What is a Key consideration regarding data quality in AI implementation?

Data's role in training and fine-tuning Salesforce AI models

Techniques from customizing AI features in Salesforce

Data's role in training and fine-tuning Salesforce AI models

Integration process of AI models with Salesforce workflows

Cloud Kicks wants to use AI to enhance its sales processes and customer support.Which capacity should they use?

Einstein Lead Scoring and Case Classification

Dashboard of Current Leads and Cases

Sales path and Automaton Case Escalations

Einstein Lead Scoring and Case Classification

Which statement exemplifies Salesforces honesty guideline when training AI models?

Ensure appropriate consent and transparency when using AI-generated responses.

Minimize the AI models carbon footprint and environment impact during training.

Ensure appropriate consent and transparency when using AI-generated responses.

Control bias, toxicity, and harmful content with embedded guardrails and guidance.

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?

Lead scoring, opportunity forecasting, and case classification

Sales data cleansing and customer support data governance

Machine learning models and chatbot predictions

Lead scoring, opportunity forecasting, and case classification

What is a key challenge of human AI collaboration in decision-making?

Creates a reliance on AI, potentially leading to less critical thinking and oversight

Leads to move informed and balanced decision-making

Creates a reliance on AI, potentially leading to less critical thinking and oversight

Reduce the need for human involvement in decision-making processes

What is a societal implication of excluding ethics in AI development?

Harm to marginalized communities

Which AI tool is a web of connections, guided by weights and biases?

Mark this item for later review,

In the context of Salesforce's Trusted Al Principles, what does the principle of Responsibility primarily focus on?

Outlining the technical specifications for Al integration

Providing a framework for data model accuracy

Which action introduces bias in the training data used for AI algorithms?

Using a dataset that underrepresents perspectives and populations

Using a large dataset that is computationally expensive

Using a dataset that represents diverse perspectives and populations

Using a dataset that underrepresents perspectives and populations

How does AI assist in lead qualification?

Scores leads based on customer data

Creates personalized SMS campaigns

Automatically interacts with prospects

Cloud Kicks relies on data analysis to optimize its product recommendations for customers.How will incomplete data quality impact the company's recommendations?

The response time for the product

Cloud Kicks prepares a dataset for an AI model and identifies some inconsistencies in the data.What is the most appropriate action the company should take?

Investigate the data inconsistencies and apply data quality techniques.

Adjust the Al model to account for the data inconsistencies.

Increase the quantity of data being used for training the model

Investigate the data inconsistencies and apply data quality techniques.

What is Salesforce's Trusted AI Principle of Transparency?

The clear and understandable explanation of Al decisions and actions

The customization of AT features to meet specific business requirements

The integration of AT models with Salesforce workflows

The clear and understandable explanation of Al decisions and actions

Which best describes the difference between predictive AI and generative Al?

Predictive Al uses machine learning to classify or predict outputs from its input data whereas generative Al uses machine learning to generate new and original output for 4 given input

Predictive AT uses machine learning to classify or predict outputs from its input data whereas generative Al does not use machine learning to generate its output.

Predictive Al uses machine learning to classify or predict outputs from its input data whereas generative Al uses machine learning to generate new and original output for 4 given input

Predictive Al and generative Al have the same capabilities but differ in the type of input they receive; predictive AT receives raw data whereas generative AT receives natural language.

What should an organization do to enforce consistency across accounts for newly entered records?

Implement naming conventions or a predefined list of user-selectable values for organization-wide records.

Merge all duplicate accounts into a single record when duplicate entries are detected.

Input the data exactly as it appears from the source, such as the company's website or social media,

Implement naming conventions or a predefined list of user-selectable values for organization-wide records.

What is one way to achieve transparency in AI?

Allow users to give feedback regarding the inferences the AI makes about them.

Establish an ethical and unbiased culture amongst those involved.

Communicate AI goals and objectives with those involved prior to all interactions.

Allow users to give feedback regarding the inferences the AI makes about them.

What is an example of ethical debt?

Launching an AI feature after discovering a harmful bias

Violating a data privacy law and failing to pay fines

Delaying an AI product launch to retrain an AI data model

Salesforce Certified AI Associate Practice Test 3 - Free Online Exam Questions 81-105

Spam

Selling illegal goods, money scams etc.

Hate Speech

Serious attack on a group.

Harassment and bullying

Harassing an individual (including doxing)

Harmful activities

Threatening or glorifying violence or serious harm, including self-harm

Adult content (Consensual)

Nudity/Sexual content

Sexual exploitation and abuse (child safety)

Sexually explicit or suggestive imagery or writing involving minors

Sexual exploitation and abuse (adults and animals)

Sexually explicit or suggestive imagery or writing involving non-consenting adults or non-humans

Plagiarism

Reusing content without attribution (link and blockquotes)

Poorly written

Not in English or has very bad formatting, grammar, and spelling

Inappropriate credential

Author's credential is offensive, spam, or impersonation

Other

Ex. Illegal content, incomplete question...

Salesforce Certified AI Associate Practice Test 3

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