Trailhead Test Prep Flashcards
Which Al 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
B Natural Language Processing (NLP)
Which feature of Marketing Cloud Einstein uses Al to predict consumer engagement with email and MobilePush messaging?
A. Content Selection
B. Email Recommendations
C. Engagement Scoring
C. Engagement Scoring
What is a unique and distinguishing feature of deep learning in the context of Al 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 Al implementations.
A. Deep learning uses neural networks with multiple layers to learn from a large amount of data.
Correct. This sets deep learning apart from other types of Al that may not use neural networks or may use them in a different way.
A Salesforce consultant is discussing AI capabilities with a customer who is interested in improving their sales processes. Which type of Al would be most suitable for enhancing sales processes in Salesforce Customer 360?
A. Predictive Analytics
B. Computer Vision
C. Natural Language Processing (NLP)
A. Predictive Analytics
Correct. This type of Al can enhance sales processes by predicting future outcomes based on historical data.
What are the three main types of Al capabilities in Salesforce?
A. Predictive, Generative, Analytic
B. Predictive, Reactive, Analytic
C. Generative, Descriptive, Analytic
A. Predictive, Generative, Analytic
Correct. Salesforce primarily offers predictive, generative, and analytic AI capabilities.
Which Salesforce Al application is recommended to enhance sales processes?
A. Einstein Prediction Builder
B. Einstein Voice
C. Einstein Lead Scoring
C. Einstein Lead Scoring
Correct. Einstein Lead Scoring is specifically designed to enhance sales processes by scoring leads based on their likelihood to convert, allowing sales teams to prioritize their efforts effectively.
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. Enhanced customer support
Correct. Enhanced customer support is a key benefit of implementing AI in CRM.
What is a unique and distinguishing feature of deep learning in the context of Al 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 Al implementations.
A. Deep learning uses neural networks with multiple layers to learn from a large amount of data.
Correct. This sets deep learning apart from other types of Al that may not use neural networks or may use them in a different way.
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. Enhanced customer support
Correct. Enhanced customer support is a key benefit of implementing AI in CRM.
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 Al 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
C. Emphasizes the importance of data quality
Correct. Data quality, preparation and cleansing, and data goverance are all essential when implementing AI.
A consultant discusses the role of humans in Al-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 Al decisions
B. High cost of Al implementation
C. Lack of technical skills in the team
A. Difficulty in interpreting Al decisions
Correct. Al decisions are often based on complex algorithms and large datasets, making them difficult for humans to interpret without sufficient expertise and understanding of AI principles.
Cloud Kicks wants to implement Salesforce’s Al features. They are concerned about potential ethical and privacy challenges. What should be recommended to minimize potential Al bias?
A. Salesforce’s Trusted AI Principles
B Demographic data to identify minority groups
C Al models that auto-correct biased data
A. Salesforce’s Trusted AI Principles
Correct. These principles guide the development and use of AI within Salesforce, ensuring that it is used ethically and responsibly, which includes minimizing potential Al bias.
A consultant designs a new Al 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
B. Postal Code
Correct. Postal codes can introduce blas as they are often correlated with soc/oeconomic status and race. This is due to historical practices such as redillning, where certain neighborhoods were marked as hazardous, often denying access to low-cost home lending to minority groups res/ding In these areas.
Which data quality dimension refers to the frequency and timeliness of data updates?
A. Data Source
B. Data Freshness
C. Data Leakage
B. Data Freshness
Correct. Data freshness refers to how up to date or current the data is, which includes the frequency and timeliness of data updates.
A Salestorce consultant is considering the data sets to use for training Al models tor a project on he Customer 360 platform. What should be considered when selecting the data sets for the Al nodels?
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
D. Al models.
C. Age, completeness, accuracy, consistency, duplication, and usage of the data sets
Correct. These are the key elements/components of data quality that are crucial when selecting data sets for AI Models
