Salesforce AI Associate Exam Practice Test Instant Access

Question 1

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 2

Cloud Kicks is testing a new AI model.

Which approach aligns with Salesforce's Trusted AI Principle of Incluslvity?

ATest only with data from a specific region or demographic to limit the risk of data leaks.

BRely on a development team with uniform backgrounds to assess the potential societal implications of the model.

CTest with diverse and representative datasets appropriate for how the model will be used.

Answer : C

''Testing with diverse and representative datasets appropriate for how the model will be used aligns with Salesforce's Trusted AI Principle of Inclusivity. Inclusivity means that AI systems should be designed and developed with respect for diversity and inclusion of different perspectives, backgrounds, and experiences. Testing with diverse and representative datasets can help ensure that the models are fair, unbiased, and representative of the target population or domain.''

Question 3

What is an example of Salesforce's Trusted AI Principle of Inclusivity in practice?

ATesting models with diverse datasets

BStriving for model explain ability

CWorking with human rights experts

Answer : A

''An example of Salesforce's Trusted AI Principle of Inclusivity in practice is testing models with diverse datasets. Inclusivity means that AI systems should be designed and developed with respect for diversity and inclusion of different perspectives, backgrounds, and experiences. Testing models with diverse datasets can help ensure that the models are fair, unbiased, and representative of the target population or domain.''

Question 4

What is a possible outcome of poor data quality?

AAI models maintain accuracy but have slower response times.

BBiases in data can be inadvertently learned and amplified by AI systems.

CAI predictions become more focused and less robust.

Answer : B

''A possible outcome of poor data quality is that biases in data can be inadvertently learned and amplified by AI systems. Poor data quality means that the data is inaccurate, incomplete, inconsistent, irrelevant, or outdated for the AI task. Poor data quality can affect the performance and reliability of AI systems, as they may not have enough or correct information to learn from or make accurate predictions. Poor data quality can also introduce or exacerbate biases in data, such as human bias, societal bias, or confirmation bias, which can affect the fairness and ethics of AI systems.''

Question 5

Which action should be taken to develop and implement trusted generated AI with Salesforce's safety guideline in mind?

ADevelop right-sized models to reduce our carbon footprint.

BCreate guardrails that mitigates toxicity and protect PII

CBe transparent when AI has created and automatically delivered content.

Answer : B

''Creating guardrails that mitigate toxicity and protect PII is an action that should be taken to develop and implement trusted generative AI with Salesforce's safety guideline in mind. Salesforce's safety guideline is one of the Trusted AI Principles that states that AI systems should be designed and developed with respect for the safety and well-being of humans and the environment. Creating guardrails means implementing measures or mechanisms that can prevent or limit the potential harm or risk caused by AI systems. For example, creating guardrails can help mitigate toxicity by filtering out inappropriate or offensive content generated by AI systems. Creating guardrails can also help protect PII by masking or anonymizing personal or sensitive information generated by AI systems.''

Question 6

Which type of bias results from data being labeled according to stereotypes?

AAssociation

BSocietal

CInteraction

Answer : B

''Societal bias results from data being labeled according to stereotypes. Societal bias is a type of bias that reflects the assumptions, norms, or values of a specific society or culture. For example, societal bias can occur when data is labeled based on gender, race, ethnicity, or religion stereotypes.''

Question 7

What is the key difference between generative and predictive AI?

AGenerative AI creates new content based on existing data and predictive AI analyzes existing data.

BGenerative AI finds content similar to existing data and predictive AI analyzes existing data.

CGenerative AI analyzes existing data and predictive AI creates new content based on existing data.

Answer : A

''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.''

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