Quiz
2707 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 areas2707
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 Architecture96
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 Architecture98
Streaming & Real-Time Data93
Data Governance & Semantics91
Frontend & Experience Architecture91
Edge, Mobile & IoT88
Regulatory & Data Protection Architecture90
Assurance, Audit & Model Risk98
50 questions in Data Governance & Semantics.
-
Data Governance & Semantics advanced
An interviewer says - our data governance programme is eighteen months old. We have a catalogue, a glossary, twelve part-time stewards and a monthly council. The CFO asked last week whether it is working and I could not answer. What would you measure, and what would you tell leadership if the numbers are bad?
3 min answer governancemeasurementstewardshipenforcement -
Data Governance & Semantics advanced
You inherit an enterprise data estate with no governance at all and a two-year mandate. What do you do first?
1 min answer governancesequencingprioritisationpragmatism -
Data Mesh advanced
A CDO proposes moving to a data mesh because the central data team is a bottleneck with a nine-month backlog. How do you assess the proposal?
2 min answer data-meshgovernanceoperating-modelplatform -
Data Mesh advanced
A large enterprise wants to move from a central data team to a decentralised model. What determines whether that succeeds, and what does it not fix?
1 min answer data-meshdecentralisationplatformownership -
Data Mesh advanced
An interviewer says "we are going federated across about 40 domains. Which governance policies do we put in the platform as code and which stay as written guidance? Talk me through how you decide, and what the code version costs us."
3 min answer data meshfederated governancepolicy as codeexceptions -
Data Mesh advanced
An organisation is considering data mesh. What problem does it actually solve, what does it require, and when is a central platform team the better answer?
2 min answer data-meshownershipdomainsplatform -
Data Mesh advanced
What must exist before decentralising data ownership makes things better rather than worse?
2 min answer data-meshplatformownershipincentives -
Data Observability advanced
A data platform has thousands of datasets and cannot write manual quality tests for all of them. What should the observability approach be?
1 min answer data-observabilityanomaly-detectionalertinglineage -
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 -
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 -
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 -
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