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SALESFORCE-AI-ASSOCIATE Overview:
Exam Detail | Information |
---|---|
Exam Cost | $200 USD |
Total Time | 105 minutes |
Available Languages | English |
Passing Marks | 70% |
Exam Format | Multiple Choice Questions (MCQs) |
Exam Type | Proctored Online or In-person |
Prerequisite | Salesforce Certified Administrator |
Retake Policy | 24 hours waiting period |
Salesforce Certified AI Associate Exam Topics Breakdown:
Exam Topic | Percentage |
---|---|
Introduction to Salesforce AI | 15% |
AI Data and Feature Engineering | 20% |
Model Training and Evaluation | 25% |
Deployment and Monitoring | 20% |
Ethical and Responsible AI | 10% |
Salesforce AI Use Cases and Integration | 10% |
Salesforce AI Associate Credential EXAM
The foundations and potential of AI and data as they relate to CRM are the main topics of the AI Associate Credentialing Exam. The exam is designed for people of all backgrounds, including professionals and corporate executives who may have some understanding of artificial intelligence (AI), regardless of their level of experience. Advanced technical certifications in the same field will be made possible by this certification, which will confirm fundamental abilities in ethical AI and data use.
Target audience description for Salesforce Certified AI Associate exam
Candidates for Salesforce Certified AI Associates should be able to navigate Salesforce and possess a basic understanding of its features. Those who wish to demonstrate their knowledge, expertise, or experience in any of the following areas can take the Salesforce Certified AI Associate Exam.
- 1. Understanding AI fundamentals and its various forms, including computer vision, machine learning, NLP, and predictive analytics
- 2. Salesforce's Trusted AI Principles, specifically concerning CRM platforms such as Salesforce and its assortment of goods
- 3. The function of data governance, data preparation/cleansing, and data quality in AI model training and optimization
- 4. Processing data in an ethical and responsible manner, taking into account privacy, bias, security, and compliance issues
- 5. Capacity to undertake insightful conversations about how AI may help stakeholders better their businesses and various scenarios
Formatting breakdown for Salesforce AI Associate Exam
- • Content: 40 multiple-choice questions
- • Time allotted to complete the exam: 70 minutes
- • Passing score: 65%
- • Registration fee: USD75 plus applicable taxes as required per local law
- • Retake fee: Free
- • Delivery options: Proctored exam delivered onsite at a testing center or in an online proctored environment.
- • References: No hard-copy or online materials may be referenced during the exam.
- • Prerequisite: None
Outline breakdown for Salesforce Certified AI Associate Exam
Topic | Percentage | Description |
---|---|---|
AI Fundamentals | 17% |
|
AI Capabilities in CRM | 8% |
|
Ethical Considerations of AI | 39% |
|
Data for AI | 36% |
|
Master Your Exam with Salesforce AI Associate real exam Questions
The Salesforce AI Associate exam is quite well-known among those pursuing IT careers. Hundreds of people sit for this exam each year in an attempt to become certified as Salesforce Associates and AI Associates. To guarantee your success in the Salesforce Certified AI Associate test, immediately purchase our updated Salesforce AI Associate Dumps PDF and ace your exam on the first go.
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Few More Salesforce-AI-Associate Exact Exam Questions:
Question # 1
A developer is tasked with selecting a suitable dataset for training an AI model in Salesforce to accurately predict current customer behavior. What is a crucial factor that the developer should consider during selection?
A. Size of the dataset
B. Number of variables in the dataset
C. Age of the dataset
Answer: A
Salesforce Salesforce-AI-Associate Frequently Asked Questions
Question # 1
What is the key difference between generative and predictive AI?
A. Generative AI creates new content based on existing data and predictive AI analyzes existing data.
B. Generative AI finds content similar to existing data and predictive AI analyzes existing data.
C. Generative AI analyzes existing data and predictive AI creates new content based on existing data.
Question # 2
What is an example of Salesforce's Trusted AI Principle of Inclusivity in practice?
A. Testing models with diverse datasets
B. Striving for model explain ability
C. Working with human rights experts
Question # 3
What is a sensitive variable that car esc to bias?
A. Education level
B. Country
C. Gender
Question # 4
A system admin recognizes the need to put a data management strategy in place.What is a key component of data management strategy?
A. Naming Convention
B. Data Backup
C. Color Coding
Question # 5
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
Question # 6
A service leader wants use AI to help customer resolve their issues quicker in a guided self-serve application. Which Einstein functionality provides the best solution?
A. Case Classification
B. Bots
C. Recommendation
Question # 7
An administrator at Cloud Kicks wants to ensure that a field is set up on the customer record so their preferred name can be captured.Which Salesforce field type should the administrator use to accomplish this?
A. Multi-Select Picklist
B. Text
C. Rich Text Area
Question # 8
What is an example of ethical debt?
A. Violating a data privacy law and falling to pay fines
B. Launching an AI feature after discovering a harmful bias
C. Delaying an AI product launch to retrain an AI data model
Question # 9
What are the three commonly used examples of AI in CRM?
A. Predictive scoring, reporting, Image classification
B. Predictive scoring, forecasting, recommendations
C. Einstein Bots, face recognition, recommendations
Question # 10
What is the role of Salesforce Trust AI principles in the context of CRM system?
A. Guiding ethical and responsible use of AI
B. Providing a framework for AI data model accuracy
C. Outlining the technical specifications for AI integration
Question # 11
What is a key characteristic of machine learning in the context of AI capabilities?
A. Uses algorithms to learn from data and make decisions
B. Relies on preprogrammed rules to make decisions
C. Can perfectly mimic human intelligence and decision-making
Question # 12
What is the rile of data quality in achieving AI business Objectives?
A. Data quality is unnecessary because AI can work with all data types.
B. Data quality is required to create accurate AI data insights.
C. Data quality is important for maintain Ai data storage limits
Question # 13
A healthcare company implements an algorithm to analyze patient data and assist in medical diagnosis.Which primary role does data Quality play In this AI application?
A. Enhanced accuracy and reliability of medical predictions and diagnoses
B. Ensured compatibility of AI algorithms with the system's Infrastructure
C. Reduced need for healthcare expertise in interpreting AI outouts
Question # 14
How does AI which CRM help sales representatives better understand previous customer interactions?
A. Creates, localizes, and translates product descriptions
B. Triggers personalized service replies
C. Provides call summaries
Question # 15
A financial institution plans a campaign for preapproved credit cards?How should they implement Salesforce’s Trusted AI Principle of Transparency?
A. Communicate how risk factors such as credit score can impact customer eligibility.
B. Flag sensitive variables and their proxies to prevent discriminatory lending practices.
C. Incorporate customer feedback into the model’s continuous training.
Question # 16
A data quality expert at Cloud Kicks want to ensure that each new contact contains at least an email address … Which feature should they use to accomplish this?
A. Autofill
B. Duplicate matching rule
C. Validation rule
Question # 17
To avoid introducing unintended bias to an AI model, which type of data should be omitted?
A. Transactional
B. Engagement
C. Demographic
Question # 18
Which data does Salesforce automatically exclude from marketing Cloud Einstein engagement model training to mitigate bias and ethic…
A. Geographic
B. Geographic
C. Cryptographic
Question # 19
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
Question # 20
What are the key components of the data quality standard?
A. Naming, formatting, Monitoring
B. Accuracy, Completeness, Consistency
C. Reviewing, Updating, Archiving
Question # 21
Which Einstein capability uses emails to create content for Knowledge articles?
A. Generate
B. Discover
C. Predict
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