Salesforce AI Associate Exam Study Notes
48 Questions
0 Views

Choose a study mode

Play Quiz
Study Flashcards
Spaced Repetition
Chat to lesson

Podcast

Play an AI-generated podcast conversation about this lesson

Questions and Answers

Which data quality dimension is primarily affected by variations in state and country values in contact records?

  • Usage
  • Accuracy
  • Reliability
  • Consistency (correct)

    • What is the main function of natural language processing (NLP) in AI systems?

  • To cleanse and prepare data for AI applications
  • To enhance visual recognition capabilities
  • To translate programming languages
  • To understand and generate human language (correct)

    • What practical action exemplifies Salesforce's Trusted AI Principle of Inclusivity?

  • Testing models with diverse datasets (correct)
  • Implementing algorithms for bias detection
  • Creating a standard model for all applications
  • Conducting workshops on ethical AI

    • How does the lack of transparency in AI systems impact user perception?

    <p>It can lead to confusion and mistrust</p> Signup and view all the answers

    Which of the following is NOT a consequence of inconsistent data in AI systems?

    <p>Improved data quality</p> Signup and view all the answers

    What role does NLP play in analyzing social media data?

    <p>Understanding sentiment and extracting valuable insights</p> Signup and view all the answers

    What aspect of data quality does consistency ensure among records?

    <p>The uniformity of data values</p> Signup and view all the answers

    Why is it essential for AI systems to include diverse datasets during model testing?

    <p>To ensure inclusivity and represent different perspectives</p> Signup and view all the answers

    Why is the size of the dataset important in developing an AI model?

    <p>It affects the feasibility and quality of the AI model.</p> Signup and view all the answers

    What defines a data model in the context of machine learning?

    <p>An abstraction of real-world phenomena using algorithms.</p> Signup and view all the answers

    What Einstein feature is best suited for automating customer service interactions?

    <p>Bots</p> Signup and view all the answers

    Which of the following is NOT a reason to consider dataset size when developing AI?

    <p>It affects the aesthetic design of the application.</p> Signup and view all the answers

    What is one of the roles of bots in customer service applications?

    <p>To help streamline processes based on customer intent.</p> Signup and view all the answers

    Why is it important to ensure compliance with privacy laws when using AI in CRM data?

    <p>To avoid legal penalties and protect customer data.</p> Signup and view all the answers

    What technique do bots utilize to interact with customers effectively?

    <p>Natural Language Processing and Understanding.</p> Signup and view all the answers

    What aspect of the AI model does the dataset size influence?

    <p>The model's ability to generalize to new data.</p> Signup and view all the answers

    What is a significant ethical challenge in CRM systems related to AI algorithms?

    <p>Bias leading to unfair treatment of certain groups</p> Signup and view all the answers

    Which situation exemplifies ethical debt in AI development?

    <p>Launching an AI feature despite knowing it has harmful bias</p> Signup and view all the answers

    What principle is being upheld when conducting workshops to test diverse datasets in AI?

    <p>Inclusivity of diverse perspectives</p> Signup and view all the answers

    What negative consequence might arise from biases in AI algorithms in CRM systems?

    <p>Harmful predictions based on identity</p> Signup and view all the answers

    Which of the following actions does NOT contribute to ethical debt in AI?

    <p>Proactively retraining an AI model for fairness</p> Signup and view all the answers

    Which AI concept is at risk when algorithms produce biased outcomes?

    <p>User satisfaction and trust</p> Signup and view all the answers

    What is demographic data primarily used to describe?

    <p>The characteristics of a population or group</p> Signup and view all the answers

    What is the potential outcome of accumulating ethical debt in AI systems?

    <p>Negative consequences for users and society</p> Signup and view all the answers

    Why does Salesforce exclude demographic data from its AI training?

    <p>To mitigate bias and ethical concerns</p> Signup and view all the answers

    Which of the following best describes the principle of inclusivity in AI systems?

    <p>Ensuring diverse perspectives are integrated into AI design</p> Signup and view all the answers

    How does a data quality assessment affect AI predictions?

    <p>It provides a benchmark for AI predictions</p> Signup and view all the answers

    What is a potential negative outcome of relying heavily on AI in decision-making?

    <p>Leads to less critical thinking and oversight</p> Signup and view all the answers

    Which of the following dimensions is NOT typically evaluated in a data quality assessment?

    <p>Cultural impact</p> Signup and view all the answers

    Which factor is essential for ensuring that AI predictions are valid?

    <p>Ensuring the data reflects true conditions</p> Signup and view all the answers

    What aspect of AI systems does demographic data potentially introduce?

    <p>Bias based on identity or attributes</p> Signup and view all the answers

    What is the main goal of evaluating data quality for AI applications?

    <p>To ensure data is high quality and reliable</p> Signup and view all the answers

    Which type of AI relies on existing data to make predictions or recommendations?

    <p>Predictive AI</p> Signup and view all the answers

    What is a significant consequence of societal bias in AI systems?

    <p>It imposes a system's cultural values on others.</p> Signup and view all the answers

    How does data quality impact AI systems?

    <p>It is critical for creating accurate insights.</p> Signup and view all the answers

    Which situation exemplifies generative AI?

    <p>Creating original music compositions.</p> Signup and view all the answers

    What is the definition of data quality in the context of AI?

    <p>The consistency, accuracy, and relevance of data for AI tasks.</p> Signup and view all the answers

    What can be a potential outcome of using low-quality data in AI applications?

    <p>Faulty insights and erroneous decision-making.</p> Signup and view all the answers

    Which AI type generates new content rather than predicting based on existing data?

    <p>Generative AI</p> Signup and view all the answers

    What type of bias may affect how different cultures are perceived by AI systems?

    <p>Societal bias</p> Signup and view all the answers

    Which application of AI would most enhance the effectiveness of a sales manager in Salesforce?

    <p>Lead scoring and opportunity forecasting</p> Signup and view all the answers

    How do call summaries generated by AI improve sales representatives' understanding of customer interactions?

    <p>They provide key insights and action items from past conversations</p> Signup and view all the answers

    What is the most significant benefit of having high-quality data in relation to customer relationships?

    <p>Improved customer trust and satisfaction</p> Signup and view all the answers

    Which of the following is a key feature of AI that supports sales managers in forecasting opportunities?

    <p>Historical data analysis for sales predictions</p> Signup and view all the answers

    What role does natural language processing (NLP) play in the context of AI and CRM?

    <p>It generates call summaries from sales conversations</p> Signup and view all the answers

    Which of the following outcomes is least likely to result from using AI for lead scoring?

    <p>Reduction in overall sales efficiency</p> Signup and view all the answers

    What aspect of customer data significantly contributes to improved relationships?

    <p>Accuracy and relevance of the data used</p> Signup and view all the answers

    Which of the following features would typically NOT fall under the benefits of AI with CRM?

    <p>Customizing product features based on user feedback</p> Signup and view all the answers

    Study Notes

    Salesforce-AI-Associate Exam Study Notes

    • This document is a set of questions and answers for the Salesforce-AI-Associate exam, version 4.0.
    • The exam covers 76 questions.
    • The document provides questions on various topics, including data quality, Al in CRM, ethical considerations in Al, and Salesforce's Trusted Al principles.
    • There are questions on topics such as model accuracy, data quality, Al in a CRM context, and ethical challenges associated with Al development.
    • Understanding data quality dimensions such as consistency, accuracy, and completeness is important for Al applications.
    • There are questions relating to the importance of data quality for Al applications in areas like customer service and product recommendations.
    • The role of data quality in ensuring accurate and reliable Al predictions is emphasized.
    • Questions cover the importance of appropriate dataset usage for bias mitigation and model accuracy.
    • There are questions about various Al functionalities in Salesforce (e.g., Einstein Engagement, Prediction Builder).
    • Questions explore how various Al applications can be implemented within a business context, such as Cloud Kicks optimizing its operations or improving customer experience.
    • Ethical challenges associated with Al development, such as bias in algorithms and lack of transparency, are scrutinized.
    • The document emphasizes the importance of Salesforce's Trusted Al principles, including Inclusivity, Transparency, and Accountability, for developing ethical Al solutions.
    • There are several questions specific to different aspects of data quality and their impact on Al system performance and reliability.
    • This document highlights the importance of consistent data structures and formats for proper Al function.
    • Data quality challenges, such as inconsistent data formats/values, are discussed as they can negatively affect Al application development outcomes.
    • The exam emphasizes the importance of proper data preparation in creating good Al applications.
    • There are questions for data quality in the context of Al implementation and data management in Salesforce.
    • The role of data quality in ensuring that Al models can correctly analyze customer data is emphasized.
    • The document emphasizes the importance of using data quality apps to ensure robust and reliable Al performance.
    • This information is important for understanding essential data considerations in Al implementation efforts.

    Studying That Suits You

    Use AI to generate personalized quizzes and flashcards to suit your learning preferences.

    Quiz Team

    Related Documents

    Salesforce Certified AI Associate Exam PDF

    Description

    Prepare for the Salesforce AI Associate Exam with this comprehensive set of study questions and answers, focusing on key topics such as data quality, AI in CRM, and ethical considerations. This document covers essential concepts, including model accuracy and the implications of data quality for AI applications, ensuring you are well-equipped for the exam.

    More Like This

    Use Quizgecko on...
    Browser
    Open
    Browser
    Browser