Analyzing Big Data in R using Apache Spark Cognitive Class Exam Answer (💯Correct)

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Analyzing Big Data in R using Apache Spark Cognitive Class Exam Answer(💯Correct)

Hello Pupil, Today I am going to share Free Certification Course from Cognitive Class and their quiz/exam answers. Analyzing Big Data in R using Apache Spark Course is totally free of cost🆓✅🆓for you and available on Cognitive Class platform.

Here, you will find Analyzing Big Data in R using Apache Spark Exam Answers in Bold Color which are given below.

These answers are updated recently and are 100% correct✅ answers of all modules and final exam answers of Analyzing Big Data in R using Apache Spark from Cognitive Class Free Certification Course.

Course NameAnalyzing Big Data in R using Apache Spark
OrganizationIBM
SkillOnline Education
LevelBeginner
LanguageEnglish
PriceFree
CertificateYes

Link for Course Enrollment: Enroll Now

Use “Ctrl+F” To Find Any Questions Answer. & For Mobile User, You Just Need To Click On Three dots In Your Browser & You Will Get A “Find” Option There. Use These Option to Get Any Random Questions Answer.

Module 1: Introduction to SparkR

Question 1: What shells are available for running SparkR??

  • Spark-shell
  • SparkSQL shell
  • SparkR shell
  • RSpark shell
  • None of the options is correct

Question 2: What is the entry point into SparkR?

  • SRContext
  • SparkContext
  • RContext
  • SQLContext

Question 3: When would you need to call sparkR.init?

  • using the R shell
  • using the SR-shell
  • using the SparkR shell
  • using the Spark-shell

Module 2: Data manipulation in SparkR

Question 1: dataframes make use of Spark RDDs

  • False
  • True

Question 2: You need read.df to create dataframes from data sources?

  • True
  • False

Question 3: What does the groupBy function output??

  • A AggregateOrder object
  • A GroupedData object
  • A OrderBy object
  • A GroupBy object

Module3: Machine learning in Spark R

Question 1: What is the goal of MLlib?

  • Integration of machine learning into SparkSQL
  • To make practical machine learning scalable and easy
  • Visualization of Machine Learning in SparkR
  • Provide a development workbench for machine learning
  • All of the options are correct

Question 2: What would you use to create plots? check all that apply

  • pandas
  • Multiplot
  • Ggplot2
  • matplotlib
  • all of the above are correct

Question 3: Spark MLlib is a module of Apache Spark

  • False
  • True

Analyzing Big Data in R using Apache Spark Final Exam Answers Cognitive Class

Question 1: Which of these are NOT characteristics of Spark R?

  • it supports distributed machine learning
  • it provides a distributed data frame implementation
  • is a cluster computing framework
  • a light-weight front end to use Apache Spark from R
  • None of the options is correct

Question 2: True or false? The client connection to the Spark execution environment is created by the shell for users using Spark:

  • True
  • False

Question 3: Which of the following are not features of Spark SQL?

  • performs extra optimizations
  • works with RDDs
  • is a distributed SQL engine
  • is a Spark module for structured data processing
  • None of the options is correct

Question 4: True or false? Select returns a SparkR dataframe:

  • False
  • True

Question 5: SparkR defines the following aggregation functions:

  • sumDistinct
  • Sum
  • count
  • min
  • All of the options are correct

Question 6: We can use SparkR sql function using the sqlContext as follows:

  • head(sql(sqlContext, “SELECT * FROM cars WHERE cyl > 6”))
  • SparkR:head(sql(sqlContext, “SELECT * FROM cars WHERE cyl > 6”))
  • SparkR::head(sql(sqlContext, “SELECT * FROM cars WHERE cyl > 6”))
  • SparkR(head(sql(sqlContext, “SELECT * FROM cars WHERE cyl > 6”)))
  • None of the options is correct

Question 7: Which of the following are pipeline components?

  • Transformers
  • Estimators
  • Pipeline
  • Parameter
  • All of the options are correct

Question 8: Which of the following is NOT one of the steps in implementing a GLM in SparkR:

  • Evaluate the model
  • Train the model
  • Implement model
  • Prepare and load data
  • All of the options are correct

Question 9: True or false? Spark MLlib is a module SparkR to provide distributed machine learning algorithms.

  • True
  • False

Conclusion

Hopefully, this article will be useful for you to find all the Answers of Analyzing Big Data in R using Apache Spark of Cognitive Class and grab some premium knowledge with less effort. If this article really helped you in any way then make sure to share it with your friends on social media and let them also know about this amazing training. You can also check out our other course Answers. So, be with us guys we will share a lot more free courses and their exam/quiz solutions also and follow our Techno-RJ Blog for more updates.

FAQs

Can I get a Printable Certificate?

Yes, you will receive a Analyzing Big Data in R using Apache Spark Certificate of Learning after successful completion of course. You can download a printed certificate or share completion certificates with others and add them to your LinkedIn profile.

Why should you choose online courses?

You should go to an online certification course to get credentials that can help you in your work. It also helps you to share your skills with the employer. These certificates are an investment in building your business. And the important thing you can access these courses anytime and multiple times.

Is this course is free?

Yes Analyzing Big Data in R using Apache Spark Course is totally free for you. The only thing is needed i.e. your dedication towards learning this course.

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