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Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Sample Questions:

1. You want to perform analysis on a large collection of images. You want to store this data in HDFS and process it with MapReduce but you also want to give your data analysts and data scientists the ability to process the data directly from HDFS with an interpreted high-level programming language like Python. Which format should you use to store this data in HDFS?

A) CSV
B) JSON
C) Avro
D) XML
E) HTML
F) SequenceFiles

2. A client application creates an HDFS file named foo.txt with a replication factor of 3. Identify which best describes the file access rules in HDFS if the file has a single block that is stored on data nodes A, B and C?

A) Each data node stores a copy of the file in the local file system with the same name as the HDFS file.
B) The file can be accessed if at least one of the data nodes storing the file is available.
C) The file will be marked as corrupted if data node B fails during the creation of the file.
D) Each data node locks the local file to prohibit concurrent readers and writers of the file.

3. Table metadata in Hive is:

A) Stored in the Metastore.
B) Stored in ZooKeeper.
C) Stored along with the data in HDFS.
D) Stored as metadata on the NameNode.

4. Which one of the following statements is true about a Hive-managed table?

A) Hive dynamically defines the schema of the table based on the FROM clause of a SELECT query.
B) When the table is dropped, the underlying folder in HDFS is deleted.
C) Hive dynamically defines the schema of the table based on the format of the underlying data.
D) Records can only be added to the table using the Hive INSERT command.

5. In Hadoop 2.0, which one of the following statements is true about a standby NameNode?
The Standby NameNode:

A) Runs on the same machine and shares the memory of the active NameNode.
B) Receives the same block reports as the active NameNode.
C) Processes all client requests and block reports from the appropriate DataNodes.
D) Communicates directly with the active NameNode to maintain the state of the active NameNode.

Solutions: