What is the main difference between agglomerative and divisive hierarchical clustering?

Agglomerative requires specifying k, while divisive does not

Agglomerative is for continuous data, while divisive is for categorical data

Agglomerative starts with individual points and merges them; divisive starts with one cluster and splits it

Agglomerative is faster than divisive

What does it mean to 'fine-tune' a pre-trained transformer model?

Adjusting the model's hyperparameters without training

Continuing training on a smaller, task-specific dataset with a lower learning rate

Freezing all layers and using the model as a feature extractor

Training the model from scratch on a new dataset

What is the purpose of gradient descent in machine learning?

To increase the size of the training dataset

To minimize the loss function by updating model parameters

To select the best features for the model

To find the optimal hyperparameters

What is the purpose of using XGBoost for classification?

To reduce the dimensionality of the data

To predict a continuous numeric value

To assign data points to predefined classes

CertNexusCertified Data Science Practitioner (CDSP)

Domain 4Objective 2

Objective 4.2 Train Models CERTIFIED-DATA-SCIENCE-PRACTITIONER Practice Questions (Page 1)

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 1–5

1foundation · easy
What is the main difference between agglomerative and divisive hierarchical clustering?
Select an answer first
2foundation · easy
What does it mean to 'fine-tune' a pre-trained transformer model?
Select an answer first
3foundation · easy
What is the purpose of gradient descent in machine learning?
Select an answer first
4application · easy
A bank wants to predict whether a loan applicant will default (yes/no) based on credit score, income, and loan amount. The target is binary, and the team needs a model that provides probability estimates for risk assessment. Which model should they use?
Select an answer first
5foundation · easy
What is the purpose of using XGBoost for classification?
Select an answer first

Finished these 5 questions?

Review the revealed explanations, or continue through the curriculum.

Next 5 questions →Back to CERTIFIED-DATA-SCIENCE-PRACTITIONER

Free Basic Practice is a study aid with revealable answers — not a scored exam. Examers.io is independent and not affiliated with or endorsed by CertNexus. “CERTIFIED-DATA-SCIENCE-PRACTITIONER” is a trademark of its owner, used for identification only.