Artificial Intelligence Specialist|Salesforce AI Specialist Certification
Exam|Questions with Correct Answers|Explore New 568 Q&A|2024-
2025 Version;100% Accurate.( Salesforce AI Specialist Test Bank)
Correct 568
A+
Incorrect
Artificial Intelligence Specialist
568 Questions and Answers
, 1 of 568
Definition
Generative AI focuses on creating new content based on existing data.
It can be used in CRM systems to generate personalized marketing
content, synthetic data for testing, and other outputs. For customers,
generative AI provides better-targeted marketing content, offering
relevant information tailored to their needs. For teams, generative AI
accelerates the creation of marketing campaigns, allows testing across
synthetic data sets, and optimizes strategies before going live.
Give this one a try later!
Supervised learning Generator
Generative AI (genAI) Sentiment analysis
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2 of 568
Term
A Salesforce admin wants to ensure a prompt template dynamically
generates personalized summaries of open cases for each account,
using the most current data available in Salesforce. The prompt
template must access and incorporate real-time account and case
data. Which grounding technique should the admin use?
,A. Ground with Apex Merge Fields.
B. Ground with Flow Merge Fields.
C. Ground with Record Merge Fields.
Give this one a try later!
Data that is usually used for training a model and is simulated or generated, as
opposed to nonsynthetic data gathered from real sources.
B. Ground with Flow Merge Fields.
Flow Merge Fields allow you to incorporate complex logic and real-time data
into the prompt template.
C. Leverage the AI Acceptable Use Policy to block model-generated financial
advice.
Salesforce's AI Acceptable Use Policy prohibits generating financial, medical, or
legal advice, ensuring the AI complies with regulations and avoids liability.
1. Verify Data Cloud in Your Org.
2. Turn On Einstein Generative AI.
3. Set Up Einstein Trust Layer.
4. Turn On Einstein Data Collection and Storage.
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3 of 568
, Term
Why is it important to include direct instructions for the LLM to
generate only the expected type of content?
A. The LLM will not produce anything without such a direct instruction.
B. LLMs tend to generate multiple versions of the same content unless
otherwise asked.
C. To prevent the LLM from creating content about the process of
creating content.
D. Providing focus reduces the time and cost required to produce
output.
Give this one a try later!
B. It tracks every step of prompt generation and its output.
The audit trail records the entire process of prompt generation and output,
simplifying compliance monitoring for businesses.
Relies on transcription accuracy, which may vary with recording quality and speech
patterns.
Translated feedback for non-English speakers may be less precise, affecting
coaching effectiveness.
Through integrated data and privacy controls within the end-user experience.
The Einstein Trust Layer embeds security features directly into the AI's operational
processes, allowing businesses to use generative AI confidently without introducing
security risks.
Exam|Questions with Correct Answers|Explore New 568 Q&A|2024-
2025 Version;100% Accurate.( Salesforce AI Specialist Test Bank)
Correct 568
A+
Incorrect
Artificial Intelligence Specialist
568 Questions and Answers
, 1 of 568
Definition
Generative AI focuses on creating new content based on existing data.
It can be used in CRM systems to generate personalized marketing
content, synthetic data for testing, and other outputs. For customers,
generative AI provides better-targeted marketing content, offering
relevant information tailored to their needs. For teams, generative AI
accelerates the creation of marketing campaigns, allows testing across
synthetic data sets, and optimizes strategies before going live.
Give this one a try later!
Supervised learning Generator
Generative AI (genAI) Sentiment analysis
Don't know?
2 of 568
Term
A Salesforce admin wants to ensure a prompt template dynamically
generates personalized summaries of open cases for each account,
using the most current data available in Salesforce. The prompt
template must access and incorporate real-time account and case
data. Which grounding technique should the admin use?
,A. Ground with Apex Merge Fields.
B. Ground with Flow Merge Fields.
C. Ground with Record Merge Fields.
Give this one a try later!
Data that is usually used for training a model and is simulated or generated, as
opposed to nonsynthetic data gathered from real sources.
B. Ground with Flow Merge Fields.
Flow Merge Fields allow you to incorporate complex logic and real-time data
into the prompt template.
C. Leverage the AI Acceptable Use Policy to block model-generated financial
advice.
Salesforce's AI Acceptable Use Policy prohibits generating financial, medical, or
legal advice, ensuring the AI complies with regulations and avoids liability.
1. Verify Data Cloud in Your Org.
2. Turn On Einstein Generative AI.
3. Set Up Einstein Trust Layer.
4. Turn On Einstein Data Collection and Storage.
Don't know?
3 of 568
, Term
Why is it important to include direct instructions for the LLM to
generate only the expected type of content?
A. The LLM will not produce anything without such a direct instruction.
B. LLMs tend to generate multiple versions of the same content unless
otherwise asked.
C. To prevent the LLM from creating content about the process of
creating content.
D. Providing focus reduces the time and cost required to produce
output.
Give this one a try later!
B. It tracks every step of prompt generation and its output.
The audit trail records the entire process of prompt generation and output,
simplifying compliance monitoring for businesses.
Relies on transcription accuracy, which may vary with recording quality and speech
patterns.
Translated feedback for non-English speakers may be less precise, affecting
coaching effectiveness.
Through integrated data and privacy controls within the end-user experience.
The Einstein Trust Layer embeds security features directly into the AI's operational
processes, allowing businesses to use generative AI confidently without introducing
security risks.
