AI Cert Flashcards
Deep Learning is a subset of machine learning which uses layered networks to perform decision making based on either supervised or unsupervised date. What is the name of the network that helps Deep Learning perform this decision making?
A. Neural networks
B. Rule-based systems
C. Predictive analytics
Answer - A
Neural Networks - A layered network of connections that are influenced by weights and biases.
A layer is a collection of nodes in a neural network grouped together for specific computations. Layers organize the flow of information, with input and output layers handling data and intermediate hidden layers facilitating complex feature extraction.
A weight is a numerical value assigned to the connection between nodes in a neural network. It represents the strength of influence that one node’s output has on another and adjusted during training to optimize the network’s performance in learning and making predictions.
Which of the following is an example of Deep Learning? Which of the following learning methods would be most similar to how Deep Learning works in this scenario?
A. Memorizing a list of fruit names and their corresponding features
B.Studying a set of photographs of fruits and their labels
C. Looking at examples of fruits and learning to recognize patterns without explicit instruction
D. Asking someone to describe characteristics of each fruit to you
Answer - C
A is wrong because Deep Learning involves learning patterns and features from data without explicit programming or instruction.
B s wrong because Deep Learning involves unlabeled data. Labeled data, is characteristic of supervised learning rather than Deep Learning.
D is wrong beacuse Deep Learning involves the model learning patterns and features directly from data without explicit human instructions
What is a key characteristic of machine learning in the context of AI capabilities?
A. Can perfectly mimic human intelligence and decision-making
B. Relies on preprogrammed rules to make decisions
C. Utilizes algorithms to learn from data and make decisions
Answer - C
Machine Learning is like following a recipe to bake a cake. You have a set of instructions (the recipe) and ingredients, and you use them to make the cake. Similarly, in ML, you provide the computer with a set of instructions (algorithms) and data (ingredients), and it learns from the data to accomplish tasks without being explicitly programmed.
Machine learning is the process of using large amounts of data to train a model to make predictions, instead of handcrafting an algorithm. Machine learning uses _____________ , _____________ , _____________ , and _____________, types of data.
Answer - Unstructured/Structured Data and Unsupervised/Supervised Data
Unstructured Data - Example, News Article
Structured Data - Example, Spreadsheet
Unsupervised - Unmonitored data that AI tries to find connections in the data without really knowing what it’s looking for.
Supervised - Monitored data where make sure every piece of input data has a matching, expected output that we can verify.
What are the foundational components of AI systems?
A. Algorithms, software, and hardware elements
B. Algorithms, data, and hardware infrastructure
C. Algorithms, data, and computational resources
Answer - C
Algorithms - Rules for inputs and outputs
Data - Used to train the AI
Computational Resources - physical and virtual resources
Match the AI capabilities to their everyday uses.
Numeric Prediction = ?
Classification = ?
Robotic Navigation = ?
Language Processing = ?
Options =
Stock Market
Weather Forecasting
Bank Fraud Alerts
Flagged Comments on Social Media
Phishing Emails
Roomba Vacuum
Hands Free Driving
ChatGPT
Numeric Prediction = Stock Market,
Weather Forecasting
Classification = Bank Fraud Alerts,
Flagged Comments on Social Media,
Phishing Emails
Robotic Navigation = Roomba Vacuum, Hands Free Driving
Language Processing = ChatGPT
A company wants to reduce the workload of its customer service team by offering a chatbot on its website to handle common queries. Which AI technique is best suited for this situation?
A. Visual data analysis
B. Predictive data insights
C. Natural language processing
Answer - C
Natural language processing is a chatbots way of understanding human language. Natural Language is used for chatbots in order to talk to customers and answer their questions. NLU tech helps the chatbot understand what customers say and give them good answers. This helps a lot with handling common questions and making customer support better.
In the realm of AI capabilities, what is the primary function of computer vision?
A. Analyzing and comprehending visual information
B. Improving images through image processing techniques
C. Forecasting future results using data
Answer - A
Computer vision is a type of AI that interprets and understands visual data.
What type of AI is being described?
This AI can use Machine learning techniques to produce unique outputs based on a given input.
This AI can create new content, such as text, images, or even music, by learning patterns and relationships in the input data and generating new data that fit those patterns.
A. Generative
B. Predictive
C. Probabilistic
Answer - A
Generative AI creates new content based on existing data prompted by humans
Combines algorithms and deep learning neural networks techniques to generate content that is based on the patterns it observes in other content
What type of AI is being described?
This AI Studies historical data, identifies patterns and makes predictions about the future that can better inform decisions
This AI is used for financial forecasting, fraud detection, healthcare and marketing
A. Generative
B. Predictive
C. Probabilistic
Answer - B
Predictive artificial intelligence (AI) refers to the use of machine learning to identify patterns in past events and make predictions about future events
Match the term to the scenarios
A business is using Generative AI to make art and some of the faces have unrealistic features such as 3 eyes.
A developer is using Generative AI to help code a program is feeding the AI prioteiary data to debug.
A student is using Generative AI to help write a research paper and neglects to properly cite all of the sources used.
A person is using Generative AI to make bot accounts on social media.
A company is auto installing ChatGPT on every device and encourages every employee to make a least 1 prompt a day.
A business is using Generative AI to make art and some of the faces have unrealistic features such as 3 eyes.
-Hallucinations
A developer is using Generative AI to help code a program is feeding the AI prioteiary data to debug.
-Data Security
A student is using Generative AI to help write a research paper and neglects to properly cite all of the sources used.
-Plagiarism
A person is using Generative AI to make bot accounts on social media.
-User Spoofing
A company is auto installing ChatGPT on every device and encourages every employee to make a least 1 prompt a day.
-Sustainability
Which statement best represents a significant obstacle in human-AI cooperation in decision-making?
A. AI facilitates more knowledgeable and impartial decision-making
B. AI diminishes the necessity for human participation in decision-making procedures
C. AI encourages dependence on AI, possibly reducing critical thinking and supervision
Answer - C
Over-reliance on AI can potentially lead to less critical thinking and oversight.
A business analyst (BA) is looking to boost their company’s performance by making improvements in their sales procedures and customer service.
What AI tools could the BA employ to address these requirements?
A. Lead Scoring, Opportunity forecasting, and Case Classification
B. Cleaning up sales data and ensuring proper governance of customer support data.
C. Utilizing machine learning models and predicting chatbot behavior
Answer - A
Lead scoring, opportunity forecasting, and case categorization are important AI applications for a business analyst (BA) aiming to enhance their company’s sales processes and customer support. These AI applications help the BA by providing data-driven insights, automating manual tasks, and improving decision-making processes, ultimately leading to improved sales and customer support performance.
Which Einstein capability uses emails to create content for Knowledge articles?
A. Generate
B. Predict
C. Discover
Answer - A
Einstein Generate is a natural language generation (NLG) feature that can automatically write summaries, descriptions, or recommendations based on data or text inputs. For example, Einstein Generate can analyze email conversations between agents and customers and generate draft articles for the Knowledge base.
What are some key benefits of AI in improving customer experiences in CRM?
A. Streamlines case management by categorizing and tracking customer support cases, identifying topics, and summarizing case resolutions
B. Fully automates the customer service experience, ensuring seamless automated interactions with customers
C. Improves CRM security protocols, safeguarding sensitive customer data from potential breaches and threats
Answer - A
Streamlines case management by categorizing and tracking customer support cases, identifying topics, and summarizing case resolutions. AI in CRM categorizes cases, tracks support types, prioritizes cases, monitors status, identifies topics, reasons, and closure codes, and tracks case types and channels. This leads to more personalized and efficient customer service.
What are three frequently employed examples of AI in CRM?
A. Predictive scoring, forecasting, recommendations
B. Predictive scoring, reporting, image classification
C. Einstein Bots, face recognition, recommendations
Answer - A
These are three common uses of AI in CRM involving predicting customer behavior, forecasting future trends, and providing personalized recommendations to enhance customer engagement and sales efficiency within the CRM system.
How does an organization benefit from using AI to personalize the shopping experience of online customers?
A. Customers are more likely to share personal information with a site that personalizes their experience.
B. Customers are more likely to be satisfied with their shopping experience.
C. Customers are more likely to visit competitor sites that personalize their experience.
Answer - B
Using AI to personalize the online shopping experience leads to increased customer satisfaction. This happens because personalized recommendations make shopping more convenient, engaging, and relevant, which ultimately boosts conversion rates, customer retention, and loyalty.
In what way does AI aid in the process of lead qualification?
A. Generates customized SMS marketing campaigns
B. Engages with potential customers automatically
C. Evaluates leads using customer information
Answer - C
AI assists in the lead qualification process by analyzing customer data. AI algorithms can assess various aspects of leads, such as their behavior, demographics, and interactions with a company’s website or products. By processing this information, AI can assign scores or labels to leads, indicating their likelihood to convert into customers. This automated evaluation streamlines the lead qualification process and helps sales teams prioritize their efforts on leads that are more likely to result in successful conversions.
Cloudy Computing wants to use AI to enhance its sales processes and customer support. Which capability should they use?
A. Dashboard of Current Leads and Cases
B. Sales Path and Automated Case Escalations
C. Einstein Lead Scoring and Case Classification
Answer - C
Einstein Lead Scoring enhances your sales processes and Case Classification enhances your customer support processes using AI capabilities.
Which features of Einstein enhance sales efficiency and effectiveness?
A. Opportunity Scoring, Opportunity List View, Opportunity Dashboard
B. Opportunity List View, Lead List View, Account List View
C. Opportunity Scoring, Lead Scoring, Account Insights
Answer - C
Opportunity Scoring, Lead Scoring, and Account Insights are all features of Einstein that contribute to enhancing sales efficiency and effectiveness.
A marketing manager wants to use AI to better engage with their customers. Which functionality provides the best solution?
A. Bring Your Own Model
B. Journey Optimization
C. Einstein Engagement
Answer - B
- With Salesforce Marketing Cloud Engagement.
Journey Optimization allows one to Create, test, and optimize personalized campaign variations with built-in predictive AI. Make every moment count by automating and customizing all aspects of customer engagement — including channel, content, timing, and send frequency. Scale dynamic journeys and improve productivity with AI.
A service leader plans to use AI to help customers resolve their queries more quickly with a guided self-service app. Which Einstein feature offers the most suitable solution for this?
A. Automated Chatbots
B. Categorizing Cases
C. Offer personalized recommendations
Answer - A
Chatbots in a self-service app interact with customers in real time, understand their questions, and offer quick solutions, making self-help more efficient and user-friendly.
A sales manager wants to improve Salesforce operations with AI. What AI application would offer the greatest benefits?
A. Handling and organizing data effectively
B. Generating sales-related dashboards and reports
C. Prioritizing leads and predicting sales opportunities
Answer - C
In Salesforce, AI improves sales by scoring leads and predicting future opportunities, helping leaders prioritize leads and enhance sales processes.
What is the primary benefit of using generative AI in CRM for customer support?
A. Generating more marketing emails
B. Reducing the need for human customer support agents
C. Increasing customer wait times
Answer - B
What salesforce product leverages AI to provide insights and recommendations to sales and service teams?
A. Salesforce Analytics
B. Salesforce Marketing Cloud
C. Salesforce Einstein
Answer - C
What is the purpose of Salesforce Einstein Discovery?
A. To create advanced AI models from scratch
B. To predict customer behavior based on historical data
C. To automate email marketing campaigns
Answer - B
What is the primary function of Einstein Prediction Builder?
A. To forecast future sales opportunities
B. To categorize customer support tickets
C. To design email templates
Answer - A
Which Salesforce AI application is recommended to enhance sales processes?
A. Einstein Prediction Builder.
B. Einstein Voice
C. Einstein Lead Scoring
Answer - C
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.
