AI Specialist unofficial practice questions
Flashcards
Flashcards
Library
Match (Coming Soon)
Computer Science - Software Engineering
View Results
user_pereira_de_andr Created by 7 mon ago
Related Decks
-
Software Engineering
Understanding GitHub and Its Role in the Developer Community
MCQ 10 Cards
-
Software Engineering
Understanding GitHub and Its Role in the Developer Community
MCQ 10 Cards
-
Software Engineering
Understanding GitHub and Its Role in the Developer Community
MCQ 10 Cards
-
Software Engineering
Understanding Version Control Systems in Software Development
MCQ 10 Cards
-
Software Engineering
Understanding Version Control Systems
MCQ 10 Cards
-
Software Engineering
Understanding Version Control Systems Advanced Concepts
MCQ 10 Cards
-
Software Engineering
Introduction to Software Quality Assurance
MCQ 10 Cards
-
Software Engineering
Introduction to Software Quality Assurance
MCQ 10 Cards
-
Software Engineering
Introduction to Software Quality Assurance
MCQ 10 Cards
-
Software Engineering
Comprehensive Flashcards on Diverse Concepts
Term / Definition 5 Cards
-
Software Engineering
Comprehensive Overview of Veeva AI and Vault CRM Innovations and Sessions
MCQ 13 Cards
-
Software Engineering
General Introduction to AI - Terminology
MCQ 13 Cards
-
Software Engineering
Understanding Key Concepts and Components in Reinforcement Learning
MCQ 10 Cards
-
Software Engineering
Understanding Key Concepts in Artificial Intelligence and Related Fields
MCQ 20 Cards
-
Software Engineering
Comprehensive Flashcards on Data Science, AI, and Machine Learning Concepts
Fill in Blanks 55 Cards
-
Software Engineering
Understanding AI Tools and Their Educational Applications
MCQ 5 Cards
-
Software Engineering
Comprehensive Guide to Networking, UX Design, and Machine Learning Concepts
MCQ 39 Cards
-
Software Engineering
Comprehensive Guide to Decision Trees, KNN, PCA, and Neural Networks in Machine Learning
MCQ 100 Cards
-
Software Engineering
AWS AI Practitioner
MCQ 100 Cards
-
Software Engineering
Comprehensive Overview of Computing Concepts and Binary Systems
MCQ 40 Cards
Cards in this deck(91)
As a data scientist needing to manage models in Einstein Studio and create prompt templates, which permission sets should you assign?
Before creating a Field Generation prompt, what must you check to ensure the field can be enabled for generative AI?
How should you begin validating that the correct fields are being masked after configuring Data Masking within the Einstein Trust Layer?
What should UC do to ensure a new Sales Email prompt template produces results comparable to the standard Sales Email prompts?
What should you recommend to resolve AI data masking rules that do not align with organizational privacy and security policies?
What is causing the problem if you cannot access Prompt Builder in the Setup menu after turning on Einstein Generative AI?
Which property of the Einstein Trust Layer should you highlight to address concerns over data exposure to third-party LLMs?
What is the cause of random failures with token limit errors in a Field Generation prompt template?
How should you include instructions on a new line in a prompt template for generating personalized emails?
Which feature in the Einstein Trust Layer helps to minimize the risks of jailbreaking and prompt injection attacks?
What should you do to customize the standard case summary response from Einstein Copilot?
Which specific use case necessitates the use of Prompt Builder to enhance the customer support team's productivity?
Which Einstein Copilot capability helps a service agent execute tasks based on available actions and answer questions using Knowledge articles?
Which API service should UC use to integrate a legacy system with Salesforce for creating a digest of account action plans?
What should you consider when configuring a prompt template to use related lists from an account?
How does the Einstein Trust Layer ensure that sensitive data is protected while generating useful and meaningful responses?
In refining its prompt design strategy, which key practices should UC prioritize to address mismatches in generated information?
Which steps should you take upon modifying masked fields to ensure quality of generated responses?
What is the main purpose of Prompt Builder in Salesforce?
Which audit data is available using the Einstein Trust Layer in conjunction with Einstein Generative AI Audit Data?
Which action should you take in the Trust Layer to confirm toxicity is being appropriately managed in LLM-generated content?
How should you apply the power of conversational AI to allow service agents to query the current fulfillment status of an order?
How should you obtain related items when creating a Sales Email with a custom prompt template?
What should the development team review in the Custom Copilot Action configuration to identify one of its core components?
How should you integrate a custom LLM into Salesforce to create personalized sales emails while ensuring security and data privacy?
What should you do to identify the root cause of a copilot custom action not delivering expected results?
Which Einstein Generative AI feature should you recommend to help a sales rep get details they might have missed during a conversation?
Which Salesforce feature should you recommend to address the time-consuming process of typing prompts for sales and service reps?
What is best practice when refining Einstein Copilot custom action instructions?
Which information does the Resolution text provide when previewing a prompt template?
How should you monitor Copilot's usability and the assignment of actions after launching a pilot program?
What is a possible explanation for poor prompt performance when case summaries do not return appropriate information?
What is the primary function of the planner service in the Einstein Copilot system?
What should you recommend to understand which prompt text is sent to the LLM and how it is masked?
Which use case functionality of Model Builder aligns with UC's request to address customer contract cancellations?
What is the reason for the preview button being greyed out when checking the response of a Flex prompt template?
What is the correct process to leverage Prompt Builder in a Salesforce org?
Which feature should you recommend to the sales team to help sales reps reach their sales quotas by providing AI-generated plans?
Which type of flow should UC use to bring data from unified Data Cloud objects to prompt templates?
Which AI model should UC use to send different emails based on customer lifetime value score and market segment?
Which use case is best supported by Salesforce Einstein Copilot's capabilities?
When would Einstein Copilot implementation be most advantageous for UC using Salesforce Service Cloud?
Which generative AI solution should new support reps use to understand the details of a case without reading through each case comment?
Which standard Copilot action helps sales reps draft personalized emails to prospects by generating text based on previous successful communications?
Which features should you recommend to improve the productivity of the service center operation using Einstein Generative AI?
How should you gather the necessary data for a prompt template to fill a custom field with information from the three most recently opened opportunities?
Where should you go to add/update actions assigned to a copilot?
Which tool should you recommend to understand multiple real-world user utterances before activating a custom copilot action?
What should you consider when using related list merge fields in a prompt template associated with an Account object?
What is the most likely explanation for why a draft email shows placeholders for attributes that could have been derived from the recipient's contact record?
Which step should UC take to improve the efficiency of addressing customer questions with AI-generated responses?
In Model Playground, which hyperparameters of an existing Salesforce-enabled foundational model can you change?
Which AI capability should UC use to offer personalized service experiences and reduce agent handling time with AI-generated email responses?
Which grounding technique should you use to include data from the related list of opportunities in a prompt template?
How should you include data from the response of an external service invocation into the prompt template?
Why should the marketing team use Einstein Copilot to personalize emails based on customer behavior, preferences, and purchase history?
Which feature should you set up to enable UC's sales team with automatic post-call visibility into competitors and products?
Which functionality in Salesforce provides generative AI replies or draft emails based on recommended Knowledge articles during a customer chat?
What is the role of the large language model (LLM) in executing an Einstein Copilot Action?
Which type of prompt template should UC use to enable its sales team to use AI to suggest recommended products from its catalog?
Explain the concept of prompt in relation to _____ and sales?
Which feature in the Einstein Trust Layer best supports UC's need for enhanced data protection and up-to-date AI capabilities?
After creating a proposed draft email, which predefined adjustment should UC choose to revise the draft with a more casual tone?
Which option is available for you to choose for the custom copilot action in Einstein Copilot?
Which steps should you take to use the content of a standard email prompt template and customize it to fully meet business requirements?
Which solution should UC use to ensure Einstein AI can draft responses from a defined data source?
What is a consideration for storing audit and feedback data for reporting purposes when implementing Einstein Generative AI?
Which grounding technique should you use to configure the system to use the most accurate and up-to-date information for email generation?
What should the data science team use to access externally-hosted models in the Salesforce Platform?
Which prompt template type should you recommend to populate a dynamic form field with a summary or description created by an LLM?
What is one criteria that Einstein Copilot for Sales uses to match similar opportunities?
How should UC achieve the ability for sales reps to explore opportunities similar to previously won opportunities in Einstein Copilot?
What should you recommend to enable sales reps to only execute prompt templates?
What is a key reason for implementing Einstein Copilot to enhance operational efficiency?
Based on the user utterance, 'Show me all the customers in New York', which standard Einstein Copilot action will the planner service use?
Which prompt template type should you use and which consideration should they review when creating a new custom prompt template?
When should you use from in relation to prompt and what?
Which solution should you implement to allow users to enter a sales order number and invoke a custom prompt template?
Which objects should UC select to configure Service AI Grounding to enhance customer service operations?
What should you consider when building prompt templates in Prompt Builder to utilize standard foundation models?
Which use case works for improving sales operation efficiency by analyzing data using AI-powered predictions in Einstein Studio?
What should you recommend to use an external large language model (LLM) in Prompt Builder?
Which combination of Einstein for Service features enables the effort to reduce overall agent handling time?
What is the significance of copilot in relation to _____ and generative?
After provisioning Data Cloud, which step must you take to make the Einstein Trust Layer option available in the production org?
What is the reason for Einstein Copilot not deleting activities from the past 7 days?
How should UC meet the requirement to enable its sales team to get insights into product and competitor names mentioned during calls?
Which AI capability should the sales team use to generate a guest summary about interests and provide recommendations based on activity preferences?
What are you able to do when the 'Enrich event logs with conversation data' setting in Einstein Copilot is enabled?
Which feature in Einstein for Service should the support team use to provide quick, relevant responses to customer inquiries?
What does a safety category score of 1 indicate in the Einstein Generative AI Toxicity Score?
Ask Our AI Tutor
Get Instant Help with Your Questions
Need help understanding a concept or solving a problem? Type your question below, and our AI tutor will provide a personalized answer in real-time!
How it works
- Ask any academic question, and our AI tutor will respond instantly with explanations, solutions, or examples.
- Browse questions and discover topic-based flashcards
- Practice with engaging flashcards designed for each subject
- Strengthen memory with concise, effective learning tools
