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Question # 4

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

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Question # 5

The least squares optimization technique (The Method of Least Squares) is used in which algorithm?

A.

Support Vector Machines

B.

Naive Bayes classification

C.

Logistic regression

D.

Linear regression

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Question # 6

What are the various components that make up a time series data?

A.

trend, noise, covariance

B.

trend, noise, kurtosis

C.

trend, seasonality, causation

D.

trend, seasonality, noise

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Question # 7

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

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Question # 8

After importing a Jupyter notebook and CSV data file into IBM Watson Studio in the IBM Public Cloud project, it is discovered that the notebook code can no longer access the CSV file.

What is the most likely reason for this problem?

A.

CSV files cannot be used as data sources in Watson Studio.

B.

The CSV file was converted to a binary blob and must be converted in the notebook code.

C.

The CSV file is stored in a Cloud Object Storage.

D.

The CSV file is stored in a Watson Machine Learning instance and is only accessible via REST API.

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Question # 9

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.

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