What is the key difference between generative and predictive AI?

Generative AI creates new content based on existing data and predictive AI analyzes existing data.

Generative AI finds content similar to existing data and predictive AI analyzes existing data.

Generative AI analyzes existing data and predictive AI creates new content based on existing data.

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

Leads to more informed and balanced decision making

Alerts humans to the presence of biased data

Reduces the need for human involvement

What is a key characteristic of machine learning in the context of AI capabilities?

Uses algorithms to learn from data and make decisions

Relies on preprogrammed rules to make decisions

Can perfectly mimic human intelligence and decision-making

Cloud Kicks wants to ensure that multiple records for the same customer are removed in Salesforce.Which feature should be used to accomplish this?

Trigger deletion of old records

What is machine learning?

A data model used in Salesforce

AI that can grow its intelligence

A data model used in Salesforce

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

Which action should be taken to develop and implement trusted generated AI with Salesforce's safety guideline in mind?

Create guardrails that mitigates toxicity and protect PII

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.

What is a potential source of bias in training data for AI models?

The data is skewed toward is particular demographic or source.

The data is collected in area time from sources systems.

The data is skewed toward is particular demographic or source.

The data is collected from a diverse range of sources and demographics.

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

Empower users to off 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.

Cloud Kicks wants to use Einstein Prediction Builder to determine a customer's likelihood of buying specific products; however, data quality is a...How can data quality be assessed quality?

Leverage data quality apps from AppExchange

Build a Data Management Strategy.

Build reports to expire the data quality.

Leverage data quality apps from AppExchange

A sales manager wants to improve their processes using AI in Salesforce?Which application of AI would be most beneficial?

Lead soring and opportunity forecasting

How does AI which CRM help sales representatives better understand previous customer interactions?

Creates, localizes, and translates product descriptions

Triggers personalized service replies

What is the most likely impact that high-quality data will have on customer relationships?

Improved customer trust and satisfaction

Higher customer acquisition costs

Improved customer trust and satisfaction

What is the role of Salesforce Trust AI principles in the context of CRM system?

Guiding ethical and responsible use of AI

Providing a framework for AI data model accuracy

Outlining the technical specifications for AI integration

What role does data quality play in the ethical us of AI applications?

High-quality data is essential for ensuring unbased and for fair AI decisions, promoting ethical use, and preventing discrimi...

High-quality data ensures the process of demographic attributes requires for personalized campaigns.

Low-quality data reduces the risk of unintended bias as the data is not overfitted to demographic groups.

What can bias in AI algorithms in CRM lead to?

Ethical challenges in CRM systems

Personalization and target marketing changes

Ethical challenges in CRM systems

What is an example of ethical debt?

Launching an AI feature after discovering a harmful bias

Violating a data privacy law and falling to pay fines

Launching an AI feature after discovering a harmful bias

Delaying an AI product launch to retrain an AI data model

A financial institution plans a campaign for preapproved credit cards?How should they implement Salesforce's Trusted AI Principle of Transparency?

Flag sensitive variables and their proxies to prevent discriminatory lending practices.

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.

What are the key components of the data quality standard?

Accuracy, Completeness, Consistency

Which best describes the different between predictive AI and generative AI?

Predictive new and original output for a given input.

Predictive AI and generative have the same capabilities differ in the type of input they receive: predictive AI receives raw data whereas generation AI receives natural language.

Predictive AI uses machine learning to classes or predict output from its input data whereas generative AI does not use machine learning to generate its output

What are predictive analytics, machine learning, natural language processing (NLP), and computer vision?

Different types of AI that can be applied in Salesforce

Different types of data models used in Salesforce

Different types of automation tools used in Salesforce

Different types of AI that can be applied in Salesforce

What does the term 'data completeness' refer to in the context of data quality?

The degree to which all required data points are present in the dataset

The process of aggregating multiple datasets from various databases

The ability to access data from multiple sources in real time

Cloud Kicks' latest email campaign is struggling to attract new customers.How can AI increase the company's customer email engagement?

Resend emails to inactive recipients

What is the significance of explainability of trusted AI systems?

Describes how Al models make decisions

Increases the complexity of AI models

Enhances the security and accuracy of AI models

Describes how Al models make decisions

What is the rile of data quality in achieving AI business Objectives?

Data quality is required to create accurate AI data insights.

Data quality is unnecessary because AI can work with all data types.

Data quality is required to create accurate AI data insights.

Data quality is important for maintain Ai data storage limits

What is a potential outcome of using poor-quality data in AI application?

AI models may produce biased or erroneous results.

AI model training becomes slower and less efficient

AI models may produce biased or erroneous results.

AI models become more interpretable

The Cloud 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 solution?

Ethical AI Process Maturity Model

Ethical AI Prediction Maturity Model

Ethical AI Process Maturity Model

Ethical AI practice Maturity Model

How does a data quality assessment impact business outcome for companies using AI?

Provides a benchmark for AI predictions

Improves the speed of AI recommendations

Accelerates the delivery of new AI solutions

Provides a benchmark for AI predictions

Salesforce Certified AI Associate Practice Test 2 - Free Online Exam Prep & Questions

Question 1 / 40

What is the best method to safeguard customer data privacy?

Automatically anonymize all customer data.

Track customer data consent preferences.

Archive customer data on a recurring schedule.

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