Real questions from top companies in Spark/Big Data Β· hard
Given a streaming dataset from Kafka, how would you ingest the data in real-time using Spark?
How do you optimize Spark jobs for performance?
How would you implement a sliding window aggregation in Spark Structured Streaming?
Implement a Spark job to find the top 10 most frequent words in a large text file.
What are the key components of the Spark execution model (Job, Stage, Task)?
What is Spark's Catalyst Optimizer? Explain its stages.
What is the difference between Spark RDDs, DataFrames, and Datasets?
What is the small-file problem in Spark, and how do you solve it?
Why is SparkSession used in Spark 2.0 and later versions?
Alternatives to the Medallion Architecture
Apache Spark Architecture - RDD, DAG, cluster manager, driver node, worker node
Calculating Databricks costs - explain DBU
Can Presto work with Near Real-Time Data (Streaming Data Source)?
Conceptualize and design a real-time streaming data pipeline end-to-end.
Design an ETL pipeline using Kafka and Spark Streaming
Difference between Presto vs. Spark underlying architecture
Explain Azure Databricks architecture and its integration with other Azure services.
Explain Delta Live Tables and their features, such as declarative pipeline definition and automatic data validation.
Explain Delta Table features β Z-ordering and Time Travel.
Explain Delta Time Travel and the purpose of the vacuum command.
Type or paste your answer to any of these questions and our AI Coach scores it, highlights gaps, and rewrites it at FAANG quality. Free to try.