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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:

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

1. You want to understand more about how users browse your public website, such as which pages they visit prior to placing an order. You have a farm of 200 web servers hosting your website. How will you gather this data for your analysis?

A) Write a MapReduce job, with the web servers for mappers, and the Hadoop cluster nodes for reduces.
B) Channel these clickstreams inot Hadoop using Hadoop Streaming.
C) Sample the weblogs from the web servers, copying them into Hadoop using curl.
D) Import all users' clicks from your OLTP databases into Hadoop, using Sqoop.
E) Ingest the server web logs into HDFS using Flume.

2. You want to count the number of occurrences for each unique word in the supplied input data. You've decided to implement this by having your mapper tokenize each word and emit a literal value 1, and then have your reducer increment a counter for each literal 1 it
receives. After successful implementing this, it occurs to you that you could optimize this by specifying a combiner. Will you be able to reuse your existing Reduces as your combiner in this case and why or why not?

A) No, because the sum operation in the reducer is incompatible with the operation of a Combiner.
B) Yes, because the sum operation is both associative and commutative and the input and output types to the reduce method match.
C) No, because the Reducer and Combiner are separate interfaces.
D) No, because the Combiner is incompatible with a mapper which doesn't use the same data type for both the key and value.
E) Yes, because Java is a polymorphic object-oriented language and thus reducer code can be reused as a combiner.

3. Which one of the following statements describes a Hive user-defined aggregate function?

A) Operates on a single input row and produces a single row as output
B) Operates on multiple input rows and creates a single row as output
C) Operates on a single input row and produces a table as output
D) Operates on multiple input rows and produces a table as output

4. Which one of the following statements is FALSE regarding the communication between DataNodes and a federation of NameNodes in Hadoop 2.0?

A) DataNodes send periodic block reports to all the NameNodes.
B) Each DataNode registers with all the NameNodes.
C) Each DataNode receives commands from one designated master NameNode.
D) DataNodes send periodic heartbeats to all the NameNodes.

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

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

Solutions: