What is the purpose of feature importance analysis in a machine learning model?

To visualize the data distribution of each feature

To determine which features have the most influence on the model's predictions

To increase the number of features in the dataset

To remove all features except one

Which of the following is a capability of the AIX360 toolkit?

Automatically selecting the best machine learning model

Providing both global and local explanations for models

Deploying models as web services

Cleaning and preprocessing raw data

A tech company is deploying a facial recognition model for security access. The model performs well overall but has higher error rates for certain demographic groups. The company must decide whether to deploy. An impact assessment reveals potential bias. Which action is most appropriate?

Ignore the impact assessment because it is not legally required.

Deploy the model but do not disclose the bias to avoid negative publicity.

Conduct a thorough impact assessment, document the bias, and either mitigate it or decide not to deploy until the bias is addressed.

Deploy the model immediately because overall accuracy is high.

What is the primary purpose of Google's What-If Tool?

To train machine learning models

To explore model behavior and analyze counterfactuals

Why is it important to document the rationale for model decisions, such as choosing one algorithm over another?

To help future stakeholders understand the context and trade-offs considered

To satisfy a legal requirement that all algorithms be compared

To allow the model to be retrained automatically

To prove that the chosen algorithm is always the best possible

CertNexusCertified Data Science Practitioner (CDSP)

Domain 7Objective 1

Objective 7.1 Report Findings CERTIFIED-DATA-SCIENCE-PRACTITIONER Practice Questions (Page 11)

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 51–55

51foundation · easy
What is the purpose of feature importance analysis in a machine learning model?
Select an answer first
52foundation · easy
Which of the following is a capability of the AIX360 toolkit?
Select an answer first
53expert · hard
A tech company is deploying a facial recognition model for security access. The model performs well overall but has higher error rates for certain demographic groups. The company must decide whether to deploy. An impact assessment reveals potential bias. Which action is most appropriate?
Select an answer first
54foundation · easy
What is the primary purpose of Google's What-If Tool?
Select an answer first
55foundation · easy
Why is it important to document the rationale for model decisions, such as choosing one algorithm over another?
Select an answer first

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