Real questions from top companies · hard
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
Schema evolution - techniques for handling schema changes in PySpark
Setting Dependencies for Tasks in DAG
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?
Solve 7-8 data processing questions using PySpark on F1 Racing Data
Solve the dataset transformation using PySpark.
Solve the grade assignment problem using a UDF in PySpark.
Spark Architecture - Components include Driver, Executors, Cluster Manager, and Tasks
Spark Configurations for Large-Scale Jobs
Spark Execution Flow - describe
Spark Executor Management: 10 workers, 100GB RAM, 25 cores - number of executors, size, OOM in Driver
Spark Optimization - broadcast joins, caching, coalescing, predicate pushdown, AQE
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