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CRT020
: Databricks Certified Associate Developer for
Apache Spark 2.4 and Python-3 - Assessment
Certification Exam Preparation
HadoopExam is
delighted to announce that, as previously we are also having
material for preparing for this new version of the Exam. As per
new syllabus we have 260+ multiple choice questions as well as
30-Assessment exercise. And soon more assessment exercise would be
added.In this Exam your knowledge would be tested for the Spark
2.4 using Python-3. Since last 6 years in the BigData world, one
of the fastest growing technology is Spark for sure. Every BigData
solution provider has to adopt Spark technology on their platform
whether its Cloudera, Hortonworks, MapR, IBM etc. All these
companies knows the power of Spark and the way Spark had changed
the BigData, Analytics and Data Science industry. At the same time
Spark itself had changed a lot to make itself gold standard
BigData technology and one big driver behind that is Databricks.
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CRT020 : Associate Developer for Spark 2.4 and Python-3 - Assessment Certification Prepration |
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Another good annual package, which is subscribed by user who are interested in more technology learning including Spark, Hadoop, Cassandra, Sacala and much more with below annual subscription, which include any two certification preparation material.
Syllabus
Spark Architecture Components : Candidates are expected to be familiar with the following architectural components and their relationship to each other:
Spark Execution : Candidates are expected to be familiar with Spark’s execution model and the breakdown between the different elements:
Spark Concepts : Candidates are expected to be familiar with the following concepts:
DataFrames
API : Candidates are expected to have a command of the
following APIs.
SparkContext : Candidates are expected to know how
to use the SparkContext to control basic configuration settings such
as spark.sql.shuffle.partitions.
SparkSession : Candidates are expected to know how
to:
DataFrameReader : Candidates are expected to know how to:
DataFrameWriter : Candidates are expected to know how to:
DataFrame
(Dataset) :
Row
& Column : Candidates are expected to know how to work with
row and columns to successfully extract data from a DataFrame
Spark SQL Functions : When instructed what to do, candidates are
expected to be able to employ the multitude of Spark SQL
functions. Examples include, but are not limited to:
We have training subscriber from TCS, IBM, INFOSYS, ACCENTURE, APPLE, HEWITT, Oracle , NetApp , Capgemini etc.
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