Which Einstein capability uses emails to create content for Knowledge articles?
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.”
Which type of bias results from data being labeled according to stereotypes?
B
Explanation:
“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.”
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?
A
Explanation:
“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.”
Cloud Kicks relies on data analysis to optimize its product recommendation; however, CK encounters
a recurring Issue of Incomplete customer records, with missing contact Information and incomplete
purchase histories.
How will this incomplete data quality impact the company's operations?
A
Explanation:
“The incomplete data quality will impact the company’s operations by hindering the accuracy of
product recommendations. Incomplete data means that the data is missing some values or attributes
that are relevant for the AI task. Incomplete data can affect the performance and reliability of AI
models, as they may not have enough information to learn from or make accurate predictions. For
example, incomplete customer records can affect the quality of product recommendations, as the AI
model may not be able to capture the customers’ preferences, behavior, or needs.”
What are some key benefits of AI in improving customer experiences in CRM?
C
Explanation:
“Streamlining case management by categorizing and tracking customer support cases, identifying
topics, and summarizing case resolutions are some key benefits of AI in improving customer
experiences in CRM. AI can help automate and optimize various aspects of customer service, such as
routing cases to the right agents, providing relevant information or suggestions, and generating
reports or insights. AI can also help enhance customer satisfaction and loyalty by reducing wait
times, improving response quality, and providing personalized solutions.”
How does an organization benefit from using AI to personalize the shopping experience of online
customers?
B
Explanation:
“An organization benefits from using AI to personalize the shopping experience of online customers
by increasing customer satisfaction. AI can help provide customized and relevant product
recommendations, offers, or content based on the customers’ preferences, behavior, or needs. AI
can also help create a more engaging and interactive shopping experience by using natural language
processing (NLP) or computer vision techniques. Personalized shopping experiences can improve
customer satisfaction by meeting their expectations, needs, and interests.”
Cloud Kicks is testing a new AI model.
Which approach aligns with Salesforce's Trusted AI Principle of Incluslvity?
C
Explanation:
“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.”
Cloud Kicks wants to develop a solution to predict customers product interests based on historical
dat
a. The company found that employees from one region use a text field to capture the product
category, while employees from all other locations use a plckllst.
Which data quality dimension is affected in this scenario?
C
Explanation:
“Consistency is the data quality dimension 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 and
processing. For example, using different field types for the same attribute can affect the consistency
of the data.”
Cloud Kicks wants to implement AI features on its 5aiesforce Platform but has concerns about
potential ethical and privacy challenges.
What should they consider doing to minimize potential AI bias?
B
Explanation:
“Implementing Salesforce’s Trusted AI Principles is what Cloud Kicks should consider doing to
minimize potential AI bias. Salesforce’s Trusted AI Principles are a set of guidelines and best practices
for developing and using AI systems in a responsible and ethical way. The principles include
Accountability, Fairness & Equality, Transparency & Explainability, Privacy & Security, Reliability &
Safety, Inclusivity & Diversity, Empowerment & Education.”
Which features of Einstein enhance sales efficiency and effectiveness?
C
Explanation:
“Opportunity Scoring, Lead Scoring, Account Insights are features of Einstein that enhance sales
efficiency and effectiveness. Opportunity Scoring and Lead Scoring use predictive models to assign
scores to opportunities and leads based on their likelihood to close or convert. Account Insights use
natural language processing (NLP) to provide relevant news and insights about accounts based on
their industry, location, or events.”