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Real questions from top companies in Spark/Big Data · hard
How would you optimize Glue jobs to reduce processing time for large datasets?
How would you optimize Spark jobs for better performance?
How would you optimize a Spark job that takes too long to run in production?
How would you optimize a slow-running notebook in Databricks?
How would you optimize your Spark Streaming ETL pipeline for high throughput and low latency?
How would you read a large file (e.g., 15GB) efficiently in Spark by increasing parallelism?
How would you read data from an RDBMS using Spark? Provide the syntax.
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.
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