Make success possible with our Latest and Unique AI Associate Salesforce-AI-Associate Practice Exam!
Name: Salesforce Certified AI Associate Exam (WI25)
Exam Code: Salesforce-AI-Associate
Certification: AI Associate
Vendor: Salesforce
Total Questions: 105
Last Updated: March 15, 2025
433 Satisfied Customers
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Which features of Einstein enhance sales efficiency and effectiveness?
A. Opportunity List View, Lead List View, Account List view
B. Opportunity Scoring, Opportunity List View, Opportunity Dashboard
C. Opportunity Scoring, Lead Scoring, Account Insights
ANSWER : C
What is the main focus of the Accountability principle in Salesforce's Trusted AI Principles?
A. Safeguarding fundamental human rights and protecting sensitive data
B. Taking responsibility for one's actions toward customers, partners, and society
C. Ensuring transparency In Al-driven recommendations and predictions
ANSWER : B
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
ANSWER : B
What is one technique to mitigate bias and ensure fairness in AI applications?
A. Ongoing auditing and monitoring of data that is used in AI 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
ANSWER : A
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
ANSWER : A
What are predictive analytics, machine learning, natural language processing (NLP), andcomputer vision?
A. Different types of data models used in Salesforce
B. Different types of automation tools used in Salesforce
C. Different types of AI that can be applied in Salesforce
ANSWER : C
A developer has a large amount of data, but it is scattered across different systems and isnot standardized.Which key data quality element should they focus on to ensure the effectiveness of the AImodels?
A. Performance
B. Consistency
C. Volume
ANSWER : B
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.
ANSWER : B
Which type of AI can enhance customer service agents' email responses by analyzing thewritten content of previous emails?
A. Natural language processing
B. Machine learning
C. Deep learning
ANSWER : A
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
ANSWER : B
A business analyst (BA) is preparing a new use case for Al. They run a report to check fornull 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
ANSWER : C
Cloud Kicks' latest email campaign is struggling to attract new customers.How can AI increase the company's customer email engagement?
A. Create personalized emails
B. Resend emails to inactive recipients
C. Remove invalid email addresses
ANSWER : A
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
ANSWER : C
What is the significance of explainability of trusted AI systems?
A. Increases the complexity of AI models
B. Enhances the security and accuracy of AI models
C. Describes how Al models make decisions
ANSWER : C
Which action introduces bias in the training data used for AI algorithms?
A. Using a large dataset that is computationally expensive
B. Using a dataset that represents diverse perspectives and populations
C. Using a dataset that underrepresents perspectives and populations
ANSWER : C
Which best describes the difference between predictive AI and generative Al?
A. Predictive AT uses machine learning to classify or predict outputs from its input datawhereas generative Al does not use machine learning to generate its output.
B. Predictive Al uses machine learning to classify or predict outputs from its input datawhereas generative Al uses machine learning to generate new and original output for 4given input
C. Predictive Al and generative Al have the same capabilities but differ in the type of inputthey receive; predictive AT receives raw data whereas generative AT receives naturallanguage.
ANSWER : B
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