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Databricks Certified Associate Developer for Spark
2.4 and Python-3 Assessment |
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Benefits/Features
Simulator Benefits | Exam Syllabus |
|
Below
are
some
sample topics,
which are
being asked.
This list is
not enough
there is much
more in
HadoopExam
simulator.
|
Note : This product is tested only on Windows Operating System
* Please read faq section carefully.
Question-1:
What
is the Major
change is done
in Databricks
Spark
certification
in latest
certifications? Answer: Databricks has changed a lot in their new release of Apache Spark certification. Below two are the major changes in the exam
|
Question-2:
Is
Databricks
test is on
Databricks
Enterprise
platform or on
the Apache
Spark? Answer: Databricks asks question based on the Apache Spark and not any other commercial platform. |
Question-3:
Should
I consider or
preferred
Scala based
Spark
certification
only, because
Spark is
written using
Scala and
heard that
Spark Scala is
faster that
PySpark?
Answer: You should select certification based on your programming language skill. If you are from Java/Scala background then go for Scala based Spark certification. And if you know Python programming language than go for Python Spark certification. With regards to performance: that was the case on older version of Spark where Scala Spark was better performant that PySpark. But in Spark 2.x this is not the case (Because of their Optimizer), whatever programming language you use either Java/Scala/Python/R all are same on performance. Only exception to this is User Defined Function. |
Question-4:
What
is the name of
current
version of
Spark
certification? Answer: Databricks Certificated Developer. Apache Spark V2.x |
Question-5:
What
is the
duration of
the exam and
number of
questions? Answer: Total duration is 180 Mins (3 Hrs) for the exam and no. of questions varies from 40-80. Based on their difficulty level. |
Question-6:
What
all are the
topics asked
in the
Databricks
Spark
certification
exam? Answer: You will be asked question on following topics
|
Question-7:
I
don’t see RDD
mentioned in
the syllabus,
so they are
not part of
the
certification? Answer: Syllabus mentioned for the Databricks Spark certification is very abstract. And it is not given in detail what they will be asking in the exam. And we expect quite a good amount of questions based on the RDD and programming question will be asked for various RDD API. Reason RDD is still in focus, is because whether your use Spark1.x or Spark 2.x their underline processing engine works on RDD only. Hence, concepts of RDD must be cleared. And you wanted to apply some custom optimization, wanted to do performance tuning etc. then you should know how RDD works. Even if you are using distributed shared variables like Broadcast variable and Accumulators then you will be using RDD. You can convert your DataFrame to RDD, as well as RDD to DataFrame with simple API. Hence, you must have a good experience with the Spark RDD programming as well. And it is expected you know while working with the Spark. |
Question-8:
In
the syllabus
they have
mentioned only
Streaming, so
questions
would be asked
from Dstream
or Structured
Streaming? Answer: You should give more focus on the Structured Streaming, because Dstream had some issue, that’s the reason they have created Structured Streaming platform. However, you should be knowing how Dstream works, because concepts are same for processing real time streaming data. However, we don’t expect too many questions based on Dstream. They would give more focus on the Structured Streaming. |
Question-9:
What
programming
languages
questions are
expected in
real exam? Answer: As we have mentioned earlier they can ask questions based on whatever programming language you have chosen for certification. So before purchasing the certification make sure what programming language you are using
|
Question-10:
Is
there any book
is available
for preparing
Spark
certification
in either
Python or
Scala? Answer: As of now there is not a single book available which focus on these Spark certifications. We highly recommend that you use below study material for the preparing respective certifications. These material is regularly updated and new things are added. Spark Scala
Python Spark (PySpark) |
Question-11:
What
about Spark
Machine
Learning
Questions? Answer: Yes, there will be few questions on Machine Learning. You should have some knowledge about Machine Learning to answer question on that. |
Question-12:
I
have some
feedback and
information
about the
Databricks
Spark
certification
which needs to
be updated
here, for the
benefits of
the other
learners? Answer: We always believe in helping in each other for the growth. Hence, we request you to please send whatever feedback you have on this email id hadoopexam@gmail.com or admin@hadoopexam.com we will update the same on this page. |
Question-13:
There
are two
library for
processing
graph data,
GraphX and
GraphFrame.
Which one they
are asking in
the exam? Answer: As you can see that they are focusing on the Spark 2.x version which has much better solution for Graph data processing using GraphFrame . Hence, focus would be on the GraphFrame. |
Question-14:
Should
I know Machine
Learning in
depth to clear
Spark
certification
exam? Answer: This exam is not focused for the Data scientists. Hence, it is not expected that you will be asked in depth questions for Mache Learning. So we have enough coverage in HadoopExam certification simulator for the Machine Learning questions. So you should have some concepts clear for the Machine Learning. |
Question-15:
Why
Spark
technology in
so much news? Answer: From the Apache it is one of the most actively worked framework. In recent years BigData, Real time Data processing, Artificial Intelligence and many other things pushed high. And all this need a processing engine which can process such things efficiently. Even Hadoop Mapreduce which become suddenly popular, is replaced by Spark computation engine. There are almost more than 1000 contributors on the open source platform. After Spark 2.0, it is very easy to learn. Its API is very intuitive as well if you are good at SQL queries then it make it much easier for you to learn. If you are a programmer than DataFrame/Dataset API would help you a lot for working with the Spark. There are many organizations have pushed Spark applications in the production. Which proves the quality and reliability of the Spark framework. Companies already having Hadoop cluster do not have to create separate Spark cluster. They can use their existing framework for the running Spark jobs on the same cluster. Whether it is written using Java/Scala/Python or R language. Always having new technologies knowledge will give you the opportunity to draw more salary. And less chance of job loss. You can switch your career and Spark is one of them for sure. |
Question-16:
I
have good
knowledge of
Spark, and
almost 3+
years’
experience
working with
Spark, why
should I go
for
certification? Answer: There is a myth in IT industry that certification does not help in career. This is not at all true. Having certification certainly helps in following ways
|
Questions-17:
Who
else conduct
the Spark
certification? Answer: There are various other vendors who conduct certification on Spark as below
|
Question-18:
Do
you give
priority to
specific
vendor? Answer: No we don’t give priority to any vendor. It varies based on many factors.
|
Question-19:
Can
I use Learning
Spark book, to
prepare for
the Databricks
Spark
certification? Answer: It was a good book till Spark 1.x was exists. This book you should not use anymore, because it is outdated and not good fit for current Spark 2.x based certification. |
Question-20:
I
don’t know
both Scala and
Python then
which
programming
language you
would
recommend? Answer: It is very tricky question to answer. We recommend learn both the programming language. These are beautiful language to work upon. But based on the following career path you can choose respective programming language. Scala:
Python:
It should not be considered based on the fact that Spark is written in Scala, so I should give preference to Spark Scala. Not at all true after Spark 2.x version. |
Question-21:
What
is the current
passing score? Answer: Currently Databricks does not tell you the exact passing score. But you can expect 70%+ correct answer should be there to clear the exam. Each question carries different scoring based on the difficulty level. |
Question-22:
What
is the fee for
the Databricks
certification
and how many
attempts we
can have? Answer: Fee is little high which is $300, but it gives two opportunity to clear the exam as of now. For latest information always check Databricks website. |
Question-23:
Any
other or
particular
sections you
want me to
focus? Answer: These are the common area and you must keep in mind
|
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Books on Spark or PDF to read : Machine Learning with Spark, Fast Data Processing with Spark (Second edition), Mastering Apache Spark, Learning Hadoop 2, Learning Real-time Processing with Spark Streaming, Apache Spark in Action, Apache Spark CookBook, Learning Spark, Advanced Analytics with Spark Download.