Portfolio ↗

Quiz

2667 questions of the kind that actually get asked — in interviews, in architecture review boards, and by the person who has to run the thing at 3 AM. Every answer states the trade-off rather than the slogan, and says when the obvious choice is the wrong one.

All areas2667 Architecture Fundamentals81 Distributed Systems101 Data Architecture90 Cloud Architecture87 Networking86 API & Integration Architecture78 Reliability & Resilience88 Observability81 Performance & Capacity Engineering90 Security Architecture95 Cost Architecture & FinOps92 Business Architecture93 Architecture Communication91 Enterprise Architecture91 Legacy Modernization92 AI-Era Architecture86 Software Architecture & Engineering84 Architecture Patterns84 Architecture Decision-Making91 The Architect's Meta-Skills92 Delivery & Release Engineering93 Platform Engineering & Developer Experience92 Testing & Quality Architecture90 Data Platform Architecture88 Streaming & Real-Time Data93 Data Governance & Semantics81 Frontend & Experience Architecture91 Edge, Mobile & IoT88 Regulatory & Data Protection Architecture90 Assurance, Audit & Model Risk88
Difficulty Any beginner intermediate advanced

993 questions.

  1. Data Governance intermediate

    A dashboard has been wrong for three weeks. Nobody knows which upstream produced the table it reads. What is the governance failure, and what fixes it?

    2 min answer governancelineageownershipcontracts
  2. Data Governance intermediate

    Two teams compute "active user" differently and both numbers appear in board reporting. Which governance mechanisms address this, and which would not?

    2 min answer governancedefinitionscatalogueownership
  3. Data Lakes & Lakehouses intermediate Multiple choice

    A company is building a new analytics platform. Moderate data volume, heavy BI usage, strong governance requirements, a small data team. Warehouse or lakehouse?

    2 min answer lakehousewarehouseuberoperations
  4. Data Lakes & Lakehouses intermediate Multiple choice

    A data platform runs interactive analyst queries alongside multi-hour batch pipelines on shared compute. Interactive latency becomes unpredictable. What is the architectural fix?

    2 min answer databricksworkload-isolationlakehousecompute
  5. Data Observability intermediate

    A dashboard has shown the same numbers for eleven days. The pipeline reports success every night. What monitoring was missing?

    2 min answer monitoringqualityfreshness
  6. Data Observability intermediate

    A dashboard was wrong for three weeks before anyone noticed. What monitoring would have caught it?

    2 min answer nykaadata-observabilityfreshnessanomaly
  7. Data Observability intermediate

    A quarterly board report shows a category down 40%. Investigation finds an upstream system stopped sending a field three months ago. Nothing alerted. What do you change?

    2 min answer observabilityqualitycontractsincidents
  8. Data Products intermediate

    A marketplace publishes a merchant sales data product with a 15-minute freshness SLO to roughly 200000 merchant consumers. A flash sale of the kind Flipkart runs takes order volume to about 20 times normal for six hours. No pipeline fails and no alert fires. What happens to the data product over those six hours and what stops it?

    3 min answer data productsfreshness slopeak loaddegradation
  9. Data Products intermediate

    A team's dataset is heavily used, so the platform group proposes promoting it to a data product with an owner, a published interface and an SLO. The team is willing. What have they actually taken on, and when does that bill arrive?

    2 min answer data-productsownershipslodeprecation
  10. Data Quality Dimensions intermediate Multiple choice

    A nightly freshness check alerts when a table's daily row count deviates more than 20% from the previous day. Volume follows a weekly pattern: weekends run about 40% below weekdays. Roughly how many alerts a month does this produce before anything is actually wrong, and what should replace it?

    2 min answer data-qualityalertingseasonalitythresholds
  11. Data Quality Dimensions intermediate

    A team wants to measure data quality. Which dimensions matter, and which tests actually catch problems?

    2 min answer dbt-labsdata-qualitytestsfreshness
  12. Data Quality Dimensions intermediate

    You are setting data quality thresholds for a dataset with five consuming teams. How do you decide the numbers?

    1 min answer data-qualitygovernancesla