Free C1000-059 – IBM AI Enterprise Workflow V1 Data Science Specialist Practice Test Question

Select all that apply, then click Submit answer.

• ○

  Node.js

• ○

  Java

• ○

  PHP

• ○

  Swift

• ○

  Python

• ○

  C/C++
  
  

Select all that apply, then click Submit answer.

• ○

  methods that failed

• ○

  newest developments in AI methods

• ○

  benefits of cognitive over business analytics

• ○

  realistic impact on the business measures

• ○

  differences between cloud provider portfolios

• ○

  alternative methods to address the business problem
  
  

Select all that apply, then click Submit answer.

• ○

  standard deviation = 0.5

• ○

  expected value = 0

• ○

  expected value = 0.5

• ○

  expected value = 1

• ○

  standard deviation = 1
  
  

Select all that apply, then click Submit answer.

• ○

  multi-label classification

• ○

  isolation forest

• ○

  gradient descent

• ○

  one class Support Vector Machine (SVM)

• ○

  Word2Vec
  
  

Select all that apply, then click Submit answer.

• ○

  y = affine1(ReLU(affine2(x)))

• ○

  y = max(affine1(x), affine2(x))

• ○

  y = affine2(ReLU(affine1(x)))

• ○

  y = affine2(max(affine1(x), 0))

• ○

  y = ReLU(affine1(x), affine2(x))
  
  

Select an option, then click Submit answer.

• ○

  –9

• ○

  17

• ○

  12

• ○

  –7
  
  

Select an option, then click Submit answer.

• ○

  ['dog', 'fence', 'run']

• ○

  ['fence', 'jumps']

• ○

  ['dog', 'fence', 'jumps']

• ○

  ['a', 'dog', 'fence', 'jumps', 'over', 'the']
  
  

Select an option, then click Submit answer.

• ○

  Support Vector Machines

• ○

  Naive Bayes classification

• ○

  Logistic regression

• ○

  Linear regression
  
  

Select an option, then click Submit answer.

• ○

  recall is always preferred

• ○

  identify suitable candidates for a job

• ○

  detection of malignant tumors

• ○

  book recommendation
  
  

Select an option, then click Submit answer.

• ○

  Test the newly trained model.

• ○

  Document the errors from the built in models.

• ○

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

• ○

  Use IBM SPSS to create new machine learning classifiers.