IBM C1000-154 valid study dumps : IBM Watson Data Scientist v1

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IBM C1000-154 Exam Syllabus Topics:

IBM Watson Data Scientist v1 Sample Questions:

1. When comparing models to choose the best one, which factor is least likely to be considered?

A) The color scheme of the model's output visualizations
B) The performance of the model on validation data
C) The explainability of the model's predictions
D) The complexity of the model

2. 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) Classification
B) Regression
C) Clustering
D) Dimensionality Reduction

3. Given the Confusion matrix below, which is the formula for specificity?

A) TP/(FP + TP)
B) TN/(TN + FP)
C) (TP + TN)/(FN + FP + TN + TP)
D) TP/(FN + TP)

4. In Cognos Analytics, which two features distinguish stories from dashboards?

A) Stories convey a conclusion.
B) Stories can be embedded in websites or documents.
C) Stories automatically load different filters for different users.
D) Stories provide a narrative over time.
E) Stories are text-based and do not contain visualizations.

5. How do you determine which tool to use based on algorithm requirements and expertise?

A) Choose the newest tools on the market for the most up-to-date features.
B) Consider the tool's compatibility with the algorithm requirements and the team's expertise.
C) Always use the most complex tool to ensure the model's accuracy.
D) Select tools that the team is already familiar with, even if they are not the best fit for the algorithm.

Solutions: