This document contains questions for a Big Data and Hadoop exam. It includes questions about structured, unstructured, and semi-structured data; using big data analytics to detect fraud; business models for big data; impedance mismatch; version stamps; sharding vs replication; the CAP theorem; materialized views; HDFS block size and replication; factors in HDFS design; ensuring data integrity in HDFS; serialization; MapReduce workflows; the WordCount problem using MapReduce; running MapReduce jobs with YARN; the HBase data model; Pig data types; HiveQL; Cassandra; and Avro.