S06-S10 Big Data Analytics

Which of the following statements about Apache Hive is correct?

• Hive is used mainly for real-time transactional processing.

• Hive uses Hive Query Language (HQL), which is converted into MapReduce jobs.

• Hive cannot handle structured data.

• Hive requires users to write complex Java code.

Apache HBase is a row-oriented database that requires a predefined schema before data insertion.

• True

• False

Which of the following best describes the CAP Theorem in distributed systems (e.g., Cassandra)?

• A system can provide all three: Consistency, Availability, and Partition Tolerance.

• A system can only guarantee two out of Consistency, Availability, and Partition Tolerance at the same time.

• Cassandra ignores CAP theorem because it is decentralized.

• CAP theorem only applies to relational databases.

Which Hadoop ecosystem tool is primarily used to transfer structured data between RDBMS and HDFS?

• Flume

• Pig

• Sqoop

• Oozie

Apache Flume is designed to ingest large amounts of streaming data, such as social media feeds and sensor data, into HDFS.

• True

• False

Which of the following is a correct feature of Apache Pig?

• Requires complex Java MapReduce programs.

• Can only process structured data.

• Pig Latin reduces coding effort compared to MapReduce.

• Pig does not support joins or sorting operations.

Which Hadoop tool is used for workflow scheduling and job coordination?

• Mahout

• Oozie

• Cassandra

• Hive

Which of the following best describes the difference between Machine Learning with Big Data and without Big Data?

• With Big Data, models are always simpler.

• Without Big Data, analysis requires distributed frameworks.

• With Big Data, analysis can leverage complex models and large-scale infrastructure.

• Without Big Data, insights are always more accurate.

Spark MLlib provides both supervised and unsupervised learning algorithms.

• True

• False

Which of the following statements about Resilient Distributed Datasets (RDDs) is correct?

• RDDs are mutable and can be updated directly.

• RDDs are immutable and can be recomputed if a partition is lost.

• RDDs cannot be cached in memory.

• RDDs only support sequential operations, not parallel ones.