IGNOU MCSL 229 SOLVED ASSIGNMENT
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MCSL 229: Cloud and Data Science Lab
| 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 2026 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). |
| Format | Ready-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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