Practise vocabulary and communication patterns for answering data modelling questions in technical interviews.
0 / 5 completed
1 / 5
When asked to design a database schema in an interview, the first step is to ___.
Always start with requirements clarification and entity identification before writing SQL. Define what objects need to be stored, their attributes, and how they relate — then design the schema from those requirements.
2 / 5
'I would start with a normalised schema and denormalise later based on observed query patterns' demonstrates ___.
This statement shows a mature approach: start with a clean, normalised design to ensure consistency, then optimise based on measured performance bottlenecks. Premature denormalisation adds complexity without guaranteed benefit.
3 / 5
When discussing a many-to-many relationship in an interview, the correct technical term for the intermediate table is a ___ table.
The standard technical vocabulary for M:N resolution tables includes: junction table, bridge table, or associative table. Using these terms demonstrates familiarity with relational database design patterns.
4 / 5
'It depends on the read/write ratio and the query patterns' is an appropriate answer when asked about ___.
'It depends' — with justification — is a senior engineer's answer for almost all schema design trade-offs. Normalisation, indexing, and schema patterns all depend on workload characteristics, access patterns, and consistency requirements.
5 / 5
When an interviewer asks 'How would you handle high write volume on this schema?', the relevant vocabulary to demonstrate includes ___.
High write volume solutions involve: table partitioning (routing writes to smaller sub-tables), horizontal sharding, minimising index count, bulk insert strategies, and potentially denormalising hot paths. These terms show production experience.