Questions Flashcards
https://quizlet.com/838317349/flashcards
What is the difference between Einstein
Vision and Einstein Prediction?
a) Einstein Vision deals with image
recognition, while Einstein Prediction
focuses on forecasting business
outcomes
b) Einstein Vision is a data visualization
tool, while Einstein Prediction is for
chatbot solutions
c) Einstein Vision is for creating Al
models, while Einstein Prediction is for
integrating external Al models
d) Einstein Vision focuses on text
analysis, while Einstein Prediction is for
image analysis
Einstein Vision deals with image
recognition, while Einstein Prediction
focuses on forecasting business
outcomes
Which Al type plays a crucial role in
salesforce’s predictive text and speech
recognition capabilities, enabling the
platform to understand and respond to
User commands accurately?
A - Computer Vision
B - Natural Language Processing
C - Predictive Analytics
Natural Language Processing
Which feature of marketing cloud
einstein used Al to predict consumer
engagement with email and mobile push
messaging?
A - content selection
B - email recommendations
C - Engagement scoring
Engagement scoring
What is a unique and distinguishing
feature of deep learning in the context
of Al capabilities?
A - Deep learning Uses neural networks
with multiple layers to lean from a large
amount of data
B -Deep learning Uses historical data to
predict future outcomes
C -Deep learning Uses algorithms to
cleanse and prepare data for Al
implementations
Deep learning Uses neural networks
with multiple layers to lean from a large
amount of data
A salesforce consultant is discussing Al
capabilitites with a customer who is
interested in improving their sales
processes. Which type of Al would be
most suitable for enhancing sales
processes in Salesforce customer 360?
A - Predictive analysis
B - Computer vision
C- NLP
Predictive analysis
What are the three main types of Al
capabilitites in Salesforce?
A - Predictive, Generative, Analytic
B - Predictive, Reactive, Analytic
C - Generative, Descriptive, Analytic
Predictive, Generative, Analytic
Which salesforce Al application is
recommended to enhance sales
processes?
A - Einstein prediction builder
B - Einstein voice
C - Einstein lead scoring
C - Einstein lead scoring (Einstein lead
scorig is specifically designed to
enhance sales processes by scoring
leads based on their likelihood to
convert, allowing sales teams to
prioritize their efforts effictively)
What is a key benefit of implementing Al
in a CRM system?
A - Enhanced customer support
B - Improved platform speed
C - Reduced data governance
Enhanced customer support
C10Ud kicks is implementing Al in its
CRM system and is focusing on data
management. What is the benefit of
using a data management approach in
Al implementation?
A - Eliminated the need for data
governance
B - Reduces the amount of data in the
CRM system
C - Emphasises the importance of data
quality
Emphasises the importance of data
quality
A consultant discusses the role of humans in AI-
driven CRM processes with a customer. What is
one challenge the consultant should mention
about human-Al collaboration in decision
making?
A - Difficulty in interpreting Al decisions
B - High cost of Al implementation
C - Lack of technical skills in the team
Difficulty in interpreting Al decisions
Cloud kicks wants to implement salesforce Al
featuers. They are concerned about political
ethical and privacy challenges. What should be
recommended to minimize potential Al bias?
A - Salesforce trusted Al principles
B - Demographic data to identify minority groups
C - Al models that auto correct biased data
Salesforce trusted Al principles
A consultant designs a new Al model for
a financial services company that offers
personal loans. Which variable witin
their proposed model might introducw
unintended bias?
A - Loan Date
B - Postal Code
C - Payment Due Date
Postal Code
C10Ud kicks is planning to automate its
customer service chat using natural
language processing. According to
salesforce trusted Al principles, how
should this be disclosed to the
customer?
A - They do not need to be informed
that they are chatting with Al
B - Inform the customer that they are
chatting with Al when they request a live
agent
C - Inform them at the beginning of the
interaction that they are chatting with Al
Inform them at the beginning of the
interaction that they are chatting with Al
C10Ud kicks wants to implement Al
features within its CRM system. They
have expressed concerns about the
quality of their exisisting data. What
advice should be given to them
regarding the importance of data quality
for Al implementations?
A - Assessing data quality is only
necessary for large datasets
B - Al systems can handle any data
inaccuracies
C - Assessing and improving data
quality is crucial for accurate Al
predictions and insights.
Assessing and improving data
quality is crucial for accurate Al
predictions and insights.
