Salesforce-AI-Associate Free Practice Test

What is the role of Salesforce Trust AI principles in the context of CRM system?

1. A. Guiding ethical and responsible use of AI
2. B. Providing a framework for AI data model accuracy
3. C. Outlining the technical specifications for AI integration

Correct Answer: A
“The role of Salesforce Trust AI principles in the context of CRM systems is guiding ethical and responsible use of AI. Salesforce Trust AI principles are a set of guidelines and best practices for developing and using AI systems in a responsible and ethical way. The principles include Accountability, Fairness & Equality, Transparency & Explainability, Privacy & Security, Reliability & Safety, Inclusivity & Diversity, Empowerment & Education. The principles aim to ensure that AI systems are aligned with the values and interests of customers, partners, and society.”

What is a benefit of a diverse, balanced, and large dataset?

1. A. Training time
2. B. Data privacy
3. C. Model accuracy

Correct Answer: C
“Model accuracy is a benefit of a diverse, balanced, and large dataset. A diverse dataset can capture a variety of features and patterns that are relevant for the AI task. A balanced dataset can avoid overfitting or underfitting the model to a specific subset of data. A large dataset can provide enough information for the model to learn from and generalize well to new data.”

Cloud Kicks uses Einstein to generate predictions out is not seeing accurate results? What to a potential mason for this?

1. A. Poor data quality
2. B. The wrong product
3. C. Too much data

Correct Answer: A
“Poor data quality is a potential reason for not seeing accurate results from an AI model. Poor data quality means that the data is inaccurate, incomplete, inconsistent, irrelevant, or outdated for the AI task. Poor data quality can affect the performance and reliability of AI models, as they may not have enough or correct information to learn from or make accurate predictions.”

What is an example of Salesforce's Trusted AI Principle of Inclusivity in practice?

1. A. Testing models with diverse datasets
2. B. Striving for model explain ability
3. C. Working with human rights experts

Correct Answer: A
“An example of Salesforce’s Trusted AI Principle of Inclusivity in practice is testing models with diverse datasets. Inclusivity means that AI systems should be designed and developed with respect for diversity and inclusion of different perspectives, backgrounds, and experiences. Testing models with diverse datasets can help ensure that the models are fair, unbiased, and representative of the target population or domain.”

What are some of the ethical challenges associated with AI development?

1. A. Potential for human bias in machine learning algorithms and the lack of transparency in AI decision-making processes
2. B. Implicit transparency of AI systems, which makes It easy for users to understand andtrust their decisions
3. C. Inherent neutrality of AI systems, which eliminates any potential for human bias in decision-making

Correct Answer: A
“Some of the ethical challenges associated with AI development are the potential for human bias in machine learning algorithms and the lack of transparency in AI decision-making processes. Human bias can arise from the data used to train the models, the design choices made by the developers, or the interpretation of the results by the users. Lack of transparency can make it difficult to understand how and why AI systems make certain decisions, which can affect trust, accountability, and fairness.”