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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. Which one of the following statements is true regarding a MapReduce job?

A) The Mapper must sort its output of (key.value) pairs in descending order based on value
B) The job's Partitioner shuffles and sorts all (key.value) pairs and sends the output to all reducers
C) The default Hash Partitioner sends key value pairs with the same key to the same Reducer
D) The reduce method is invoked once for each unique value

2. You need to create a job that does frequency analysis on input data. You will do this by writing a Mapper that uses TextInputFormat and splits each value (a line of text from an input file) into individual characters. For each one of these characters, you will emit the character as a key and an InputWritable as the value. As this will produce proportionally more intermediate data than input data, which two resources should you expect to be bottlenecks?

A) Processor and network I/O
B) Disk I/O and network I/O
C) Processor and disk I/O
D) Processor and RAM

3. 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) Processes all client requests and block reports from the appropriate DataNodes.
C) Communicates directly with the active NameNode to maintain the state of the active NameNode.
D) Receives the same block reports as the active NameNode.

4. Which one of the following is NOT a valid Oozie action?

A) hive
B) pig
C) mapreduce
D) mrunit

5. 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) Import all users' clicks from your OLTP databases into Hadoop, using Sqoop.
C) Channel these clickstreams inot Hadoop using Hadoop Streaming.
D) Ingest the server web logs into HDFS using Flume.
E) Sample the weblogs from the web servers, copying them into Hadoop using curl.

Solutions: