MapReduce Online Assessment Test

Topics covered

File System Counter, Hadoop Supplied Interfaces, MapReduce Version 2 Process, MapReduce Job methods

  • MAQ (Multiple Answer Question)
  • MCQ (Multiple Choice Question)
  • Descriptive Question
  • White Board Simulator
  • Coding Simulator
  • Audio Question
  • Video Question
  • Case Study Question

MapReduce Online Test helps Recruiters and Hiring Managers to assess the skills of candidate before an interview. MapReduce is a programming model and is useful in processing large and huge data sets in parallel with large clusters of a commodity in a reliable and tolerant manner. Map Reduce concept is simple to understand for those who are familiar with cluster data processing solutions. This MapReduce Skill Test is specially designed to check application, practical skills of a MapReduce developer – as per Industry Standards.

MapReduce Assessment Test contains questions on following Topics:

  • File System Counter

  • Hadoop Supplied Interfaces

  • MapReduce Version 2 Process

  • MapReduce Job methods 

Map Reduce interview test is designed by our subject matter experts to analyze the job skills of applicants and their knowledge of MapReduce. Using powerful reporting, you can have a detailed analysis of the test results to help you make a better hiring decision and predict the candidate’s performance.

The test contains MCQ's (Multiple Choice Questions), MAQ's (Multiple Answer Questions), Fill in the Blank, Descriptive, True or False.

This pre-employment test is useful for hiring:
  • Hadoop Developer - MapReduce

  • Big Data Developer - MapReduce

Test details:

MapReduce pre-hiring test enables employers and recruiters to identify Big Data - MapReduce developers by evaluating working skills and job readiness. For this reason, the emphasis is laid upon evaluating the knowledge of applied skills gained through real work experience, rather than theoretical knowledge.

Test Details: 20 minutes 

15 Application Questions

05 Theory Questions 

The combination on Application and Theory questions helps to evaluate Technical as well as practical Skills of Candidates

MapReduce Test

Question #1 of 3

How many maps can run parallelism per node?

    • 1-10

    • 10-100

    • 100-150

    • 150-200

Question #2 of 3

We have an object Student who is giving a test in Java and it has four attributes (String studentId, String studentName, String subject, int point ) to define the point of each subject that student get for three years.

If we use the partitioner as below:
public int getPartition(Customer key, int numPartitions) {
        int hash = key.getStudentId().hashCode() + key.getSubject().hashCode();
        int partition = hash % numPartitions;
        return partition;

What can be a key group to the reducer if 4 students have a point of 8 subjects and 6 students have a point with 6 subjects?

    • 48

    • 44

    • 68

    • 24

Question #3 of 3

Which stage will group input by key?

    • sort

    • shuffle

    • reduce

    • None of the mentioned

Candidate Name: David Messi Test Date: 28-May-2014
Test Name: MapReduce Test Test Start Time: 13.30

Score: 18 Out Of 20

Percentage: 90

Result: PASS

passing score image
Section Name FAIL PASS
Map Reduce
Score: 18/20
Strength Map Reduce
Weakness -
* Note: If score <= 40 then its a Weakness. If score >= 80 then its a Strength.
10 20 30 40 50 60 70 80 90 100%
Tolerable Limit Not acceptable
Window Violation: 0 | Time Violation: 0 secs
Gender : Male Phone Number : +1-541-754-3010
Total Experience (Years) : 3 Total Experience (Months) : 5
Skill Set : Map Reduce Current Employer : Interview Mocha
Current Job Title : Solution Architect Current Salary : 600.00
Expected Salary : 1000000.00 Current Location : Chicago

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