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Explanation
Apache Spark uses lazy evaluation to optimize execution plans before running any computation across the cluster.
Understanding question
Why does Spark defer execution until an action is called?
To optimize the DAG before running it
Verdict: Yes
Your answer captures the core idea. Spark builds an optimized execution plan by analyzing the full DAG before triggering computation.
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Explanation
Apache Spark uses lazy evaluation to optimize execution plans. Transformations are recorded but not executed until an action (like collect() or count()) triggers computation.
Understanding question
Why does Spark defer execution until an action is called?
To optimize the DAG before running it
Verdict: Yes
Your answer captures the core idea. Spark builds an optimized execution plan by analyzing the full DAG before triggering any computation across the cluster.
Section Quiz — Question 1 of 3
Which of the following triggers Spark execution?
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Curated Content Across the Modern Data Stack
Apache Spark
Distributed data processing engine for large-scale analytics.
ExploreApache Kafka
Streaming platform for building real-time data pipelines.
ExploreSnowflake
Cloud data warehouse for scalable analytics workloads.
Exploredbt
Tool for transforming data inside your warehouse using SQL.
ExploreApache Airflow
Workflow orchestration platform to schedule data pipelines.
ExploreDelta Lake
Open-source storage layer bringing ACID transactions to data lakes.
ExploreWho Is This For
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