LinkedIn MATLAB assessment answers

LinkedIn MATLAB Assessment

 

 

LinkedIn MATLAB Assessment Answers

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The topics in the MATLAB assessment include:

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?
 
How to pass LinkedIn MATLAB Assessment Test
  • [ ] 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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