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C1000-059 dumps questions answers

IBM C1000-059 Dumps

Exam Code:
C1000-059
Exam Name:
IBM AI Enterprise Workflow V1 Data Science Specialist
Last Update: Apr 16, 2024
62 Questions
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IBM AI Enterprise Workflow V1 Data Science Specialist Questions and Answers

Questions 1

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 2

Which statement is true in the context of evaluating metrics for machine learning algorithms?

Options:

A.

A random classifier has AUC (the area under ROC curve) of 0.5

B.

Using only one evaluation metric is sufficient

C.

The F-score is always equal to precision

D.

Recall of 1 (100%) is always a good result

Questions 3

What is meant by the curse of dimensionality?

Options:

A.

The number of available algorithms for a given task is high.

B.

The number of available data sources for a given task is high.

C.

The data sparsity becomes more severe as the number of features is increased.

D.

The data sparsity becomes more severe as the number of samples is increased.