SALESFORCE-AI-ASSOCIATE Exam Details

  • Exam Code
    :SALESFORCE-AI-ASSOCIATE
  • Exam Name
    :Salesforce Certified AI Associate
  • Certification
    :Salesforce Certifications
  • Vendor
    :Salesforce
  • Total Questions
    :101 Q&As
  • Last Updated
    :Jan 22, 2026

Salesforce SALESFORCE-AI-ASSOCIATE Online Questions & Answers

  • Question 1:

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

    Which data quality element should the company focus on?

    A. Accuracy
    B. Location
    C. Volume

  • Question 2:

    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. Confirmation
    B. Survivorship
    C. Societal

  • Question 3:

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

    A. The data is collected in area time from sources systems.
    B. The data is skewed toward is particular demographic or source.
    C. The data is collected from a diverse range of sources and demographics.

  • Question 4:

    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?

    A. An explanation of how Prediction Builder works and a link to Salesforce's Trusted AI Principles
    B. An explanation of the prediction's rationale and a model card that describes how the model was created
    C. A marketing article of the product that clearly outlines the oroduct's capabilities and features

  • Question 5:

    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?

    A. Number of variables ipn the dataset
    B. Size of the dataset
    C. Age of the dataset

  • Question 6:

    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?

    A. Ethical AI Prediction Maturity Model
    B. Ethical AI Process Maturity Model
    C. Ethical AI practice Maturity Model

  • Question 7:

    What is the rile of data quality in achieving AI business Objectives?

    A. Data quality is unnecessary because AI can work with all data types.
    B. Data quality is required to create accurate AI data insights.
    C. Data quality is important for maintain Ai data storage limits

  • Question 8:

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

    A. High-quality data is essential for ensuring unbased and for fair AI decisions, promoting ethical use, and preventing discrimi...
    B. High-quality data ensures the process of demographic attributes requires for personalized campaigns.
    C. Low-quality data reduces the risk of unintended bias as the data is not overfitted to demographic groups.

  • Question 9:

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

    A. Merge all duplicate accounts into a single record when duplicate entries are detected.
    B. Input the data exactly as it appears from the source, such as the company's website or social media,
    C. Implement naming conventions or a predefined list of user-selectable values for organization-wide records.

  • Question 10:

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

    A. Faster and cheaper development
    B. More innovation and creativity
    C. Harm to marginalized communities

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