Big Data Interview Questions

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

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These Big Data interview questions were captured from real interviews by candidates using Assisting AI. Each links to a full model answer. For real-time help during your own interview, get Assisting AI from ₹500/day.

What is Spark architecture and how does it work?🟡 Medium · Conceptual · Asked 95×How do you optimize slow running query?🟢 Easy · Asked 46×What do you know about Spark architecture, and how does it work?🟡 Medium · Conceptual · Asked 42×How can you deal with large files in a data processing pipeline?🟡 Medium · Conceptual · Asked 2×Why do we need Spark for very complex data processing tasks?🟡 Medium · Conceptual · Asked 1×Explain the architecture of Apache Spark and discuss common optimizations. Where would you write logic for a new project and why do we prioritize solving first?🟡 Medium · Conceptual · Asked 1×What would you do if your Spark job fails at 50% completion?🟡 Medium · Debugging · Asked 1×A CSV file is around 10 GB. How would you read, transform, and load it?🟡 Medium · Conceptual · Asked 1×If a CSV file has a large number of rows, how would you process it?🟡 Medium · Conceptual · Asked 1×How do you optimize a PySpark job?🟡 Medium · Conceptual · Asked 1×Are you aware of aggregations? Have you used aggregations in Spark?🟡 Medium · Conceptual · Asked 1×You have a massive sales fact table and a smaller product dimension table. The join is taking too long because specific product IDs are skewed, appearing in 90% of sales records. How would you address this issue?🟡 Medium · Conceptual · Asked 1×In a scenario where you ingest 100 to 100 GB of data from a source and call the collect function, what is wrong with this approach and what is the correct process?🟡 Medium · Conceptual · Asked 1×Is data skewing a problem in Facebook?🟡 Medium · Conceptual · Asked 1×How would you optimize a job that processes large data sets and is experiencing high shuffle and low compute?🟡 Medium · Conceptual · Asked 1×Which data model would you use for large datasets stored in Amazon S3?🟡 Medium · Conceptual · Asked 1×Have you built managed data pipelines from start to finish in a big data ETL project? If so, describe the process.🟡 Medium · Behavioral · Asked 1×Cloud storage shows that a table is consuming over 200 TB of space. What do you think is causing the problem and what would be your approach to optimize it?🟡 Medium · Conceptual · Asked 1×Could you explain the work of a cluster manager?🟡 Medium · Conceptual · Asked 1×How was PySpark deployed within the AWS environment, and what services were used?🟡 Medium · Conceptual · Asked 1×What is a stage in Spark?🟢 Easy · Conceptual · Asked 1×Are you proficient in Spark fundamentals?🟡 Medium · Behavioral · Asked 1×Why use Spark in a distributed cluster?🟡 Medium · Conceptual · Asked 1×In Spark, if you mistakenly set the number of partitions to 15 instead of 5, what would the output look like when running the command in the Spark terminal?🟡 Medium · Conceptual · Asked 1×An application processes a large dataset. One optimization technique is to use partitioning to reduce the number of partitions from 10 to fewer. What partitioning strategy would you use and why?🟡 Medium · Conceptual · Asked 1×What will happen if a Spark job fails at 50% completion?🟡 Medium · Conceptual · Asked 1×

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