IGNOU MCSL 229 SOLVED ASSIGNMENT

MCSL 229 Solved Assignment

MCSL 229: Cloud and Data Science Lab

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Title Name IGNOU MCSL 229 SOLVED ASSIGNMENT
Type Soft Copy (E-Assignment) .pdf
University IGNOU
Degree MASTER DEGREE PROGRAMMES
Course Code MCA-NEW
Course Name Master of Computer Application
Subject Code MCSL 229
Subject Name Cloud and Data Science Lab
Year 2025
Session -
Language English Medium
Assignment Code MCSL 229/Assignment-1/2025
Product Description Assignment of MCA-NEW (Master of Computer Application) 2025. Latest MCSL 229 2025 Solved Assignment Solutions
Last Date of IGNOU Assignment Submission Last Date of Submission of IGNOU BEGC-131 (BAG) 2025-26 Assignment is for January 2026 Session: 30th September, 2026 (for December 2025 Term End Exam).

Semester Wise
January 2025 Session: 30th March, 2026 (for June 2026 Term End Exam).
July 2025 Session: 30th September, 2025 (for December 2025 Term End Exam).
FormatReady-to-Print PDF (.soft copy)

📅 Important Submission Dates

  • January 2025 Session: 31st October, 2025
  • July 2025 Session: 30th April, 2025

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MCSL 229 (January 2025 - July 2025) - ENGLISH

Course Code : MCSL-229

Course Title : Cloud and Data Science Lab

Assignment Number : MCA_NEW(III)/L-229/Assign/2025

Maximum Marks : 100

Weightage : 30%

Last Dates for Submission : 30th April, 2025 (for January session)

31st October, 2025 (for July session

The assignment has two sections. Answer all the questions. Each section is for 20 marks. The lab record of the Cloud Computing Lab and Data Science lab carries 20 Marks each. The remaining 20 marks are for viva voce. You may use illustrations, diagrams and screenshots to enhance the explanation. Please go through the guidelines regarding assignments given in the MCA(New) Programme Guide for the format of the presentation. If any assumptions are made, please state them.

SECTION-I: Cloud Computing Lab

Q1.(a) Use Google Docs to create a document containing the schedule of MCS-229 practical counselling sessions. Store it on Google Drive and share it with five friends who can view and Comment on it.

(b) Use Google Sheets and create a spreadsheet containing the yearly Salary details of 10 employees of a university under the headings employee name, yearly basic salary, DA percentage, Provident fund deductions, Income Tax deduction, and net salary. You may use the following formulas for making the spreadsheet:

DA amount = DA percentage * yearly basic salary Provident fund = 8% of yearly basic salary Income Tax deduction is computed as: For yearly basic salary < 5,00,000 tax=0 For yearly basic salary >= 5,00,000 but <10,00,000 tax = 20% of (yearly basic salary - 5,00,000) For yearly basic salary >= 10,00,000 tax = 1,00,000+ 30% of (yearly basic salary 10,00,000) Net Salary = yearly basic salary + DA amount - Provident fund - tax

(c) Use Google Slides and prepare nine slides on the topic "Platform as a Service (PaaS)" in a group of three students by sharing the Google Slides in your group in edit mode. Every group member should make three slides each and contribute to the slides of other members of her/his group.

Q2:Explore JustCloud file storage solutions and cloud storage on AWS. Use only the trial versions.

Q3:Use Google App Engine to write a program to multiply two matrices. Deploy it on the Google cloud.

SECTION-II: Data Science Lab

Q1:The height of 50 students of class X was measured in centimeters. The following table shows this data. Perform the tasks (i) to (iv) using R programming.

156 155 163 151 141 160 151 131 170 163
165 160 158 168  158 154 162 166 171 141
161 159 158  156 149 145 168 171 165 145
166 167 169 156 164 146 155 164 168 172
156 163 167 157 155 145 171 164 166 195

 

(i) Find the minimum and maximum height.

(ii) Find the percentage of students whose height is between 160 and 170 Centimeters.

(iii) Create and draw the frequency distribution with the help of a relevant graph.

(iv) Find the outlier of the data

Q2:An organisation collected the following data of its employees: “years in employment” and “employee's salary”. Use R programming to fit a linear regression line to predict the effect of years in employment on the employee’s salary. Also, predict the salary of an employee who is employed for 11 years.

Employee Number Years in Employment Employee Monthly salary in thousand Rs
1 10 149
2 8 120
3 12 150
4 7 110
5 6 100
6 5 90
7 9 130
8 8 110
9 3 80
10 4 85

 

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IGNOU MCA-NEW Assignments Jan - July 2025 - IGNOU University has uploaded its current session Assignment of the MCA-NEW Programme for the session year 2025. Students of the MCA-NEW Programme can now download Assignment questions from this page. Candidates have to compulsory download those assignments to get a permit of attending the Term End Exam of the IGNOU MCA-NEW Programme.

Download a PDF soft copy of IGNOU MCSL 229 Cloud and Data Science Lab MCA-NEW Latest Solved Assignment for Session January 2025 - December 2025 in English Language.

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Course Name Master of Computer Application
Course Code MCA-NEW
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