Real questions from top companies in Spark/Big Data
Databricks - platform, use cases
Databricks Cluster Management - standalone vs YARN mode
Databricks Job Cluster and SQL Endpoint - discuss Photon
Databricks notebooks vs. Fabric notebooks - differences
Databricks vs. PySpark?
Define Airflow and explain it as a workflow orchestration tool.
Define what a User-Defined Function (UDF) is and how to register it in PySpark.
Defining Tasks in DAG
Delta Lake: ACID compliance, time travel, streaming support
Delta vs Parquet - explain
Deploying DAGs
Describe a custom EMR cluster configuration for Spark-based ETL with minimal cost.
Describe building custom JARs for Spark jobs
Describe how to pass data between tasks in Airflow using XComs.
Describe how you would monitor ETL job performance and handle long-running tasks.
Describe how you would optimize a join between two large tables where one is significantly smaller, using broadcast joins in PySpark.
Describe how you would optimize slow-running Spark jobs in a distributed environment.
Describe how you would use PySpark to aggregate and summarize large transaction datasets.
Describe the cluster configuration used in your project, including memory allocation, number of nodes, and executor/driver settings.
Describe the projects emphasizing Spark, Hadoop, or Azure for large-scale data processing
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