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Hortonworks HADOOP-PR000007 Exam Syllabus Topics:

Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) Sample Questions:

1. Which one of the following statements is false about HCatalog?

A) Provides a shared schema mechanism
B) Stores HDFS data in a database for performing SQL-like ad-hoc queries
C) Designed to be used by other programs such as Pig, Hive and MapReduce
D) Exists as a subproject of Hive

2. A NameNode in Hadoop 2.0 manages ______________.

A) Two namespaces: an active namespace and a backup namespace
B) No namespaces
C) An arbitrary number of namespaces
D) A single namespace

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

4. You have just executed a MapReduce job. Where is intermediate data written to after being emitted from
the Mapper's map method?

A) Into in-memory buffers that spill over to the local file system (outside HDFS) of the TaskTracker node
running the Reducer
B) Intermediate data in streamed across the network from Mapper to the Reduce and is never written to
disk.
C) Into in-memory buffers on the TaskTracker node running the Reducer that spill over and are written into
HDFS.
D) Into in-memory buffers that spill over to the local file system of the TaskTracker node running the
Mapper.
E) Into in-memory buffers on the TaskTracker node running the Mapper that spill over and are written into
HDFS.

5. Which Two of the following statements are true about hdfs? Choose 2 answers

A) Block sizes for all files must be the same size
B) HDFS works best when storing a large number of relatively small files
C) An HDFS file that is larger than dfs.block.size is split into blocks
D) Blocks are replicated to multiple datanodes

Solutions: