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UiPath Certified Professional Specialized AI Professional v1.0 training torrent & UiPath-SAIv1 updated dumps & UiPath Certified Professional Specialized AI Professional v1.0 latest material

UiPath Certified Professional Specialized AI Professional v1.0 training torrent & UiPath-SAIv1 updated dumps & UiPath Certified Professional Specialized AI Professional v1.0 latest material

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UiPath Certified Professional Specialized AI Professional v1.0 Sample Questions (Q171-Q176):

NEW QUESTION # 171
How do you load a taxonomy from a given non-default location text file into a variable?
Instructions: Drag the steps found on the "Left" and drop them on the "Right" in the correct order.

Answer:

Explanation:


NEW QUESTION # 172
When is it recommended to use Main-ActionCenter in the context of the Document Understanding Process?

  • A. When implementing an attended process.
  • B. When testing locally.
  • C. When testing locally or implementing an unattended process.
  • D. When testing locally or implementing an attended process.

Answer: D

Explanation:
Main-ActionCenter is a workflow that allows you to create and manage Document Understanding actions in Action Center, which is a web application that enables human intervention in automation processes. You can use Main-ActionCenter when you want to test your Document Understanding process locally, or when you want to implement an attended process that requires human validation or classification of documents. Main- ActionCenter is not recommended for unattended processes, as they do not involve human interaction.
References: Action Center - Document Understanding activities, Document Understanding Process 22.10 now in General Availability!, How to Start a UiPath Document Understanding Project


NEW QUESTION # 173
How is the Taxonomy component used in the Document Understanding Template?

  • A. To define the document types and the pieces of information targeted for data extraction (fields) for each document type.
  • B. To organize knowledge by using a controlled vocabulary to make it easier to find related information.
  • C. To apply rigor in the taxonomy of data, ensuring any newly discovered object fits into one and only one category or object.
  • D. To apply relationship schemas other than parent-child hierarchies, such as network structures on the processed data.

Answer: A

Explanation:
According to the UiPath documentation, the Taxonomy component is used in the Document Understanding Template to define the document types and the fields that are targeted for data extraction for each document type. The Taxonomy component is the metadata that the Document Understanding framework considers in each of its steps, such as document classification and data extraction. The Taxonomy component allows you to create, edit, import, or export the taxonomy of your project, which is a collection of document types and fields that suit your specific objectives. The Taxonomy component also allows you to configure the field types, details, and validations, as well as the supported languages and categories for your documents.
References:
* Document Understanding - Taxonomy
* Document Understanding - Taxonomy Overview
* Document Understanding - Create and Configure Fields


NEW QUESTION # 174
What is the correct order of migrating a dataset from Document Manager to a Modern Project? Instructions:
Drag the Description found on the left and drop on the correct Step found on the right.

Answer:

Explanation:

Explanation:
To organize the steps in the correct order for migrating a dataset from the Document Manager to a Modern Project, I'll analyze the instructions and then match the steps accordingly. Here's the logical order based on the descriptions:
* Step 1: Navigate to and open the project into which you want to import data. Select an already existing custom document type or create a new one.
* Step 2: Select "Upload" and choose the ZIP file exported from the classic project. Wait for the upload to finish.
* Step 3: Go to the document type you want to export and select "Open document type."
* Step 4: From the "Filter documents" drop-down list, select "Training and validation set." Select
"Export."
* Step 5: Leave "Current search results" selected and fill in a name for your export job. Select
"Download."
This should reflect the correct sequential process of migrating a dataset from Document Manager to a Modern Project.


NEW QUESTION # 175
In which of the following scenarios, the ML Classifier is the only recommended classifier to be used, according to best practice?

  • A. When the custom document types are not similar and file splitting is necessary.
  • B. When the custom document types are very similar and file splitting is not necessary.
  • C. When the custom document types are not similar and file splitting is not necessary.
  • D. When the custom document types are very similar and file splitting is necessary.

Answer: B

Explanation:
The ML Classifier is a document classifier that uses a machine learning model deployed as an ML Skill in AI Center to perform document classification tasks. The ML Classifier can work by default with Invoices, Purchase Orders, Receipts, and Utility Bills, or with custom document types that are trained using the Data Manager and the Machine Learning Classifier Trainer12.
According to the best practice, the ML Classifier is the only recommended classifier to be used when the custom document types are very similar and file splitting is not necessary. This is because the ML Classifier can handle complex and ambiguous cases where the document types are hard to distinguish by rules or keywords, and can also learn from feedback and improve over time. File splitting is not necessary when the documents are single-page or have a consistent number of pages per document type3.
The other options are not correct because they are scenarios where other classifiers, such as the Keyword Based Classifier or the Intelligent Keyword Classifier, can be used in combination with the ML Classifier or instead of it. These classifiers are based on rules or keywords that can identify the document types based on their content or metadata, and can also perform file splitting if the documents are multi-page or have a variable number of pages per document type3.
References: 1: Machine Learning Classifier - UiPath Activities 2: Machine Learning Classifier Trainer - UiPath Document Understanding 3: Document Classification - UiPath Document Understanding


NEW QUESTION # 176
......

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