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Penetration testers simulate C1000-059 exam PDF
NEW QUESTION 11
What is meant by the curse of dimensionality?
- A. The number of available algorithms for a given task is high.
- B. The data sparsity becomes more severe as the number of features is increased.
- C. The number of available data sources for a given task is high.
- D. The data sparsity becomes more severe as the number of samples is increased.
Answer: C
NEW QUESTION 12
When communicating technical results to business stakeholders, what are three appropriate topics to include?
(Choose three.)
- A. alternative methods to address the business problem
- B. methods that failed
- C. differences between cloud provider portfolios
- D. newest developments in AI methods
- E. benefits of cognitive over business analytics
- F. realistic impact on the business measures
Answer: A,E,F
NEW QUESTION 13
Which IBM Watson Machine Learning deployment method offers the ultimate flexibility in deploying a machine learning model?
- A. Watson Studio Project
- B. Watson Machine Learning FORTRAN client
- C. Watson Machine Learning Python client
- D. Watson Machine Learning REST API
Answer: D
NEW QUESTION 14
What are two methods used to detect outliers in structured data? (Choose two.)
- A. Word2Vec
- B. one class Support Vector Machine (SVM)
- C. isolation forest
- D. gradient descent
- E. multi-label classification
Answer: B,C
NEW QUESTION 15
Which is a technique that automates the handling of categorical variables?
- A. autoencoding
- B. decoding
- C. one-hot encoding
- D. binary encoding
Answer: C
NEW QUESTION 16
Which measure can be used to show business stakeholders the likelihood that a machine learning model will generate a true prediction?
- A. variance
- B. accuracy
- C. skewness
- D. mean
Answer: B
NEW QUESTION 17
Which statement defines p-value?
- A. It is the probability of accepting a null hypothesis when the hypothesis is proven false.
- B. It is the probability of rejecting a null hypothesis when the hypothesis is proven true.
- C. It is the probability of accepting a null hypothesis when the hypothesis is proven true.
- D. It is the probability of rejecting a null hypothesis when the hypothesis is proven false.
Answer: A
NEW QUESTION 18
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. supervised learning
- B. unsupervised learning
- C. mentoring
- D. reinforcement learning
Answer: A
NEW QUESTION 19
With the help of AI algorithms, which type of analytics can help organizations make decisions based on facts and probability-weighted projections?
- A. predictive analytics
- B. cognitive analytics
- C. prescriptive analytics
- D. descriptive analytics
Answer: C
NEW QUESTION 20
Which of the following entity extraction techniques would be best for the extraction of telephone numbers from a text document?
- A. dictionary
- B. regex
- C. statistical
- D. complex pattern-based
Answer: C
NEW QUESTION 21
What is a class of machine learning problems where the algorithm is given feedback in the form of positive or negative reward in a dynamic environment?
- A. dynamic programming
- B. feedback-based optimization
- C. reinforcement learning
- D. reward learning
Answer: C
NEW QUESTION 22
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. np.matprod(A,B)
- C. np.dot(A,B)
- D. A * B
- E. A × B
Answer: B,D
NEW QUESTION 23
What is the meaning of "deep" in deep learning?
- A. To go deep into the loss function landscape.
- B. The higher the number of machine learning algorithms that can be applied, the deeper is the learning.
- C. A kind of deeper understanding achieved by any approach taken.
- D. It indicates the many layers contributing to a model of the data.
Answer: D
NEW QUESTION 24
What is the goal of the backpropagation algorithm?
- A. to compute the gradient of the loss function with respect to the neural network parameters
- B. to randomize the trajectory of the neural network parameters during training
- C. to scale the gradient descent step in proportion to the gradient magnitude
- D. to smooth the gradient of the loss function in order to avoid getting trapped in small local minimas
Answer: D
NEW QUESTION 25
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. 71.5 inches and 76.5 inches
- B. 66.5 inches and 71.5 inches
- C. 66.5 inches and 69 inches
- D. 64 inches and 74 inches
Answer: C
NEW QUESTION 26
Given the following matrix multiplication:
What is the value of P?
- A. 0
- B. 1
- C. 2
- D. 3
Answer: C
NEW QUESTION 27
Which distance is applied for multivariate outlier detection?
- A. Euclidean distance
- B. Mahalanobis distance
- C. Manhattan distance
- D. Minkowski distance
Answer: B
NEW QUESTION 28
Select the three computing languages that IBM Cloud Object Storage SDK supports. (Choose three.)
- A. Java
- B. Python
- C. C/C++
- D. Node.js
- E. Swift
- F. PHP
Answer: A,B,D
NEW QUESTION 29
What is the name of the design thinking work product that contains a summary description of a particular person or role?
- A. user summary report
- B. My Sticky Note
- C. snapshot
- D. persona
Answer: D
NEW QUESTION 30
What is an example of a supervised machine learning algorithm that can be applied to a continuous numeric response variable?
- A. naive Bayes
- B. linear regression
- C. local outlier factor (LOF)
- D. k-means
Answer: B
NEW QUESTION 31
What is the first step in creating a custom model in Watson Visual Recognition service?
- A. Document the errors from the built in models.
- B. Use IBM SPSS to create new machine learning classifiers.
- C. Obtain image files containing objects to be classified and organize them into classes.
- D. Test the newly trained model.
Answer: B
NEW QUESTION 32
What is the primary role of a data steward?
- A. the one who collects, processes, and performs statistical analysis on data
- B. they are a "blue sky thinker" who comes up with new approaches to use new data in innovative ways
- C. they have a strong understanding of the enterprise's database architecture
- D. they define data processes to meet compliance and regulatory obligations
Answer: A
NEW QUESTION 33
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