In a gain chart, what does the cumulative gain curve represent?

The training and validation loss over epochs

The distribution of feature importance scores

The model's accuracy at different thresholds

The percentage of positive cases captured as a function of the percentage of the population targeted

Why is model explainability important in regulated industries such as finance or healthcare?

To ensure the model is deployed on-premises

To comply with regulations that require explanations for automated decisions

To reduce the cost of model training

To increase the model's speed of prediction

What is a common use case for SHAP in model explanation?

Explaining individual predictions to understand why a specific decision was made

Deploying the model to a web server

Selecting the best machine learning algorithm

A city government is developing a model to allocate resources for public services. The team wants to ensure the model meets the needs of diverse communities, including those who may be underserved. Which approach is most aligned with participatory design?

Have only data scientists and city officials design the model based on available data.

Involve community representatives from various neighborhoods in the design and review process from the beginning.

Use a standard model from another city without modification.

Conduct a single public comment period after the model is built.

CertNexusCertified Data Science Practitioner (CDSP)

Domain 7Objective 1

Objective 7.1 Report Findings CERTIFIED-DATA-SCIENCE-PRACTITIONER Practice Questions (Page 2)

Part of the 7.0 Communication findings domain, which accounts for 4-7% of the CERTIFIED-DATA-SCIENCE-PRACTITIONER exam.

64questions here

13free pages

31concepts

4-7%of the exam

31 Concepts in This Objective

POC Web App Implementation
Web Frameworks (Flask, Django)
Basic HTML
CSS
Deriving Insights from Findings
Feature Importance Analysis
Model Results Presentation
Lift and Gain Charts
Model Transparency and Explainability
Intrinsic Explainable Methods
Post Hoc Explainable Methods
Visualization for Explanation
Attention Mechanisms
Avoiding Black-Box Techniques
XAI Frameworks and Tools
SHAP
LIME
ELI5
What-If Tool
AIX360
Skater
Model Lifecycle Documentation
ML Design and Workflow
Code Comments
Data Dictionary
Model Cards
Impact Assessments
Stakeholder Analysis
User Testing
Feedback Loops
Participatory Design

Questions 6–10

6foundation · easy
In a gain chart, what does the cumulative gain curve represent?
Select an answer first
7foundation · easy
Why is model explainability important in regulated industries such as finance or healthcare?
Select an answer first
8foundation · easy
What is a common use case for SHAP in model explanation?
Select an answer first
9foundation · easy
Which CSS property is used to change the background color of an HTML element?
Select an answer first
10application · medium
A city government is developing a model to allocate resources for public services. The team wants to ensure the model meets the needs of diverse communities, including those who may be underserved. Which approach is most aligned with participatory design?
Select an answer first

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