Pyspark Complete Test Series

Multiple Choice Questions about PySpark are included in the quiz below. It is designed to assist you in learning all of the complexities of Apache Spark while also ensuring that you are well prepared for the final certification exam Take this fun PySpark online test series to see how much you know about the topic.

3.3
233 Enrolled

Created by Emilie Simmard

What you'll learn

This test series will give you the confidence that you will pass the certification exam
This PySpark quiz questions will help you review the material and gain confidence in Spark

Curriculum

1

Pyspark Complete Test Series 1

Updated : 31st May 2021 | Duration : 30mins

2

Pyspark Complete Test Series 2

Updated : 31st May 2021 | Duration : 30mins
Pre-requisites
- You will not require anything to take this PySpark online test series
- Basic understanding of Big Data concepts
- Understanding of Java, Python or Scala
Target Audience
- Anyone interested in pursuing a career in Big Data
- Professionals like developers, analysts, software programmers, consultants, data engineers
Test FAQ
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  You need only Internet Connection and browser.
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  Any time
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  Downloading option is not available.
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  The applicant has the freedom to select the exam date, time according to his or her choice. Practicality candidates will feel confident about giving the main exam later.
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  It supports almost all type of questions. Few to mention- - MCQ single correct - MCQ multiple correct (Ref. IIT JEE) - MCQ single correct like comprehensions or data interpretation (Ref. IIT JEE Questions paper and CAT) - True and False Integer Type (Ref. IIT JEE Questions paper) - Matrix match or the match the column type (Ref. IIT JEE Questions paper) - Linked questions - Assertion and Reasons type (Ref. UPSC CS - Prelims)
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About Author

She began her career as a data scientist in 2012 while earning her master's degree in Quantitative Analytics and has been a federal consultant since 2016 for clients like the IRS, Veterans Affairs, etc. Her skills are most predominantly in predictive modeling, artificial intelligence, natural language processing, topic model, trend analysis, frequent pattern mining, machine-learning, deep-learning, cluster analysis. Her primary programming language is Python but she also has extensive experience with non-object-oriented languages like SAS and SQL. Most notably, however, she is a passionate teacher who loves to share her knowledge with the world!

Emilie Simmard [ Data Scientist ]

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233 students

60 mins

Medium