Pass the IBM IBM Data and AI: Data and AI C1000-059 Questions and answers with CertsForce

Viewing page 2 out of 2 pages
Viewing questions 11-20 out of questions
Questions # 11:

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

Options:

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.


Questions # 12:

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

Question # 12


Questions # 13:

Which IBM Watson Machine Learning deployment method offers the ultimate flexibility in deploying a machine learning model?

Options:

A.

Watson Machine Learning Python client


B.

Watson Machine Learning FORTRAN client


C.

Watson Studio Project


D.

Watson Machine Learning REST API


Questions # 14:

What is the meaning of "deep" in deep learning?

Options:

A.

To go deep into the loss function landscape.


B.

The higher the number of machine learning algorithms that can be applied, the deeper is the learning.


C.

A kind of deeper understanding achieved by any approach taken.


D.

It indicates the many layers contributing to a model of the data.


Questions # 15:

What are three elements that are typically part of a machine learning pipeline in scikit-learn or pyspark? (Choose three.)

Options:

A.

model building


B.

data preprocessing


C.

model prediction


D.

business understanding


E.

use case selection


F.

data exploration


Questions # 16:

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

Options:

A.

trend, noise, covariance


B.

trend, noise, kurtosis


C.

trend, seasonality, causation


D.

trend, seasonality, noise


Questions # 17:

Considering one ML application is deployed using Kubernetes, its output depends on the data which is constantly stored in the model, if needing to scale the system based on available CPUs, what feature should be enabled?

Options:

A.

persistent storage


B.

vertical pod autoscaling


C.

horizontal pod autoscaling


D.

node self-registration mode


Questions # 18:

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

Options:

A.

paired t-test


B.

chi squared test


C.

z test


D.

t-test


Viewing page 2 out of 2 pages
Viewing questions 11-20 out of questions