Salesforce-AI-Associate Practice Test Questions Answers


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Exam Name:
Salesforce Certified AI Associate Exam (SP24)
Questions:
101 Questions
Last Update:
2024-09-02

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Start Your AI Associate Journey With Salesforce-AI-Associate Dumps

Do you want to become an AI associate? Salesforce AI Associate is a great certification program to start your journey. The Salesforce-AI-Associate practice test is the best gear to bring to help you on your excursion.

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What is the Salesforce-AI-Associate exam?

The Salesforce AI Associate Certification Exam validates your fundamental capabilities of AI and data as they apply to CRM. The certification not only certifies your skills as a responsible AI and data associate but also paves the way for advanced technical certifications in the same domain.

Who is it for?

Salesforce designed this certification program for a multitude of audiences. Individuals interested in learning more about AI and how it is used in CRM in the Salesforce platform to increase business can access this plethora of knowledge.

What Does it cover?

The exam covers a wide range of topics, each with contrasting percentages. 17% of the exam covers AI Fundamentals, 8% is AI capabilities in CRM, 39% is on ethical considerations of AI, and 36% is Data for AI

What To Expect!

While there may be no prerequisites for the exam, you still need to understand its format basics. In a context of 40 multiple-choice questions, it allows 70 minutes to complete the exam. Candidates are to gain a 65% score to pass. The registration fee for the exam is $75 plus applicable taxes.

What are the benefits of passing the exam?

Salesforce AI Associates demonstrate knowledge of AI basics, Salesforce's trusted AI principles, and ethical data handling. They can engage in discussions with stakeholders on how AI can improve businesses. They can identify opportunities and challenges for AI-driven improvements.

Why are Salesforce-AI-Associate practice tests important for exam preparation?

Practice test gives you a similar atmosphere to train in. They facilitate candidates by providing familiarity with the exam format and content. You can then solve the Salesforce-AI-Associate question answers aptly being used to the context.

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Salesforce Salesforce-AI-Associate Sample Question Answers

Question # 1

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

Question # 2

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

Question # 3

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

Question # 4

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

Question # 5

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

Question # 6

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

Question # 7

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

Question # 8

What is a key benefit of effective interaction between humans and AI systems?

A. Leads to more informed and balanced decision making
B. Alerts humans to the presence of biased data
C. Reduces the need for human involvement

Question # 9

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?

A. Sales data cleansing and customer support data governance
B. Machine learning models and chatbot predictions
C. Lead scoring, opportunity forecasting, and case classification

Question # 10

In the context of Salesforce’s Trusted AI Principles what does the principle of Empowerment primarily aim to achieve?

A. Empower users to off all skill level to build AI application with clicks, not code.
B. Empower users to contribute to the growing body of knowledge of leading AI research.
C. Empower users to solve challenging technical problems using neural networks.

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