CertNexusCertified Data Science Practitioner (CDSP)
Domain 4Objective 2
Objective 4.2 Train Models CERTIFIED-DATA-SCIENCE-PRACTITIONER Practice Questions (Page 7)
Part of the 4.0 Building models domain, which accounts for 19-27% of the CERTIFIED-DATA-SCIENCE-PRACTITIONER exam.
43questions here
9free pages
18concepts
19-27%of the exam
Questions 31–35
- 31
A healthcare provider wants to classify patient records into disease categories based on a mix of numerical and categorical features. The dataset has some missing values and the relationships between features and the target are complex and non-linear. The team needs a model that is robust to these issues and can provide feature importance. Which model should they choose?
Select an answer first - 32
A data scientist is selecting a model type for a binary classification problem with a large tabular dataset. Which model type is most appropriate for this task?
Select an answer first - 33
What is the primary goal of k-means clustering?
Select an answer first - 34
What is grid search in hyperparameter tuning?
Select an answer first - 35
A marketing team wants to segment customers into distinct groups based on their purchasing behavior and demographics. They do not have predefined categories and want to identify natural groupings in the data. Which model should they use?
Select an answer first
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