Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) : HADOOP-PR000007

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

1. Which TWO of the following statements are true regarding Hive? Choose 2 answers

A) Is a relational database
B) Allows you to define a structure for your unstructured Big Data
C) Offers real-time queries and row level updates
D) Useful for data analysts familiar with SQL who need to do ad-hoc queries

2. What types of algorithms are difficult to express in MapReduce v1 (MRv1)?

A) Algorithms that require global, sharing states.
B) Relational operations on large amounts of structured and semi-structured data.
C) Text analysis algorithms on large collections of unstructured text (e.g, Web crawls).
D) Large-scale graph algorithms that require one-step link traversal.
E) Algorithms that require applying the same mathematical function to large numbers of individual binary
records.

3. On a cluster running MapReduce v1 (MRv1), a TaskTracker heartbeats into the JobTracker on your
cluster, and alerts the JobTracker it has an open map task slot.
What determines how the JobTracker assigns each map task to a TaskTracker?

A) The amount of RAM installed on the TaskTracker node.
B) The number and speed of CPU cores on the TaskTracker node.
C) The location of the InsputSplit to be processed in relation to the location of the node.
D) The amount of free disk space on the TaskTracker node.
E) The average system load on the TaskTracker node over the past fifteen (15) minutes.

4. In Hadoop 2.0, which TWO of the following processes work together to provide automatic failover of the
NameNode? Choose 2 answers

A) JournalNode
B) ZooKeeper
C) QuorumManager
D) ZKFailoverController

5. Can you use MapReduce to perform a relational join on two large tables sharing a key? Assume that the
two tables are formatted as comma-separated files in HDFS.

A) No, MapReduce cannot perform relational operations.
B) Yes.
C) Yes, so long as both tables fit into memory.
D) Yes, but only if one of the tables fits into memory
E) No, but it can be done with either Pig or Hive.

Solutions: