SALESFORCE SALESFORCE-AI-ASSOCIATE TEST PRACTICE - SALESFORCE-AI-ASSOCIATE RELIABLE EXAM TIPS

Salesforce Salesforce-AI-Associate Test Practice - Salesforce-AI-Associate Reliable Exam Tips

Salesforce Salesforce-AI-Associate Test Practice - Salesforce-AI-Associate Reliable Exam Tips

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Salesforce Salesforce-AI-Associate Exam Syllabus Topics:

TopicDetails
Topic 1
  • Data for AI: Questions about the importance of data quality and different elements or components of data quality are related to this topic.
Topic 2
  • AI Capabilities in CRM: Get familiar with the benefits of AI and capabilities of CRM.
Topic 3
  • AI Fundamentals: This topic discusses the major principles and applications of AI within Salesforce. It also focuses on different types of AI and their capabilities.
Topic 4
  • Ethical Considerations of AI: It delves into the ethical challenges of AI such as human bias in machine learning, lack of transparency, etc. The topic also explains how to apply Trusted AI Principles of Salesforce to given scenarios.

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Salesforce Certified AI Associate Exam Sample Questions (Q10-Q15):

NEW QUESTION # 10
What are the potential consequences of an organization suffering from poor data quality?

  • A. Low employee morale, stock devaluation, and inability to attract top talent
  • B. Revenue loss, poor customer service, and reputational damage
  • C. Technical debt, monolithic system architecture, and slow ETL throughput

Answer: B

Explanation:
The potential consequences of an organization suffering from poor data quality include revenue loss, poor customer service, and reputational damage. Poor data quality can lead to inaccurate analytics and decision- making, impacting customer interactions, marketing strategies, and financial forecasting. These issues ultimately affect customer satisfaction and could lead to financial losses and a damaged brand reputation.
Salesforce highlights the importance of maintaining high data quality for effective CRM and AI applications, offering various tools and best practices to enhance data integrity. For guidance on managing and improving data quality in Salesforce, see the Salesforce documentation on data quality at Salesforce Data Quality.


NEW QUESTION # 11
What is a potential source of bias in training data for AI models?

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

Answer: A

Explanation:
"A potential source of bias in training data for AI models is that the datais skewed toward a particular demographic or source. Skewed data means that the data is not balanced or representative of the target population or domain. Skewed data can introduce or exacerbate bias in AI models, as they may overfit or underfit the modelto a specific subset of data. For example, skewed data can lead to bias if the data is collected from a limited or biased demographic or source, such as a certain age group, gender, race, location, or platform."


NEW QUESTION # 12
What should be done to prevent bias from entering an AI system when training it?

  • A. Import diverse training data.
  • B. Use alternative assumptions.
  • C. Include Proxy variables.

Answer: A

Explanation:
"Using diverse training data is what should be done to prevent bias from entering an AI system when training it. Diverse training data means that the data covers a wide range of features and patterns that are relevant for the AI task. Diversetraining data can help prevent bias by ensuring that the AI system learns from a balanced and representative sample of the target population or domain. Diverse training data can also help improve the accuracy and generalization of the AI system by capturing more variations and scenarios in the data."


NEW QUESTION # 13
How does an organization benefit from using AI to personalize the shopping experience of online customers?

  • A. Customers are more likely to visit competitor sites that personalize their experience.
  • B. Customers are more likely to be satisfied with their shopping experience.
  • C. Customers are morelikely to share personal information with a site that personalizes their experience.

Answer: B

Explanation:
"An organization benefits from using AI to personalize the shopping experience of online customers by increasing customer satisfaction. AI can help provide customized and relevant product recommendations, offers, or content based on the customers' preferences, behavior, or needs. AI can also help create a more engaging and interactive shopping experience by using natural language processing (NLP) or computer vision techniques. Personalized shopping experiences can improve customer satisfaction by meeting their expectations, needs, and interests."


NEW QUESTION # 14
Which action introduces bias in the training data used for AI algorithms?

  • A. Using a large dataset that is computationally expensive
  • B. Using a dataset that underrepresents perspectives and populations
  • C. Using a dataset that represents diverse perspectives and populations

Answer: B

Explanation:
Introducing bias in training data for AI algorithms occurs when the dataset used underrepresents certain perspectives and populations. This type of bias can skew AI predictions, making the system less fair and accurate. For example, if a dataset predominantly contains information from one demographic group, the AI's performance may not generalize well to other groups, leading to biased or unfair outcomes. Salesforce discusses the impact of biased training data and ways to mitigate this in their AI ethics guidelines, which can be explored further in the Salesforce AI documentation on Responsible Creation of AI.


NEW QUESTION # 15
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