More Question sets for Salesforce Certified Associate: Salesforce Certified AI Associate Question Sets
Number of Questions in this Set: 20
Q.1 In the context of Salesforce’s Trusted AI Principles what does the principle of Empowerment primarily aim to achieve?
- Empower users of all skill level to build AI application with clicks, not code.
- Empower users to contribute to the growing body of knowledge of leading AI research.
- Empower users to solve challenging technical problems using neural networks.
Answer
A. Empower users of all skill level to build AI application with clicks, not code.
Q.2 The Cloud Kicks technical team is assessing the effectiveness of their AI development processes.
Which established Salesforce Ethical Maturity Model should the team use to guide the development of trusted AI solutions?
- Ethical AI Prediction Maturity Model.
- Ethical AI Practice Maturity Model.
- Ethical AI Process Maturity Model.
Answer
B. Ethical AI Practice Maturity Model.
Q.3 A consultant conducts a series of Consequence Scanning workshops to support testing diverse datasets.
Which Salesforce Trusted AI Principles is being practiced?
- Transparency
- Inclusivity
- Accountability
Answer
B. Inclusivity.
Q.4 Why is it critical to consider privacy concerns when dealing with AI and CRM data?
- Ensures compliance with laws and regulations.
- Confirms the data is accessible to all users.
- Increases the volume of data collected.
Answer
A. Ensures compliance with laws and regulations.
Q.5 A service leader wants use AI to help customer resolve their issues quicker in a guided self-serve application.
Which Einstein functionality provides the best solution?
- Case Classification
- Bots
- Recommendation
Answer
B. Bots
Q.6 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 AI is most suitable for this scenario?
- Natural language processing.
- Predictive analytics.
- Computer vision.
Answer
A. Natural language processing.
Q.7 Cloud Kicks wants to use AI to enhance its sales processes and customer support.
Which capability should they use?
- Sales Path and Automated Case Escalations.
- Einstein Lead Scoring and Case Classification.
- Dashboard of Current Leads and Cases.
Answer
B. Einstein Lead Scoring and Case Classification.
Q.8 A system admin recognizes the need to put a data management strategy in place.
What is a key component of data management strategy?
- Naming Convention.
- Data Backup.
- Color Coding.
Answer
B. Data Backup.
Q.9 what is the role of data quality in achieving AI business objectives?
- Data quality is required to create accurate AI data insights
- Data quality is important for maintaining AI data storage limits.
- Data quality is unnecessary because AI can work with all data types.
Answer
A. Data quality is required to create accurate AI data insights
Q.10 A financial institution plans a campaign for preapproved credit cards.
How should they implement Salesforce’s Trusted AI Principle of Transparency?
- Communicate how risk factors such as credit score can impact customer eligibility.
- Flag sensitive variables and their proxies to prevent discriminatory lending practices.
- Incorporate customer feedback into the model’s continuous training.
Answer
B. Flag sensitive variables and their proxies to prevent discriminatory lending practices.
Q.11 Which Einstein capability uses emails to create content for Knowledge articles?
- Predict.
- Discover.
- Generate.
Answer
C. Generate.
Q.12 What is a potential outcome of using poor-quality data in AI applications?
- AI models may produce biased or erroneous results.
- AI models become more interpretable.
- AI model training becomes slower and less efficient.
Answer
A. AI models may produce biased or erroneous results.
Q.13 How does a data quality assessment impact business outcomes for companies using AI?
- Provides a benchmark for AI predictions.
- Accelerates the delivery of new AI solutions.
- Improves the speed of AI recommendations.
Answer
A. Provides a benchmark for AI predictions.
Q.14 Which action should be taken to develop and implement trusted generated AI with Salesforce’s safety guideline in mind?
- Develop right-sized models to reduce our carbon footprint.
- Create guardrails that mitigates toxicity and protect PII
- Be transparent when AI has created and automatically delivered content.
Answer
B. Create guardrails that mitigates toxicity and protect PII
Q.15 Cloud Kicks uses Einstein to generate predictions but is not seeing accurate results?
What to a potential mason for this?
- Poor data quality.
- The wrong product.
- Too much data.
Answer
A. Poor data quality.
Q.16 Which data does Salesforce automatically exclude from marketing Cloud Einstein engagement model training to mitigate bias and ethic and ethical risks?
- Geographic.
- Demographic.
- Cryptographic.
Answer
B. Demographic.
Q.17 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.
Answer
C. Einstein Engagement.
Q.18 Cloud Kicks learns of complaints from customers who are receiving too many sales calls and emails.
Which data quality dimension should be assessed to reduce these communication inefficiencies?
- Duplication.
- Consent.
- Usage.
Answer
A. Duplication.
Q.19 Cloud Kicks wants to use an AI model to predict the demand for shoes using historical data on sales and regional characteristics.
What is an essential data quality dimension to achieve this goal?
- Age.
- Reliability.
- Volume.
Answer
A. Age.
Q.20 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 how Prediction Builder works and a link to Salesforce’s Trusted AI Principles.
- An explanation of the prediction’s rationale and a model card that describes how the model was created.
- A marketing article of the product that clearly outlines the product’s capabilities and features.
Answer
B. An explanation of the prediction’s rationale and a model card that describes how the model was created.