A daily executive dashboard reads a fact table fed by three sources at three different natural caden
A medium Pipeline Design mock interview question on DataDriven. Practice with AI-powered feedback, real code execution, and a hire/no-hire decision.
- Domain
- Pipeline Design
- Difficulty
- medium
Interview Prompt
A daily executive dashboard reads a fact table fed by three sources at three different natural cadences: mobile events from Kafka (continuous), Stripe payments (15-minute REST), and Salesforce CRM (daily). The current canvas forces all three through one mega-DAG running daily, making the Kafka events 16 hours stale. Apply the multi-cadence framing this section just taught and split into three upstream cadence-specific DAGs plus one downstream daily DAG. Add at least 2 distinct orchestration nodes (one for the streaming/micro-batch upstream cadences, one for the daily downstream join) and ensure three distinct freshness tiers are visible across the sources via slaFreshness labels (real-time/< 1min for Kafka, < 15min for Stripe, < 24h for Salesforce). The downstream daily DAG joins the three upstream raw assets at 5am via the lakehouse asset boundary.
How This Interview Works
- Read the vague prompt (just like a real interview)
- Ask clarifying questions to the AI interviewer
- Write your pipeline design solution with real code execution
- Get instant feedback and a hire/no-hire decision