approaches, pilot testing and validation plans with monitoring and rollback criteria, and operational readiness checks. Include risk identification and mitigation, handling reprioritization and change control, deciding when to involve external professional services, and tools and techniques for monitoring progress and quality such as timeline and Gantt style plans, visual workflow boards, regular status reviews, and key performance indicators. Explain how success is measured using concrete metrics such as on time delivery, budget adherence, adoption and user satisfaction, system stability, and business continuity, and how to conduct lessons learned and sustainment after go live. At senior levels, demonstrate how to manage complexity across multiple workstreams and cross functional dependencies, make pragmatic trade offs under constraints, and ensure sequencing and resource decisions preserve operational continuity.

EasyTechnical
0 practiced
Explain the trade-offs between a phased rollout and a big-bang approach for migrating a 10 TB data warehouse serving ~200 dashboard users and nightly ETL jobs. For each approach, list benefits, risks, sequencing implications, rollback complexity, and recommended monitoring during the transition. State which approach you'd pick and why, given constrained engineering resources.
EasyTechnical
0 practiced
Define 'parallel run' in the context of data system migration. Describe a simple operational plan to run legacy and new ETL pipelines in parallel for two weeks: how you'll replay inputs, compare outputs, automate reconciliation, escalate discrepancies, and decide when to retire the legacy pipeline.
MediumTechnical
0 practiced
Write SQL pseudocode to reconcile records between source `customers_src` and target `customers_tgt` when the source uses soft deletes (`deleted_at`) and CDC is enabled. Show an approach for matching keys, determining latest state per key using change-ts, handling soft deletes, and producing a mismatches report partitioned by date.
EasyTechnical
0 practiced
You are planning rollout of a new nightly ETL pipeline used by analytics and reporting teams. Create a RACI (Responsible, Accountable, Consulted, Informed) matrix for the implementation that includes these roles: data-engineer, data-platform-infra, data-analyst, product-manager, security, svc-ops. Explain why you assigned each role and identify R/A/C/I for three key milestones: design, production-cutover, post-go-live-support. Include assumptions about decision authority.
MediumTechnical
0 practiced
You discover during migration that the source system's schema changed mid-migration, causing a subset of records to fail. Draft an immediate remediation plan: detection, triage, whether to pause migration, compatibility-layer options, potential rollback steps, and a backfill strategy to reconcile missing or malformed data.

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