Samsung Ads Data Engineer Interview Questions
The questions to prepare for a Samsung Ads Data Engineer interview. Questions from real interview reports rank first. Updated daily.
Approach for maintaining data quality and integrity across ETL pipelines.
Samsung AdsAssesses practical experience designing and implementing data pipelines with SQL, Python, and Spark.
Samsung AdsTests algorithmic thinking and correctness for a repeated-number problem.
Samsung AdsTests basic Python understanding of combining numeric values.
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Explains how one interface supports different implementations through dynamic dispatch, and distinguishes overriding from overloading.
Samsung AdsTests knowledge of OOP principles and their use in maintainable ETL design.
Samsung AdsTests ability to write correct SQL for retention metrics at scale in Samsung Ads analytics.
Samsung AdsTests query optimization skills for performance issues common in large-scale Samsung Ads datasets.
Samsung AdsWrite a SQL query to analyze campaign performance by advertiser, including spend, impressions, clicks, CTR, and conversion rate over the last 30 days. Use...
Samsung AdsRank Samsung Ads campaigns by daily reach and return the top two campaigns per day, including ties.
Samsung AdsCalculate monthly active Smart TV users and their month-over-month growth rate for a Samsung Ads region.
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