AI Specialist Multiple Choice Questions Udemy Flashcards
Which feature of the Einstein Trust Layer provides transparency into how AI models make decisions, thereby enhancing user trust and accountability?
- Data Encryption
- Model Explainability
- Access Logging
- User Authentication
Model Explainability
In the context of the Einstein Trust Layer, which feature ensures compliance with data protection regulations by minimizing the collection and retention of personally identifiable information (PII)?
- Data Anonymization
- Data Minimization
- Role-based access control
- Secure Data Storage
Data Anonymization
Which grounding feature of the Einstein Trust Layer ensures that AI-generated insights are based on verified and reliable data sources?
1. Data Provenance
2. Encryption in transit
3. Multi-factor authentication
4. Access Control Lists
Data Provenance
In the context of implementing the Einstein Trust Layer, which configuration is essential for enforcing the principle of least privilege, thereby minimizing security risks associated with unauthorized data access?
- Data Anonymization
- Multi-factor authentication
- Role-based access control
- Secure Data storage
Role based access control
When managing the Einstein Trust Layer, which feature allows administrators to monitor and audit changes made to AI model configurations and data access policies to ensure compliance and accountability?
- Data encryption
- Access Logging
- Data minimization
- User authentication
- Access logging ?
Which component of the Einstein Trust Layer ensures that AI-generated insights are derived from accurate, reliable, and validated data sources, thereby maintaining the integrity of AI operations?
Which component of the Einstein Trust Layer ensures that AI-generated insights are derived from accurate, reliable, and validated data sources, thereby maintaining the integrity of AI operations?
Data provenance
Data anonymization
Role-based access control
Secure data transmission
Secure Data Transmission
A sales manager wants to automate the creation of personalized email drafts for prospects based on their interaction history and preferences. Which generative AI feature in Einstein for Sales should the manager implement to achieve this?
Einstein Lead Scoring
Einstein Opportunity Insights
Einstein Email Composer
Einstein Forecasting
Einstein Email Composer
A sales representative needs to prepare a comprehensive proposal that includes customized product recommendations and pricing based on a client’s specific needs and previous purchase behavior. Which generative AI feature in Einstein for Sales is best suited for this task?
Einstein Conversation Insights
Einstein Automate
Einstein Product Recommendation:
Einstein Analytics
Einstein Product Recommendation:
A sales team leader wants to ensure that all sales pitches are consistently high-quality and aligned with the latest product updates and market trends. Which generative AI feature in Einstein for Sales should the leader use to automatically generate updated sales pitch scripts?
Einstein Language Translation
Einstein Sales Bot
Einstein Content Generation
Einstein Voice Assistant
Einstein Content Generation
A customer support team receives a high volume of technical inquiries about a newly launched software product. To efficiently manage these inquiries, the team leader wants to implement an AI solution that can automatically generate accurate and contextually relevant responses to common technical questions, reducing the need for manual intervention. Which generative AI feature in Einstein for Service should the team leader deploy to achieve this objective?
Einstein Case Classification
Einstein Knowledge Composer
Einstein Automated Response
Einstein Next Best Action
Einstein Case Classification
A global company aims to enhance its multilingual customer support by providing real-time, accurate translations of customer inquiries and generating appropriate responses in the customer’s preferred language. Which generative AI feature in Einstein for Service is best suited to fulfill this requirement?
Einstein Language Translation
Einstein Bot Builder
Einstein Sentiment Analysis
Einstein Article Recommendations
Einstein Language Translation
A service center wants to implement an AI-driven solution that can analyze historical customer service interactions to generate comprehensive summaries and extract key information for future reference. This will aid agents in quickly understanding past issues and resolutions without manually reviewing extensive interaction logs. Which generative AI feature in Einstein for Service should the service center utilize?
Einstein Case Classification
Einstein Interaction Summarization
Einstein Next Best Action
Einstein Voice Assistant
Einstein Interaction Summarization
A financial services firm aims to develop an AI-driven tool that assists financial advisors by generating personalized investment strategies based on individual client profiles and market trends. The firm requires the tool to consider nuanced client preferences and regulatory compliance. In which scenario should the firm employ Prompt Builder to meet these business requirements effectively?
Using Prompt Builder to design prompts that incorporate client profiles and regulatory guidelines for generating investment strategies
Leveraging standard Al templates to create generic investment recommendations
Applying workflow automation to route strategy suggestions to compliance officers for approval
Integrating Al models that predict market trends without customization
Using Prompt Builder to design prompts that incorporate client profiles and regulatory guidelines for generating investment strategies
A retail company wants to enhance its customer support chatbot to handle complex queries about product customization options that are not covered by existing templates. The support team has specific guidelines on how customization options should be presented to ensure consistency and accuracy. Which scenario best illustrates the appropriate use of Prompt Builder in this context?
Integrating the chatbot with the company’s CRM to fetch customer data
Creating a custom prompt to generate detailed responses based on customization
guidelines
Utilizing pre-built Al models to handle general product inquiries
Implementing workflow automation to escalate unresolved queries to human agents
Creating a custom prompt to generate detailed responses based on customization
guidelines