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Salesforce Certified AI Associate Exam (SP24)

Last Update 3 days ago
Total Questions : 101

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Question # 1

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?

Options:

A.  

Duplication

B.  

Usage

C.  

Completeness

Discussion 0
Question # 2

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

Options:

A.  

AI model training becomes slower and less efficient

B.  

AI models may produce biased or erroneous results.

C.  

AI models become more interpretable

Discussion 0
Question # 3

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

Options:

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

Discussion 0
Question # 4

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 plckllst.

Which data quality dimension is affected in this scenario?

Options:

A.  

Completeness

B.  

Accuracy

C.  

Consistency

Discussion 0
Question # 5

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

Options:

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

Discussion 0
Question # 6

What is Salesforce's Trusted AI Principle of Transparency?

Options:

A.  

The customization of AT features to meet specific business requirements

B.  

The integration of AT models with Salesforce workflows

C.  

The clear and understandable explanation of Al decisions and actions

Discussion 0
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?

Options:

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.

Discussion 0
Question # 8

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

Options:

A.  

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

B.  

Data quality is required to create accurate AI data insights.

C.  

Data quality is important for maintain Ai data storage limits

Discussion 0
Question # 9

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?

Options:

A.  

Redesign the lead conversion process,

B.  

Review and update missing lead information.

C.  

Prioritize active leads quarterly.

Discussion 0
Question # 10

What is machine learning?

Options:

A.  

AI that can grow its intelligence

B.  

AI that creates new content

C.  

A data model used in Salesforce

Discussion 0
Question # 11

What are the three commonly used examples of AI in CRM?

Options:

A.  

Predictive scoring, reporting, Image classification

B.  

Predictive scoring, forecasting, recommendations

C.  

Einstein Bots, face recognition, recommendations

Discussion 0
Question # 12

What are some of the ethical challenges associated with AI development?

Options:

A.  

Potential for human bias in machine learning algorithms and the lack of transparency in AI decision-making processes

B.  

Implicit transparency of AI systems, which makes It easy for users to understand and trust their decisions

C.  

Inherent neutrality of AI systems, which eliminates any potential for human bias in decision-making

Discussion 0
Question # 13

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

Options:

A.  

Increased brand loyalty

B.  

Higher customer acquisition costs

C.  

Improved customer trust and satisfaction

Discussion 0
Question # 14

Which features of Einstein enhance sales efficiency and effectiveness?

Options:

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

Discussion 0
Question # 15

A consultant conducts a series of Consequence Scanning workshops to support testing diverse datasets.

Which Salesforce Trusted AI Principles is being practiced>

Options:

A.  

Transparency

B.  

Inclusivity

C.  

Accountability

Discussion 0
Question # 16

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

Options:

A.  

To cleanse and prepare data for AI implementations

B.  

To interpret and understand programming language

C.  

To understand and generate human language

Discussion 0
Question # 17

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

Options:

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

Discussion 0
Question # 18

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

Options:

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

Discussion 0
Question # 19

Cloud Kicks is testing a new AI model.

Which approach aligns with Salesforce's Trusted AI Principle of Incluslvity?

Options:

A.  

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

B.  

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

C.  

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

Discussion 0
Question # 20

What should be done to prevent bias from entering an AI system when training it?

Options:

A.  

Use alternative assumptions.

B.  

Import diverse training data.

C.  

Include Proxy variables.

Discussion 0
Question # 21

A service leader wants use AI to help customer resolve their issues quicker in a guided self-serve application.

Which Einstein functionality provides the best solution?

Options:

A.  

Case Classification

B.  

Bots

C.  

Recommendation

Discussion 0
Question # 22

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

Options:

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

Discussion 0
Question # 23

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?

Options:

A.  

Enhanced accuracy and reliability of medical predictions and diagnoses

B.  

Ensured compatibility of AI algorithms with the system's Infrastructure

C.  

Reduced need for healthcare expertise in interpreting AI outouts

Discussion 0
Question # 24

Salesforce defines bias as using a person's Immutable traits to classify them or market to them.

Which potentially sensitive attribute is an example of an immutable trait?

Options:

A.  

Financial status

B.  

Nickname

C.  

Email address

Discussion 0
Question # 25

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?

Options:

A.  

Ethical AI Prediction Maturity Model

B.  

Ethical AI Process Maturity Model

C.  

Ethical AI practice Maturity Model

Discussion 0
Question # 26

How does data quality impact the trustworthiness of Al-driven decisions?

Options:

A.  

The use of both low-quality and high-quality data can improve the accuracy and reliability of AI-driven decisions.

B.  

High-quality data improves the reliability and credibility of Al-driven decisions, fostering trust among users.

C.  

Low-quality data reduces the risk of overfitting the model, improving the trustworthiness of the predictions.

Discussion 0
Question # 27

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?

Options:

A.  

Remove biased data.

B.  

Determine data availability.

C.  

Determine data outcomes.

Discussion 0
Question # 28

How does AI assist in lead qualification?

Options:

A.  

Scores leads based on customer data

B.  

Creates personalized SMS campaigns

C.  

Automatically interacts with prospects

Discussion 0
Question # 29

Cloud Kicks wants to evaluate the quality of its sales data.

Which first step should they take for the data quality assessment?

Options:

A.  

Plan and align territories,

B.  

Run a new report or dashboard.

C.  

Identify business objectives.

Discussion 0
Question # 30

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?

Options:

A.  

Duplication

B.  

Usage

C.  

Consent

Discussion 0
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