**Java 8 (March 2014):** Lambda expressions + Stream API. Syntax: (params) -> expr or (params) -> { stmts }. Implement functional interfaces (single abstract method). **Use Cases:** Callbacks, Comparator, forEach, Stream map/filter/reduce. Enables concise, readable code....
This hard-level Python/Coding question appears frequently in data engineering interviews at companies like JP Morgan. While less common, it tests deeper understanding that distinguishes strong candidates. Mastering the underlying concepts (spark) will help you answer variations of this question confidently.
This is a senior-level question that tests architectural thinking. Lead with the high-level design, then drill into specifics. Discuss trade-offs explicitly - there is rarely one correct answer. Show awareness of scale, fault tolerance, and operational complexity.
Java 8 (March 2014): Lambda expressions + Stream API. Syntax: (params) -> expr or (params) -> { stmts }. Implement functional interfaces (single abstract method).
Use Cases: Callbacks, Comparator, forEach, Stream map/filter/reduce. Enables concise, readable code. Spark's Java API uses lambdas in map, filter, reduce.
Compatibility: Spark requires Java 8+. For JP Morgan legacy systems: ensure Java 8+ for Spark/streaming stacks.
list.forEach(x -> print(x));
Comparator<String> c = (a,b) -> a.length() - b.length();
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Analyze My Answer — FreeAccording to DataEngPrep.tech, this is one of the most frequently asked Python/Coding interview questions, reported at 1 company. DataEngPrep.tech maintains a curated database of 1,863+ real data engineering interview questions across 7 categories, verified by industry professionals.