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This particular Assignment references the syllabus chosen for the subject of Computer Application, for the January 2023 - July 2023 session. The code for the assignment is MCSL-229 and it is often used by students who are enrolled in the MCA (Revised) Degree.
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PART-I: Cloud Computing Lab
Q1. (a) Use Google Docs and create a word document of your completed projects and achievements of the last year and store it on Google Drive and provide permission to view the document. Share this document with any two hypothetical employing agencies.
(b) Use Google Sheets and create a spreadsheet which contains yearly details of the monthly salaries of 10 different employees in the heading – gross pay, provident fund deductions, income tax deduction and net salary. Find the total tax deducted from the salary of each employee. Also, compute total tax deduction based on yearly Gross Salary and provident fund deductions as per the formula given below. Find the tax due or refund for each employee from this data.
Yearly Salary = Yearly Gross Salary – (2,00,000 or Total Provident fund deduction whichever is low.)
Yearly tax computation:
If yearly salary < 5 lakhs No tax
If yearly salary >= 5 lakhs but < 10 lakhs, then
Tax is 20% on salary above 5 lakhs
If yearly salary > 10 lakhs, then
Tax is (1 lakh + 40% on salary above 10 lakhs)
(c) Use Google Slides and prepare 9 slides on the topic “Cloud Architectures” in a group of 3 students each 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 group members.
Q2. Create a list of cloud services provided by AWS. List the steps to set up an Elastic Compute Cloud (EC2) instance. Do these services lower the cost of operation of an organisation? Justify your answer.
Q3. Use Google App Engine to write a Google app engine program to generate prime numbers up to a number given number n and deploy it to Google cloud.
PART-II: Data Science Lab
Q1. The height of 50 adults in the age group 30-40 years, measured in centimetres, is given below. Perform the tasks given in (i) to (iii) using R programming
(i) Find the minimum and maximum height.
(ii) Find the percentage of adults, whose height is in between 160 and 170 centimetres.
(iii)Create and draw the frequency distribution with the help of a relevant graph.
Q2. The following data were collected on the height and weight of 16 students. Use R programming to fit a linear regression line to predict the effect of height on the weight of a student. Also, predict the weight of the student whose height is 160 centimetres:
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