Computer Science > EXAM > Spark Interview Questions | 50 Questions with 100% Correct Answers | Updated & Verified (All)
1. What is Apache Spark? - ✔✔Apache Spark is an open-source cluster computing framework for real-time processing. It has a thriving open-source community and is the most active Apache project at... the moment. Spark provides an interface for programming entire clusters with implicit data parallelism and fault-tolerance. 2. Compare Hadoop and Spark - ✔✔Speed: 100 times faster than Hadoop Real-time & Batch processing vs Hadoop Batch processing only Easy to learn because of high level modules vs Hadoop Tough to learn Allows recovery of partitions vs Hadoop Fault-tolerant Has interactive modes vs Hadoop no interactive mode except Pig & Hive 3. Explain the key features of Apache Spark. - ✔✔Polyglot (high-level APIs in Java, Scala, Python, R) Speed (manages data using partitions that help parallelize distributed data processing with minimal network traffic) Multiple Format Support (Parquet, JSON, Hive and Cassandra.) Lazy Evaluation (key to speed) Real Time Computation (less latency because of its in-memory computation) Hadoop Integration Machine Learning [Show More]
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