Question 1: Skipped

What is a potential source of bias in training data for AI models ?

​ The data is collected in a certain area and time from specific systems/sources.
​ The data is skewed toward is particular demographic or source.
​ (Correct)
​ The data is collected from a diverse range of sources and demographics.
Question 2: Skipped
What is a possible outcome of poor data quality ?
​ AI predictions become more focused and less robust.
​ AI Models maintain but have slower response times.
​ Biases in data can be inadvertently learned and amplified by AI systems.
​ (Correct)
Question 3: Skipped
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?
​ Size of the dataset
​ Number of variables in the dataset
​ Age of the dataset
​ (Correct)
Question 4: Skipped
A financial institution plans a campaign for pre-approved credit cards ? How should they
implement Salesforce’s Trusted AI Principle of Transparency ?
​ Flag sensitive variables and their proxies to prevent discriminatory lending
practices.
​ Incorporate customer feedback into the model’s continuous training.
​ Communicate how risk factors such as credit score can impact customer
eligibility.
​ (Correct)
Question 5: Skipped
SmarTech Ltd uses Einstein to generate predictions out is not seeing accurate results ?
What to a potential reason for this ?
​ The wrong product.
​ Poor data quality.
​ (Correct)
​ Too much data.
Question 6: Skipped
A sales manager wants to improve their processes using AI in Salesforce. Which
application of AI would be most beneficial ?
​ Lead scoring and opportunity forecasting
​ (Correct)
​ Data modeling and management
​ Sales dashboards and reporting
Question 7: Skipped
A business analyst (BA) wants to improve business by enhancing their sales processes
and customer support.​
Which AI applications should the BA use to meet their needs ?
​ Sales data cleansing and customer support data governance
​ Machine learning models and chatbot predictions
​ Lead scoring, opportunity forecasting, and case classification
​ (Correct)
Question 8: Skipped
In the context of Salesforce's Trusted AI Principles, what does the principle of
Empowerment primarily aim to achieve ?
​ Empower users of all skill levels to build AI applications with clicks, not code.
​ (Correct)
​ Empower users to solve challenging technical problems using neural networks.
​ Empower users to contribute to the growing body of knowledge of leading AI
research.
Question 12: Skipped
How is natural language processing (NLP) used in the context of AI capabilities ?
​ To cleanse and prepare data for AI implementation.
​ To understand and generate human language.
​ (Correct)
​ To interpret and understand programming language.
Question 13: Skipped
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 ?
​ Email Address
​ Nickname
​ Financial Status
​ (Correct)
Question 14: Skipped
A multinational corporation aims to leverage AI-driven insights to optimize its global
sales strategy. Which approach of Einstein Analytics can help achieve this goal ?
 ​ Utilizing Predictive Wave Apps
​ (Correct)
​ Implementing Einstein Discovery
​ Creating Custom Einstein Bots
​ Deploying Einstein Vision APIs
Question 15: Skipped
A business analyst (BA) wants to improve business by enhancing their sales processes
and customer. Which AI application should the BA use to meet their needs ?
​ Sales data cleansing and customer support data governance
​ Lead scoring, opportunity forecasting, and case classification
​ (Correct)
​ Machine learning models and chatbot predictions
Question 16: Skipped
A salesforce admin creates a new field to capture an order’s destination country. Which
field type should they use to ensure data quality ?
​ Number
​ Text
​ Picklist
​ (Correct)
Question 17: Skipped
SmarTech Ltd is testing a new AI model. Which approach aligns with Salesforce’s
Trusted AI Principle of Inclusivity ?
​ Rely on a development team with uniform backgrounds to assess the potential
societal implications of the model.
​ Test only with data from a specific region or demographic to limit the risk of
data leaks.
​ Test with diverse and representative datasets appropriate for how the model
will be used.
​ (Correct)
Question 18: Skipped
A marketing manager wants to use AI to better engage their customers. Which
functionality provides the best solution ?
​ Bring Your Own Model
​ Journey Optimization
​ Einstein Engagement
​ (Correct)
Question 19: Skipped
What is a sensitive variable that can lead to bias ?
 ​ Gender
​ (Correct)
​ Education level
​ Country
Question 20: Skipped
Which salesfoce product leverages AI to provide insights and recommendations to
sales and service teams ?
​ Salesforce Einstein
​ (Correct)
​ Salesforce marketing cloud
​ Salesforce analytics
Question 21: Skipped
What is a key challenge of human AI collaboration in decision making ?
​ Leads to over informed and balanced decision making
​ Creates a reliance on AI, potentially leading to less critical thinking and
oversight
​ (Correct)
​ Reduce the need for human involvement in decision making process
Question 22: Skipped
A financial services company wants to use Einstein GPT to develop a chatbot that can
answer customer questions about their account balances and transactions. The
company has a large dataset of customer interaction data, including chat transcripts,
emails, and phone call recordings.

Which Einstein GPT feature should the company use to develop a chatbot that can
answer customer questions ?
​ Text generation
​ Translation
​ Creative writing
​ Question answering
​ (Correct)
Question 25: Skipped
SmarTech Ltd want to use einstein prediction builder to determine a customers
likelihood of buying specific products; however, data quality is a mess. How can data
quality be assessed ?
​ Leverage data quality apps from AppExchange
​ Build a data management strategy
​ (Correct)
 ​ Build reports to expire the data quality
Question 26: Skipped
Which of the following is a factor that can determine the quality of data used for AI
training models ?
​ Data compatibility
​ (Correct)
​ Duplicate records
​ Data volume
Question 27: Skipped
What is the best method to safeguard customer data privacy ?
​ Archive customer data on a recurring schedule.
​ Automatically anonymize all customer data.
​ Track Customer data consent preferences
​ (Correct)
Question 28: Skipped
SmarTech Ltd wants to ensure that multiple records for the same customer are
removed in Salesforce. Which feature should be used to accomplish this ?
​ Trigger deletion of old records
​ Standardized field names.
​ Duplicate management
​ (Correct)
Question 29: Skipped
Which Einstein capability uses emails to create content for Knowledge articles ?
​ Discover.
​ Generate.
​ (Correct)
​ Predict.
Question 31: Skipped
What is the primary goal of generative AI ?
​ Generating new data that is similar to existing data
​ (Correct)
​ Classifying images
​ Solving mathematical equations
Question 32: Skipped
What is the role of data quality in achieving AI business Objectives ?
​ Data quality is important for maintain AI data storage limits
​ Data quality is required to create accurate AI data insights.
​ (Correct)
 ​ Data quality is unnecessary because AI can work with all data types.
Question 33: Skipped
Which of the following is one of the perceived risks of real time personalization in
marketing ?
​ Encouraging unhealthy habits
​ Data being collected, shared or used in unanticipated ways
​ (Correct)
​ Automated spam emails
Question 34: Skipped
What is AI Hallucination ?
​ AI systems begin to perceive and interact with fictional and fantastical entities
in their virtual worlds
​ AI systems start exhibiting behaviors reminiscent of characters from classic
literature
​ A confident response by an AI that does not seem to be justified by its training
data
​ (Correct)
Question 35: Skipped
A customer using Einstein Prediction Builder is confused about why a certain prediction
was made. Following Salesforce's Trusted AI Principle of Transparency, which customer
information should be accessible on the Salesforce Platform ?
​ An explanation of the prediction's rationale and a model card that describes how
the model was created
​ (Correct)
​ An explanation of how Prediction Builder works and a link to Salesforce's
Trusted AI Principles
​ A marketing article of the product that clearly outlines the product's capabilities
and features
Question 38: Skipped
What does Einstein Discovery use to get predictions and improvements ?
​ Insights
​ Model
​ (Correct)
​ Dashboard
​ Crystal ball
Question 39: Skipped
Which AI 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 ?
​ Computer Vision
​ Natural Language Processing (NLP)
​ (Correct)
​ Predictive Analytics
Question 40: Skipped
A consultant designs a new AI model for a financial services company that offers
personal loans. Which variable within their proposed model might introduce unintended
bias ?
​ Payment Due Date
​ Postal Code
​ (Correct)
​ Loan Date
Question 41: Skipped
What are the three commonly used examples of AI in CRM ?
​ Predictive scoring, reporting, Image classification
​ Predictive scoring, forecasting, recommendations
​ (Correct)
​ Einstein Bots, face recognition, recommendations
Question 42: Skipped
Which data quality dimension refers to the frequency and timeliness of data updates ?
​ Data Leakage.
​ Data source.
​ Data freshness.
​ (Correct)
Question 43: Skipped
SmarTech Ltd wants to implement AI features within its CRM system. They have
expressed concerns about the quality of their existing data. What advice should be
given to them regarding the importance of data quality for AI implementations ?
​ Assessing data quality is only necessary for large datasets .
​ Assessing and improving data quality is crucial for accurate AI predictions and
insights.
​ (Correct)
​ AI systems can handle any data inaccuracies.
Question 44: Skipped
Which of the following describes a machine’s ability to understand what humans mean
when they speak as they naturally would to another human ?
​ Natural language understanding (NLU)
​ (Correct)
​ Named entity recognition (NER)
​ Natural language processing (NLP)
Question 45: Skipped
Which of the following refers to systems that handle communication between people
and machines. And processes data from unstructured to structured.
​ Named entity recognition (NER)
​ Natural language understanding (NLU)
​ Natural language processing (NLP)
​ (Correct)
Question 46: Skipped
SmarTech Ltd is planning to automate its customer services chat using natural
language processing. According to Salesforce's Trusted AI principles, how should this
be disclosed to the customer ?
​ Inform them at the beginning of the interaction that they are chatting with AI.
​ (Correct)
​ They do not need to be informed the are chatting with AI.
​ Inform the customer that they are chatting with AI when they request a live
agent.
Question 49: Skipped
Which type of data is not formatted in a specific way and can include text documents,
images, audios, and videos ?
​ LLM Data
​ Unstructured Data
​ (Correct)
​ Structured Data
Question 51: Skipped
Which Data Quality Dimension would you be checking for if you report on the Last
Modified Date of records ?
​ Usage
​ Age
​ (Correct)
​ Consistency
​