[Q57-Q74] Latest Salesforce Salesforce-AI-Associate First Attempt, Exam real Dumps Updated [Sep-2024] : Latest Exam Prep : http://certify.vceprep.com

This page was exported from Latest Exam Prep [ http://certify.vceprep.com ]
Export date: Thu Nov 14 18:30:20 2024 / +0000 GMT

[Q57-Q74] Latest Salesforce Salesforce-AI-Associate First Attempt, Exam real Dumps Updated [Sep-2024]

Latest Salesforce Salesforce-AI-Associate First Attempt, Exam real Dumps Updated [Sep-2024]

Get the superior quality Salesforce-AI-Associate Dumps Questions from VCEPrep. Nobody can stop you from getting to your dreams now. Your bright future is just a click away!

QUESTION 57
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

QUESTION 58
Which features of Einstein enhance sales efficiency and effectiveness?

Opportunity List View, Lead List View, Account List view

Opportunity Scoring, Opportunity List View, Opportunity Dashboard

Opportunity Scoring, Lead Scoring, Account Insights

QUESTION 59
What are the key components of the data quality standard?

Reviewing, Updating, Archiving

Naming, formatting, Monitoring

Accuracy, Completeness, Consistency

QUESTION 60
Which statement exemplifies Salesforces honesty guideline when training AI models?

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 withembedded guardrails and guidance.

QUESTION 61
Cloud Kicks is testing a new AI model.
Which approach aligns with Salesforce’s Trusted AI Principle of Incluslvity?

Test only with data from a specific region or demographic to limit the risk of data leaks.

Rely on a development team with uniform backgrounds to assess the potential societal implications of the model.

Test with diverse and representative datasets appropriate for how the model will be used.

QUESTION 62
What are some key benefits of AI in improving customer experiences in CRM?

Improves CRM security protocols, safeguarding sensitive customer data from potential breaches and threats

Streamlines case management by categorizing and tracking customer support cases, identifying topics, and summarizing case resolutions

Fully automates the customer service experience, ensuring seamless automated interactions with customers

QUESTION 63
What is the most likely impact that high-quality data will have on customer relationships?

Increased brand loyalty

Higher customer acquisition costs

Improved customer trust and satisfaction

QUESTION 64
What is a potential source of bias in training data for AI models?

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.

QUESTION 65
What is an implication of user consent in regard to AI data privacy?

AI ensures complete data privacy by automatically obtaining user consent.

AI infringes on privacy when user consent is not obtained.

AI operates Independently of user privacy and consent.

QUESTION 66
Cloud Kicks relies on data analysis to optimize its product recommendation; however, CK encounters a recurring Issue of Incomplete customer records, withmissing contact Information and incomplete purchase histories.
How will this incomplete data quality impact the company’s operations?

The response time for product recommendations is stalled.

The accuracy of product recommendations is hindered.

The diversity of product recommendations Is Improved.

QUESTION 67
A marketing manager wants to use AI to better engage their customers.
Which functionality provides the best solution?

Journey Optimization

Bring Your Own Model

Einstein Engagement

QUESTION 68
How does the “right of least privilege” reduce the risk of handling sensitive personal data?

By limiting how many people have access to data

By reducing how many attributes are collected

By applying data retention policies

QUESTION 69
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 theyreceive: 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

QUESTION 70
What is a possible outcome of poor data quality?

AI models maintain accuracy but have slower response times.

Biases in data can be inadvertently learned and amplified by AI systems.

AI predictions become more focused and less robust.

QUESTION 71
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.

QUESTION 72
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

Usage

Consent

QUESTION 73
What is a societal implication of excluding ethics in AI development?

Faster and cheaper development

More innovation and creativity

Harm to marginalized communities

QUESTION 74
Which data does Salesforce automatically exclude from marketing Cloud Einstein engagement model training to mitigate bias and ethic…

Geographic

Cryptographic

Guaranteed Success with Valid Salesforce Salesforce-AI-Associate Dumps: https://www.vceprep.com/Salesforce-AI-Associate-latest-vce-prep.html

Post date: 2024-09-29 14:15:06
Post date GMT: 2024-09-29 14:15:06
Post modified date: 2024-09-29 14:15:06
Post modified date GMT: 2024-09-29 14:15:06