Technology Implementation and Change Management Questions
Addresses the lifecycle of selecting, implementing, and driving adoption of technology solutions, including needs assessment, vendor selection, data migration, integration planning, testing strategies, cutover planning, training, postlaunch support, and optimization. Also covers balancing innovation with operational stability, handling failed technology choices, and measuring technology adoption and business impact. Emphasis is on pragmatic execution, minimizing downtime and data loss, and ensuring end user adoption.
MediumTechnical
78 practiced
Given a metrics_definitions table(name, version int, definition_sql text, effective_from date) and an events table with raw data, design a SQL view or stored procedure that computes a metric for a specified metric name and version so analytics consumers can request metrics by version. Explain how you would handle version retirement and backfill requirements.
EasyTechnical
70 practiced
Describe your approach to creating documentation and an index for executive-facing dashboards so that non-technical leaders can understand data definitions, update cadence, owners, and known limitations. Include structure of the documentation, distribution channels, maintenance process, and how to ensure it remains up to date.
HardTechnical
70 practiced
Design a metadata and data-lineage solution that allows any dashboard user to trace a metric back to its source tables and transformations. Describe components (catalog, lineage graph, transformation parsing, versioning), how you'd capture lineage for SQL and ETL jobs, how to serve this info in the BI UI, and how to keep it up-to-date with code and schema changes.
MediumSystem Design
64 practiced
Design the architecture and migration approach to move 200 on-prem reports and dashboards from a legacy BI server to Tableau Cloud for an organization of 1,000 users. Consider data sync (nightly ETL), SSO, row-level security, minimizing downtime, data residency constraints, and monitoring. Describe core components, data flow, cutover approach, and rollback plan.
EasyTechnical
74 practiced
Explain the difference between functional and non-functional requirements when selecting a BI tool. Provide 5 examples of each specific to BI platform selection and describe how you would test or validate non-functional requirements like performance and security during evaluation.
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