C1000-059 Online Practice Questions and Answers

DRAG DROP

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

Select and Place:

Given the following matrix multiplication:

What is the value of P?

A. ?

B. 17

C. 12

D. ?

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.

With only limited labeled data available how might a neural network use case be realized?

A. by assigning random labels

B. by increasing the depth of the neural network

C. by creating random data

D. by using a customized pre-trained model

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

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 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. unsupervised learning

B. mentoring

C. reinforcement learning

D. supervised learning

A classification task has examples that are labeled as belonging to one of two classes:

1.

90% of the examples belong to class-1

2.

10% belong to class-2

Which two techniques are appropriate to deal with the class imbalance? (Choose two.)

A. apply dimensionality reduction to the features before training

B. impose an additional cost on the model for making classification mistakes on the minority class during training

C. lower the detection threshold of the minority class after training

D. oversample the minority class and/or undersample the majority class

E. after training, divide the model accuracy of each class by the proportion that they represent in the dataset

In a hyperparameter search, whether a single model is trained or a lot of models are trained in parallel is largely determined by?

A. The number of hyperparameters you have to tune.

B. The presence of local minima in your neural network.

C. The amount of computational power you can access.

D. Whether you use batch or mini-batch optimization.

Which statement defines p-value?

A. It is the probability of accepting a null hypothesis when the hypothesis is proven true.

B. It is the probability of rejecting a null hypothesis when the hypothesis is proven false.

C. It is the probability of accepting a null hypothesis when the hypothesis is proven false.

D. It is the probability of rejecting a null hypothesis when the hypothesis is proven true.