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SF Certs > Gen AI Associate > Flashcards

Gen AI Associate Flashcards

1
Q

In Salesforce’s AI ethics, what does the principle ‘Responsible’ emphasize?

a) Maximizing profits using AI

b) Safeguarding human rights and data protection

c) Ensuring AI operates at maximum efficiency

d) Making AI systems visually appealing

A

Answer: b) Safeguarding human rights and data protection

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2
Q

In the context of Salesforce AI, what does ‘Empowerment’ emphasize?

a) Making AI autonomous

b) Augmenting human capabilities with AI

c) Making AI systems faster

d) Making AI open-source

A

Answer: b) Augmenting human capabilities with AI

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3
Q

What is the primary concern when dealing with ‘Algorithmic Bias’ in Salesforce AI?

a) Speed of algorithms

b) Cost of algorithms

c) Equitable treatment by AI systems

d) Open-source algorithms

A

Answer: c) Equitable treatment by AI systems

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4
Q

In the context of Salesforce AI, what does ‘Transparency’ emphasize?

a) Making AI systems visually appealing

b) Ensuring users understand the reasoning behind AI-driven recommendations

c) Making AI systems faster

d) Making AI open-source

A

Answer: b) Ensuring users understand the reasoning behind AI-driven recommendations

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5
Q

Which Salesforce feature emphasizes the importance of AI being paired with human ability?

a) Empowering

b) Transparent

c) Accountable

d) Inclusive

A

Answer: a) Empowering

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6
Q

Which of the following is a key consideration when implementing AI in Salesforce for improving sales forecasting?

a) The color scheme of the Salesforce dashboard
b) The number of users in the Salesforce system
c) The quality and consistency of historical sales data
d) The logo design of the company

A

Answer: c) The quality and consistency of historical sales data

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7
Q

Which of the following is NOT a Salesforce AI product?

a) Einstein Analytics

b) Salesforce Cloud

c) Einstein Voice

d) Einstein Prediction Builder

A

Answer: b) Salesforce Cloud

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8
Q

How does Salesforce AI primarily enhance the user experience in sales processes?

a) By automating routine tasks and reducing manual data entry

b) By providing real-time insights and predictive analytics to optimize sales strategies

c) By facilitating seamless collaboration between sales and marketing teams through shared insights

d) By offering advanced visualization tools for better data interpretation

A

Answer: b) By providing real-time insights and predictive analytics to optimize sales strategies

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9
Q

When integrating Salesforce AI into an existing system, which of the following challenges might a company face?

a) Ensuring data consistency between Salesforce AI and other platforms

b) Integrating AI predictions with legacy CRM systems

c) Handling the increased volume of data for AI processing

d) Managing the change in organizational workflows due to AI-driven insights

A

Answer: b) Integrating AI predictions with legacy CRM systems

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10
Q

What factors can determine the quality of data used for training AI models?

a) The age and consistency of the data

b) The volume and granularity of the data

c) The accuracy, completeness, and uniqueness of the data

d) The source and timeliness of the data

A

Answer: c) The accuracy, completeness, and uniqueness of the data

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11
Q

What is a key milestone in the Ethical AI Practice Maturity Model?

a) Implementing AI without human intervention

b) Achieving transparency in AI decision-making processes

c) Ensuring AI models are trained on large datasets

d) Integrating AI into all business processes

A

Answer: b) Achieving transparency in AI decision-making processes

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12
Q

What is data cleansing in the context of generative AI in CRM?

a) Increasing the volume of data for better AI predictions

b) Removing redundant CRM modules to streamline data flow

c) Correcting, removing, or handling corrupted, misformatted, or incomplete data

d) Upgrading to the latest CRM software version for better data compatibility

A

Answer: c) Correcting, removing, or handling corrupted, misformatted, or incomplete data

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13
Q

What are Einstein Bots?
a) Advanced visualization tools within Salesforce

b) Automated data entry tools in Salesforce CRM

c) AI-driven chatbots in Salesforce for customer service automation

d) Predictive analytics tools for sales forecasting in Salesforce

A

Answer: c) AI-driven chatbots in Salesforce for customer service automation

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14
Q

What is Einstein Knowledge?

a) A Salesforce tool for predictive analytics

b) An AI-driven chatbot system within Salesforce

c) A knowledge base system within Salesforce that uses AI to recommend articles and solutions

d) A visual analytics tool in Salesforce for creating interactive dashboards

A

Answer: c) A knowledge base system within Salesforce that uses AI to recommend articles and solutions

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15
Q

What is Einstein Prediction Builder?

a) A tool for creating custom AI models in Salesforce without code

b) A Salesforce feature for visualizing data patterns

c) An AI-driven system for customer support in Salesforce

d) A tool for integrating external AI models into Salesforce

A

Answer: a) A tool for creating custom AI models in Salesforce without code

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16
Q

What is the benefit of using Salesforce AI for your business?

a) It only provides visual analytics for business data

b) It offers automated data entry solutions for CRM

c) It harnesses AI to provide insights, automate tasks, and personalize customer experiences

d) It exclusively focuses on chatbot solutions for customer support

A

Answer: c) It harnesses AI to provide insights, automate tasks, and personalize customer experiences

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17
Q

What is the difference between Einstein Discovery and Einstein Analytics?

a) Einstein Discovery is for data visualization while Einstein Analytics is for predictive modeling

b) Einstein Discovery offers insights and recommendations based on data, while Einstein Analytics provides a platform for creating interactive dashboards and reports

c) Einstein Discovery is a chatbot solution, while Einstein Analytics is a knowledge-base system

d) Einstein Discovery focuses on external data integration, while Einstein Analytics is for internal Salesforce data only

A

Answer: b) Einstein Discovery offers insights and recommendations based on data, while Einstein Analytics provides a platform for creating interactive dashboards and reports

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18
Q

What is the difference between Einstein Vision and Einstein Prediction?

a) Einstein Vision deals with image recognition, while Einstein Prediction focuses on forecasting business outcomes

b) Einstein Vision is a data visualization tool, while Einstein Prediction is for chatbot solutions

c) Einstein Vision is for creating AI models, while Einstein Prediction is for integrating external AI models

d) Einstein Vision focuses on text analysis, while Einstein Prediction is for image analysis

A

Answer: a) Einstein Vision deals with image recognition, while Einstein Prediction focuses on forecasting business outcomes

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19
Q

How can you use Salesforce AI to build predictive models?

a) By manually inputting predictions based on intuition.

b) Using Einstein Prediction Builder to create custom AI models without coding.

c) By integrating third-party AI tools without using Salesforce’s native capabilities.

d) By only using Salesforce reports and dashboards without AI features.

A

Answer: b) Using Einstein Prediction Builder to create custom AI models without coding.

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20
Q

How can you use Salesforce AI to detect fraud and security threats?
a) By solely relying on manual transaction reviews.

b) Using Einstein Anomaly Detection to automatically identify unusual patterns in data.

c) By setting up basic email alerts for all transactions.

d) By only monitoring user login activities.

A

Answer: b) Using Einstein Anomaly Detection to automatically identify unusual patterns in data.

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21
Q

Which AI type plays a crucial role in Salesforce’s predictive text and speech recognition capabilities, enabling the platform to understand and respond to user commands accurately?

A) Computer Vision
B) Natural Language Processing (NLP)
C) Predictive Analytics

A

B) Natural Language Processing (NLP)

22
Q

Which feature of Marketing Cloud Einstein uses AI to predict consumer engagement with email and MobilePush messaging?

A) Content Selection
B) Email Recommendations
c) Engagement Scoring

A

c) Engagement Scoring

23
Q

What is a unique and distinguishing feature of deep learning in the context of AI capabilities?

A) Deep learning uses neural networks with multiple layers to learn from a large amount of data.
B) Deep learning uses historical data to predict future outcomes.
c) Deep learning uses algorithms to cleanse and prepare data for AI implementations.

A

A) Deep learning uses neural networks with multiple layers to learn from a large amount of data.

24
Q

A Salesforce consultant is discussing AI capabilities with a customer who is interested in improving their sales processes. Which type of AI would be most suitable for enhancing sales processes in Salesforce Customer 360?

A) Predictive Analytics
B) Computer Vision
C) Natural Language Processing (NLP)

A

A) Predictive Analytics

25
Q

What are the three main types of AI capabilities in Salesforce?

A) Predictive, Generative, Analytic
B) Predictive, Reactive, Analytic
C) Generative, Descriptive, Analytic

A

A) Predictive, Generative, Analytic

26
Q

Which Salesforce AI application is recommended to enhance sales processes?

A) Einstein Prediction Builder
B) Einstein Voice
C) Einstein Lead Scoring

A

C) Einstein Lead Scoring

27
Q

What is a key benefit of implementing AI in a CRM system?

A) Enhanced customer support
B) Improved platform speed
C) Reduced data governance

A

A) Enhanced customer support

28
Q

Cloud Kicks is implementing AI in its CRM system and is focusing on data management. What is the benefit of using a data management approach in AI implementation?

A) Eliminates the need for data governance
B) Reduces the amount of data in the CRM system
C) Emphasizes the importance of data quality

A

C) Emphasizes the importance of data quality

29
Q

What does GPT stand for?

A

Generative Pre-Trained Transformer; it is an AI tool trained to write like humans

30
Q

What is Machine Learning?

A

Learns and adapts based on patterns in data to make accurate predictions

31
Q

What is Generative AI?

A

Creates new content based on existed data prompted by a human

32
Q

What is an Algorithm?

A

A simple set of rules for turning an input into an output

33
Q

What is a Neural Network?

A

A web of connections, guided by weights and bias

34
Q

What is Salesforce Data Cloud?

A

Harmonizes and stores customer data at a massive scale, and transforms it into a single source of truth

35
Q

What is Deep Learning?

A

Artifical Neural Networks being developed between data points in large databases

36
Q

A consultant discusses the role of humans in AI-driven CRM processes with a customer. What is one challenge the consultant should mention about human-AI collaboration in decision-making?

A) Difficulty in interpreting AI decisions
B) High cost of AI implementation
C) Lack of technical skills in the team

A

A) Difficulty in interpreting AI decisions

37
Q

Cloud Kicks wants to implement Salesforce’s AI features. They are concerned about potential ethical and privacy challenges. What should be recommended to minimize potential AI bias?

A) Salesforce’s Trusted AI Principles
B) Demographic data to identify minority groups
C) AI Models that auto-correct bias data

A

A) Salesforce’s Trusted AI Principles

38
Q

A consultant designs a new AI model for a financial services company that offers personal loans. Which variable within their proposed model might introduce unintended bias?

A) Loan Date
B) Postal Code
C) Payment Due Date

A

B) Postal Code

38
Q

Cloud Kicks is planning to automate its customer service chat using natural language processing. According to Salesforce’s Trusted AI principles, how should this be disclosed to the customer?

A) They do not need to be informed they are chatting with AI.
B) Inform the customer that they are chatting with AI when they request a live agent.
C) Inform them at the beginning of the interaction that they are chatting with AI

A

C) Inform them at the beginning of the interaction that they are chatting with AI

39
Q

What are Salesforce’s Trusted AI Principles?

A

ARTIE

Accountable
Responsible
Transparent
Inclusive
Empowering

40
Q

What is Bias?

A

An inaccuracy that is systematically incorrect in the same direction and affects the success of the person or algorithm that contains it

41
Q

What is Disparate Impact?

A

Discriminatory practices toward a particular demographic

42
Q

What is a Premortem?

A

A pre-project meeting to set measured and realistic expectations and catch the “what went wrong” before it happens

43
Q

Cloud Kicks wants to implement AI features within its CRM system. They have expressed concerns about the quality of their existing data. What advice should be given to them regarding the importance of data quality for AI implementations?

A) Assessing data quality is only necessary for large datasets.
B) AI systems can handle any data inaccuracies.
C) Assessing and improving data quality is crucial for accurate AI predictions and insights.

A

C) Assessing and improving data quality is crucial for accurate AI predictions and insights.

44
Q

What role does data play in AI models?
A) Data is used for training and testing AI models.
B) Data is only used for validating models
C) Data is onlu used for testing models

A

A) Data is used for training and testing AI models.

45
Q

Which data quality dimension refers to the frequency and timeliness of data updates?

A) Data Source
B) Data Freshness
C) Data Leakage

A

B) Data Freshness

46
Q

A Salesforce consultant is considering the data sets to use for training AI models for a project on the Customer 360 platform. What should be considered when selecting the data sets for the AI models?

A) Duplication, accuracy, consistency, storage location and usage of the data sets
B) Age, completeness, consistency, theme, duplication, and usage of the data sets
C) Age, completeness, accuracy, consistency, duplication, and usage of the data sets

A

C) Age, completeness, accuracy, consistency, duplication, and usage of the data sets

47
Q

What is Data Leakage (also known as “hindsight bias”) ?

A

Results from using variables in your prediction model that are known only after the act of interest

48
Q

What are Data Insights?

A

Findings in your data based on thorough analysis generated by Einstein Discovery

49
Q

What is a prediction?

A

A derived value, produced by a model, that represents a possible future outcome

50
Q

What is Einstein Discovery* ?

*Requires CRM Analytics Plus license or Einstein Predictions license.

A

Statistical modeling and supervised machine learning in a no-code-required, rapid-iteration environment

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