Use the linked documentation to check technical details. Your practical exercise: Design a decision-ready dashboard with consistent metric grain, explain filter behavior, reduce query cost, and make uncertainty visible.
The plan
Work through it in order
- 01
Map the official surface
Build a one-page map around data model, relationships, and grain, calculations, LOD expressions, and filter order, dashboard usability, performance, and analytical narrative. For each area, record the contract, the mechanism underneath it, and one production consequence.
- 02
Prepare answer ladders
Practice a 20-second definition, a two-minute explanation with an example, and a deeper trade-off discussion. This keeps answers useful when the interviewer changes depth.
- 03
Solve a realistic scenario
Design a decision-ready dashboard with consistent metric grain, explain filter behavior, reduce query cost, and make uncertainty visible.
- 04
Run a closed-book mock
Answer aloud without notes, draw or code the critical path, test a boundary, and check every factual claim against the primary source after the attempt.
Avoidable failure modes
Common mistakes
- Memorizing data model, relationships, and grain terminology without explaining behavior
- Ignoring the failure modes and trade-offs around calculations, LOD expressions, and filter order
- Reading summaries repeatedly instead of retrieving and applying the material
Before you move on
Readiness checklist
- data model, relationships, and grain explained from first principles
- calculations, LOD expressions, and filter order connected to a production decision
- dashboard usability, performance, and analytical narrative tested with a concrete boundary
- One timed mock reviewed against official documentation
Quick answers
Frequently asked questions
Which topics should I cover?
Start with data model, relationships, and grain, calculations, LOD expressions, and filter order, dashboard usability, performance, and analytical narrative. Confirm the exact role and interview format with the recruiter, then deepen the areas emphasized in the job description.
How should I use this preparation plan?
Design a decision-ready dashboard with consistent metric grain, explain filter behavior, reduce query cost, and make uncertainty visible. Explain decisions aloud, test an edge case, then check the result against the linked documentation. Repeat the exercise with one changed constraint after feedback.
Source notes
References and review policy
Source links provide further reading. Where a recorded technical review is available, the answer shows its date and scope. Tool selections use direct provider links and contain no affiliate placements. Sources, features, and hiring formats can change.
From reading to recall
Practice the full interview loop.
RecallDeck schedules the concepts you miss and keeps coding, design, and behavioral fundamentals available when the interviewer changes direction.