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Infosys Certified Advanced Machine Learning Professional

Practice with real exam-pattern questions for Infosys Certified Advanced Machine Learning Professional. Each question includes a detailed explanation to help you understand the concept, not just memorise the answer. Try 10 questions free — no login required.

AdvancedData Science & Machine Learning90 min
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10 Infosys Certified Advanced Machine Learning Professional practice questions with answers

Real Lex exam-pattern multiple-choice questions for the Infosys Certified Advanced Machine Learning Professional certification. Each question includes the correct answer. The full question bank is available to Premium members.

  1. Question 1

    Assume, you want to cluster 7 observations into 3 clusters using K-Means clustering algorithm. After first iteration clusters, C1, C2, C3 has following observations: C1: {(2,2), (4,4), (6,6)} C2: {(0,4), (4,0)} C3: {(5,5), (9,9)} What will be the cluster centroids if you want to proceed for second iteration?

    • C1: (6,6), C2: (4,4), C3: (9,9)

      Correct
    • B

      C1: (4,4), C2: (2,2), C3: (7,7)

    • C

      C1: (2,2), C2: (0,0), C3: (5,5)

    • D

      None of the options

  2. Question 2

    In order to perform binary classification, the preferred value of k is:

    • Even

      Correct
    • B

      Odd

    • C

      Either of them

    • D

      None of them

  3. Question 3

    Which of the following is/are true about Principal Component Analysis?

    • PCA is an unsupervised method

      Correct
    • B

      It searches for the directions that data have the largest variance

    • C

      Maximum number of principal components <= number of features

    • D

      All principal components are orthogonal to each other

  4. Question 4

    In time series, cyclic variations can be measured by:

    • Removing the trend from the series

      Correct
    • B

      Removing the seasonal variation from the series

    • C

      Removing the influences of the trend, seasonal and irregular variations

    • D

      None of these

  5. Question 5

    If the slope of the regression equation y = b0+b1x is positive, then:

    • as x increases y decreases

      Correct
    • B

      as x increases so does y

    • C

      Either a or b

    • D

      as x decreases y increases

  6. Question 6

    Which of the following statements is/are true about Decision Trees: a. Less data cleaning is required to build a decision tree. b. A decision tree tends to overfit the data. c. Not an exact fit for continuous data.

    • Only a and c

      Correct
    • B

      Only b and c

    • C

      Only a

    • D

      a, b, c

  7. Question 7

    The most widely used metrics and tools to assess a classification model are:

    • Confusion matrix

      Correct
    • B

      Cost-sensitive accuracy

    • C

      Area under the ROC curve

    • D

      All of the above

  8. Question 8

    Suppose, you build a model using sklearn.linear_model.LinearRegression and then evaluate it using the score() function. What does the score() method return?

    • R2 value

      Correct
    • B

      Mean squared error

    • C

      Root Mean squared error

    • D

      F1 score

  9. Question 9

    What happens k-fold validation?

    • Training data is divided into k equal sized subsets. Then, 1 subset is randomly selected and kept aside for validation, while the rest are used for training.

      Correct
    • B

      k random samples are picked and set aside to form the validation set, while the rest of the samples are used for training.

    • C

      k random samples are picked and used for training, while the rest are used for validation.

    • D

      k different models are built using the same training data, but with different hyperparameter settings and which are then validated against the test data. The best model is then chosen.

  10. Question 10

    Which of the following statements are true when you apply PCA to get new features from the available features present in the dataset?

    • The new derived features will still have interpretability

      Correct
    • B

      The new derived features will lose interpretability

    • C

      Th new derived features must carry all information present in data

    • D

      The new derived features may not carry all information present in data

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