Salesforce AI Associate Exam Questions Instant Access

Question 1

Why is it critical to consider privacy concerns when dealing with AI and CRM data?

AEnsures compliance with laws and regulations

BConfirms the data is accessible to all users

CIncreases the volume of data collected

Answer : A

''It is critical to consider privacy concerns when dealing with AI and CRM data because it ensures compliance with laws and regulations. Data privacy is the right of individuals to control how their personal data is collected, used, shared, or stored by others. Data privacy laws and regulations are legal frameworks that define and enforce the rights and obligations of data subjects, data controllers, and data processors regarding personal data. Data privacy laws and regulations vary by country, region, or industry, and may impose different requirements or restrictions on how AI and CRM data can be handled.''

Question 2

Salesforce defines bias as using a person's Immutable traits to classify them or market to them.

Which potentially sensitive attribute is an example of an immutable trait?

AFinancial status

BNickname

CEmail address

Answer : A

''Financial status is an example of an immutable trait. Immutable traits are characteristics that are inherent, fixed, or unchangeable. For example, financial status is an immutable trait because it is determined by factors beyond one's control, such as birth, inheritance, or economic conditions. Nickname and email address are not immutable traits because they can be changed by choice or preference.''

Question 3

In the context of Salesforce's Trusted AI Principles what does the principle of Empowerment primarily aim to achieve?

AEmpower users to off all skill level to build AI application with clicks, not code.

BEmpower users to contribute to the growing body of knowledge of leading AI research.

CEmpower users to solve challenging technical problems using neural networks.

Answer : A

''The principle of Empowerment primarily aims to achieve empowering users of all skill levels to build AI applications with clicks, not code. Empowerment is one of the Trusted AI Principles that states that AI systems should be designed and developed with respect for the empowerment and education of humans. Empowering users means enabling users to access, use, and benefit from AI systems regardless of their technical expertise or background. For example, empowering users means providing tools and platforms that allow users to build AI applications with clicks, not code, such as Einstein Prediction Builder or Einstein Discovery.''

Question 4

Which AI tool is a web of connections, guided by weights and biases?

ANeural networks

BPredictive Analytics

CRules- based systems

DMark this item for later review,

Answer : A

Neural networks are a key AI tool designed as a web of interconnected nodes, similar to the human brain's structure. Each connection, or synapse, in a neural network is guided by weights and biases that are adjusted during the learning process. These weights and biases determine the strength and influence of one node over another, facilitating complex pattern recognition and decision-making processes. Neural networks are extensively used in machine learning for tasks like image and speech recognition, among others. For more on neural networks in the context of Salesforce AI, see the Salesforce AI documentation on Neural Networks.

Question 5

Which best describes the different between predictive AI and generative AI?

APredictive new and original output for a given input.

BPredictive AI and generative have the same capabilities differ in the type of input they receive: predictive AI receives raw data whereas generation AI receives natural language.

CPredictive AI uses machine learning to classes or predict output from its input data whereas generative AI does not use machine learning to generate its output

Answer : A

''The difference between predictive AI and generative AI is that predictive AI analyzes existing data to make predictions or recommendations based on patterns or trends, while generative AI creates new content based on existing data or inputs. Predictive AI is a type of AI that uses machine learning techniques to learn from existing data and make predictions or recommendations based on the data. For example, predictive AI can be used to forecast sales, revenue, or demand based on historical data and trends. Generative AI is a type of AI that uses machine learning techniques to generate novel content such as images, text, music, or video based on existing data or inputs. For example, generative AI can be used to create realistic faces, write summaries, compose songs, or produce videos.''

Question 6

Cloud kicks wants to decrease the workload for its customer care agents by implementing a chatbot on its website that partially deflects incoming cases by answering frequency asked questions

Which field of AI is most suitable for this scenario?

ANatural language processing

BComputer vision

CPredictive analytics

Answer : A

''Natural language processing is the field of AI that is most suitable for this scenario. Natural language processing (NLP) is a branch of AI that enables computers to understand and generate natural language, such as speech or text. NLP can be used to create conversational interfaces that can interact with users using natural language, such as chatbots. Chatbots can help automate and streamline customer service processes by providing answers, suggestions, or actions based on the user's intent and context.''

Question 7

A healthcare company implements an algorithm to analyze patient data and assist in medical diagnosis.

Which primary role does data Quality play In this AI application?

AEnhanced accuracy and reliability of medical predictions and diagnoses

BEnsured compatibility of AI algorithms with the system's Infrastructure

CReduced need for healthcare expertise in interpreting AI outouts

Answer : A

''Data quality plays a crucial role in enhancing the accuracy and reliability of medical predictions and diagnoses. Poor data quality can lead to inaccurate or misleading results, which can have serious consequences for patients' health and well-being. Therefore, it is important to ensure that the data used for AI applications in healthcare is accurate, complete, consistent, and relevant.''

Salesforce Certified AI Associate Exam Questions