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NO.1 You write MapReduce job to process 100 files in HDFS. Your MapReduce algorithm uses
TextInputFormat: the mapper applies a regular expression over input values and emits key-values
pairs with the key consisting of the matching text, and the value containing the filename and byte
offset. Determine the difference between setting the number of reduces to one and settings the
number of reducers to zero.
A. With zero reducers, no reducer runs and the job throws an exception. With one reducer, instances
of matching patterns are stored in a single file on HDFS.
B. With zero reducers, all instances of matching patterns are gathered together in one file on HDFS.
With one reducer, instances of matching patterns are stored in multiple files on HDFS.
C. With zero reducers, instances of matching patterns are stored in multiple files on HDFS. With one
reducer, all instances of matching patterns are gathered together in one file on HDFS.
D. There is no difference in output between the two settings.
Answer: C

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Explanation:
* It is legal to set the number of reduce-tasks to zero if no reduction is desired.
In this case the outputs of the map-tasks go directly to the FileSystem, into the output path set by
setOutputPath(Path). The framework does not sort the map-outputs before writing them out to the
FileSystem.
* Often, you may want to process input data using a map function only. To do this, simply set
mapreduce.job.reduces to zero. The MapReduce framework will not create any reducer tasks.
Rather, the outputs of the mapper tasks will be the final output of the job.
Note:
Reduce
In this phase the reduce(WritableComparable, Iterator, OutputCollector, Reporter) method
is called for each <key, (list of values)> pair in the grouped inputs.
The output of the reduce task is typically written to the FileSystem via
OutputCollector.collect(WritableComparable, Writable).
Applications can use the Reporter to report progress, set application-level status messages
and update Counters, or just indicate that they are alive.
The output of the Reducer is not sorted.

NO.2 Which one of the following statements describes the relationship between the NodeManager
and the ApplicationMaster?
A. The NodeManager requests resources from the ApplicationMaster
B. The NodeManager creates an instance of the ApplicationMaster
C. The ApplicationMaster starts the NodeManager outside of a Container
D. The ApplicationMaster starts the NodeManager in a Container
Answer: B

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THE HDPCD EXAM
Our certifications are exclusively hands-on, performance-based exams that require you to complete a set of tasks. By performing tasks on an actual Hadoop cluster instead of just guessing at multiple-choice questions, Hortonworks Certified Professionals have proven competency and Big Data expertise. The HDP Certified Developer (HDPCD) exam has three main categories of tasks that involve:

The exam is based on the Hortonworks Data Platform 2.4 installed and managed with Ambari 2.2, which includes Pig 0.15.0, Hive 1.2.1, Sqoop 1.4.6, and Flume 1.5.2. Each candidate will be given access to an HDP 2.4 cluster along with a list of tasks to be performed on that cluster.

To be fully prepared for the HDP Certified Developer exam, candidates should be able to complete all of the exam objectives.

TAKE THE EXAM ANYTIME, ANYWHERE
The HDP Certified Developer (HDPCD) exam is available from any computer, anywhere, at any time. All you need is a webcam and a good Internet connection. The cost of the exam is $250 USD per attempt.

HOW TO REGISTER
Follow these steps to register for the HDPCD exam:

icon6.png Create an account at www.examslocal.com.icon6.png Once you are registered and logged in, select “Schedule an Exam”, and then enter “Hortonworks” in the “Search Here” field.icon6.png Locate and select the “Hortonworks : HDP Certified Developer (HDPCD) – English” exam.icon6.png Choose the date and time that you want to attempt the exam, and that is it!
REGISTER
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EXAM OBJECTIVES
Candidates should be able to perform all objectives.
VIEW OBJECTIVES
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EXAM DATASHEET
You can download the following details of the HDPCD Exam in a PDF
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FAQ
FAQ page contains useful information about our exams and how to register for them.
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PRACTICE EXAM
Hortonworks University recommends that candidates attempt the practice exam to familiarize themselves with the exam environment and also with the types of tasks that appear on the certification exam.

icon6.png The practice exam is available in the cloud on Amazon Web Services (AWS)icon6.png You will need an AWS account to follow the instructionsicon6.png We do not charge for the practice exam, but you do have to pay for an AWS instance, which is typically less than $1 an hour
HDPCD PRACTICE EXAM
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EARN DIGITAL BADGES
Each Hortonworks certification comes with a digital badge: a special image that validates and verifies your certification. We use a third-party digital badge authentication service called BadgeCert, and you get a unique badgecert.com URL that displays all of your earned badges.