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Updated weekly · Last refresh Nov 6
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AI Competence Center Data Engineer Interview Questions

The questions to prepare for a AI Competence Center Data Engineer interview. Questions from real interview reports rank first. Updated daily.

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1
PipelinesStart here. 3 questions · ~31 min
Data Quality in Batch PipelinesHard

Design batch pipeline checks and recovery so bad data is caught early and failed runs can resume safely.

Data QualityBatch ProcessingairflowAAI Competence Center
Streaming IoT Data Pipeline DesignHard

Design a resilient, low-latency streaming pipeline for high-velocity IoT telemetry with schema validation, monitoring, and fault recovery.

data pipelinekafkadata latencyAAI Competence Center
Data Quality and Schema EvolutionMedium

Approach for handling schema changes and data quality checks in a high-volume data lake pipeline.

schema evolutionData ModelingQualityAAI Competence Center
2
More topics2 questions · ~21 min
Real-Time User Interaction SchemaMedium
Practice

Design a real-time Uber interaction schema and summarize each user's interaction activity, including users with no recorded events.

schema designdata managementdatabase designAAI Competence Center
Balancing Technical Debt and DeliveryMedium

Tests prioritization and ownership when balancing technical debt against an urgent feature release.

Trade-offsadaptabilityaccountabilityAAI Competence Center

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Hands-on SQL practiceWrite and run real queries in the editor. 2 drills · ~20 min
Navigational Result for QueryMedium
Practice
Recently asked
Practice drill

Correct a search query to detect canonical domains in the top three organic results.

Data QualityJoinsdata verificationTelus Digital Ai Data SolutionsAAI Competence CenterTELUS Digital AI Community
Running Average With Window FunctionsEasy
Practice
Recently asked
Practice drill

Calculate each Hinge user's 30-day rolling average of daily interactions using CTEs and window functions.

Window FunctionsData AnalysissqlHingeCCatalyst Operations & AnalyticsEEsri
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