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Ai associate

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

The data skewed toward a particular demographic or source.

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

Minimize the Al model's carbon footprint and environmental impact during training.

What is the best method to safeguard customer data privacy?

Track customer data consent preferences.

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

Inclusivity

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

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

Cloud Kicks wants to evaluate its data quality to ensure accurate and up-to-date records.

Which type of records negatively impact data quality?

Duplicate

What is the significance of explainability of trusted AI systems?

Describes how Al models make decisions

Cloud Kicks wants to use Al to enhance its sales processes and customer support.

Which capability should they use?

Einstein Lead Scoring and Case Classification

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

Predictive scoring, forecasting, recommendations

A developer has a large amount of data, but it is scattered across different systems and is not standardized.

Which key data quality element should they focus on to ensure the effectivenes


the AI models?

Consistency

How does a data quality assessment impact business outcomes for companies using AI?

Provides a benchmark Al pridictions

Cloud Kicks' latest email campaign is struggling to attract new customers.

How can AI increase the company's customer email engagement?

Create personalized emails

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

Taking responsibility for ones actions toward customers, partners, and society

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?

Financial status

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

Al infringes on privacy whan user consent is not obtained.

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

Chances of bias are mitigated

A Salesforce administrator creates a new field to capture an order's destination country.

Which field type should they use to ensure data quality?

Picklist

Cloud Kicks wants to optimize its business operations by incorporating AI into its CRM. What should the company do first to prepare its data for use with AI?

Determine data availability.

Cloud Kicks discovered multiple variations of state and country values in contact records.

Which data quality dimension is affected by this issue?

Consistency

Cloud Kicks wants to use Einstein Prediction Builder to determine a customer's likelihood of buying specific products; however, data quality is a concern.

How can data quality be assessed quickly?

.

Leverage data quality apps from AppExchange.

What does the term "data completeness" refer to in the context of data quality?

The degree to which all requirend data points are present in the dataset

A sales manager wants to Improve their processes using Al in Salesforce.

Which application of AI would be most beneficial?

Lead scoring and opportunity forecasting

Cloud Kicks plans to use automated chat as its primary support channel.

Which Einstein feature should they use?

Bots

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 Al is most suitable for this scenario?

Natural language processing

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

Model accuracy

A business analyst (BA) is preparing a new use case for AI. They run a report to check for null values in the attributes they plan to use.

Which data quality component is the BA verifying by checking for null values?

Completeness

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

Testing models with diverse datasets

What is one technique to mitigate bias and ensure fairness in AΙ applications?

Ongoing auditing and monitoring of data that is used in Al applications

What is a sensitive variable that can lead to bias?

Gender

Which type of Al can enhance customer service agents' email responses by analyzing the written content of previous emails?

Natural language processing

Which best describes the difference between predictive AI and generative AI

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

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

Ensuring ethical use of Al

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

Creates a reliance on Al, potentially leading to less critical thinking and oversight

What are the potential consequences of an organization suffering from poor data quality?

Revenue loss, poor customer service, and reputational damage

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

Collect and curate high quality data from reliable sources.

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

Al models may produce biased or crrencous results

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

Different types of Al that can be applied in Salesforce

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

To understand and generate human language

A sales manager is looking to enhance the quality of lead data in their CRM ystem.

Which process will most likely help the team accomplish this goal?

Review and update missing lead information.

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

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

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?

Financial status

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

predictive Al uses machine learning to classify or predict outputs from its input data whereas generative Al uses machine learning to generate new and original output for a given input

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

Empower users of all skill level to build AI application with clicks, not code

How does an organization benefit from using Al to personalize the shopping experience of online customers?

Customers are likely to be satisfied with their shopping experience.

How does poor data quality affect predictive and generative AI models?

Creates inaccurate results

How does AI assist in lead qualification?

Scores leads based on customer data

A sales manager wants to use AI to help sales representatives log their calls quicker and more accurately.

Which functionality provides the best solution?

Auto-Generated Sales Tasks

How does AI within CRM help sales representatives better understand previous customer interactions?

Provides call summaries

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

Leads to more informed and balanced decision-making

Cloud Kicks relies on data analysis to optimize its product recommendations for customers.

How will incomplete data quality impact the company's recommendations?

The accuracy of the product

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

Demographic

Which AI tool is a web of connections, guided by weights and biases?

Neural networks

What is Salesforce's Trusted AI Principle of Transparency?

The clear and understandable explanation of Al decisions and actions

Cloud Kicks wants to evaluate the quality of its sales data.

Which first step should they take for the data quality assessment?

Identify business objectives.

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

Demographic

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

Cloud Kicks wants to develop a solution to predict customers product interests based on historical data. The company found that employees from one region and a text field to capture the product category, while employees from all other locations a picklist.

Which dimension of data quality is affected in this scenario?

Consistency

Cloud Kicks wants to use AI to enhance its sales processes and customer support.

Which capability should they use?

Einstein Lead Scoring and Case Classification

Cloud Kicks wants to evaluate its data quality to ensure accurate and up-to-date records.

Which type of records negatively impact data quality?

Duplicate

What is a societal implication of excluding ethics in AI development?

Harm to marginalized communities

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

Import diverse training data.

How does the "right of least privilege" reduce the risk of handling sensitive personal data?

By limiting how many people have access to data

A consultant conducts a series of Consequence Scanning Workshops to support testing diverse datasets.

Which Salesforce Trusted AI Principle is being practiced?

Inclusivity

Cloud Kicks prepares a dataset for an AI model and identifies some inconsistencies in the data.

What is the most appropriate action the company should take?

Investigate the data inconsistencies and apply data quality techniques.

A service leader wants to use Al to help customers resolve their issues quicker in a guided self-serve application.

Which Einstein functionality provides the best solution?

Bots

What is an example of ethical debt?

Launching an Al feature after discovering a harmful bias

How does a data quality assessment impact business outcomes for companies using AI?

Provides a benchmark for Al predictions

What should an organization do to enforce consistency across accounts for newly entered records?

Implement naming conventions or a predefined list of user-selectable values for organization wide records,

Cloud Kicks wants to improve the quality of its Al model's predictions with the use of a large amount of data.

Which data quality element should the company focus on?

Accuracy

Cloud Kicks wants to use Einstein Prediction Builder to determine a customer's likelihood of buying specific products; however, data quality is a concern.How can data quality be assessed quickly?

Leverage data quality apps from AppExchange.

A customer using Einstein Prediction Builder is confused about why a certain prediction was made.

Following Salesforce's Trusted AI Principle of Transparency, which customer information should be accessible on the Salesforce platform

An explanation of the prediction's rationale and a model card that describes how the model was created

. 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?

Lead scoring, Opportunity forecasting, and case classification

Which action should be taken to develop and implement trusted generative Al with Salesforce's safety guideline in mind?

Create guardrails that mitigate toxicity and protect PII.

An administrator at Cloud Kicks wants to ensure that a field is set up on the customer record so their preferred name can be captured whiCh Salesforce field type should the administrator use to accomplish this?

Text

What is a key consideration regarding data quality's role in AI implementations?

Training and fine-tuning Salesforce Al models

What is a possible outcome of poor data quality?

Al systems inadvertently learn and amplify biases.

Cloud Kicks is testing a new AI model.

Which approach aligns with Salesforce's Trusted AI Principle of Inclusivity?

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

Which action introduces bias in the training data used for Al algorithms?

Using a dataset that underrepresents perspectives and populations

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

AI infringes on privacy when user consent is not obtained.

What should an organization do to enforce consistency across accounts for newly entered records?

Implement naming conventions or a predefined list of user-selectable values for organization-wide records.

How does data quality impact the trustworthiness of AI-driven decisions?

High-quality data improves the reliability and credibility of Al-driven decisions.

Cloud Kicks wants to optimize its business operations by incorporating AI into its CRM.

What should the company do first to prepare its data for use with AI?

Remove biased data.

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