IBM IBM Data and AI C1000-059 Questions & Answers

• Question 31:

  What are three operators used by genetic programming? (Choose three.)

  A. reciprocation

  B. mutation

  C. duel

  D. selection

  E. sheltering

  F. crossover

  Correct Answer: CDF

• Question 32:

  What is meant by part-of-speech tagging in the context of text analytics?

  A. replaces words with synonyms, e g. answer for reply

  B. translates word by word

  C. finds the root word

  D. determines the category of a word, e.g nouns

  Correct Answer: D

  Reference: https://www.freecodecamp.org/news/an-introduction-to-part-of-speech-tagging-and-the-hidden- markov-model-953d45338f24/

• Question 33:

  Which situation would disqualify a machine learning system from being used for a particular use case?

  A. The use case requires a 100% likelihood of making a correct/true prediction.

  B. Training and testing data for the model contain outliers.

  C. Data for the machine learning model is available only as static CSV files.

  D. The neural network for the model requires significantly more computing power than a logistic regression model.

  Correct Answer: D

• Question 34:

  In which example would recall be preferred over precision?

  A. recall is always preferred

  B. identify suitable candidates for a job

  C. detection of malignant tumors

  D. book recommendation

  Correct Answer: C

  Reference: https://developers.google.com/machine-learning/crash-course/classification/precision-and- recall

• Question 35:

  In machine vision, the algorithm for detecting objects or features in an image based on a target pattern is known as?

  A. OCR

  B. Hough transformation

  C. Fourier transform

  D. normalized correlation

  Correct Answer: D

• Question 36:

  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. reinforcement learning

  B. feedback-based optimization

  C. dynamic programming

  D. reward learning

  Correct Answer: A

  Reference: https://www.kdnuggets.com/2018/03/5-things-reinforcement-learning.html

• Question 37:

  Which measure can be used to show business stakeholders the likelihood that a machine learning model will generate a true prediction?

  A. accuracy

  B. variance

  C. mean

  D. skewness

  Correct Answer: A

• Question 38:

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

  A. methods that failed

  B. newest developments in AI methods

  C. benefits of cognitive over business analytics

  D. realistic impact on the business measures

  E. differences between cloud provider portfolios

  F. alternative methods to address the business problem

  Correct Answer: CDF

• Question 39:

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

  A. constant attention needed for maintenance and support of the cloud platform

  B. capable of managing and handling dynamic workloads with automatic recovery from failures

  C. hybrid clouds enable the deployment of distributed large neural networks

  D. support for common business oriented language (COBOL) applications

  E. the hardware requirement can be scaled up as per the demand

  Correct Answer: BE

• Question 40:

  A neural network is trained for a classification task. During training, you monitor the loss function for the train dataset and the validation dataset, along with the accuracy for the validation dataset. The goal is to get an accuracy of 95%.

  

  From the graph, what modification would be appropriate to improve the performance of the model?

  A. increase the depth of the neural network

  B. insert a dropout layer in the neural network architecture

  C. increase the proportion of the train dataset by moving examples from the validation dataset to the train dataset

  D. restart the training with a higher learning rate

  Correct Answer: D