Exam Details

  • Exam Code
    :C1000-059
  • Exam Name
    :IBM AI Enterprise Workflow V1 Data Science Specialist
  • Certification
    :IBM Data and AI
  • Vendor
    :IBM
  • Total Questions
    :62 Q&As
  • Last Updated
    :May 11, 2024

IBM IBM Data and AI C1000-059 Questions & Answers

  • Question 41:

    What is used to scale large positive values during data cleaning?

    A. division by random numbers

    B. square

    C. logarithm

    D. subtract median

  • Question 42:

    What is an example of a supervised machine learning algorithm that can be applied to a continuous numeric response variable?

    A. linear regression

    B. k-means

    C. local outlier factor (LOF)

    D. naive Bayes

  • Question 43:

    With only limited labeled data available how might a neural network use case be realized?

    A. by assigning random labels

    B. by increasing the depth of the neural network

    C. by creating random data

    D. by using a customized pre-trained model

  • Question 44:

    What is the first step in creating a custom model in Watson Visual Recognition service?

    A. Test the newly trained model.

    B. Document the errors from the built in models.

    C. Obtain image files containing objects to be classified and organize them into classes.

    D. Use IBM SPSS to create new machine learning classifiers.

  • Question 45:

    Which test is applied to determine the relationship between two categorical variables?

    A. paired t-test

    B. chi squared test

    C. z test

    D. t-test

  • Question 46:

    What statement is true about UTF-8?

    A. It is encoding for Latin script.

    B. It is rarely used today.

    C. It is encoding for Unicode characters.

    D. It is equal to ASCII.

  • Question 47:

    Which of the following entity extraction techniques would be best for the extraction of telephone numbers from a text document?

    A. complex pattern-based

    B. regex

    C. statistical

    D. dictionary

  • Question 48:

    Which is a technique that automates the handling of categorical variables?

    A. binary encoding

    B. decoding

    C. autoencoding

    D. one-hot encoding

  • Question 49:

    Which two statements are correct about deploying machine learning models? (Choose two.)

    A. It allows integration within business applications.

    B. It makes it possible to create reports for management dynamically using specific parameters from executives.

    C. It is critical for achieving high accuracy in training.

    D. It is a necessary step in training and evaluating the performance of the models.

    E. It is only possible on the cloud because they require a large amount of compute resources.

  • Question 50:

    Determine the number of bigrams and trigrams in the sentence. "Data is the new oil".

    A. 3 bigrams, 3 trigrams

    B. 4 bigrams, 4 trigrams

    C. 3 bigrams, 4 trigrams

    D. 4 bigrams, 3 trigrams

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