LinkedIn MATLAB Assessment Quiz Answers

 

LinkedIn MATLAB Assessment Answers 

Are you searching for LinkedIn MATLAB Assessment Answers? You're lending at the right place, here you will get 100% correct answers from the experts.

The LinkedIn Skill Assessments feature allows you to demonstrate your knowledge of the skills you’ve added to your profile. Job posters on LinkedIn can also add Skill Assessments as part of the job application process. This allows job posters to more efficiently and accurately verify the crucial skills a candidate should have for a role.

The topics in the MATLAB assessment include:

• Functions
• I/O and I/O Files
• Integrating Domains
• Language Fundamentals
• Loops and Vectorization
• Mathematics
• Object-Oriented Programming
• Plotting
• User Interface

Question Format
Multiple Choice

Language
English

LinkedIn MATLAB Assessment Questions and Answers 

Q1. From what distribution does the rand() function return value?

•  normal
•  poisson
•  binomial
•  uniform

Q2. Based on the code below, c is the \_ of a.

a = rand(1, 11);

b = sort(a);

c = b(1, ceil(end/2));

•  median
•  mode
•  mean
•  margin

Q3. What does the Profiler track?

•  execution time
•  command history
•  errors
•  the value of variables

Q4. Which code block contains the correct syntax for a while loop?

• [ ] a = 0;

do

    a = a + 1;

while a < 5

end

• [ ]

a = 0;

while(a < 5)

    a = a + 1;

• [ ]

a = 0;

while a < 5:

    a = a + 1;

• [x]

a = 0;

while a < 5

    a = a + 1;

end

Q5. What does b contain?

a =

    19    20    12     0     6

     6     9    56     0     3

    46     8     9     8    19

     9     8     8    19    46

     1     9    46     6    19

[x] b =

    56     0

     9     8

[ ] b =

     8    19

    19    46

Q6. You have written a function fun and want to measure how long it takes to run. Which code segment will return in the time in seconds it takes my fun to run?

• [ ] t = cputime(myfun());

• [x] tic;

myfun();

toc;

• [ ] timer.start;

myfun()

t = timer.stop;

• [ ] t = timer(myfun());

Q7. What is %% used for?

•  argument placeholder
•  block quotes
•  code sections
•  conversion specifier

Q8. what is the? character NOT used for?

•  structure field access
•  a decimal point
•  cell array access
•  element-wise operations

Q9. Which function could you use for multiple linear regression?

•  polyval
•  regress
•  solve
•  polyfit

Q10. For which of these arrays do mean, median and mode return the same value?

•  [0 1 1 1 2]
•  [1 3 5 5 6]
•  [0 1 1 1 1]
•  [0 0 5 5 5]

Q11. You are in the middle of a long MATLAB session where you have performed many analyses and made many plots. You run the following commands, yet a figure window doesn't pop up on the top of your screen with your plot. What might be the issue?

x = [-1:0.1:1];

y = X.^2;

plot(x, y)

•  Your plot doesn't plot in a figure window because the figure was not called immediately in advance.
•  Your plot syntax is incorrect.
•  Your plot is in a figure window that was already open, hidden behind other windows on your screen.
•  Your plot was saved to an image file but not displayed.

Q12. How do you access the value for the field name in structure S?

•  S['name']
•  S.name
•  S('name')
•  S{'name'}

Q13. What built-in definition do I have?

•  basic imaginary unit
•  index function
•  infinity
•  index variable

Q14. Which statement is equivalent to this for loop?

a = [1 2 3; 4 5 6];

b = zeros(size(a));

for i_row = 1:size(a, 1)

    for i_col = 1:size(a, 2)

        b(i_row, i_col) = a(i_row, i_col)^2;

    end

end

•  b = a*a;
•  b = a.^2;
•  b = a^2;
•  b = pow2(a);

Q15. You have plotted values of cosine from -10 to 10 and want to change the x-axis tick marks to every pi, from -3pi to 3pi. Which statement will do that?

•  xticks(-3pi:3.14:3pi)
•  xticks(-3pi:pi:3pi)
•  xticks(linespace(-3pi(), 3pi(), pi()))
•  xticks(linespace(-3pi, 3pi, pi)

Q16. What is the value of c?

a = ones(1,3);

b = 1:3;

c = conv(a,b)

•  [-1 2 -1]
•  [1 3 6 5 3]
•  6
•  [1 -2 1]

Q17. Which function CANNOT be used to randomly sample data?

•  datasample
•  randi
•  resample
•  randperm

Q18. Which choice is the correct syntax for a switch statement?

• [x] x = 7;

switch x

    case 2

        disp("two");

    otherwise

        disp("not two");

end

• [ ] x = 7;

switch x :

    case 2

        disp("two");

    otherwise

        disp("not two");

end

• [ ] x = 7;

switch x

    case 2

        disp("two");

    else

        disp("not two");

end

• [ ] x = 7;

switch x

    case 2

        disp("two");

    default

        disp("not two");

end

Q19. What is the result of this code?

a = 1;

b = 2;

c = 3;

d = 4;

e = c / (~a - b == c - d);

 Error

• [ ] c =

    NaN

• [x] c =

    Inf

• [ ] c =

    -0.2500

Q20. What is true of a handle class object?

•  When you pass a handle object to a function, a new object is made that is independent of the original.
•  All copies of handle objects refer to the same underlying object.
•  Handle objects cannot reference one another.
•  Handle objects that do not have a default eq function.

Q21. Which choice has a different final result in f10 than the other three?

• [ ] f10 = 1;

for i = 1:10

    f10 = f10 * i;

end

•  [ ] f10 = factorial(10)

• [x] f10 = 1;

i = 1;

while i <= 10

    i   = i + 1;

    f10 = i * f10;

end

• [ ] f10 = prod(1:10)

Q22. Which choice will NOT give you a 5 x 5 identity matrix?

• [ ] a = rand(5);

round(a * inv(a))

• [ ] diag(ones(5, 1))
• [ ] identity(5)
• [ ] eye(5)

Q23. Which statement creates this structure?

dog =

      name: 'Bindy'

     breed: 'border collie'

    weight: 32

 dog = struct('name', 'Bindy'; 'breed', 'border collie'; 'weight', 32);

• [x]

dog.name   = 'Bindy';

dog.breed  = 'border collie';

dog.weight = 32;

• [ ]

dog = {

    'name'  : 'Bindy',

    'breed' : 'border collie',

    'weight': 32;

}

• [ ]

dog('name')   = 'Bindy';

dog('breed')  = 'border collie';

dog('weight') = 32;

Q24. my_func is a function as follows. What is the value of an at the end of the code beneath?

function a = my_func(a)

    a = a + 1;

end

------------------

a = 0;

for i = 1:3

    my_func(a);

end

a = my_func(a);

•  4
•  3
•  0
•  1

Q25. Which statement could create this cell array?

c =

    {["hello world"]}    {1×1 cell}    {["goodbye"]}    {1×3 double}

•  c = {"hello world" {"hello"} "goodbye" [1 2 ]};
•  c = {"hello world" {"hello"} "goodbye" {[1 2 3]}};
•  c = {"hello world" {"hello"} "goodbye" [1 2 3]};
•  c = {"hello world" {"hello" "hello"} "goodbye" {[1 2 3]}};

Q26. Which choice adds b to each row of a?

a = ones(4, 4);

b= [1 2 3 4];

•  a = a + reshape(b, 4, 1);
•  a = a + b';
•  a = a + repmat(b, 4, 1);
•  a = a + [b b b b];

Q27. Which choice replaces all as with os?

• [ ] for i = 1:length(fruit)

    fruit{i}(fruit{i} == a) == o;

end

• [ ] for i = 1:length(fruit)

    fruit(i)(fruit(i) == 'a') == 'o';

end

• [x] for i = 1:length(fruit)

    fruit{i}(fruit{i} == 'a') == 'o';

end

• [ ] for i = 1:length(fruit)

    fruit{i}(fruit{i} == 'a') == 'o';

Q28. Which statement returns the roots for the polynomial x^2 + 2x - 4?

•  poly([1 2 -4])
•  solve(x^2 + 2x - 4 == 0)
•  polyfit(x^2 + 2x - 4 == 0)
•  roots([1 2 -4])

Q29. Which choice is the proper syntax to append new elements to the end of 1x 2-dimensional cell array C?

•  C = {C a};
•  C = cellcat(C a)
•  C = cat(2, {a}, C)
•  C{end+1}=a

Q30. You have loaded a dataset of people's heights into a 100 x 1 array called height. Which statement will return a 100 x 1 array, sim_height, with values from a normal distribution with the same mean and variance as your height data?

•  sim_height = std(height) + mean(height) * randn(100, 1);
•  sim_height = mean(height) + std(height) * randn(100, 1);
•  sim_height = randn(std(height), mean(height), [100, 1]);
•  sim_height = randn(mean(height), std(height), [100, 1]);

Q31. Which statement returns a cell array of the strings containing 'burger' from the menu?

menu = {'hot dog' 'corn dog' 'regular burger' 'cheeseburger' 'veggie burger'}

•  menu{strfind(menu, 'burger')}
•  menu(strfind(menu, 'burger'))
•  menu{contains(menu, 'burger')}
•  menu(contains(menu, 'burger'))

Q32. What is the set of possible values that a may contain?

a      = randi(10, [1, 10]);

a(3)   = 11;

a(a>2) = 12;

•  3, 4, 5, 6, 7, 8, 9, 10, 11, 12
•  1, 2, 12
•  2, 11, 12
•  1, 12

Q33. Which statement is true about the sparse matrices?

•  You can use the sparse function to remove empty cells from cell array variables.
•  Sparse matrices always use less memory than their associated full matrices.
•  Mixtures of sparse and full matrices can be combined in all of MATLAB's built-in arithmetic operations.
•  The sparse function requires its input to be a full matrix with at least 50% zero elements.

Q34. Which statement using logical indices will result in an error?

a = 1:10;

•  b = a(a ~= 11)
•  b = a(a == 1)
•  b = a(a>6 && a<9)
•  b = a(a | 1)

Q35. Which statement turns the menu into the variable menu_string below?

menu = {'hot dog' 'corn dog' 'regular burger' 'cheeseburger' 'veggie burger'}

menu_string =

    'hot dog

     corn dog

     regular burger

     cheeseburger

     veggie burger'

•  menu_string = cell2mat(join(menu, newline))
•  menu_string = cell2mat(join(menu, '\n'))
•  menu_string = join(menu, newline)
•  menu_string = cell2mat(pad(menu))

Q36. Which code snippet sets a new random seed based on the current time and saves the current settings of the random number generator?

•  rng_settings_curr = rng('shuffle');

 rng(time());

rng_settings_curr = rng();

•  rng_settings_curr = rand('shuffle');

rng('shuffle');

rng_settings_curr = rng();

Q37. You have a matrix data in which each column is a mono audio recording from a room in your house. You've noticed that each column has a very different mean and when you plot them all on the same graph, the spread across the y axis make it impossible to see anything. You want to subtract the mean from each column. Which code block will accomplish this?

•  data_nomean = data - repmat(median(data), size(data, 1), 1);
•  data_nomean = bsxfun(@minus, data, mean(data));

• data_nomean = zeros(size(data));

for i = 1:size(data, 1)

    data_nomean(i, :) = data(i, :) - mean(data(i, :));

end

•  data_nomean = zscore(data');

Q38. Which code block results in an array b containing the mean values of each array within C?

• b = zeros(1, size(C, 2));

for i_C = 1:size(C, 2)

    b(i_C) = mean(C(i_C));

end

 b = cellfun(@mean, C);

•  b = zeros(1, size(C, 1));

for i_C = 1:size(C, 1)

    b(i_C) = mean(C{i_C}(:));

end

•  b = cellfun(@(m) mean(m(:)), C)

Q39. Which statement creates a logical array that is 1 if the element in passwords contains a digit and 0 if it does not?

passwords = {'abcd' '1234' 'qwerty' 'love1'};

•  contains(password, '\d')
•  ~isempty(regexp(passwords, '\d'))
•  cellfun(@(x) ~isempty(regexp(x, '\d')), passwords)
•  regexp(passwords, '\d')

Q40. Which is NOT a function that adds text to a plot?

•  title
•  text
•  label
•  legend

Q41. Which code blocks most likely produced this graph?

• [ ] figure

x = rand(10,10);

r = corrcoef(x);

surf(r)

colorbar

 

• [x] figure

x = rand(10,10);

r = corrcoef(x);

imagesc(r)

colorbar

Q42. What kind of files are stored with the .mat extension?

•  figure files
•  script files
•  function files
•  stored variable files

Q43. You would like to randomly reorder every element in array a and put the result into another array b. Which code is NOT necessary to do that?

a = 1:10;

•  [ ] b = a(randi(10, 1, 10));

m = perms(a);

i = randi(factorial(10), 1);

b = a(m(i, :))

• [ ] [s, j] = sort(rand(10, 1));

b      = a(i);

• [ ] b = a(randperm(10));

Q44. Which statement returns 1 (true)?

a = 'stand'

b = "stand"

•  a == b
•  ischar(b)
•  length(a) == length(b)
•  class(a) == class(b)

Q45. Which does E contain?

C = {'dog' 'cat' 'mouse'}

D = {'cow' 'piranha' 'mouse'}

E = setdiff(C,D)

•  E = {'cat'} {'dog'}
•  E = {'mouse'}
•  E = {'cat'} {'cow'} {'dog'} {'piranha'}
•  E =

Q46. Where in the UI can you see what variables have been created, their values, and their class?

•  Editor
•  command window
•  details
•  workspace

Q47. Given the following x and y coordinates, which choice calculates a linear regression for the x and y coordinates, and which plots the points of the x,y data and the regression line on the same graph?

x = 9.0646 6.4362 7.8266 8.3945 5.6135 4.8186 2.8862 10.9311 1.1908 3.2586

y = 15.4357 11.0923 14.1417 14.9506 8.7687 8.0416 5.1662 20.5005 1.0978

• [x] coeff_line = polyfit(x,y,1)

x_line = floor(min(x)):0.1:ceil(max(x));

y_line = polyval(coeff_line,x_line)

figure; plot(x,y,'o')

hold on

plot(x_linemy_line)

• [ ] figure

plot(x,y,'o')

coeff_line = polyfit(x,y,1);

x_line = floor(min(x)):0.1:ceil(max(x));

y_line = polyval(coeff_line,x_line);

plot(x_line,y_line)

• [ ] figure

plot(x,y)

coeff_line = polyfit(x,y,1);

x_line = floor(min(x)):0.1:ceil(max(x));

y_line = polyval(coeff_line,x_line);

hold on; plot(x_line,y_line)

• [ ] coeff_line = polyfit(x,y,1);

x_line = floor(min(x)):0.1:ceil(max(x));

y_line = polyval(coeff_line,x_line);

figure; plot(x,y,'o')

hold on

plot(x_line,y_line)

Q48. If you run this piece of code, you will get an error. Why?

a = [0 1 2 3; 4 5 6 7];

a = a^2;

•  You are attempting to multiply a non-square matrix by itself, causing a dimension mismatch.
•  MATLAB does not allow you to square all the elements in the matrix in a single operation.
•  You must use the ** operator instead of the ^ operator.
•  You cannot square matrices that have a 0 as the first element.
• ===================
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