Salesforce Salesforce Certifications SALESFORCE-AI-ASSOCIATE Questions & Answers

• Question 11:

  Which action introduces bias in the training data used for AI algorithms?

  A. Using a large dataset that is computationally expensive

  B. Using a dataset that represents diverse perspectives and populations

  C. Using a dataset that underrepresents perspectives and populations

  Correct Answer: C

  Introducing bias in training data for AI algorithms occurs when the dataset used underrepresents certain perspectives and populations. This type of bias can skew AI predictions, making the system less fair and accurate. For example, if a dataset predominantly contains information from one demographic group, the AI's performance may not generalize well to other groups, leading to biased or unfair outcomes. Salesforce discusses the impact of biased training data and ways to mitigate this in their AI ethics guidelines, which can be explored further in the Salesforce AI documentation on Responsible Creation of AI.

• Question 12:

  Cloud Kicks learns of complaints from customers who are receiving too many sales calls and emails.

  Which data quality dimension should be assessed to reduce these communication Inefficiencies?

  A. Duplication

  B. Usage

  C. Consent

  Correct Answer: A

  "Duplication is the data quality dimension that should be assessed to reduce communication inefficiencies. Duplication means that the data contains multiple copies or instances of the same record or value. Duplication can cause confusion, errors, or waste in data analysis and processing. For example, duplication can lead to communication inefficiencies if customers receive multiple calls or emails from different sources for the same purpose."

• Question 13:

  Cloud Kicks wants to ensure that multiple records for the same customer are removed in Salesforce.

  Which feature should be used to accomplish this?

  A. Duplicate management

  B. Trigger deletion of old records

  C. Standardized field names

  Correct Answer: A

  "Duplicate management should be used to remove multiple records for the same customer in Salesforce. Duplicate management is a feature that helps prevent and manage duplicate records in Salesforce. Duplicate management can help define matching rules, duplicate rules, and alert messages to detect and merge duplicate records."

• Question 14:

  Which best describes the different between predictive AI and generative AI?

  A. Predictive new and original output for a given input.

  B. Predictive AI and generative have the same capabilities differ in the type of input they receive: predictive AI receives raw data whereas generation AI receives natural language.

  C. Predictive AI uses machine learning to classes or predict output from its input data whereas generative AI does not use machine learning to generate its output

  Correct Answer: A

  "The difference between predictive AI and generative AI is that predictive AI analyzes existing data to make predictions or recommendations based on patterns or trends, while generative AI creates new content based on existing data or inputs. Predictive AI is a type of AI that uses machine learning techniques to learn from existing data and make predictions or recommendations based on the data. For example, predictive AI can be used to forecast sales, revenue, or demand based on historical data and trends. Generative AI is a type of AI that uses machine learning techniques to generate novel content such as images, text, music, or video based on existing data or inputs. For example, generative AI can be used to create realistic faces, write summaries, compose songs, or produce videos."

• Question 15:

  What is the main focus of the Accountability principle in Salesforce's Trusted AI Principles?

  A. Safeguarding fundamental human rights and protecting sensitive data

  B. Taking responsibility for one's actions toward customers, partners, and society

  C. Ensuring transparency In Al-driven recommendations and predictions

  Correct Answer: B

  "The main focus of the Accountability principle in Salesforce's Trusted AI Principles is taking responsibility for one's actions toward customers, partners, and society. Accountability means that AI systems should be designed and developed with respect for the impact and consequences of their actions on others. Accountability also means that AI developers and users should be aware of and adhere to the ethical, legal, and regulatory standards and expectations of their industry and domain."

• Question 16:

  Cloud Kicks wants to evaluate its data quality to ensure accurate and up-to-date records.

  Which type of records negatively impact data quality?

  A. Structured

  B. Complete

  C. Duplicate

  Correct Answer: C

  Duplicate records negatively impact data quality by creating inconsistencies and confusion in database management, leading to potential errors in customer relationship management (CRM) systems like Salesforce. Duplicates can skew analytics results, lead to inefficiencies in customer service, and result in redundant marketing efforts. Salesforce offers various tools to identify and merge duplicate records, thereby maintaining high data integrity. More about managing duplicate records in Salesforce and ensuring data quality can be found in Salesforce's documentation on duplicate management at Salesforce Duplicate Management.

• Question 17:

  Which best describes the difference between predictive AI and generative Al?

  A. Predictive AT uses machine learning to classify or predict outputs from its input data whereas generative Al does not use machine learning to generate its output.

  B. Predictive Al uses machine learning to classify or predict outputs from its input data whereas generative Al uses machine learning to generate new and original output for 4 given input

  C. Predictive Al and generative Al have the same capabilities but differ in the type of input they receive; predictive AT receives raw data whereas generative AT receives natural language.

  Correct Answer: B

  Predictive AI and generative AI represent two different applications of machine learning technologies. Predictive AI focuses on making predictions based on historical data. It analyzes past data to forecast future outcomes, such as customer churn or sales trends. On the other hand, generative AI is designed to generate new and original outputs based on the learned data patterns. This includes tasks like creating new images, text, or music that resemble the training data but do not duplicate it. Both types of AI use machine learning, but their objectives and outputs are distinct. For detailed differences and applications in a Salesforce context, Salesforce's guide on AI technologies is a helpful resource, accessible at Salesforce AI Technologies.

• Question 18:

  Cloud Kicks relies on data analysis to optimize its product recommendation; however, CK encounters a recurring Issue of Incomplete customer records, with missing contact Information and incomplete purchase histories.

  How will this incomplete data quality impact the company's operations?

  A. The accuracy of product recommendations is hindered.

  B. The diversity of product recommendations Is Improved.

  C. The response time for product recommendations is stalled.

  Correct Answer: A

  "The incomplete data quality will impact the company's operations by hindering the accuracy of product recommendations. Incomplete data means that the data is missing some values or attributes that are relevant for the AI task. Incomplete data can affect the performance and reliability of AI models, as they may not have enough information to learn from or make accurate predictions. For example, incomplete customer records can affect the quality of product recommendations, as the AI model may not be able to capture the customers' preferences, behavior, or needs."

• Question 19:

  How is natural language processing (NLP) used in the context of AI capabilities?

  A. To cleanse and prepare data for AI implementations

  B. To interpret and understand programming language

  C. To understand and generate human language

  Correct Answer: C

  "Natural language processing (NLP) is used in the context of AI capabilities to understand and generate human language. NLP can enable AI systems to interact with humans using natural language, such as speech or text. NLP can also enable AI systems to analyze and extract information from natural language data, such as documents, emails, or social media posts."

• Question 20:

  What are predictive analytics, machine learning, natural language processing (NLP), and computer vision?

  A. Different types of data models used in Salesforce

  B. Different types of automation tools used in Salesforce

  C. Different types of AI that can be applied in Salesforce

  Correct Answer: C

  Predictive analytics, machine learning, natural language processing (NLP), and computer vision are all types of artificial intelligence technologies that can be applied in Salesforce to enhance various aspects of business operations and customer interactions. Predictive analytics uses historical data to make predictions about future events. Machine learning involves algorithms that can learn from and make decisions based on data. NLP is concerned with the interactions between computers and humans using natural language, and computer vision interprets and processes visual information from the world to make sense of it in the way humans do. Salesforce harnesses these AI technologies, particularly through its Einstein platform, to provide powerful tools that help businesses automate tasks, make better decisions, and offer more personalized services. For more on how Salesforce utilizes these AI technologies, you can explore the Einstein AI services documentation at Salesforce Einstein.