2025 AUTHORITATIVE SALESFORCE-AI-ASSOCIATE TEST CRAM PDF | SALESFORCE CERTIFIED AI ASSOCIATE EXAM 100% FREE LATEST TEST LABS

2025 Authoritative Salesforce-AI-Associate Test Cram Pdf | Salesforce Certified AI Associate Exam 100% Free Latest Test Labs

2025 Authoritative Salesforce-AI-Associate Test Cram Pdf | Salesforce Certified AI Associate Exam 100% Free Latest Test Labs

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Salesforce Certified AI Associate Exam Sample Questions (Q75-Q80):

NEW QUESTION # 75
What are some key benefits of AI in improving customer experiences in CRM?

  • A. Streamlines case management by categorizing and tracking customer support cases, identifying topics, and summarizing case resolutions
  • B. Improves CRM security protocols, safeguarding sensitive customer data from potential breaches and threats
  • C. Fully automates the customer service experience, ensuring seamless automated interactions with customers

Answer: A

Explanation:
Explanation
"Streamlining case management by categorizing and tracking customer support cases, identifying topics, and summarizing case resolutions are some key benefits of AI in improving customer experiences in CRM. AI can help automate and optimize various aspects of customer service, such as routing cases to the right agents, providing relevant information or suggestions, and generating reports or insights. AI can also help enhance customer satisfaction and loyalty by reducing wait times, improving response quality, and providing personalized solutions."


NEW QUESTION # 76
What is a Key consideration regarding data quality in AI implementation?

  • A. Techniques from customizing AI features in Salesforce
  • B. Integration process of AI models with Salesforce workflows
  • C. Data's role in training and fine-tuning Salesforce AI models

Answer: C

Explanation:
"Data's role in training and fine-tuning Salesforce AI models is a key consideration regarding data quality in AI implementation. Data quality is the degree to which data is accurate, complete, consistent, relevant, and timely for the AI task. Data quality can affect the performance and reliability of AI systems, as they depend on the quality of the data they use to learn from and make predictions. Data's role in training and fine-tuning Salesforce AI models means understanding how data is used to build, train, test, and improve AI models in Salesforce, such as Einstein Prediction Builder or Einstein Discovery."


NEW QUESTION # 77
What is a Key consideration regarding data quality in AI implementation?

  • A. Techniques from customizing AI features in Salesforce
  • B. Integration process of AI models with Salesforce workflows
  • C. Data's role in training and fine-tuning Salesforce AI models

Answer: C

Explanation:
Explanation
"Data's role in training and fine-tuning Salesforce AI models is a key consideration regarding data quality in AI implementation. Data quality is the degree to which data is accurate, complete, consistent, relevant, and timely for the AI task. Data quality can affect the performance and reliability of AI systems, as they depend on the quality of the data they use to learn from and make predictions. Data's role in training and fine-tuning Salesforce AI models means understanding how data is used to build, train, test, and improve AI models in Salesforce, such as Einstein Prediction Builder or Einstein Discovery."


NEW QUESTION # 78
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 effectiveness of the AI models?

  • A. Volume
  • B. Performance
  • C. Consistency

Answer: C

Explanation:
When data is scattered and not standardized, the key data quality element a developer should focus on is consistency. Consistency refers to the uniformity and standardization of data across different systems, which is crucial for integrating and analyzing data effectively, especially when developing AI models. Inconsistent data can lead to errors in analysis, poor AI model performance, and misleading insights. Salesforce provides tools and practices for ensuring data consistency, such as data integration and management solutions that help standardize and synchronize data across platforms. For more information on Salesforce data management, refer to the Salesforce data management tools at Salesforce Data Management.


NEW QUESTION # 79
Which Einstein capability uses emails to create content for Knowledge articles?

  • A. Predict
  • B. Discover
  • C. Generate

Answer: C

Explanation:
"Einstein Generate uses emails to create content for Knowledge articles. Einstein Generate is a natural language generation (NLG) feature that can automatically write summaries, descriptions, or recommendations based on data or text inputs. For example, Einstein Generate can analyze email conversations between agents and customers and generate draft articles for the Knowledge base."


NEW QUESTION # 80
......

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