QUESTION: 37

How does data quality impact the trustworthiness of Al-driven decisions?

The use of both low-quality and high-quality data can improve the accuracy and reliability of AI- driven decisions.
High-quality data improves the reliability and credibility of Al-driven decisions, fostering trust among users.
Low-quality data reduces the risk of overfitting the model, improving the trustworthiness of the predictions.

Answer(s): B

Explanation:

"High-quality data improves the reliability and credibility of AI-driven decisions, fostering trust among users. High-quality data means that the data is accurate, complete, consistent, relevant, and timely for the AI task. High-quality data can improve the performance and reliability of AI systems, as they have enough and correct information to learn from and make accurate predictions. High-quality data can also improve the trustworthiness of AI-driven decisions, as users can have more confidence and satisfaction in using AI systems."

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QUESTION: 38

Cloud Kicks learns of complaints from customers who are receiving too many sales calls and emails.
Which data quality dimension should be assessed to reduce these communication Inefficiencies?

Duplication
Usage
Consent

Answer(s): A

Explanation:

"Duplication is the data quality dimension that should be assessed to reduce communication inefficiencies. Duplication means that the data contains multiple copies or instances of the same record or value. Duplication can cause confusion, errors, or waste in data analysis and processing. For example, duplication can lead to communication inefficiencies if customers receive multiple calls or emails from different sources for the same purpose."

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QUESTION: 39

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?

Number of variables ipn the dataset
Size of the dataset
Age of the dataset

Answer(s): B

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."

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QUESTION: 40

What is machine learning?

AI that can grow its intelligence
AI that creates new content
A data model used in Salesforce

Answer(s): C

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."

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Free Salesforce-AI-Associate Exam Braindumps (page: 10)

QUESTION: 37

Explanation:

QUESTION: 38

Explanation:

QUESTION: 39

Explanation:

QUESTION: 40

Explanation: