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Quiz

2868 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 areas2868 Architecture Fundamentals91 Distributed Systems101 Data Architecture90 Cloud Architecture87 Networking86 API & Integration Architecture87 Reliability & Resilience99 Observability92 Performance & Capacity Engineering90 Security Architecture95 Cost Architecture & FinOps92 Business Architecture93 Architecture Communication102 Enterprise Architecture100 Legacy Modernization92 AI-Era Architecture96 Software Architecture & Engineering93 Architecture Patterns94 Architecture Decision-Making101 The Architect's Meta-Skills102 Delivery & Release Engineering103 Platform Engineering & Developer Experience92 Testing & Quality Architecture102 Data Platform Architecture98 Streaming & Real-Time Data103 Data Governance & Semantics91 Frontend & Experience Architecture101 Edge, Mobile & IoT98 Regulatory & Data Protection Architecture99 Assurance, Audit & Model Risk98
Difficulty Any beginner intermediate advanced

91 questions in Data Governance & Semantics.

  1. 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
  2. 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
  3. Data Products intermediate

    A ride-hailing and delivery platform operating across eight South-East Asian markets, of the kind Grab operates, has one internal trips_enriched table that 40 teams already read directly. Leadership wants it published as a data product with an owner, a freshness SLO and per-market residency rules. You cannot break the 40 readers and there is no cutover weekend available. Give the sequence.

    3 min answer grabdata-productsresidencyconsumer-migration
  4. 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
  5. Data Products advanced

    Design a data product exposing merchant sales analytics to hundreds of thousands of independent merchants on a commerce platform. What makes it a product rather than a table?

    1 min answer data-productsownershipcontractsmulti-tenancy
  6. Data Quality Dimensions advanced

    A marketplace's seller metrics look wrong but every pipeline succeeded and every test passed. How do you diagnose it?

    1 min answer data-qualitydiagnosiscompletenesssemantics
  7. 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
  8. Data Quality Dimensions beginner Multiple choice

    A supplier table has 12% of rows with a blank tax identifier and 3% where the identifier is present but does not match the registry. Both are called data quality issues in the same report. Why does separating them change who is asked to fix them?

    2 min answer data qualitycompletenessaccuracyownership
  9. 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
  10. 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
  11. Data Sharing & Clean Rooms advanced Multiple choice

    A retailer wants to measure whether a brand's advertising drove in-store purchases. The brand has exposure data with hashed identifiers and the retailer has transactions. Neither may see the other's raw records. Which arrangement should they use?

    2 min answer clean roomprivacyaggregation thresholddifferential privacy
  12. Data Sharing & Clean Rooms advanced

    A retailer with 40 million loyalty members and a brand with 12 million exposed device identifiers want to measure in-store purchase lift inside a clean room. Hashed-email match comes back at about 23%. The four-week category purchase rate is around 2%. Roughly what relative lift can this measurement detect, and what does the number rule out?

    3 min answer clean-roomsmatch-ratestatistical-powermeasurement