Salesforce AI Associate: Trailhead 2

What is it called when AI interprets everyday language? A. Slang translation B. Text-to-task C. Intention prediction D. Natural language processing

D. Natural language processing Slang translation: While translating slang from one language to another does pose a real challenge, it doesn't describe how AI interprets everyday language. Text-to-task: This describes the action of using text to create a task, and it can be done by various applications. Intention prediction: This describes a human trait of being able to foresee or know based on past experiences the possible outcome of a certain situation. AI doesn't have an opinion about the topic you ask about, nor does it have intentions or desires of its own. Natural language processing: Natural language processing (NLP) is the ability of a computer, and in this example, more specifically, AI, to understand human language as it is spoken and written.

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 AI models. C Data is only used for testing AI models.

Data is used for training and testing AI models. Training data is used to teach the AI model how to make predictions or decisions while testing data is used to evaluate the model's performance and accuracy.

Which Salesforce AI application is recommended to enhance sales processes? Einstein Prediction Builder Einstein Voice Einstein Lead Scoring

Einstein Lead Scoring 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.

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? Eliminates the need for data governance Reduces the amount of data in the CRM system Emphasizes the importance of data quality

Emphasizes the importance of data quality - Data quality, preparation and cleansing, and data governance are all essential when implementing Al.

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

Engagement Scoring Customer data and machine learning are used to assign scores for every contact's likelihood to engage with emails and interact with push notifications.

What is a key benefit of implementing Al in a CRM system? Enhanced customer support Improved platform speed Reduced data governance

Enhanced customer support - Enhanced customer support is a key benefit of implementing AI in CRM.

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-Al collaboration in decision-making? Difficulty in interpreting Al decisions Lack of technical skills in the team High cost of AI implementation

High cost of AI implementation - 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 AI features within its RM 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 Al systems can handle any data inaccuracies. C Assessing and improving data quality is crucial for accurate AI predictions and insights.

High-quality data is essential for Al systems as it directly impacts the accuracy and reliability of Al-driven predictions and insights.

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? Loan Date Postal Code Payment Due Date

Postal Code Postal codes can introduce bias as they are often correlated with socioeconomic status and race. This is due to historical practices such as redlining, where certain neighborhoods were marked as hazardous, often denying access to low-cost home to minority groups residing in these areas

A Salesforce consultant is discussing Al 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? Predictive Analytics Computer Vision Natural Language Processing (NLP)

Predictive Analytics This type of AI can enhance sales processes by predicting future outcomes based on historical data.

What are the three main types of AI capabilities in Salesforce? Predictive, Generative, Analytic Predictive, Reactive, Analytic Generative, Descriptive, Analytic

Predictive, Generative, Analytic Salesforce primarily offers predictive, generative, and analytic AI capabilities.

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? Salesforce's Trusted AI Principles Demographic data to identify minority groups Al models that auto-correct biased data

Salesforce's Trusted AI Principles - These principles guide the development and use of Al within Salesforce, ensuring that it is used ethically and responsibly, which includes minimizing potential Al bias.

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 Al implementations.

A Deep learning uses neural networks with multiple layers to learn from a large amount of data. This sets deep learning apart from other types of Al that may not use neural networks or may use them in a different way.

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 Data freshness refers to how up to date or current the data is, which includes the frequency and timeliness of data updates.

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

B Natural Language Processing (NLP)

What is a potential application of AI-assisted summarization? A. Creating abstract art B. Generating meeting notes from a recording C. Predicting stock prices D. Translating languages

B. Generating meeting notes from a recording Explanation: A. Creating abstract art: This option is incorrect. AI-assisted summarization is more relevant to tasks involving text and information condensation, not creating abstract art. B. Generating meeting notes from a recording: This is the correct answer. AI-assisted summarization can be helpful in condensing lengthy recordings into concise meeting notes. C. Predicting stock prices: This option is unrelated to the described application of AI-assisted summarization. D. Translating languages: AI-assisted summarization is not directly related to language translation.

What is the term for AI models that can produce an incredible variety of text, images, and sounds never seen or heard before? A. Predictive AI B. Generative AI C. Language AI D. Advanced AI

B. Generative AI Explanation: A. Predictive AI: This option is incorrect. While generative AI involves making predictions in the form of generating new content, the specific term for models creating diverse content is generative AI. B. Generative AI: This is the correct answer. Generative AI refers to models that can generate new and unique content, including text, images, and sounds. C. Language AI: This option is not as specific as "Generative AI" and does not capture the full range of capabilities described in the article. D. Advanced AI: This option is too broad and doesn't specifically highlight the ability to generate diverse content, as described in the article.

A Salesforce consultant is considering the data sets to use for training Al 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

C Age, completeness, accuracy, consistency, duplication, and usage of the data sets These are the key elements/components of data quality that are crucial when selecting data sets for AI models.

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.

C Inform them at the beginning of the interaction that they are chatting with AI. This allows customers to understand the context of their interaction and sets appropriate expectations.

What is a capability of AI models related to guided image generation? A. Creating random images without any prompts B. Identifying objects in images C. Generating images based on textual descriptions D. Recognizing human emotions in images

C. Generating images based on textual descriptions Explanation: A. Creating random images without any prompts: This option is incorrect. Guided image generation involves creating images based on specific prompts or descriptions, not random images. B. Identifying objects in images: This capability is not specifically mentioned in the context of guided image generation. C. Generating images based on textual descriptions: This is the correct answer. Guided image generation involves creating images based on textual prompts or descriptions provided to the AI model. D. Recognizing human emotions in images: This capability is not directly related to guided image generation as described in the article.

What is the nature of the predictions made by generative AI models, according to the article? A. Informed opinions B. Predictions of future events C. Sequences of words with meaning and relevance D. Personal preferences

C. Sequences of words with meaning and relevance Explanation: A. Informed opinions: This option is incorrect. Generative AI models do not have opinions; they make predictions based on learned patterns. B. Predictions of future events: The article does not mention generative AI models predicting future events; it focuses on generating sequences of words, images, and sounds. C. Sequences of words with meaning and relevance: This is the correct answer. Generative AI models predict sequences of words that are likely to have meaning and relevance to the reader. D. Personal preferences: The article does not discuss generative AI models predicting personal preferences.

If you ask a generative AI what its favorite color is, and it responds "blue," this is an example of what? A Sentience B Opinion C Prediction D Randomness

Correct: Prediction The text that a generative AI generates is really just another form of prediction. Gen AI predicts the sequence of words that are likely to have meaning and relevance to the reader. A Sentience Sentience is the ability to experience feelings and sensations, an ability gen AI doesn't possess. B Opinion -- AI doesn't have experience D Randomness -- The opposite of predictability, this is the state of lacking a pattern or principle of organization.