What is the main focus of the Accountability principle in Salesforce's Trusted AI Principles?

A. Ensuring transparency in AI-driven recommendations and predictions

B. Taking responsibility for one’s actions toward customers, partners, and society

C. Safeguarding fundamental human rights and protecting sensitive data

What is a key challenge of human-AI collaboration in decision-making?

A. Leads to more informed and balanced decision-making

B. Creates a reliance on AI, potentially leading to less critical thinking and oversight

C. Reduces the need for human involvement in decision-making processes

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?

A. Survivorship

B. Societal

C. Confirmation

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

A. The data is collected in real time from source systems.

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

C. The data is skewed toward a particular demographic or source.

Which Einstein capability uses emails to create content for Knowledge articles?

A. Predict

B. Discover

C. Generate

What is an implication of user consent in regard to AI data privacy?

A. AI ensures complete data privacy by automatically obtaining user consent.

B. AI operates independently of user privacy and consent.

C. AI infringes on privacy when user consent is not obtained.

A marketing manager wants to use AI to better engage their customers.
Which functionality provides the best solution?

A. Bring Your Own Model

B. Journey Optimization

C. Einstein Engagement

Which best describes the difference between predictive AI and generative AI?

A. Predictive AI and generative AI have the same capabilities but differ in the type of input they receive; predictive AI receives raw data whereas generative AI receives natural language.

B. Predictive AI uses machine learning to classify or predict outputs from its input data whereas generative AI does not use machine learning to generate its output.

C. Predictive AI uses machine learning to classify or predict outputs from its input data whereas generative AI uses machine leaning to generate new and original output for a given input.

Which features of Einstein enhance sales efficiency and effectiveness?

A. Opportunity Scoring, Lead Scoring, Account Insights

B. Opportunity List View, Lead List View, Account List view

C. Opportunity Scoring, Opportunity List View, Opportunity Dashboard

What should organizations do to ensure data quality for their AI initiatives?

A. Prioritize model fine-tuning over data quality improvements.

B. Collect and curate high-quality data from reliable sources.

C. Rely on AI algorithms to automatically handle data quality issues.

What are the key components of the data quality standard?

A. Accuracy, Completeness, Consistency

B. Reviewing, Updating, Archiving

C. Naming, Formatting, Monitoring

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. Age

B. Duplication

C. Consistency

What is a benefit of data quality and transparency as it pertains to bias in generative AI?

A. Chances of bias are aggravated.

B. Chances of bias are removed.

C. Chances of bias are mitigated.

What is a key characteristic of machine learning in the context of AI capabilities?

A. Uses algorithms to learn from data and make decisions

B. Relies on preprogrammed rules to make decisions

C. Can perfectly mimic human intelligence and decision-making

What role does data quality play in the ethical use of AI applications?

A. High-quality data is essential for ensuring unbiased and fair AI decisions, promoting ethical use, and preventing discrimination.

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

C. High-quality data ensures the presence of demographic attributes required for personalized campaigns.

What is one way to achieve transparency in AI?

A. Allow users to give feedback regarding the inferences the AI makes about them.

B. Establish an ethical and unbiased culture amongst those involved.

C. Communicate AI goals and objectives with those involved prior to all interactions.

A consultant conducts a series of Consequence Scanning Workshops to support testing diverse datasets.
Which Salesforce Trusted AI Principle is being practiced?

A. Accountability

B. Inclusivity

C. Transparency

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

A. Predictive scoring, forecasting, recommendations

B. Einstein Bots, face recognition, recommendations

C. Predictive scoring, reporting, image classification

Which type of bias imposes a system's values on others?

A. Association

B. Automation

C. Societal

What is a possible outcome of poor data quality?

A. AI models maintain accuracy but have slower response times.

B. AI predictions become more focused and less robust.

C. Biases in data can be inadvertently learned and amplified by AI systems.

In the context of Salesforce's Trusted AI Principles, what does the principle of Responsibility primarily focus on?

A. Ensuring ethical use of AI

B. Outlining the technical specifications for AI integration

C. Providing a framework for data model accuracy

What are some key benefits of AI in improving customer experiences in CRM?

A. Streamlines case management by categorizing and tracking customer support cases, identifying topics, and summarizing case resolutions

B. Improves CRM security protocols, safeguarding sensitive customer data from potential breaches and threats

C. Fully automates the customer service experience, ensuring seamless automated interactions with customer

What is machine learning?

A. A data model used in Salesforce

B. AI that can grow its intelligence

C. AI that creates new content

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 picklist.
Which dimension of data quality is affected in this scenario?

A. Accuracy

B. Completeness

C. Consistency

Salesforce defines bias as using a person's immutable traits to classify them or market to them.
Which potentially sensitive attribute is an example of an immutable trait?

A. Email address

B. Nickname

C. Financial status

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. Reduced need for healthcare expertise in interpreting AI outputs

C. Ensured compatibility of AI algorithms with the system’s infrastructure

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

A. Consistency

B. Usage

C. Accuracy

What is a potential outcome of using poor-quality data in AI applications?

A. AI models may produce biased or erroneous results.

B. AI models become more interpretable.

C. AI model training becomes slower and less efficient.

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

A. Duplicate management

B. Trigger deletion of old records

C. Standardized field names

A sales manager wants to improve their processes using AI in Salesforce.
Which application of AI would be most beneficial?

A. Lead scoring and opportunity forecasting

B. Data modeling and management

C. Sales dashboards and reporting

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

A. Implicit transparency of AI systems, which makes it easy for users to understand and trust their decisions

B. Potential for human bias in machine learning algorithms and the lack of transparency in AI decision-making processes

C. Inherent neutrality of AI systems, which eliminates any potential for human bias in decision-making

Which data does Salesforce automatically exclude from Marketing Cloud Einstein engagement model training to mitigate bias and ethical risks?

A. Cryptographic

B. Geographic

C. Demographic

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?

A. Duplication

B. Consent

C. Usage

Cloud Kicks relies on data analysis to optimize its product recommendations; however, CK encounters a recurring issue of incomplete customer records, with missing contact information and incomplete purchase histories.
How will this incomplete data quality impact the company's operations?

A. The diversity of product recommendations is improved.

B. The response time for product recommendations is stalled.

C. The accuracy of product recommendations is hindered.

Cloud Kicks wants to use AI to enhance its sales processes and customer support.
Which capability should they use?

A. Sales Path and Automated Case Escalations

B. Einstein Lead Scoring and Case Classification

C. Dashboard of Current Leads and Cases

A financial institution plans a campaign for preapproved credit cards.
How should they implement Salesforce's Trusted AI Principle of Transparency?

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

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

C. Incorporate customer feedback into the model’s continuous training.

Cloud Kicks wants to implement AI features on its Salesforce Platform but has concerns about potential ethical and privacy challenges.
What should they consider doing to minimize potential AI bias?

A. Use demographic data to identify minority groups.

B. Integrate AI models that auto-correct biased data.

C. Implement Salesforce’s Trusted AI Principles.

Cloud Kicks wants to decrease the workload for its customer care agents by implementing a chatbot on its website that partially deflects incoming cases by answering frequently asked questions.
Which field of AI is most suitable for this scenario?

A. Natural language processing

B. Predictive analytics

C. Computer vision

What is a key benefit of effective interaction between humans and AI systems?

A. Leads to more informed and balanced decision-making

B. Alerts humans to the presence of biased data

C. Reduces the need for human involvement

Cloud Kicks is testing a new AI model.
Which approach aligns with Salesforce's Trusted AI Principle of Inclusivity?

A. Rely on a development team with uniform backgrounds to assess the potential societal implications of the model.

B. Test with diverse and representative datasets appropriate for how the model will be used.

C. Test only with data from a specific region or demographic to limit the risk of data leaks.

To avoid introducing unintended bias to an AI model, which type of data should be omitted?

A. Demographic

B. Transactional

C. Engagement

A system admin recognizes the need to put a data management strategy in place.
What is a key component of a data management strategy?

A. Naming Convention

B. Color Coding

C. Data Backup

How is natural language processing (NLP) used in the context of AI capabilities?

A. To understand and generate human language

B. To interpret and understand programming language

C. To cleanse and prepare data for AI implementations

Which statement exemplifies Salesforce's honesty guideline when training AI models?

A. Control bias, toxicity, and harmful content with embedded guardrails and guidance.

B. Ensure appropriate consent and transparency when using AI- generated responses.

C. Minimize the AI model’s carbon footprint and environmental impact during training.

In the context of Salesforce's Trusted AI Principles, what does the principle of Empowerment primarily aim to achieve?

A. Empower users of all skill levels to build AI applications with clicks, not code.

B. Empower users to solve challenging technical problems using neural networks.

C. Empower users to contribute to the growing body of knowledge of leading AI research.

A business analyst (BA) wants to improve business by enhancing their sales processes and customer support.
Which AI applications should the BA use to meet their needs?

A. Sales data cleansing and customer support data governance

B. Machine learning models and chatbot predictions

C. Lead scoring, opportunity forecasting, and case classification

What are predictive analytics, machine learning, natural language processing (NLP), and computer vision?

A. Different types of AI that can be applied in Salesforce

B. Different types of automation tools used in Salesforce

C. Different types of data models used in Salesforce

A Salesforce administrator creates a new field to capture an order's destination country.
Which field type should they use to ensure data quality?

A. Text

B. Number

C. Picklist

What can bias in AI algorithms in CRM lead to?

A. Ethical challenges in CRM systems

B. Advertising cost increases

C. Personalization and targeted marketing changes

Why is it critical to consider privacy concerns when dealing with AI and CRM data?

A. Ensures compliance with laws and regulations

B. Confirms the data is accessible to all users

C. Increases the volume of data collected