Real questions from top companies in Spark/Big Data · hard
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.
Provide example code for Drop Duplicates in PySpark.
Provide strategies for handling data deduplication and cleaning in Spark jobs.
Push and Pull in Tasks
PySpark Code for Broadcast Join and Conditional Aggregation by Location
PySpark Coding Challenge - dataset with 4-5 columns, solve data processing problem on paper
PySpark Coding Challenge: Transform input dataset with columns id, dob, name to add age, firstname, lastname
Read CSV, filter, and write to table using PySpark
Running Tasks in Parallel
Salting Implementation - provide example
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