IBM C1000-154 : IBM Watson Data Scientist v1

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IBM Watson Data Scientist v1 Sample Questions:

1. 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) Select tools that the team is already familiar with, even if they are not the best fit for the algorithm.
D) Always use the most complex tool to ensure the model's accuracy.

2. 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) Order
B) Filter
C) Condition
D) Key

3. Which of the following is a key feature of Watson Knowledge Catalog (WKC) for identifying appropriate data sources?

A) Automated code compilation
B) Cloud storage optimization
C) Real-time messaging
D) Data discovery and categorization

4. A virtual assistant has been developed and deployed based on the Watson Assistant service. The assistant will support customers by answering FAQs (Frequent Answered Questions).
Which metric is a good indicator of the performance of the virtual assistant?

A) Measure escalated calls using A/B testing
B) The Root Mean Squared Error (RMSE) of words
C) The F1 score of predicted intents in the Analytics tab
D) The Area Under the Curve (AUC)

5. In unsupervised learning, which algorithm is best suited for grouping customers based on their purchase history to target marketing efforts more effectively?

A) Support Vector Machines
B) Decision Trees
C) Linear Regression
D) K-Means Clustering

Solutions: