Ccd-470 Cloudera Certified Developer For Apache Hadoop Cdh4 Upgrade

By Author: Carlos Darrell
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The format of the question paper is such that the students are given forty five questions that are to be conducted in ninety minutes. The students can conduct the paper in two languages that is English and Japanese. The registration fee for CCD-470, Cloudera Certified Developer for Apache Hadoop CDH4 Upgrade exam is ninety nine US dollars. As far as the passing score for this exam is concerned, the students have to earn a score of sixty seven percent to pass the exam. Marks below that will be considered as a failure.
The vendor recommends that the students should have prerequisite certification and education before conducting the exam which includes the Cloudera Certified Developer Test the alternative for which is Cloudera Certified Developer for Apache Hadoop CDH3 and the basic requirement of getting the CCDH certification is the exam of CCD-470, Cloudera Certified Developer for Apache Hadoop CDH4 Upgrade.
The main topics of examination on which the candidates are majorly validated are given here for the benefits of the prospective students so that it may become easier for them to gain knowledge regarding the ...
... exam objectives. These topics vary in percentages on which the question paper of CCD-470, Cloudera Certified Developer for Apache Hadoop CDH4 Upgrade is based.
The first topic is Core Hadoop Concepts. It covers thirty three percent of the question paper of CCD-470, Cloudera Certified Developer for Apache Hadoop CDH4 Upgrade exam. Its objectives are
• Recognize and identify Apache Hadoop daemons and how they function both in data storage and processing under both CDH3 and CDH4.
• Understand how Apache Hadoop exploits data locality.
The second topic is called Storing Files in Hadoop. It covers seven percent of the question paper. Its objectives are
• Determine how HDFS stores, reads, and writes files.
• Given sample architecture, determine how HDFS handles hardware failure.

The third main topic is called Job Configuration and Submission. It consists of eight percent of the question paper. Its objectives are

• Identify the correct procedures for MapReduce job submission.
• How to use various commands in job submission
Job Execution Environment covers seven percent of the question paper. Its objectives are

• Given a MapReduce job, determine the lifecycle of a Mapper and the lifecycle of a Reducer.
Input and Output covers six percent of the question paper. Its objectives are
• Understand the role of the RecordReader, and of sequence files and compression.
Job Lifecycle covers thirteen percent of the question paper. Its objectives includes
• Analyze the order of operations in a MapReduce job, how data moves from place to place.
• How partitioners and combiners function and the sort and shuffle process.

Data processing covers six percent. It includes
• Analyze and determine the relationship of input keys to output keys in terms of both type and number, the sorting of keys, and the sorting of values.
Key and Value Types also covers six percent. It consists of
• Given a scenario, analyze and determine which of Hadoop’s data types for keys and values are appropriate for the job.
• Understand common key and value types in the MapReduce framework and the interfaces they implement.

Common Algorithms and Design Patterns covers seven percent. The objectives it includes are
• Evaluate whether an algorithm is well-suited for expression in MapReduce.
• Analyze the role of DistributedCache and Counters.
The Hadoop Ecosystem also covers seven percent. It is the last main topic of the CCD-470, Cloudera Certified Developer for Apache Hadoop CDH4 Upgrade exam.

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