Ultimate Guide to Prepare C1000-059 Certification Exam for IBM Data and AI: Data and AI in 2021 [Q24-Q39]

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Ultimate Guide to Prepare C1000-059 Certification Exam for IBM Data and AI: Data and AI in 2021

Use Real C1000-059 Dumps - IBM Correct Answers updated on 2021

NEW QUESTION 24
What are two key characteristics of cloud architecture that could benefit AI applications? (Choose two.)

  • A. the hardware requirement can be scaled up as per the demand
  • B. hybrid clouds enable the deployment of distributed large neural networks
  • C. constant attention needed for maintenance and support of the cloud platform
  • D. capable of managing and handling dynamic workloads with automatic recovery from failures
  • E. support for common business oriented language (COBOL) applications

Answer: A,D

 

NEW QUESTION 25
Which fine-tuning technique does not optimize the hyperparameters of a machine learning model?

  • A. grid search
  • B. random search
  • C. population based training
  • D. hyperband

Answer: D

 

NEW QUESTION 26
Determine the number of bigrams and trigrams in the sentence. "Data is the new oil".

  • A. 3 bigrams, 4 trigrams
  • B. 4 bigrams, 3 trigrams
  • C. 3 bigrams, 3 trigrams
  • D. 4 bigrams, 4 trigrams

Answer: C

 

NEW QUESTION 27
What is the meaning of "deep" in deep learning?

  • A. The higher the number of machine learning algorithms that can be applied, the deeper is the learning.
  • B. A kind of deeper understanding achieved by any approach taken.
  • C. It indicates the many layers contributing to a model of the data.
  • D. To go deep into the loss function landscape.

Answer: C

 

NEW QUESTION 28
Which statement is true in the context of evaluating metrics for machine learning algorithms?

  • A. A random classifier has AUC (the area under ROC curve) of 0.5
  • B. Recall of 1 (100%) is always a good result
  • C. Using only one evaluation metric is sufficient
  • D. The F-score is always equal to precision

Answer: C

 

NEW QUESTION 29
Select the three computing languages that IBM Cloud Object Storage SDK supports. (Choose three.)

  • A. Node.js
  • B. Python
  • C. C/C++
  • D. PHP
  • E. Java
  • F. Swift

Answer: A,B,E

 

NEW QUESTION 30
What is used to scale large positive values during data cleaning?

  • A. division by random numbers
  • B. logarithm
  • C. subtract median
  • D. square

Answer: A

 

NEW QUESTION 31
When communicating technical results to business stakeholders, what are three appropriate topics to include?
(Choose three.)

  • A. differences between cloud provider portfolios
  • B. newest developments in AI methods
  • C. benefits of cognitive over business analytics
  • D. realistic impact on the business measures
  • E. alternative methods to address the business problem
  • F. methods that failed

Answer: C,D,E

 

NEW QUESTION 32
A neural network is composed of a first affine transformation (affine1) followed by a ReLU non-linearity, followed by a second affine transformation (affine2).
Which two explicit functions are implemented by this neural network? (Choose two.)

  • A. y = ReLU(affine1(x), affine2(x))
  • B. y = max(affine1(x), affine2(x))
  • C. y = affine2(ReLU(affine1(x)))
  • D. y = affine1(ReLU(affine2(x)))
  • E. y = affine2(max(affine1(x), 0))

Answer: C,E

 

NEW QUESTION 33
Given two multidimensional arrays of the same data type, A and B which two Python NumPy statements give the matrix product of the two matrices? (Choose two.)

  • A. A @ B
  • B. A * B
  • C. np.dot(A,B)
  • D. A × B
  • E. np.matprod(A,B)

Answer: B,E

 

NEW QUESTION 34
What are three elements that are typically part of a machine learning pipeline in scikit-learn or pyspark?
(Choose three.)

  • A. data preprocessing
  • B. model building
  • C. model prediction
  • D. business understanding
  • E. use case selection
  • F. data exploration

Answer: A,C,F

 

NEW QUESTION 35
Which IBM Watson Machine Learning deployment method offers the ultimate flexibility in deploying a machine learning model?

  • A. Watson Machine Learning FORTRAN client
  • B. Watson Machine Learning REST API
  • C. Watson Machine Learning Python client
  • D. Watson Studio Project

Answer: B

 

NEW QUESTION 36
What is a class of machine learning problems where the algorithm builds a mathematical model from a set of data that contains both the inputs and the desired outputs?

  • A. reinforcement learning
  • B. supervised learning
  • C. mentoring
  • D. unsupervised learning

Answer: B

 

NEW QUESTION 37
If the distribution of the height of American men is approximately normal, with a mean of 69 inches and a standard deviation of 2.5 inches, then roughly 68 percent of American men have heights between and .

  • A. 66.5 inches and 71.5 inches
  • B. 64 inches and 74 inches
  • C. 71.5 inches and 76.5 inches
  • D. 66.5 inches and 69 inches

Answer: D

 

NEW QUESTION 38
Which is a preferred approach for simplifying the data transformation steps in machine learning model management and maintenance?

  • A. Leverage only deep learning algorithms.
  • B. Implement data transformation, feature extraction, feature engineering, and imputation algorithms in one single pipeline.
  • C. Do not apply any data transformation or feature extraction or feature engineering steps.
  • D. Apply a limited number of data transformation steps from a pre-defined catalog of possible operations independent of the machine learning use case.

Answer: C

 

NEW QUESTION 39
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