C1000-059 Online Practice Questions and Answers

DRAG DROP

What is the best step by step order for machine learning pipeline?

Select and Place:

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

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 = affine1(ReLU(affine2(x)))

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

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

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

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

Which two statements are correct about deploying machine learning models? (Choose two.)

A. It allows integration within business applications.

B. It makes it possible to create reports for management dynamically using specific parameters from executives.

C. It is critical for achieving high accuracy in training.

D. It is a necessary step in training and evaluating the performance of the models.

E. It is only possible on the cloud because they require a large amount of compute resources.

Which test is applied to determine the relationship between two categorical variables?

A. paired t-test

B. chi squared test

C. z test

D. t-test

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

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

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

What are two hyperparameters used when building a k-means model? (Choose two.)

A. kernel

B. learning rate

C. number of iterations

D. number of clusters

E. number of neighbors

Which two properties hold true for standardized variables (also known as z-score normalization)? (Choose two.)

A. standard deviation = 0.5

B. expected value = 0

C. expected value = 0.5

D. expected value = 1

E. standard deviation = 1