Skip to main content

ads1

class 10th chapter 3 Handling Images in HTML

   Choose the correct option from the following:

(1) Which of the following tag is used to insert a video file into an HTML document ?

(a) img
(b) image
(c) href
(d) ime

(2) As the image element does not cause a line break, it is also referred to as which of the following ?

(a) An online image
(b) An inline image
(c) An outline image
(d) Blank image

(3) Which one of the following is a valid image file format ?

(a) Img
(b) Move
(c) Mp3
(d) Png

(4) Which of the following is provided when we use alt attribute of an image ?
(a) Alternative description
(b) Alt key definition 

(c) Alternative image
(d) Alternative HTML link

(5) Which of the following attributes specify the values of height and width of the image in pixels ? (a) Img src
(b) Height and width
(c) H and V
(d) Any of the above

(6) Which of the following is not a valid image format ?

(a) Imv
(b) Png
(c) Bmp
(d) Gif

(7) Which of the following concept is used to display whole image as a link ?

(a) Image as hot spot
(b) Hot text
(c) Active link
(d) Any of this

(8) Which of the following are the two types of image maps ?

(a) Shopper side and user side
(b) Server side and client side
(c) Vendor side and supplier side
(d) All of these

(9) Which of the following tag is used to add an image map ?

(a) Image name
(b) Htemp
(c) Map
(d) Alt


Link to Download MCQ :- 





Labels:

ads2

Popular posts from this blog

11. Write a Java program to input basic salary of an employee and calculate its Gross salary according to following:

    11. Write a Java program to input basic salary of an employee and calculate its Gross salary according to following: Basic Salary <= 10000 : HRA = 20%, DA = 80% Basic Salary <= 20000 : HRA = 25%, DA = 90% Basic Salary > 20000 : HRA = 30%, DA = 95% Static Solution :-  class salary {     public static void main(String args[])     {     double basic=20000.50,gross,da,hra;     if(basic <=10000)     {         da = basic * 0.8;         hra = basic *0.2;     }              else if(basic <=20000)     {         da = basic * 0.9;         hra = basic *0.25;     }     else     {         da = basic * 0.95;         hra = basic * 0.3;     }     gross = basic + da + hra;     System.out.println("The Gross Salary is :-"+gross);     } } Output :-  Dynamic Solution :-  class salary {     public static void main(String args[])     {     double basic=20000.50,gross,da,hra;     Scanner in = new Scanner(System.in);     System.out.println("Enter the Basic Salary
Read more

1. Given the school result data, analyses the performance of the students on #different parameters, e.g subject wise or class wise.

1. Given the school result data, analyses the performance of the students on #different parameters, e.g subject wise  or class wise. Solution :-   # x-axis is shows the subject and y -axis # shows the markers in each subject # import pandas and matplotlib  import pandas as pd  import matplotlib.pyplot as plt # Simple Line Chart with setting of Label of X and Y axis, # title for chart line and color of line  subject = ['Physic','Chemistry','Mathematics', 'Biology','Computer'] marks =[80,75,70,78,82] # To draw line in red colour plt.plot(subject,marks,'r',marker ='*')     # To Write Title of the Line Chart plt.title('Marks Scored') # To Put Label At Y Axis plt.xlabel('SUBJECT')           # To Put Label At X Axis plt.ylabel('MARKS')             plt.show() Output :- 
Read more

24.Create a Data Frame quarterly sales where each row contains the item category, item name, and expenditure. Group the rows by the category and print the total expenditure per category.

24.Create a Data Frame quarterly sales where each row contains the item category, item name, and expenditure. Group the rows by the category and print the total expenditure per category. import pandas as pd  # initialize list of lists data = [['CAR','Maruti',1000000],['AC','Hitachi',55000],['AIRCOLLER','Bajaj',12000], ['WASHING MACHINE','LG',15000],['CAR','Ford',7000000],['AC','SAMSUNG',45000],['AIRCOLLER','Symphony',20000],['WASHING MACHINE','Wirlpool',25000]] Col=['itemcat','itemname','expenditure'] # Create the pandas DataFrame qrtsales = pd.DataFrame(data,columns=Col) # print dataframe.  print (qrtsales) qs=qrtsales.groupby('itemcat')  print('Result after Filtering Dataframe')  print(qs['itemcat','expenditure'].sum()) Output :- 
Read more