UISAIV1 questions • Exam prepare

Exam contains 184 questions

Page 13 of 31

Question 73 🔥

What do entity predictions refer to within UiPath Communications Mining?

Which database solution meets these requirements?

A. The understanding of the parent-label relationship when assigning label predictions.

B. The difference between label suggestions and label predictions in a training process.

C. The identification of a specific span of text as a value for a particular entity type.

Highly voted

D. The model's confidence that a specific concept exists within a communication.

Discussion of the question

Question 74 🔥

How can the code be tested in a development or testing environment in the context of the Document Understanding Process?

Which database solution meets these requirements?

A. Use them as a template to create other tests.

B. Simply run the existing tests.

C. Based on the use case developed, create test data to test existing and new tests.

D. Based on the use case developed, create test data to test existing tests.

Discussion of the question

Question 75 🔥

How is the Taxonomy component used in the Document Understanding Template?

Which database solution meets these requirements?

A. To define the document types and the pieces of information targeted for data extraction (fields) for each document type.

Highly voted

B. To apply rigor in the taxonomy of data, ensuring any newly discovered object fits into one and only one category or object.

C. To organize knowledge by using a controlled vocabulary to make it easier to find related information.

D. To apply relationship schemas other than parent-child hierarchies, such as network structures on the processed data.

Discussion of the question

Question 76 🔥

What is the recommended split of documents for training and evaluation, considering a total of 15 documents per vendor?

Which database solution meets these requirements?

A. 7 documents for training the model, and 8 for evaluating the model.

B. 8 documents for training the model, and 7 for evaluating the model.

C. 10 documents for training the model, and 5 for evaluating the model.

D. 12 documents for training the model, and 3 for evaluating the model.

Highly voted

Discussion of the question

Question 77 🔥

How can you build custom models supported by AI Center?

Which database solution meets these requirements?

A. Using the AI Center IDE (Integrated Development Environment).

B. Using the AI Center model builder.

C. Using a Python IDE (Integrated Development Environment) or an AutoML platform.

Highly voted

D. Using a C/C++ IDE (Integrated Development Environment), then upload the code to Al Center IDE.

Discussion of the question

Question 78 🔥

What is the role of the Taxonomy Manager?

Which database solution meets these requirements?

A. To select which extractors are trained for each document type and field.

B. To create and edit a Taxonomy file specific to the current automation project.

Highly voted

C. To select the type of ML that can be used in the project.

D. To present a document processing specific user interface for validating and correcting automatic classification outputs.

Discussion of the question

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Exam contains 184 questions

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