Real questions from top companies · hard
How would you handle unstructured data in Hive?
How would you identify and resolve a shuffle spill in Spark UI?
How would you manage the streaming data schema and handle schema evolution in Delta Lake?
How would you manage transitions to Glacier Instant Retrieval and Deep Archive?
How would you migrate metadata from Hive Metastore to Glue?
If a consumer fails to process a message due to data corruption, describe how you would configure Kafka to handle retries and avoid message loss.
In Spark, what is the difference between cores and executors?
Share your experience in working with big data technologies such as Hadoop, Spark, or AWS EMR. How have you leveraged these tools in your previous projects?
Spark Architecture - Components include Driver, Executors, Cluster Manager, and Tasks
Spark Tungsten & Catalyst Optimizer
Steps to link a Databricks notebook to an ADF pipeline
Trade-offs between batch processing (Spark) vs. real-time streams (Kafka)
Usage of UDFs?
Walk through how you would debug the data ingestion process to identify slow stages.
Walkthrough Spark's architecture, focusing on driver, executors, and DAGs
What are Spark optimizations, and can you explain them?
What is Predicate Pushdown and AQE with Example
What role would Kafka or similar event-driven platforms play in your architecture?
Write a PySpark script to check for missing values and duplicate rows in a DataFrame. How would you ensure data quality before saving it to a storage system?
Write a Spark job to count word occurrences from an S3 dataset.
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