PCollection (Apache Beam): Immutable distributed dataset of type T. Created from Read or transform output. Operations: ParDo, GroupByKey, Combine. No fixed size; parallel processing. Like Spark RDD/DataFrame....
This hard-level General/Other question appears frequently in data engineering interviews at companies like Tech Mahindra. 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.
PCollection (Apache Beam): Immutable distributed dataset of type T. Created from Read or transform output. Operations: ParDo, GroupByKey, Combine. No fixed size; parallel processing. Like Spark RDD/DataFrame. WHY: Portable batch/streaming; same API for both.
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Analyze My Answer β FreeAccording to DataEngPrep.tech, this is one of the most frequently asked General/Other 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.