Hadoop (a big data tool) works with number of related tools. Choose from the…

Answer: Map reduce, H Base and Hive

Why this is correct:

• MapReduce: the core distributed batch-processing programming model used in Hadoop for processing large datasets across a cluster.

• HBase: a distributed NoSQL database that runs on top of Hadoop's storage and provides random, real-time read/write access to big data.

• Hive: a data warehousing layer that offers SQL-like querying (HiveQL) for data stored in Hadoop, making analytics accessible to SQL users.

Why the other choices are incorrect:

• "MySQL, Google API and Map reduce": Map reduce is part of Hadoop, but MySQL is a traditional relational database (not part of Hadoop's ecosystem) and Google API is unrelated.

• "Map reduce, Scala and Hummer": Scala is a programming language (commonly used with Spark) and Hummer is not a recognized Hadoop tool, so this set is not a correct Hadoop toolset.

• "Map reduce, Hummer and Heron": Map reduce is correct, but Heron is a separate stream-processing engine (by Twitter) not part of the core Hadoop ecosystem, and Hummer is not a Hadoop component.

Key takeaway: Hadoop's ecosystem includes components for storage, processing, and querying such as HDFS, YARN, MapReduce, HBase, Hive, Pig, Sqoop and Flume.