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Data Processing Interview Questions

12 real Data Processing questions asked in live technical interviews — each with a model answer. Updated weekly.

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When you execute this notebook, how many stages will be created in the backend?🟡 Medium · Conceptual · Asked 3×You load data into Snowflake or de‑bucket from S3. What kind of processing do you do using PySpark?🟡 Medium · Conceptual · Asked 1×If data is stored in S3 and processed to another place, how do downstream systems consume it?🟡 Medium · Conceptual · Asked 1×Can you explain how joins work in Spark?🟡 Medium · Conceptual · Asked 1×Have you built any data pipeline for processing PDF documents?🟡 Medium · Conceptual · Asked 1×In 2017, RIPP presented millions of metadata records, and the application was consuming a lot of data. How did you identify and resolve data quality issues in that scenario?🟡 Medium · Conceptual · Asked 1×Suppose your service needs to process millions of meta‑video reports, but the application consumes excessive memory and eventually crashes. What type of messaging channel would you use to handle this data flow?🟡 Medium · Conceptual · Asked 1×What is shuffling in Spark?🟢 Easy · Conceptual · Asked 1×When would you use AWS Glue versus Amazon EMR?🟡 Medium · Conceptual · Asked 1×Is there a service feature that can automatically scale up? If not, how would you design the initial low cluster? How would you handle daily data or entire data? You must have some basic calculation before doing experiments. For example, if you want to process this much data, what calculations would you do before starting?🟡 Medium · Conceptual · Asked 1×How would you use a Spark window function with row_number() partitioned by customer and ordered by timestamp descending to get the latest order per customer?🟡 Medium · Coding · Asked 1×What is repartitioning in Spark, and when would you use it?🟡 Medium · Conceptual · Asked 1×

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