FANTASTIC TEST SALESFORCE-AI-ASSOCIATE GUIDE ONLINE COVERS THE ENTIRE SYLLABUS OF SALESFORCE-AI-ASSOCIATE

Fantastic Test Salesforce-AI-Associate Guide Online Covers the Entire Syllabus of Salesforce-AI-Associate

Fantastic Test Salesforce-AI-Associate Guide Online Covers the Entire Syllabus of Salesforce-AI-Associate

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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 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 3
  • 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 the Trusted AI Principles of Salesforce to given scenarios.
Topic 4
  • AI Capabilities in CRM: Get familiar with the benefits of AI and capabilities of CRM.

Salesforce Certified AI Associate Exam Sample Questions (Q98-Q103):

NEW QUESTION # 98
Which Einstein capability uses emails to create content for Knowledge articles?

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

Answer: A

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 # 99
Cloud kicks wants to develop a solution to predict customers' interest based on historical data. The company found that employee region uses a text field to capture the product category while employee from all other locations use a picklist.
Which dimension of data quality is affected in this scenario?

  • A. Accuracy
  • B. Completeness
  • C. Consistency

Answer: C

Explanation:
Explanation
"Consistency is the dimension of data quality that is affected in this scenario. Consistency means that the data values are uniform and follow a common standard or format across different records, fields, or sources.
Inconsistent data can cause confusion, errors, or duplication in data analysis andprocessing. For example, using different field types for the same attribute can affect the consistency of the data."


NEW QUESTION # 100
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 # 101
What is machine learning?

  • A. AI that creates new content
  • B. A data model used in Salesforce
  • C. AI that can grow its intelligence

Answer: B

Explanation:
"A data model is a machine learning feature used in Salesforce. A data model is a representation or abstraction of a real-world phenomenon or process using data structures and algorithms. A data model can be used to describe, analyze, or predict various aspects of the phenomenon or process using machine learning techniques."


NEW QUESTION # 102
A data quality expert at Cloud Kicks want to ensure that each new contact contains at least an email address
...
Which feature should they use to accomplish this?

  • A. Validation rule
  • B. Duplicate matching rule
  • C. Autofill

Answer: A

Explanation:
"A validation rule should be used to ensure that each new contact contains at least an email address or phone number. A validation rule is a feature that checks the data entered by users for errors before saving it to Salesforce. A validation rule can help ensure data quality by enforcing certain criteria or conditions for the data values."


NEW QUESTION # 103
......

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