IBM C1000-059 Quiz 1 Topic 2 Questions 1-5

Question: 1

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

AIt allows integration within business applications.

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

CIt is critical for achieving high accuracy in training.

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

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

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Question: 2

What is the first step in creating a custom model in Watson Visual Recognition service?

ATest the newly trained model.

BDocument the errors from the built in models.

CObtain image files containing objects to be classified and organize them into classes.

DUse IBM SPSS to create new machine learning classifiers.

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Question: 3

A data scientist is exploring transaction data from a chain of stores with several locations. The data includes store number, date of sale, and purchase amount.

If the data scientist wants to compare total monthly sales between stores, which two options would be good ways to aggregate the data? (Choose two.)

AFind the sum of the transaction prices

BSelect the largest transaction amount by month and store

CWrite a GROUP BY query

DPlot a time series plot of transaction amounts

EGenerate a pivot table

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Question: 4

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

Akernel

Blearning rate

Cnumber of iterations

Dnumber of clusters

Enumber of neighbors

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Question: 5

When should median value be used instead of mean value for imputing missing data?

Afor skewed data

Bfor real numbers

Cfor normally distributed data

Dfor large data sets

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IBM C1000-059 Quiz:1 Topic:2 Questions:1-5