Skip to Content

Learn how to improve model accuracy with diverse, balanced, and large dataset with this guide. Find out what these terms mean, why they are important, and how they affect the AI model performance. Question What is a benefit of a diverse, balanced, and large dataset? A. Training time B. Data privacy C. Model accuracy Answer …

Read More about Salesforce AI Associate: How to Improve Model Accuracy with Diverse, Balanced, and Large Dataset

Learn how AI enhances CRM with predictive scoring, forecasting, and recommendations with this guide. Find out what these examples are, how they work, and what benefits they offer. Question What are the three commonly used examples of AI in CRM? A. Predictive scoring, reporting, Image classification B. Predictive scoring, forecasting, recommendations C. Einstein Bots, face …

Read More about Salesforce AI Associate: How AI Enhances CRM with Predictive Scoring, Forecasting, and Recommendations

Learn how data quality impacts AI applications in healthcare with this guide. Find out what data quality is, why it is important, and how it affects the accuracy and reliability of medical predictions and diagnoses. Question A healthcare company implements an algorithm to analyze patient data and assist in medical diagnosis. Which primary role does …

Read More about Salesforce AI Associate: How Data Quality Impacts AI Applications in Healthcare

Learn how to address ethical challenges in AI development with this guide. Find out what ethical challenges are, such as human bias and transparency, and how to overcome them using ethical AI principles and practices. Question What are some of the ethical challenges associated with AI development? A. Potential for human bias in machine learning …

Read More about Salesforce AI Associate: How to Address Ethical Challenges in AI Development

Learn how to improve data consistency for contact records with this guide. Find out what data consistency is, why it is important, and how to achieve it using data cleansing and validation techniques. Question Cloud Kicks discovered multiple variations of state and country values in contact records. Which data quality dimension is affected by this …

Read More about Salesforce AI Associate: How to Improve Data Consistency for Contact Records

Learn how natural language processing is used in AI capabilities with this guide. Find out what natural language processing is, how it works, and what AI capabilities it can enable. Question How is natural language processing (NLP) used in the context of AI capabilities? A. To cleanse and prepare data for AI implementations B. To …

Read More about Salesforce AI Associate: How Natural Language Processing is Used in AI Capabilities

Learn how to test models with diverse datasets for inclusive AI with this guide. Find out why diversity is important, how to collect and curate diverse datasets, and how to evaluate model performance and fairness. Question What is an example of Salesforce’s Trusted AI Principle of Inclusivity in practice? A. Testing models with diverse datasets …

Read More about Salesforce AI Associate: How to Test Models with Diverse Datasets for Inclusive AI

Learn how to ensure data quality for custom service analytics application with this guide. Find out what data quality dimensions are, and why age is an essential dimension for analyzing cases in Salesforce. Question Cloud Kicks wants to create a custom service analytics application to analyze cases in Salesforce. The application should rely on accurate …

Read More about Salesforce AI Associate: How to Ensure Data Quality for Custom Service Analytics Application

Learn how to ensure data quality for AI initiatives with this guide. Find out why data quality is important, what data quality characteristics are, and how to collect and curate high-quality data from reliable sources. Question What should organizations do to ensure data quality for their AI initiatives? A. Collect and curate high-quality data from …

Read More about Salesforce AI Associate: How to Ensure Data Quality for AI Initiatives

Learn how to use Einstein Generate to create content for Knowledge articles with this guide. Find out how Einstein Generate can analyze emails and use natural language generation to create draft articles. Question Which Einstein capacity uses emails to create content for Knowledge articles? A. Generate B. Discover C. Predict Answer A. Generate Explanation The …

Read More about Salesforce AI Associate: How to Use Einstein Generate to Create Content for Knowledge Articles

Learn how to select a suitable dataset for training an AI model in Salesforce with this guide. Find out what factors to consider during selection, such as the age, size, and number of variables of the dataset. Question A developer is tasked with selecting a suitable dataset for training an AI model in Salesforce to …

Read More about Salesforce AI Associate: How to Select a Suitable Dataset for Training an AI Model in Salesforce

Learn how Salesforce Trust AI principles guide ethical and responsible use of AI in CRM systems. Find out what the four principles are and how they help to create trustworthy and beneficial AI solutions. Question What is the role of Salesforce Trust AI principles in the context of CRM system? A. Guiding ethical and responsible …

Read More about Salesforce AI Associate: How Salesforce Trust AI Principles Guide Ethical and Responsible AI Use

Learn how to avoid confirmation bias in product recommendation features with this guide. Find out what confirmation bias is, how it affects product recommendations, and how to overcome it. Question 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 …

Read More about Salesforce AI Associate: How to Avoid Confirmation Bias in Product Recommendation Features

Learn how Salesforce empowers users of all skill levels to build trusted AI applications with clicks, not code. Find out what the principle of Empowerment is and how it guides the development and use of AI solutions. Question In the context of Salesforce’s Trusted AI Principles what does the principle of Empowerment primarily aim to …

Read More about Salesforce AI Associate: How Salesforce Empowers Users to Build Trusted AI Applications

Learn how to assess data quality for Einstein Prediction Builder with this guide. Find out how building reports can help you explore the data and identify any issues or anomalies. Question Cloud Kicks wants to use Einstein Prediction Builder to determine a customer’s likelihood of buying specific products; however, data quality is a … How …

Read More about Salesforce AI Associate: How to Assess Data Quality for Einstein Prediction Builder

Explore how Salesforce’s Ethical AI Process Maturity Model empowers Cloud technical teams to build trusted AI solutions. Elevate your AI development processes for ethical and reliable outcomes. Question 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 …

Read More about Salesforce AI Associate: Enhancing AI Trust: Salesforce’s Ethical AI Process Maturity Model for Cloud Development

Learn how to use validation rules in Salesforce to ensure data quality with this guide. Find out how validation rules can help you define data entry criteria and prevent incomplete or inaccurate records. Question A data quality expert at Cloud Kicks want to ensure that each new contact contains at least an email address or …

Read More about Salesforce AI Associate: How to Use Validation Rules in Salesforce to Ensure Data Quality

Learn how to improve data quality for better product recommendations with this guide. Find out how incomplete data can impact your business operations and how to avoid common data quality issues. Question Cloud Kicks relies on data analysis to optimize its product recommendation; however, CK encounters a recurring Issue of Incomplete customer records, with missing …

Read More about Salesforce AI Associate: How to Improve Data Quality for Better Product Recommendations

Salesforce removes geographic information when training Einstein models to address bias and ethics. Learn how this exclusion helps build more responsible artificial intelligence. Question Which data does Salesforce automatically exclude from marketing Cloud Einstein engagement model training to mitigate bias and ethical concerns? A. Geographic B. Geographic C. Cryptographic Answer B. Geographic Explanation Demographic data …

Read More about Salesforce AI Associate: How Salesforce Excludes Geographic Data from Engagement Model Training

Learn how natural language processing (NLP) can help you implement a chatbot on your website that partially deflects incoming cases by answering frequency asked questions with Salesforce. Question 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 frequency …

Read More about Salesforce AI Associate: How to use NLP for chatbot case deflection

Learn why reliability is an essential data quality dimension for AI models to predict the demand for shoes using historical data and Salesforce. Question Cloud Kicks wants to use an AI mode to predict the demand for shoes using historical data on sales and regional characteristics. What is an essential data quality dimension to achieve …

Read More about Salesforce AI Associate: How to use reliable data for AI demand forecasting

Learn how to use Einstein features such as Opportunity Scoring, Lead Scoring, and Account Insights to improve sales efficiency and effectiveness. Question Which features of Einstein enhance sales efficiency and effectiveness? A. Opportunity List View, Lead List View, Account List view B. Opportunity Scoring, Opportunity List View, Opportunity Dashboard C. Opportunity Scoring, Lead Scoring, Account …

Read More about Salesforce AI Associate: How to Use Einstein Features to Boost Sales Efficiency and Effectiveness

Learn how to track customer data consent preferences in Salesforce to protect customer data privacy and comply with regulations. Question What is the best method to safeguard customer data privacy? A. Automatically anonymize all customer data. B. Track customer data consent preferences. C. Archive customer data on a recurring schedule. Answer B. Track customer data …

Read More about Salesforce AI Associate: How to Safeguard Customer Data Privacy?

Learn how to use the duplicate management feature in Salesforce to prevent and merge duplicate records. Question 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 Answer …

Read More about Salesforce AI Associate: How to Remove Duplicate Records in Salesforce

Learn how data quality, which is a measure of how well the data meets the requirements and expectations of the users and the systems that use it, impacts the trustworthiness of AI-driven decisions, which are decisions generated by artificial intelligence systems, such as machine learning and deep learning models. Question How does data quality impact …

Read More about Salesforce AI Associate: How Data Quality Impacts the Trustworthiness of AI-Driven Decisions

Explore the distinctions between predictive AI and generative AI. Learn how predictive AI leverages machine learning for output prediction, while generative AI takes a different approach. Enhance your understanding of AI fundamentals with Salesforce Certified AI Associate expertise. Question Which best describes the different between predictive AI and generative AI? A. Predictive new and original …

Read More about Salesforce AI Associate: Decoding Predictive AI vs. Generative AI: Understanding the Differences

Explore how Salesforce defines bias and learn about immutable traits, with a focus on financial status as a key example. Enhance your knowledge of AI ethics with Salesforce Certified AI Associate insights. Question Salesforce defines bias as using a person’s Immutable traits to classify them or market to them. Which potentially sensitive attribute is an …

Read More about Salesforce AI Associate: Immutable Traits and Potentially Sensitive Attributes

Learn how AI can help improve customer experiences in CRM by streamlining case management, which is the process of handling customer service requests, issues, or complaints, and how it can benefit both customers and agents. Question What are some key benefits of AI in improving customer experiences in CRM? A. Improves CRM security protocols, safeguarding …

Read More about Salesforce AI Associate: How AI Streamlines Case Management in CRM

Learn how AI can help online retailers provide personalized shopping experiences for their customers by analyzing their data, preferences, and behavior, and how it can increase customer satisfaction, loyalty, engagement, sales, and retention. Question How does an organization benefit from using AI to personalize the shopping experience of online customers? A. Customers are more likely …

Read More about Salesforce AI Associate: How AI Personalization Can Benefit Online Retailers and Customers

Learn how to test AI models with diverse and representative datasets, which is an approach that aligns with Salesforce’s Trusted AI Principle of Inclusivity, and how it can help ensure that AI models are fair, accurate, and beneficial for all. Question Cloud Kicks is testing a new AI model. Which approach aligns with Salesforce’s Trusted …

Read More about Salesforce AI Associate: How to Test AI Models with Diverse and Representative Datasets

Learn how to minimize AI bias, which is a type of error or deviation from the truth that affects the data, algorithms, or applications of AI systems, and how to implement Salesforce’s Trusted AI Principles, which are a set of guidelines that help develop and use AI systems that are responsible, ethical, and beneficial for …

Read More about Salesforce AI Associate: How to Minimize AI Bias with Salesforce’s Trusted AI Principles

Learn what is accountability, one of the Salesforce Trusted AI Principles that guides the development and use of AI systems that are responsible, ethical, and beneficial for all, and how it involves taking responsibility for one’s actions toward customers, partners, and society. Question What is the main focus of the Accountability principle in Salesforce’s Trusted …

Read More about Salesforce AI Associate: What is Accountability in Salesforce’s Trusted AI Principles?

Learn how to use picklist field type to capture an order’s destination country, and how it can ensure data quality by limiting, standardizing, and simplifying the data input. Question 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. …

Read More about Salesforce AI Associate: How to Use Picklist Field Type to Ensure Data Quality in Salesforce

Learn how effective interaction between humans and AI systems can enhance the cognitive abilities and performance of both parties, and lead to more informed and balanced decision making. Question 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 …

Read More about Salesforce AI Associate: How Effective Interaction Between Humans and AI Systems Benefits Decision Making

Learn how to use AI applications such as lead scoring, opportunity forecasting, and case classification to enhance your sales processes and customer relationships, and how they can benefit your business. Question A business analyst (BA) wants to improve business by enhancing their sales processes and customer. Which AI application should the BA use to meet …

Read More about Salesforce AI Associate: How to Use AI to Improve Sales Processes and Customer Relationships

Learn how Consequence Scanning, a framework that helps teams examine the impacts of their products or services on society, supports the principle of inclusivity in AI, which involves ensuring that AI systems respect and value human diversity. Question A consultant conducts a series of Consequence Scanning workshops to support testing diverse datasets. Which Salesforce Trusted …

Read More about Salesforce AI Associate: How Consequence Scanning Supports Inclusivity in AI