Salesforce Salesforce-AI-Associate Question Answers

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Question # 1

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

A. Creates, localizes, and translates product descriptions
B. Triggers personalized service replies
C. Provides call summaries

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Question # 2

Cloud Kicks wants to improve the quality of its AI model's predictions with the use of a large amount of data. Which data quality element should the company focus on? 

A. Accuracy
B. Location
C. Volume

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Question # 3

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

A. Merge all duplicate accounts into a single record when duplicate entries are detected.
B. Input the data exactly as it appears from the source, such as the company’s website orsocial media,
C. Implement naming conventions or a predefined list of user-selectable values fororganization-wide records.

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Question # 4

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

A. Faster and cheaper development
B. More innovation and creativity
C. Harm to marginalized communities

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Question # 5

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

A. The response time for the product
B. The accuracy of the product
C. The diversity of the product

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Question # 6

A sales manager wants to use AI to help sales representatives log their calls quicker and more accurately. Which functionality provides the best solution? 

A. Call Summaries
B. Sales Dialer
C. Auto-Generated Sales Tasks

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Question # 7

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? 

A. Adjust the Al model to account for the data inconsistencies.
B. Increase the quantity of data being used for training the model
C. Investigate the data inconsistencies and apply data quality techniques.

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Question # 8

How does poor data quality affect predictive and generative AI models?

A. Creates inaccurate results
B. Increases raw data volume
C. Decreases storage efficiency

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Question # 9

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

A. Neural networks
B. Predictive Analytics
C. Rules- based systems
D. Mark this item for later review,

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Question # 10

Cloud Kicks wants to evaluate the quality of its sales data. Which first step should they take for the data quality assessment? 

A. Plan and align territories,
B. Run a new report or dashboard.
C. Identify business objectives.

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Question # 11

How does AI assist in lead qualification?

A. Scores leads based on customer data
B. Creates personalized SMS campaigns
C. Automatically interacts with prospects

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Question # 12

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

A. Predictive AT uses machine learning to classify or predict outputs from its input datawhereas generative Al does not use machine learning to generate its output.
B. Predictive Al uses machine learning to classify or predict outputs from its input datawhereas generative Al uses machine learning to generate new and original output for 4given input
C. Predictive Al and generative Al have the same capabilities but differ in the type of inputthey receive; predictive AT receives raw data whereas generative AT receives naturallanguage.

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Question # 13

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

A. Using a large dataset that is computationally expensive
B. Using a dataset that represents diverse perspectives and populations
C. Using a dataset that underrepresents perspectives and populations

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Question # 14

What is the significance of explainability of trusted AI systems?

A. Increases the complexity of AI models
B. Enhances the security and accuracy of AI models
C. Describes how Al models make decisions

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Question # 15

Cloud Kicks wants to evaluate its data quality to ensure accurate and up-to-date records. Which type of records negatively impact data quality? 

A. Structured
B. Complete
C. Duplicate

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Question # 16

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

A. Create personalized emails
B. Resend emails to inactive recipients
C. Remove invalid email addresses

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Question # 17

A business analyst (BA) is preparing a new use case for Al. They run a report to check for null values in the attributes they plan to use. Which data quality component Is the BA verifying by checking for null values? 

A. Duplication
B. Usage
C. Completeness

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Question # 18

Cloud Kicks plans to use automated chat as its primary support channel. Which Einstein feature should they use? 

A. Discovery
B. Bots
C. Next Best Action

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Question # 19

Which type of AI can enhance customer service agents' email responses by analyzing the written content of previous emails? 

A. Natural language processing
B. Machine learning
C. Deep learning

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Question # 20

A sales manager is looking to enhance the quality of lead data in their CRM system. Which process will most likely help the team accomplish this goal? 

A. Redesign the lead conversion process,
B. Review and update missing lead information.
C. Prioritize active leads quarterly.

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Question # 21

A developer has a large amount of data, but it is scattered across different systems and is not standardized. Which key data quality element should they focus on to ensure the effectiveness of the AI models? 

A. Performance
B. Consistency
C. Volume

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Question # 22

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

A. Different types of data models used in Salesforce
B. Different types of automation tools used in Salesforce
C. Different types of AI that can be applied in Salesforce

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Question # 23

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

A. The degree to which all required data points are present in the dataset
B. The process of aggregating multiple datasets from various databases
C. The ability to access data from multiple sources in real time

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Question # 24

What is one technique to mitigate bias and ensure fairness in AI applications?

A. Ongoing auditing and monitoring of data that is used in AI applications
B. Excluding data features from the Al application to benefit a population
C. Using data that contains more examples of minority groups than majority groups

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Question # 25

What are the potential consequences of an organization suffering from poor data quality?

A. Low employee morale, stock devaluation, and inability to attract top talent
B. Revenue loss, poor customer service, and reputational damage
C. Technical debt, monolithic system architecture, and slow ETL throughput

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Question # 26

What is the main focus of the Accountability principle in Salesforce's Trusted AI Principles?
 

A. Safeguarding fundamental human rights and protecting sensitive data
B. Taking responsibility for one's actions toward customers, partners, and society
C. Ensuring transparency In Al-driven recommendations and predictions

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Question # 27

Which features of Einstein enhance sales efficiency and effectiveness? 
 

A. Opportunity List View, Lead List View, Account List view
B. Opportunity Scoring, Opportunity List View, Opportunity Dashboard
C. Opportunity Scoring, Lead Scoring, Account Insights

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Question # 28

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

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Question # 29

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? 

A. Sales data cleansing and customer support data governance
B. Machine learning models and chatbot predictions
C. Lead scoring, opportunity forecasting, and case classification

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Question # 30

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

A. Empower users to off all skill level to build AI application with clicks, not code.
B. Empower users to contribute to the growing body of knowledge of leading AI research.
C. Empower users to solve challenging technical problems using neural networks.

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Question # 31

How is natural language processing (NLP) used in the context of AI capabilities? 

A. To cleanse and prepare data for AI implementations
B. To interpret and understand programming language
C. To understand and generate human language

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Salesforce-AI-Associate Exam Overview Complete Detail:

Overview	Details
Exam Name	Salesforce AI Associate
Exam Code	Salesforce-AI-Associate
Duration	60 minutes
Number of Questions	60
Passing Score	65%
Format	Multiple-choice and multi-select questions
Language	English
Content Areas (Weight)	- Einstein Analytics Fundamentals (20%) - Data Model and Management (15%) - AI Model Building and Management (30%) - Implementation and Consulting Best Practices (20%) - Ethics and Privacy (15%)
Prerequisites	None, but experience with Salesforce recommended
Target Audience	Salesforce professionals, data analysts, AI enthusiasts
Exam Registration	Via Salesforce Certification website or testing centers
Cost	Approximately USD 200 (varies by region)
Retake Policy	Allowed after 14 days of first attempt, fees apply
Certification Validity	2 years, with maintenance exams required annually
Preparation Materials	Salesforce Trailhead modules, study guides, practice exams

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