How is natural language processing (NLP) used in the context of AI capabilities?
A. To cleanse and prepare data for AI implementations
B. To interpret and understand programming language
C. To understand and generate human language - ✔️✔️Answer: C
What is a benefit of a diverse, balanced, and large dataset?
A. Training time
B. Data privacy
C. Model accuracy - ✔️✔️Answer: C
A healthcare company implements an algorithm to analyze patient data and assist in
medical diagnosis.
Which primary role does data Quality play In this AI application?
A. Enhanced accuracy and reliability of medical predictions and diagnoses
B. Ensured compatibility of AI algorithms with the system's Infrastructure
C. Reduced need for healthcare expertise in interpreting AI outouts - ✔️✔️Answer: A
What are some of the ethical challenges associated with AI development?
A. Potential for human bias in machine learning algorithms and the lack of transparency
in AI decision-making processes
B. Implicit transparency of AI systems, which makes It easy for users to understand and
trust their decisions
C. Inherent neutrality of AI systems, which eliminates any potential for human bias in
decision-making - ✔️✔️Answer: A
Cloud Kicks discovered multiple variations of state and country values in contact
records.
Which data quality dimension is affected by this issue?
A. Usage
B. Accuracy
C. Consistency - ✔️✔️Answer: C
What is an example of Salesforce's Trusted AI Principle of Inclusivity in practice?
A. Testing models with diverse datasets
B. Striving for model explain ability
C. Working with human rights experts - ✔️✔️Answer: A
Cloud Kicks wants to create a custom service analytics application to analyze cases in
Salesforce. The application should rely on accurate data to ensure efficient case
resolution.
Which data quality dimension Is essential for this custom application?
A. Consistency