IBM Watson Data Scientist v1 (C1000-154) Free Practice Test

Question 1

Which of the following is a critical first step in understanding a business problem for data science projects?

A. Deploying the model

B. Choosing the visualization tools

C. Selecting the machine learning algorithm

D. Defining the project scope

Correct Answer: D

Question 2

Which of the following is true about the AUC measure in the context of classification models?

A. It is less useful when the classes are highly imbalanced.

B. It represents the degree of separability between classes.

C. It indicates the number of false positives.

D. It measures the model's accuracy using a single threshold.

Correct Answer: B

Question 3

The ROC curve is a graphical representation that shows the performance of a classification model at all classification thresholds.
What does ROC stand for?

A. Regression Operation Characteristic

B. Recall Operation Curve

C. Receiver Operating Characteristic

D. Random Output Curve

Correct Answer: C

Question 4

Which method is used for merging records in SPSS Modeler Merge node that allows specifying a requirement to be satisfied in order for the merge to take place?

A. Condition

B. Key

C. Filter

D. Order

Correct Answer: A

Question 5

F1-score is particularly useful when:

A. Only the model's accuracy matters.

B. The dataset size is extremely large.

C. The data is completely balanced.

D. You need a balance between precision and recall.

Correct Answer: D

Question 6

In the context of deployment environments, understanding resources is crucial.
What does this typically involve?

A. Determining the computational power and memory requirements for the deployed solution

B. Focusing exclusively on the cost of storage

C. Selecting the programming language with the least number of keywords

D. Choosing the most aesthetically pleasing user interface

Correct Answer: A

Question 7

When deploying models in Watson Machine Learning, what is essential for ensuring the models perform as expected in production?

A. Using the highest number of resources for every model

B. Deployment without any security measures

C. Continuous monitoring and evaluation of model performance

D. Limiting access to the model to a few select users

Correct Answer: C

Question 8

Which type of machine learning algorithm would be most appropriate for predicting house prices based on various features like location, size, and number of bedrooms?

A. Regression

B. Dimensionality Reduction

C. Classification

D. Clustering

Correct Answer: A

Question 9

In the context of IBM Garage Methodology, which of the following best describes the "Enterprise Design Thinking" stage?

A. It focuses on maintaining and operating solutions at scale.

B. It involves the rapid building of prototypes to validate ideas.

C. It emphasizes understanding user outcomes and business needs.

D. It is primarily concerned with the technical deployment of solutions.

Correct Answer: C

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IBM Watson Data Scientist v1 (C1000-154) Free Practice Test