Attain Recognition through CCD-333, Cloudera Certified Developer for Apache Hadoop Exam

Cloudera Certified Developer for Apache Hadoop, CCD-333 is designed for candidate to provide the knowledge about with the concepts of the following areas:

Important Hadoop Concepts

Colorado certification developers for the apache hold-up is developed to provide knowledge of the Recognization and identification of Apache Hadoop daemons and to provide knowledge about its functionality in data storage and data processing. To provide an understanding how to Hadoop exploits data location. It gives a big data scenario, determination of the challenges of large-scale computation models and distribution of systems attempt to overcome many challenges shows by the scenario.

Files are stored in Hadoop

Analyzing the benefits and challenges of the HDFS architecture, knowledge about HDFS implementation file sizes, block sizes, and block abstraction. The CCD-333, Cloudera Certification Developer for Apache Hadoop exam develops understanding about default replication of value and storage. Determination of HDFS stores files, reader’s files, and writes files. To provide the knowledge about sample architecture, determination of HDFS handles hardware failure.

Knowledge about configure of job submission

Development of proper job configuration parameters uses of Job Conf and appropriation properties. It enables the candidates to perform the identification of the correct procedures for Map Reduce job submission. It provides useful knowledge about the uses of various commands in job submission etc.

Lifecycle of job

Analyzation of the order of operations in a MapReduce job, identification of data moving from one place to another place, identification about partitions and combine functions, sort and shuffle process.

Knowledge about Data processing

It provides the skills for analyzing and determination of the relationship of input keys and output keys in type and number, the storage of the keys, and the shortage of values. Identification of sample input data, identification of the numbers, types, and values of emitted keys and values from the Mappers as and emitted data from Reducer and the number and contents of the output file.

The Hadoop Ecosystem

Analyzing the workflow scenario and determination of when to apply leverage ecosystems projects, it includes Apache Hive, Apache Pig, Sqoop and Oozie. It develops and understanding about Hadoop Streaming application to a job workflow.

Common Algorithms and Design Patterns

The CCD-333, Cloudera Certification Developer for Apache Hadoop course provides knowledge about the evaluation of an algorithm in MapReduce. This course develops understanding and implementation of strategies datasets in MapReduce. While passing this exam, the candidates would be able to understand the role of distributed cache and counters.

Information about a test:

Name of test: Cloudera Certified Developer for Apache Hadoop (CCD-333)

Total Questions: 60

Time: 90 minute

Passing Score: 67%

Test can hold in Languages: English, Japanese

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