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IBM Watson Data Scientist v1 Sample Questions (Q54-Q59):

NEW QUESTION # 54
What is a benefit of creating data pipelines to automate the model lifecycle?

A. It provides a structured approach to processing, validating, and deploying models
B. Encourages a one-size-fits-all approach to model development
C. It necessitates frequent manual updates and checks
D. Reduces the need for understanding the underlying data

Answer: A

NEW QUESTION # 55
Which search algorithm is known for its exhaustive search over a specified parameter space for hyperparameter tuning?

A. Grid Search
B. Binary Search
C. Random Search
D. Sequential Search

Answer: A

NEW QUESTION # 56
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. The F1 score of predicted intents in the Analytics tab
B. The Root Mean Squared Error (RMSE) of words
C. Measure escalated calls using A/B testing
D. The Area Under the Curve (AUC)

Answer: C

NEW QUESTION # 57
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

Answer: A

NEW QUESTION # 58
In the deployment phase, why is it important to know the different data sources available in Cloud Pak for Data?

A. To ensure that all data sources are manually processed
B. Because only one type of data source can be used in any deployment
C. To limit the deployment to only use local file storage
D. To effectively integrate and manage data from various sources for analysis and model training

Answer: D

NEW QUESTION # 59
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