Certified AI Associate Practice Questions Free – 50 Exam-Style Questions to Sharpen Your Skills
Are you preparing for the Certified AI Associate certification exam? Kickstart your success with our Certified AI Associate Practice Questions Free – a carefully selected set of 50 real exam-style questions to help you test your knowledge and identify areas for improvement.
Practicing with Certified AI Associate practice questions free gives you a powerful edge by allowing you to:
- Understand the exam structure and question formats
- Discover your strong and weak areas
- Build the confidence you need for test day success
Below, you will find 50 free Certified AI Associate practice questions designed to match the real exam in both difficulty and topic coverage. They’re ideal for self-assessment or final review. You can click on each Question to explore the details.
A developer is tasked with selecting a suitable dataset for training an AI model in Salesforce to accurately predict current customer behavior. What is a crucial factor that the developer should consider during selection?
A. Size of the dataset
B. Number of variables in the dataset
C. Age of the dataset
In the context of Salesforce's Trusted AI Principles, what does the principle of Empowerment primarily aim to achieve?
A. Empower users of all skill levels to build AI applications with clicks, not code.
B. Empower users to solve challenging technical problems using neural networks.
C. Empower users to contribute to the growing body of knowledge of leading AI research.
Which type of bias imposes a system's values on others?
A. Association
B. Automation
C. Societal
How does data quality impact the trustworthiness of AI-driven decisions?
A. High-quality data improves the reliability and credibility of AI-driven decisions, fostering trust among users.
B. The use of both low-quality and high-quality data can improve the accuracy and reliability of AI-driven decisions.
C. Low-quality data reduces the risk of overfitting the model, improving the trustworthiness of the predictions.
What is a key characteristic of machine learning in the context of AI capabilities?
A. Uses algorithms to learn from data and make decisions
B. Relies on preprogrammed rules to make decisions
C. Can perfectly mimic human intelligence and decision-making
What is one way to achieve transparency in AI?
A. Allow users to give feedback regarding the inferences the AI makes about them.
B. Establish an ethical and unbiased culture amongst those involved.
C. Communicate AI goals and objectives with those involved prior to all interactions.
Which features of Einstein enhance sales efficiency and effectiveness?
A. Opportunity Scoring, Lead Scoring, Account Insights
B. Opportunity List View, Lead List View, Account List view
C. Opportunity Scoring, Opportunity List View, Opportunity Dashboard
Cloud Kicks relies on data analysis to optimize its product recommendations; however, CK encounters a recurring issue of incomplete customer records, with missing contact information and incomplete purchase histories. How will this incomplete data quality impact the company's operations?
A. The diversity of product recommendations is improved.
B. The response time for product recommendations is stalled.
C. The accuracy of product recommendations is hindered.
What is the best method to safeguard customer data privacy?
A. Automatically anonymize all customer data.
B. Track customer data consent preferences.
C. Archive customer data on a recurring schedule.
Cloud Kicks wants to implement AI features on its Salesforce Platform but has concerns about potential ethical and privacy challenges. What should they consider doing to minimize potential AI bias?
A. Use demographic data to identify minority groups.
B. Integrate AI models that auto-correct biased data.
C. Implement Salesforce’s Trusted AI Principles.
What is the main focus of the Accountability principle in Salesforce's Trusted AI Principles?
A. Ensuring transparency in AI-driven recommendations and predictions
B. Taking responsibility for one’s actions toward customers, partners, and society
C. Safeguarding fundamental human rights and protecting sensitive data
What is a benefit of a diverse, balanced, and large dataset?
A. Training time
B. Model accuracy
C. Data privacy
Cloud Kicks wants to ensure that multiple records for the same customer are removed in Salesforce. Which feature should be used to accomplish this?
A. Duplicate management
B. Trigger deletion of old records
C. Standardized field names
What should organizations do to ensure data quality for their AI initiatives?
A. Prioritize model fine-tuning over data quality improvements.
B. Collect and curate high-quality data from reliable sources.
C. Rely on AI algorithms to automatically handle data quality issues.
What is the role of Salesforce's Trusted AI Principles in the context of CRM systems?
A. Outlining the technical specifications for AI integration
B. Providing a framework for AI data model accuracy
C. Guiding ethical and responsible use of AI
What is a potential source of bias in training data for AI models?
A. The data is collected in real time from source systems.
B. The data is collected from a diverse range of sources and demographics.
C. The data is skewed toward a particular demographic or source.
What is a key challenge of human-AI collaboration in decision-making?
A. Leads to more informed and balanced decision-making
B. Creates a reliance on AI, potentially leading to less critical thinking and oversight
C. Reduces the need for human involvement in decision-making processes
An administrator at Cloud Kicks wants to ensure that a field is set up on the customer record so their preferred name can be captured. Which Salesforce field type should the administrator use to accomplish this?
A. Text
B. Rich Text Area
C. Multi-Select Picklist
Cloud Kicks wants to optimize its business operations by incorporating AI into its CRM. What should the company do first to prepare its data for use with AI?
A. Determine data availability.
B. Determine data outcomes.
C. Remove biased data.
How does AI within CRM help sales representatives better understand previous customer interactions?
A. Creates, localizes, and translates product descriptions
B. Provides call summaries
C. Triggers personalized service replies
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?
A. Natural language processing
B. Predictive analytics
C. Computer vision
Why is it critical to consider privacy concerns when dealing with AI and CRM data?
A. Ensures compliance with laws and regulations
B. Confirms the data is accessible to all users
C. Increases the volume of data collected
What is a benefit of a diverse, balanced, and large dataset?
A. Model trainability
B. Model complexity
C. Model accuracy
How is natural language processing (NLP) used in the context of AI capabilities?
A. To understand and generate human language
B. To interpret and understand programming language
C. To cleanse and prepare data for AI implementations
What is a benefit of data quality and transparency as it pertains to bias in generative AI?
A. Chances of bias are aggravated.
B. Chances of bias are removed.
C. Chances of bias are mitigated.
A system admin recognizes the need to put a data management strategy in place. What is a key component of a data management strategy?
A. Naming Convention
B. Color Coding
C. Data Backup
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
Which statement exemplifies Salesforce's honesty guideline when training AI models?
A. Control bias, toxicity, and harmful content with embedded guardrails and guidance.
B. Ensure appropriate consent and transparency when using AI- generated responses.
C. Minimize the AI model’s carbon footprint and environmental impact during training.
A healthcare company implements an algorithm to analyze patient data and assist in medical diagnosis. Which primary role does data quality play in this AI application?
A. Enhanced accuracy and reliability of medical predictions and diagnoses
B. Reduced need for healthcare expertise in interpreting AI outputs
C. Ensured compatibility of AI algorithms with the system’s infrastructure
Cloud Kicks is testing a new AI model. Which approach aligns with Salesforce's Trusted AI Principle of Inclusivity?
A. Rely on a development team with uniform backgrounds to assess the potential societal implications of the model.
B. Test with diverse and representative datasets appropriate for how the model will be used.
C. Test only with data from a specific region or demographic to limit the risk of data leaks.
What are some key benefits of AI in improving customer experiences in CRM?
A. Streamlines case management by categorizing and tracking customer support cases, identifying topics, and summarizing case resolutions
B. Improves CRM security protocols, safeguarding sensitive customer data from potential breaches and threats
C. Fully automates the customer service experience, ensuring seamless automated interactions with customer
A business analyst (BA) wants to improve business by enhancing their sales processes and customer support. Which AI applications 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
What is the most likely impact that high-quality data will have on customer relationships?
A. Improved customer trust and satisfaction
B. Increased brand loyalty
C. Higher customer acquisition costs
A financial institution plans a campaign for preapproved credit cards. How should they implement Salesforce's Trusted AI Principle of Transparency?
A. Communicate how risk factors such as credit score can impact customer eligibility.
B. Flag sensitive variables and their proxies to prevent discriminatory lending practices.
C. Incorporate customer feedback into the model’s continuous training.
A consultant conducts a series of Consequence Scanning Workshops to support testing diverse datasets. Which Salesforce Trusted AI Principle is being practiced?
A. Accountability
B. Inclusivity
C. Transparency
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?
A. Age
B. Reliability
C. Volume
Cloud Kicks wants to develop a solution to predict customers’ product interests based on historical data. The company found that employees from one region use a text field to capture the product category, while employees from all other locations use a picklist. Which dimension of data quality is affected in this scenario?
A. Accuracy
B. Completeness
C. Consistency
To avoid introducing unintended bias to an AI model, which type of data should be omitted?
A. Demographic
B. Transactional
C. Engagement
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. Text
B. Number
C. Picklist
In the context of Salesforce's Trusted AI Principles, what does the principle of Responsibility primarily focus on?
A. Ensuring ethical use of AI
B. Outlining the technical specifications for AI integration
C. Providing a framework for data model accuracy
Which Einstein capability uses emails to create content for Knowledge articles?
A. Predict
B. Discover
C. Generate
What is a sensitive variable that can lead to bias?
A. Country
B. Gender
C. Education level
What are predictive analytics, machine learning, natural language processing (NLP), and computer vision?
A. Different types of AI that can be applied in Salesforce
B. Different types of automation tools used in Salesforce
C. Different types of data models used in Salesforce
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?
A. An explanation of how Prediction Builder works and a link to Salesforce’s Trusted AI Principles
B. A marketing article of the product that clearly outlines the product’s capabilities and features
C. An explanation of the prediction’s rationale and a model card that describes how the model was created
Which best describes the difference between predictive AI and generative AI?
A. Predictive AI and generative AI have the same capabilities but differ in the type of input they receive; predictive AI receives raw data whereas generative AI receives natural language.
B. Predictive AI uses machine learning to classify or predict outputs from its input data whereas generative AI does not use machine learning to generate its output.
C. Predictive AI uses machine learning to classify or predict outputs from its input data whereas generative AI uses machine leaning to generate new and original output for a given input.
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?
A. Duplication
B. Consent
C. Usage
Which type of bias results from data being labeled according to stereotypes?
A. Societal
B. Association
C. Interaction
A data quality expert at Cloud Kicks wants to ensure that each new contact contains at least an email address or phone number. Which feature should they use to accomplish this?
A. Validation rule
B. Autofill
C. Duplicate matching rule
What is an implication of user consent in regard to AI data privacy?
A. AI ensures complete data privacy by automatically obtaining user consent.
B. AI operates independently of user privacy and consent.
C. AI infringes on privacy when user consent is not obtained.
What is a possible outcome of poor data quality?
A. AI models maintain accuracy but have slower response times.
B. AI predictions become more focused and less robust.
C. Biases in data can be inadvertently learned and amplified by AI systems.
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