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IBM C1000-059 Exam Actual Questions

The questions for C1000-059 were last updated on April 23, 2024.
  • Viewing page 1 out of 16 pages.
  • Viewing questions 1-4 out of 62 questions
 

Topic 1 - Exam A

Question #1 Topic 1

A new test to diagnose a disease is evaluated on 1152 people, and 106 people have the disease, and 1046 people do not have the disease. The test results are summarized below:

In this sample, how many cases are false positives and false negatives?

  • A. 33 false positives and 81 false negatives
  • B. 81 false positives and 73 false negatives
  • C. 73 false positives and 81 false negatives
  • D. 81 false positives and 33 false negatives
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Correct Answer: A 🗳️

Question #2 Topic 1

What is the goal of the backpropagation algorithm?

  • A. to randomize the trajectory of the neural network parameters during training
  • B. to smooth the gradient of the loss function in order to avoid getting trapped in small local minimas
  • C. to scale the gradient descent step in proportion to the gradient magnitude
  • D. to compute the gradient of the loss function with respect to the neural network parameters
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Correct Answer: B 🗳️

Question #3 Topic 1

With the help of AI algorithms, which type of analytics can help organizations make decisions based on facts and probability-weighted projections?

  • A. prescriptive analytics
  • B. cognitive analytics
  • C. predictive analytics
  • D. descriptive analytics
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Correct Answer: A 🗳️

Question #4 Topic 1

What is the technique called for vectorizing text data which matches the words in different sentences to determine if the sentences are similar?

  • A. Cup of Vectors
  • B. Box of Lexicon
  • C. Sack of Sentences
  • D. Bag of Words
Reveal Solution Hide Solution   Discussion  

Correct Answer: D 🗳️

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