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Salesforce Certified AI Associate Exam Sample Questions (Q69-Q74):

NEW QUESTION # 69
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. Size of the dataset
B. Number of variables ipn the dataset
C. Age of the dataset

Answer: A

Explanation:
Explanation
"The size of the dataset is a crucial factor that the developer should consider during selection. The size of the dataset refers to the amount or volume of data available for training an AI model. The size of the dataset can affect the feasibility and quality of the AI model, as well as the choice of AI techniques and tools. The size of the dataset should be large enough to provide sufficient information for the AI model to learn from and generalize well to new data."

NEW QUESTION # 70
What is the key difference between generative and predictive AI?

A. Generative AI finds content similar to existing data and predictive AI analyzes existing data.
B. Generative AI analyzes existing data and predictive AI creates new content based on existing data.
C. Generative AI creates new content based on existing data and predictive AI analyzes existing data.

Answer: C

Explanation:
Explanation
"The key difference between generative and predictive AI is that generative AI creates new content based on existing data and predictive AI analyzes existing data. Generative AI is a type of AI that can generate novel content such as images, text, music, or video based on existing data or inputs. Predictive AI is a type of AI that can analyze existing data or inputs and make predictions or recommendations based on patterns or trends."

NEW QUESTION # 71
What is a Key consideration regarding data quality in AI implementation?

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

Answer: A

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 # 72
What should organizations do to ensure data quality for their AI initiatives?

A. Rely on AI algorithms to automatically handle data quality issues.
B. Collect and curate high-quality data from reliable sources.
C. Prioritize model fine-tuning over data quality improvements.

Answer: B

Explanation:
Explanation
"Organizations should collect and curate high-quality data from reliable sources to ensure data quality for their AI initiatives. High-quality data means that the data is accurate, complete, consistent, relevant, and timely for the AI task. Reliable sources mean that the data is trustworthy, credible, and authoritative. Collecting and curating high-quality data from reliable sources can improve the performance and reliability of AI systems."

NEW QUESTION # 73
A sales manager wants to use AI to help sales representatives log their calls quicker and more accurately.
Which functionality provides the best solution?

A. Auto-Generated Sales Tasks
B. Sales Dialer
C. Call Summaries

Answer: C

Explanation:
The best functionality to help sales representatives log their calls quicker and more accurately is the use of AI- generated Call Summaries. This feature leverages AI to analyze voice data from sales calls and automatically generate concise summaries and actionable insights, which are then logged into the CRM system. This not only speeds up the process of recording call details but also enhances the accuracy of the data captured, reducing the likelihood of human error and ensuring that important details are not missed. Salesforce provides AI tools that integrate with telephony solutions to enable these capabilities, enhancing the efficiency of sales operations. For more information on Salesforce AI features like Einstein Call Coaching that support this functionality, visit Salesforce Einstein Call Coaching.

NEW QUESTION # 74
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