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Salesforce AI Associate Exam Questions and Answers 100% Pass

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Salesforce AI Associate Exam Questions and Answers 100% Pass main types of AI capabilities - Numeric Predictions Classifications Robotic Navigation Language Processing uses of AI to improve business out comes - marketing sales productivity customer service retail & commerce Natural Language Understanding (NLU) - refers to systems that handle communication between people and machines 2 Katelyn Whitman, All Rights Reserved © 2025 Natural Language Processing (NLP) - is distinct from NLU and describes a machine's ability to understand what humans mean when they speak as they naturally would to another human Named Entity Recognition (NER) - labels sequences of words and picks out the important things like names, data, and times. NER involves breaking apart sentences into segments that a computer can understand and respond to quickly. Deep Learning - refers to artificial neural networks being developed between data points in large databases Einstein Agent - drive agent productivity across the contact center Einstein Discovery - helps managers take action with predictive service KPIs Einstein Vision for Field Service - automates image classification to resolve issues faster on-site Einstein Language - brings the power of deep learning to developers Einstein Bots Tool - Einstein Bot Builder 3 Katelyn Whitman, All Rights Reserved © 2025 transformer - training large language models, relies on parallel computing AI Tech Stack - Applications Infrastructure optimization Foundational models Cloud platforms Compute hardware Natural language generation (NLG) - Structured t

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Salesforce AI Associate Exam
Questions and Answers 100% Pass


main types of AI capabilities - ✔✔Numeric Predictions


Classifications


Robotic Navigation


Language Processing


uses of AI to improve business out comes - ✔✔marketing


sales productivity


customer service


retail & commerce


Natural Language Understanding (NLU) - ✔✔refers to systems that handle

communication between people and machines




1
Katelyn Whitman, All Rights Reserved © 2025

, Natural Language Processing (NLP) - ✔✔is distinct from NLU and

describes a machine's ability to understand what humans mean when they

speak as they naturally would to another human


Named Entity Recognition (NER) - ✔✔labels sequences of words and picks

out the important things like names, data, and times. NER involves

breaking apart sentences into segments that a computer can understand

and respond to quickly.


Deep Learning - ✔✔refers to artificial neural networks being developed

between data points in large databases


Einstein Agent - ✔✔drive agent productivity across the contact center


Einstein Discovery - ✔✔helps managers take action with predictive service

KPIs


Einstein Vision for Field Service - ✔✔automates image classification to

resolve issues faster on-site


Einstein Language - ✔✔brings the power of deep learning to developers


Einstein Bots Tool - ✔✔Einstein Bot Builder


2
Katelyn Whitman, All Rights Reserved © 2025

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