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Recently, Salesforce announced at Dreamforce 2024 that the Salesforce AI Associate certification and AI Specialist certification exams would be free from 23 September 2024 till 31 December 2025. It sounds amazing, right? Well, of course, because this announcement is enough to fill the AI skills gap that many individuals lack in the Salesforce ecosystem. 

The Salesforce AI Associate Certification is a great way to test your knowledge of Salesforce’s AI capabilities and shows the skill to apply AI tools in real-world scenarios effectively. This blog will highlight the best Salesforce AI Associate Certification practice questions to help you prepare effectively. So, without delay, let’s get started. 

1. What is Salesforce Einstein AI?

A. AI-powered chatbot
B. An AI platform integrated with Salesforce for automation and analysis of business processes
C. A tool to design custom Salesforce apps
D. A cloud-based data storage solution

Answer: B

Explanation: Salesforce Einstein integrates AI into Salesforce to enhance automation, provide predictive insights, and help businesses make smarter decisions.

2. Which Salesforce AI tool is used for customer service automation?

A. Einstein Bots
B. Marketing Cloud
C. Salesforce Flow
D. Tableau CRM

Answer: A

Explanation: Einstein Bots automates customer interactions by answering frequently asked questions and offering real-time support. It can handle routine inquiries, and even escalate complex cases to human agents, improving efficiency in customer service operations.

3. What is the critical benefit of Salesforce using AI?

A. Reduces manual data entry
B. Offers predictive analytics and more intelligent decision-making
C. Creates customized dashboards
D. Increase storage capacity

Answer: B

Explanation: The AI capabilities offered by Salesforce allow proactive decisions based on predictive analytics and enable more intelligent decision-making. Salesforce’s AI helps businesses forecast trends, identify patterns in data, and automate insights, which empowers teams to make better, data-driven decisions. 

4. Which Salesforce technology uses artificial intelligence to evaluate sales data and anticipate future revenue?

A. Tableau CRM
B. Einstein Forecasting
C. Einstein Vision
D. Marketing Cloud

Answer: B

Explanation: Einstein Forecasting predicts revenue using previous sales data and machine learning models.

5. Which platform is recommended for taking the Salesforce AI associate practice exam?

A. Salesforce Trailhead.
B. Third Party Sites
C. LinkedIn Learning
D. Webassessor

Answer: A

Explanation: Salesforce Trailhead provides free modules, quizzes, and practice examinations to assist applicants prepare for the Salesforce AI certification.

6. Which definition fits best to meet the demands of Einstein prediction maker in Salesforce?

A. Facilitates workflows by user-defined criteria 
B. Gives tools for building really intelligent mobile applications 
C. Creates custom predictive models without requiring any code from Salesforce data 
D. Visualizes Salesforce data in actionable dashboards 

Answer: C

Explanation:  Einstein Prediction Builder allows users to create custom-made predictive models from Salesforce data, even if they do not know how to code. The idea is to open up access to AI for a wider audience.

7. What unique advantage does Salesforce Einstein Discovery offer over the standard forms of data analytics?

A. It only needs real-time data streams.
B. It integrates predictive insights directly into salesforce workflows.
C. It automates customer service response.
D. It replaces traditional CRMs by predictive CRMs.

Answer: B

Explanation: Einstein Discovery brings predictive insights and recommendations, including directly into existing salesforce processes to enable data-driven decision-making.

8. What is Einstein’s Discovery in Salesforce?

A. Automates conversations for customer service
B. Predicts outcome and advises action
C. Stores customer’s data
D. Sends marketing emails

Answer: B

Explanation: Einstein Discovery identifies patterns in data, predicts outcomes, and offers actionable recommendations.

9. Which dataset type is NOT supported by Einstein Prediction Builder?

A. Salesforce standard and custom objects
B. Third-party datasets imported via APIs
C. External datasets stored on local machines
D. Datasets from Salesforce-connected apps

Answer: C

Explanation:  Einstein Prediction Builder works with Salesforce data and connected datasets but cannot directly access datasets stored locally unless they are imported into Salesforce.

10. What does Einstein Vision work with?

A. Text data
B. Image data
C. Audio data
D. Tabular data

Answer: B

Explanation: Einstein Vision analyzes images and uses AI models to find objects, texts, and patterns in visual data.

11. Which Salesforce AI tool helps automate marketing campaigns?

A. Einstein Automate
B. Einstein Recommendations
C. Einstein Email Insights
D. Marketing Cloud AI

Answer: D

Explanation: Marketing Cloud AI helps to automate and personalize marketing campaigns using customer data and predictive analytics.

12. In Salesforce, what Einstein Bots are mainly used for?

A. Revenue forecasting
B. Customer service agent assistance
C. Email Template
D. Dashboard Building

Answer: B

Explanation: The Einstein Bot is an automated conversation technique that helps customers and enables agents to address customer queries quickly.

13. In Salesforce, the Einstein Recommendation Builder is primarily concerned with which of the following?

A. Generating leads based on customer data
B. Delivering personalized product and content recommendations
C. Automating case management workflows
D. Forecasting future sales opportunities

Answer: B

Explanation: The function of the Einstein Recommendation Builder is the generation of personal recommendations for products or content based on customer data and behaviour.

14. Which of the following Salesforce tools uses AI to provide individualized product recommendations?

A. Marketing Cloud
B. Commerce Cloud Einstein
C. Service Cloud
D. Tableau CRM

Answer: B

Explanation: Commerce Cloud Einstein provides AI-driven data insights for better product recommendations By analyzing customer behaviour, preferences, and purchase history. It also delivers personalized product recommendations.

15. Which Salesforce tool can be used to integrate AI capabilities into custom applications?

A. Salesforce AppExchange
B. Einstein Bots
C. Salesforce Apex
D. Einstein Platform Services APIs

Answer: D

Explanation:  Einstein Platform Services APIs allow developers to integrate AI capabilities such as vision, language, and predictive analytics into their custom applications.

16. Which one of the following can be best categorized as the valid use case of Salesforce Einstein Analytics?

A. Custom creation of machine learning models on image recognition
B. Provide detailed data visualizations and predictive insights
C. Replacement of manual workflows automated in salesforce
D. Manage customer email campaigns by AI

Answer: B

Explanation: Salesforce Einstein Analytics is advanced data visualizations and predictive insights that allow enterprises to analyze data trends and make well-informed decisions.

17. What does the phrase “Einstein Score” mean in Salesforce?

A. Probability to convert a lead into an opportunity.
B. Complexity in a machine learning model.
C. The performance score of an Einstein Bot.
D. The percentage of satisfaction after using Salesforce AI.

Answer: A

Explanation: Einstein Score is an indicative measure of the probability of a lead or an opportunity conversion made up of AI-driven analytics on historical data and current attributes.

18. How does the Einstein Case Classification wheel in customer service efficiency?

A. Automates real-time responses to customer queries
B. Predicts the most suitable agents to work on a case 
C. Auto-populate case fields by mining past data patterns
D. Classifies cases based on customer satisfaction scores

Answer: C

Explanation: The time adeptness of Einstein Case classification can reduce rep errors in customer interaction processes by auto-populating case fields based on historical data and its patterns.

19. What is needed for activating Einstein Vision in a Salesforce environment?

A. Obtaining the Einstein Analytics app
B. Setting up Salesforce Shield for advanced security
C. Enabling Einstein Platform Services APIs
D. Upgrading Salesforce to Enterprise Edition

Answer: C

Explanation: For enabling Einstein Vision, it requires Einstein Platform Services APIs to be set for its artificial intelligence powered image-based recognition and classification functionalities.

20. What is the purpose of salesforce AI powered Lead Scoring? 

A. It predicts whether or not an identified lead will turn into a paying customer.
B. It indicates when a lead should be followed up.
C. It helps to automatically allocate leads to qualified sales representatives.
D. It scores how well customers are satisfied.

Answer: A

Explanation: The AI powered Lead Scoring predicts the probability at which a given lead converts to be a customer based on historical data and lead behaviour which helps the sales team to act efficiently and effectively on them.

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Winding Up

These top 20 Salesforce AI Associate certification practice questions will help you thoroughly understand the exam topics and feel more prepared. Thus, you can use these practice questions to evaluate your knowledge before taking the examination.

While Salesforce AI associate certification dumps might provide a brief overview, the best way to succeed is to practice hands-on using Trailhead courses and stay current on Salesforce’s AI capabilities. 

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