Master AI-900 exam document intelligence topics with targeted insights. Learn how Azure AI solutions like key phrase extraction and sentiment analysis drive customer experience improvements—ace your certification with actionable strategies.
Table of Contents
Question
Which of the following is a key use case for document intelligence workloads?
A. Enhancing the customer experience
B. Encryption of confidential documents
C. Optimizing application performance
D. Creating self-replicating documents
Answer
A. Enhancing the customer experience
Explanation
Document intelligence can enhance customer experiences by automating processes such as document analysis, leading to improved services. Document intelligence is a process that uses machine learning models to recognize and analyze data in text. Document intelligence streamlines processes that involve documents. For instance, imagine a customer submitting a claim to an insurance company. Document intelligence can automatically extract relevant details from the claim documents, like policy numbers and damage descriptions. This eliminates manual data entry, saving time and reducing errors, ultimately leading to faster claim processing and a smoother customer experience. Optimizing application performance is not a key use case for document intelligence workloads. Applications can be optimized through code and by selecting an appropriate application architecture.
Creating self-replicating documents is not a key use case for document intelligence workloads. The concept of self-replicating documents is unrelated to document intelligence workloads.
Encryption of confidential documents is not a key use case for document intelligence workloads. This is a security-related task.
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