Real questions from top companies · hard
In Spark, what is the difference between cores and executors?
Justify the choice of your current tech stack. Why Spark, Hadoop, or cloud platforms?
Lambda, Kinesis, DynamoDB - data streaming and persistence
Limiting Parallel Tasks
List all the technologies you have worked on in your project (e.g., Spark, Hadoop, Hive, Databricks).
Load CSV from HDFS
Load data into Hive table from HDFS or local
Logical Plan workflow when submitting Spark queries?
Memory Management in Spark - executor, storage, shuffle memory
Memory Tuning in Spark
Methods to avoid duplicates in PySpark/Scala?
Monitoring and Orchestrating Spark Jobs
Onboarding Delta Lake Catalog to Presto
Partition and Save as Parquet in PySpark
Perform EDA on a dataset and summarize your findings in a business context
Performance Tuning Techniques for Spark
Persistence Storage Levels: When to use MEMORY_ONLY, MEMORY_AND_DISK, etc.
Process a large log file (in GBs) to identify the top 10 users by event frequency. Optimize for memory efficiency and handle streaming input.
Production Experience - deploying and monitoring Spark jobs
Provide Pivot in PySpark example code and explain its purpose.
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