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1 of 40. Which type of AI can enhance customer service agents' email responses by analyzing the
written content of previous emails?
A. Natural language processing
B. Machine learning
C. Deep learning
Ans. A
2 of 40. A consultant conducts a series of Consequence Scanning Workshops to support testing
diverse datasets.
Which Salesforce Trusted AI Principle is being practiced?
A. Transparency
B. Inclusivity
C. Accountability
Ans. B
3 of 40. What is one technique to mitigate bias and ensure fairness in Al applications?
A. Ongoing auditing and monitoring of data that is used in Al applications
B. Excluding data features from the Al application to benefit a population
C. Using data that contains more examples of minority groups than majority groups
Ans. A
4 of 40. What should organizations do to ensure data quality for their Al initiatives?
A. Collect and curate high-quality data from reliable sources.
B. prioritize model fine-tuning over data quality improvements
C. Develop Al algorithms to automatically handle data quality Issues.
Ans. A
5 of 40. A sales manager is looking to enhance the quality of lead data in their CRM system.
Which process will most likely help the team accomplish this goal?
A. Redesign the lead conversion process.
B. Review and update missing lead information.
C. Prioritize active leads quarterly.
Ans. B
6 of 40. How does a data quality assessment impact business outcomes for companies using AI?
A. Accelerates the delivery of new Al solutions
B. Provides a benchmark for Al predictions
C. Improves the speed of Al recommendations
Ans. B
7 of 40. Cloud Kicks wants to evaluate its data quality to ensure accurate and up-to-date records.
Which type of records negatively impact data quality?
A. Structured
B. Complete
C. Duplicate
Ans. C
8 of 40. A business analyst (BA) is preparing a new use case for Al. They run a report to check for
null values in the attributes they plan to use.
Which data quality component is the BA verifying by checking for null values?
A. Duplication
B. Usage
C. Completeness
Ans. C
9 of 40. How is natural language processing (NLP) used in the context of AI capabilities?
A. To cleanse and prepare data for Al implementations
B. To understand and generate human language
C. To interpret and understand programming language
Ans. B
10 of 40. In the context of Salesforce's Trusted Al Principles, what does the principle of
Empowerment primarily aim to achieve?
A. Empower users to solve challenging technical problems using neural networks.
B. Empower users of all skill levels to build Al applications with clicks, not code.
C. Empower users to contribute to the growing body of knowledge of leading AI research.
Ans. B
11 of 40. Cloud Kicks wants to use Einstein Prediction Builder to determine customer's likelihood of
buying specific products; however, data quality is concern.
How can data quality be assessed quickly?
A. Build a Data Management Strategy.
B. Run reports to explore the data quality.
C. Leverage data quality apps from AppExchange.
Ans. C
12 of 40. A Salesforce administrator creates a new field to capture an order's destination country.
Which field type should they use to ensure data quality?
A. Picklist
B. Address
C. Text
Ans. A
13 of 40. A developer has a large amount of data, but it is scattered across different systems and is
not standardized.
Which key data quality element should they focus on to ensure the effectiveness of the AI models?
A. Performance
B. Consistency
C. Volume
Ans. B
14 of 40. Cloud Kicks wants to use Al to enhance its sales processes and customer support.
Which capability should they use?
A. Einstein Lead Scoring and Case Classification
B. Einstein Next Best Action and Case Auto Response Rules
C. Sales Path and Automated Case Escalations
Ans. A
15 of 40. What is a benefit of a diverse, balanced, and large dataset?
A. Model accuracy
B. Model trainability
C. Model complexity
Ans. A
16 of 40. Cloud Kicks wants to optimize its business operations by incorporating Al into its CRM.
What should the company do first to prepare its data for use with AI?
A. Determine data outcomes.
B. Determine data availability.
C. Determine data biases.
Ans. B
17 of 40. 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
frequently asked questions.
Which field of AT is most suitable for this scenario?
A. Predictive analytics
B. Natural language processing
C. Computer vision
Ans. B
18 of 40. What are the potential consequences of an organization suffering
from poor data quality?
A Low employee morale, stock devaluation, and inability to attract top talent
B. Revenue loss, poor customer service, and reputational damage
C. Technical debt, monolithic system architecture, and slow ETL throughput
Ans. B
19 of 40. What is a potential source of bias in training data for AI models?
A. The data is collected from a diverse range of sources and demographics.
B. The data is skewed toward a particular demographic or source.
C. The data is collected in real time from source systems.
Ans. B
20 of 40. What is a sensitive variable that can lead to bias?
A. Education level
B. Country
C. Gender
Ans. C
21 of 40. What are the three commonly used examples of Al in CRM?
A. Einstein Bots, face recognition, recommendations
B. Predictive scoring, forecasting, recommendations
C. Predictive scoring, reporting, Einstein Bots
Ans. B
22 of 40. What is an example of Salesforce's Trusted Al Principle of Inclusivity in practice?
A. Working with human rights experts
B. Striving for model explainability
C. Testing models with diverse datasets
Ans. C
23 of 40. What are some of the ethical challenges associated with Al development?
A. Sales Path and Automated Case Escalations
B. Striving for model explainability
C. Testing models with diverse datasets
Ans. C
24 of 40. What is the best method to safeguard customer data privacy?
A. Track customer data consent preferences.
B. Archive customer data on a recurring schedule.
C. Protect customer data with encrypted access.
Ans. A
25 of 40. In the context of Salesforce's Trusted Al Principles, what does the principle of
Responsibility primarily focus on?
A. Providing a framework for data model accuracy
B. Ensuring ethical use of Al
C. Outlining the technical specifications for AI integration
Ans. B
26 of 40. What is a potential outcome of using poor-quality data in Al applications?
A. Al models are less accurate but easier to train.
B. AI Models may produce biased or erroneous results.
C. AI model training becomes slower and less efficient.
Ans. B
27 of 40. Which statement exemplifies Salesforce's honesty guideline when training AI models?
A. Minimize the Al model's carbon footprint and environmental impact during training.
B. Choose smaller better-trained models instead of larger more sparsely trained models.
C. Ensure appropriate consent and transparency when using Al-generated responses.
Ans. A
28 of 40. What is a key challenge of human-AI collaboration in decision- making?
A. Creates a reliance on Al, potentially leading to less critical thinking and oversight
B. Leads to more informed and balanced decision-making
C. Reduces the need for human involvement in decision-making processes
Ans. A
29 of 40. 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. Financial status
B. Nickname
C. Email address
Ans. A
30 of 40. What is the main focus of the Accountability principle in Salesforce's Trusted AlPrinciples?
A. Taking responsibility for one’s actions toward customers, partners, and society
B. Ensuring transparency in Al-driven recommendations and predictions
C. Safeguarding fundamental human rights and protecting sensitive data
Ans. A
31 of 40. What is a benefit of data quality and transparency as it pertains bias in generative AI?
A. Chances of bias are aggravated.
B. Chances of bias are removed.
C. Chances of bias are mitigated.
Ans. B
32 of 40. What is the significance of explainability of trusted Al systems?
A. Increases the complexity of Al models
B. Enhances the security and accuracy of Al models
C. Describes how Al models make decisions
Ans. C
33 of 40. Cloud Kicks' latest email campaign is struggling to attract new customers.
How can Al increase the company's customer email engagement?
A. Create personalized emails
B. Resend emails to inactive recipients
C. Remove invalid email addresses
Ans. A
34 of 40. Cloud Kicks discovered multiple variations of state and country values in contact records.
Which data quality dimension is affected by this issue?
A. Consistency
B. Accuracy
C. Usage
Ans. A
35 of 40. Cloud Kicks plans to use automated chat as its primary support channel.
Which Einstein feature should they use?
A. Discovery
B. Bots
C. Next Best Action
Ans. B
36 of 40. What does the term "data completeness" refer to in the context of data quality ?
A. The degree to which all required data points are present in the dataset
B. The process of aggregating multiple datasets from various databases
C. The ability to access data from multiple sources in real time
Ans. A
37 of 40. A sales manager wants to improve their processes using Al in Salesforce.
Which application of AI would be most beneficial?
A. Data modeling and management
B. Lead scoring and opportunity forecasting
C. Sales dashboards and reporting
Ans. B
38 of 40. What are predictive analytics, machine learning, natural language processing (NLP), and
computer vision?
A. Different types of data models used in Salesforce
B. Different types of automation tools used in Salesforce
C. Different types of Al that can be applied in Salesforce
Ans. C
39 of 40. What is an implication of user consent in regard to Al data privacy?
A. AI operates independently of user privacy and consent.
B. AI ensures complete data privacy by automatically obtaining user consent.
C. Al infringes on privacy when user consent is not obtained.
Ans. C
40 of 40. Which best describes the difference between predictive Al and generative Al?
A. Predictive Al uses machine learning to classify or predict outputs from its input data whereas generative AI does not use machine learning to generate its output.
B. Predictive Al uses machine learning to classify or predict outputs from its input data whereas generative Al uses machine learning to generate new and original output for given input.
C. Predictive Al and generative Al have the same capabilities but differ in the type of input they receive; predictive Al receives raw data whereas generative Al receives natural language.
Ans. B
