Question
Software Development Company has set up its new center at Raipur for its office and web-based activities. It has 4 blocks of buildings named Block A, Block B, Block C, Block (d).

Block Number of Computers
A 25
B 50
C 125
D 10

Shortest distances between various Blocks in meters:

Block A to Block B 60m
Block B to Block C 40m
Block C to Block A 30m
Block D to Block C 50m

(a) Suggest most suitable place to store server of this company.

(i) Block A (ii) Block B

(iii) Block C (iv) Block D

(b) Suggest the topology within the blocks.

(i) Bus (ii) Ring

(iii) Tree (iv) Star

(c) Suggest the placement of the Router in the network.

(i) Block A (ii) Block B

(iii) Block C (iv) Block D

(d) The company wants to design a website for its customers that can be changing the contents as per the responses of customers. What type of website can they design for this purpose?

(i) Static Website (ii) HTML website

(iii) Dynamic Website (iv) Blog

(e) What type of network would be formed if the Raipur office is connected to their New Delhi office?

(i) LAN (ii) PAN

(iii) MAN (iv) WAN

Answer

(a) (iii) Block C

(b) (iv) Star

(c) (iii) Block C

(d) (iii) Dynamic Website

(d) (iv) WAN ->Wide Area Network

Need a full question paper?

Generate a complete, print-ready paper with questions like this in minutes — across 16+ boards, with answer keys.

Start Generating Free

Similar questions

Answer the questions given below based on the given dataset:

(i) To print the name of the libraries required.

(ii) To create the data frame for the above data.

(iii) To Display a summary of the basic information about this DataFrame and its data.

(iv) To display first 3 rows of the DataFramedf.

(v) Select just the 'animal' and 'age' columns from the DataFramedf

(vi) Select the data in rows [3, 4, 8] and in columns ['animal', 'age'].

(vii) Select only the rows where the number of visits is greater than 3.

(viii) Select the rows where the age is missing, i.e. is NaN.

(ix) Select the rows where the animal is a cat and the age is less than 3.

(x) Select the rows the age is between 2 and 4 (inclusive).

(xi) Change the age in row 'f' to 1.5.

(xii) Append a new row 'k' to df with your choice of values for each column. Then delete that row to return the original DataFrame.

(xiii) In the 'animal' column, change the 'snake' entries to 'python'.

Answer the following questions on the basis of given data set:

index date duration item month network network_type
0 0 15/10/14 06:58 34.429 data 2014-11 data data
1 1 15/10/14 06:58 13.000 call 2014-11 Vodafone mobile
2 2 15/10/14 14:46 23.000 call 2014-11 Airtel mobile
3 3 15/10/14 14:48 4.000 call 2014-11 data mobile
4 4 15/10/14 17:27 4.000 call 2014-11 Airtel mobile
5 5 15/10/14 18:55 4.000 call 2014-11 Airtel mobile
6 6 16/10/14 06:58 34.429 call 2014-11 data data
7 7 16/10/14 15:01 602.000 call 2014-11 Vodafone mobile
8 8 16/10/14 15:12 1050.000 call 2014-11 Airtel mobile
9 9 16/10/14 15:30 19.000 call 2014-11 voicemail voicemail
10 10 16/10/14 16:21 1183.000 call 2014-11 Vodafone mobile
11 11 16/10/14 22:18 1.000 sms 2014-11 Airtel mobile
12 12 16/10/14 22:21 1.000 sms 2014-11 Vodafone mobile
13 13 17/10/14 06:58 34.429 data 2014-11 data data

(i) To count the rows in the dataset

(ii) What was the longest phone call / data entry?

(iii) How many seconds of phone calls are recorded in total?

(iv) How many entries are there for each month?

(v) To print the group key

(vi) To count the group keys

(vii) Get the first entry for each month

(viii) Get the sum of the durations per month

(ix) Get the number of dates / entries in each month

(x) What is the sum of durations, for calls only, to each network

(xi) How many calls, sms, and data entries are in each month?

(xii) How many calls, texts, and data are sent per month, split by network_type?

(xiii) Group the data frame by month and item and extract a number of stats from each group

(xiv) Group the data frame by month and item and extract a number of stats from each group

Write the few negative points related to the usage of technology in our society.
Mr. Mathew is a programmer, who has recently joined the company and given a task to write a python code to perform update operation in binary file (stud.dat) which contain admno (Admission No) and fee(Fee paid by student).

He has succeeded in writing partial code and has missed out certain statements, You as an expert of Python have to provide the missing statements.

(a)

Krishna of class 12 is writing a program to read the details of Sports performance and store in the csv file “games.csv” delimited with a tab character. As a programmer, help him to achieve the task.

(a)Line 1 : Name the module he should import.

(b)Line 2 : To create an object to enable to write in the csv file.

(c)Line 3 : To store the data in list

(d)Line 4 : To write a record.

(e)Line 5 : To close the file.

With reference to the given data frame answer the questions given below:

id name host_id host_name neighbourhood_group neighbourhood latitude longitude
0 2539 Clean & quiet apt
home by the park
2787 John Brooklyn Kensignton 40.64749 -73.97237
1 2595 Skylit Midtown
Castle
2845 Jennifer Manhattan Midtown 40.75362 -73.98377
2 3647 The Village
Of Harlem ...
New York !
4632 Elisabeth Manhattan Harlem 40.80902 -73.94190
3 3831 Cozy Entire Floor
of Brownstone
4869 LisaRoxanne Brooklyn Clinton Hill 40.68514 -73,95976
4 5022 Entire Apt:
Spacious Studio/
Loft by central park
7192 Laura Manhattan East Harlem 40.79851 -73.94399
5 5099 Large Cozy 1BR
Apartment in
Midtown East
7322 Chris Manhattan Murray Hill 40.74767 -73.97500
6 5121 BlissArtsSpace! 7356 Garon Brooklyn Bedford-Stuyvesant 40.68688 -7395596
7 5178 Large Furnished
Room Near Bway
8967 Shunichi Manhattan Hell’s Kitchen 40.76489 -73.98493

Assuming that other file is stored in CSV format named “nysc.csv” Import pandas as pd

(i) To create the Data frame of the above data.

(ii) To print the first 10 records

(iii) To display the name and Id.

Consider the following DEPT and WORKER tables. Write SQL queries for (i) to (iv) and find outputs for SQL queries (v) to (viii): [Delhi 2015]

Table: DEPT

DCODE DEPARTMENT CITY
D01 MEDIA DELHI
D02 MARKETING DELHI
D03 INFRASTRUCTURE MUMBAI
D05 FINANCE KOLKATA
D04 HUMAN RESOURCE MUMBAI

Table: WORKER

WNO NAME DOJ DOB GENDER DCODE
1001 George K 2013-09-02 1991-09-01 MALE D01
1002 Ryma Sen 2012-12-11 1990-12-15 FEMALE D03
1003 Mohitesh 2013-02-03 1987-09-04 MALE D05
1007 Anil Jha 2014-01-17 1984-10-19 MALE D04
1004 Manila Sahai 2012-12-09 1986-11-14 FEMALE D01
1005 R SAHAY 2013-11-18 1987-03-31 MALE D02
1006 Jaya Priya 2014-06-09 1985-06-23 FEMALE D05

Note: DOJ refers to date of joining and DOB refers to date of Birth of workers.

(i) To display Wno, Name, Gender from the table WORKER in descending order of Wno.

(ii) To display the Name of all the FEMALE workers from the table WORKER.

(iii) To display the Wno and Name of those workers from the table WORKER who are born between ‘1987-01-01’ and ‘1991-12-01’.

(iv) To count and display MALE workers who have joined after ‘1986-01-01’.

(v) SELECT COUNT(*), DCODE FROM WORKER GROUP BY DCODE HAVING COUNT(*)>1;

(vi) SELECT DISTINCT DEPARTMENT FROM DEPT;

(vii) SELECT NAME, DEPARTMENT, CITY FROM WORKER W,DEPT D WHERE W.DCODE=D.DCODE AND WNO<1003;

(viii) SELECT MAX(DOJ), MIN(DOB) FROM WORKER;

Write SOL queries for (i) to (iv) and find outputs for SQL queries (v) to (viii) which are based on the tables. [Delhi 2019(C)]

TABLE : CUSTOMERS

NO CNAME ADDRESS
101 Richa jain Delhi
101 Surbhi Sinha Chennai
103 Lisa Thomas Bangalore
104 Imran Ali Delhi
105 Roshan Singh Chennai

TABLE : TRANSACTION

TRNO CNO AMOUNT TYPE DOT
T001 101 1500 Credit 2017-11-23
T002 103 2000 Debit 2017-05-12
T003 102 3000 Credit 2017-06-10
T004 103 12000 Credit 2017-09-12
T004 101 1000 Debit 2017-09-05

(a) To display details of all transactions of TYPE Credit from Table TRANSACTION.

(b) To display the CNO and AMOUNT of all transactions done in the month September 2017 from the table TRANSACTION.

(c) To display the last date of transaction (DOT) from the table TRANSACTION for the customer having CNO as 103.

(d) To display all CNO,CNAME and DOT (date of transaction) of those CUSTOMERS from tables CUSTOMERS and TRANSACTION who have done transactions more than or equal to 2000.

(e) Select count(*), avg(amount) from transaction where dot>= ‘2017-06-01’;

(f) Select cno, count(*), max (amount) from transaction group by cno having count(*)> 1;

(g) Select cno, cname from customer where address not in (‘Delhi, ‘Bangalore’);

(h) Select distinct cno from transaction;

Write SQL queries for (i) to (iv) and find outputs for SQL queries (v) to (viii), which are based on the tables: [Delhi 2018(C)]

TABLE: SALESPERSON

CODE NAME SALARY ITCODE
1001 TANDEEP JHA 60000 I2
1002 YOGRAJ SINHA 70000 I5
1003 TENZIN JACK 45000 I2
1005 ANOKHI RAJ 50000 I7
1004 TARANA SEN 55000 I7

TABLE: ITEM

ITCODE ITEMTYPE TURNOVER
I5 STATIONARY 3400000
I7 HOISTERY 6500000
I2 BAKERY 10090000

(a) To display the CODE and NAME of all salesperson having “I7” item Type Code from the table SALESPERSON.

(b) To display all details from table SALESPERSON in descending order of SALARY.

(c) To display the number of SALESPERSON dealing in each TYPE of ITEM.(Use ITCODE for the same)

(d) To display NAME of all the salesperson table along with their corresponding ITEMTYPE from the ITEM table.

(e) Select max(salary) from salesperson;

(f) Select distinct itcode from salesperson;

(g) select code,name,i.itcode from sales person s, item i where s.itcode=i.itcode and turnover>=7000000;

(h) Select sum (salary)from salesperson where itcode=”i2”;

Given the following relation: STUDENT

Table: STUDENT

No. Name Age Department Dateofadm Fee Sex
1 Pankaj 24 Computer 10/01/97 120 M
2 Shalini 21 History 24/03/98 200 F
3 Sanjay 22 Hindi 12/12/96 300 M
4 Sudha 25 History 01/07/99 400 F
5 Rakesh 22 Hindi 05/09/97 250 M
6 Shakeel 30 History 27/06/98 300 M
7 Surya 34 Computer 25/02/97 210 M
8 Shikha 23 Hindi 31/07/97 200 F

Write SQL commands for the following queries

(a) To show all information about the students of History department.

(b) To list the names of female students who are in Hindi department.

(c) To list the names of all students with their date of admission in ascending order.

(d) To display student’s name, fee, age for male students only.

(e) To count the number of students with Age>23.