[2023] Salesforce-AI-Associate Answers Salesforce-AI-Associate Free Demo Are Based On The Real Exam [Q24-Q44]

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[2023] Salesforce-AI-Associate Answers Salesforce-AI-Associate Free Demo Are Based On The Real Exam

Salesforce-AI-Associate [Nov-2023 Newly Released] Exam Questions For You To Pass

Salesforce Salesforce-AI-Associate Exam Syllabus Topics:

Topic	Details
Topic 1	Describe the importance of data quality Explain the basic principles and applications of AI within Salesforce
Topic 2	AI Capabilities in CRM Ethical Considerations of AI AI Fundamentals
Topic 3	Identify CRM AI capabilities Differentiate between the types of AI and their capabilities
Topic 4	Apply Salesforce’s Trusted AI Principles to given scenarios Describe the benefits of AI as they apply to CRM
Topic 5	Describe the ethical challenges of AI Describe the elements components of data quality

NEW QUESTION 24
What role does data quality play in the ethical us of AI applications?

High-quality data is essential for ensuring unbased and for fair AI decisions, promoting ethical use, and preventing discrimi…

High-quality data ensures the process of demographic attributes requires for personalized campaigns.

Low-quality data reduces the risk of unintended bias as the data is not overfitted to demographic groups.

NEW QUESTION 25
What should be done to prevent bias from entering an AI system when training it?

Use alternative assumptions.

Import diverse training data.

Include Proxy variables.

NEW QUESTION 26
What is the key difference between generative and predictive AI?

Generative AI creates new content based on existing data and predictive AI analyzes existing data.

Generative AI finds content similar to existing data and predictive AI analyzes existing data.

Generative AI analyzes existing data and predictive AI creates new content based on existing data.

NEW QUESTION 27
Cloud Kicks discovered multiple variations of state and country values in contact records.
Which data quality dimension is affected by this issue?

Usage

Accuracy

Consistency

NEW QUESTION 28
The Cloud technical team is assessing the effectiveness of their AI development processes?
Which established Salesforce Ethical Maturity Model should the team use to guide the development of trusted AI solution?

Ethical AI Prediction Maturity Model

Ethical AI Process Maturity Model

Ethical AI practice Maturity Model

NEW QUESTION 29
What is an example of ethical debt?

Violating a data privacy law and falling to pay fines

Launching an AI feature after discovering a harmful bias

Delaying an AI product launch to retrain an AI data model

NEW QUESTION 30
Cloud Kicks learns of complaints from customers who are receiving too many sales calls and emails.
Which data quality dimension should be assessed to reduce these communication Inefficiencies?

Duplication

Usage

Consent

NEW QUESTION 31
What are the key components of the data quality standard?

Reviewing, Updating, Archiving

Naming, formatting, Monitoring

Accuracy, Completeness, Consistency

NEW QUESTION 32
Cloud Kicks wants to ensure that multiple records for the same customer are removed in Salesforce.
Which feature should be used to accomplish this?

Duplicate management

Trigger deletion of old records

Standardized field names

NEW QUESTION 33
What is a potential source of bias in training data for AI models?

The data is collected in area time from sources systems.

The data is skewed toward is particular demographic or source.

The data is collected from a diverse range of sources and demographics.

NEW QUESTION 34
Which type of bias results from data being labeled according to stereotypes?

Association

Societal

Interaction

NEW QUESTION 35
Cloud Kicks implements a new product recommendation feature for its shoppers that recommends shoes of a given color to display to customers based on the color of the products from their purchase history.
Which type of bias is most likely to be encountered in this scenario?

Confirmation

Survivorship

Societal

NEW QUESTION 36
A financial institution plans a campaign for preapproved credit cards?
How should they implement Salesforce’s Trusted AI Principle of Transparency?

Communicate how risk factors such as credit score can impact customer eligibility.

Flag sensitive variables and their proxies to prevent discriminatory lending practices.

Incorporate customer feedback into the model’s continuous training.

NEW QUESTION 37
How does a data quality assessment impact business outcome for companies using AI?

Improves the speed of AI recommendations

Accelerates the delivery of new AI solutions

Provides a benchmark for AI predictions

NEW QUESTION 38
What are the three commonly used examples of AI in CRM?

Predictive scoring, reporting, Image classification

Predictive scoring, forecasting, recommendations

Einstein Bots, face recognition, recommendations

NEW QUESTION 39
Cloud Kicks wants to use AI to enhance its sales processes and customer support.
Which capacity should they use?

Dashboard of Current Leads and Cases

Sales path and Automaton Case Escalations

Einstein Lead Scoring and Case Classification

NEW QUESTION 40
Cloud Kicks wants to develop a solution to predict customers product interests based on historical data. The company found that employees from one region use a text field to capture the product category, while employees from all other locations use a plckllst.
Which data quality dimension is affected in this scenario?

Completeness

Accuracy

Consistency

NEW QUESTION 41
A developer is tasked with selecting a suitable dataset for training an AI model in Salesforce to accurately predict current customer behavior.
What Is a crucial factor that the developer should consider during selection?

Number of variables ipn the dataset

Size of the dataset

Age of the dataset

NEW QUESTION 42
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?

Consistency

Duplication

Age

NEW QUESTION 43
What is the role of Salesforce Trust AI principles in the context of CRM system?

Guiding ethical and responsible use of AI

Providing a framework for AI data model accuracy

Outlining the technical specifications for AI integration

NEW QUESTION 44
What is a potential outcome of using poor-quality data in AI application?

AI model training becomes slower and less efficient

AI models may produce biased or erroneous results.

AI models become more interpretable