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UiPath Certified Professional Specialized AI Professional v1.0 Sample Questions (Q39-Q44):

NEW QUESTION # 39
Which of the following statements is correct in the context of migrating a schema from Document Manager to a Modern Project?

A. If you import a schema into a document type that already contains a schema, the import will be successful and the schema will be updated with the missing field.
B. If you import a schema into a document type that already contains a schema, the import will fail.
C. If you import a schema into a document type that already contains a schema, the import will be successful and the schema will be overridden.
D. If you import a schema into a document type that already contains a schema, the import will fail only if documents were already uploaded.

Answer: C

Explanation:
When migrating a schema from Document Manager to a Modern Project, UiPath will override any existing schema associated with the document type if you attempt to import a new schema. This behavior is confirmed in UiPath's handling of document types and schema imports, where the new schema will replace the old one, ensuring that the latest version is applied to the project. This helps maintain consistency in schema configurations during migrations, especially when schemas are updated or need to be standardized

NEW QUESTION # 40
What is one of the purposes of the Config file in the UiPath Document Understanding Template?

A. It contains the configuration settings for the UiPath Robot and Orchestrator integration.
B. It stores the API keys and authentication credentials for accessing external services.
C. It specifies the output file path and format for the processed documents.
D. It defines the input document types and formats supported by the template.

Answer: B

Explanation:
The Config file in the UiPath Document Understanding Template is a JSON file that contains various parameters and values that control the behavior and functionality of the template. One of the purposes of the Config file is to store the API keys and authentication credentials for accessing external services, such as the Document Understanding API, the Computer Vision API, the Form Recognizer API, and the Text Analysis API. These services are used by the template to perform document classification, data extraction, and data validation tasks. The Config file also allows the user to customize the template according to their needs, such as enabling or disabling human-in-the-loop validation, setting the retry mechanism, defining the custom success logic, and specifying the taxonomy of document types.
References: Document Understanding Process: Studio Template, Automation Suite - Document Understanding configuration file

NEW QUESTION # 41
When should a UiPath Communications Mining taxonomy be imported?

A. As part of the "Increase coverage" phase.
B. When new labels must be added to the taxonomy.
C. Before starting the model training.
D. After pruning and reorganizing a taxonomy.

Answer: C

Explanation:
In UiPath Communications Mining, importing a taxonomy should be done before starting model training. The taxonomy, which includes labels and categories, defines how the data will be classified and structured during the training process. It is essential to have a well-defined taxonomy to ensure accurate predictions and classifications. Importing the taxonomy before training allows the model to learn from it, enhancing its performance. Changes to the taxonomy can be made later, but the initial import is crucial at the start of the training phase to guide the model effectively.
(Source: UiPath Docs on Communications Mining)

NEW QUESTION # 42
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 relationship schemas other than parent-child hierarchies, such as network structures on the processed data.
D. To apply rigor in the taxonomy of data, ensuring any newly discovered object fits into one and only one category or object.

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 # 43
What information does the comparison between two cohorts display on the Comparison page in UiPath Communications Mining?

A. Verbatim content for each label.
B. Differences in verbatim length between Group A and Group B.
C. Total verbatim count and proportion for each label.
D. Entity count for each metadata.

Answer: C

Explanation:
According to the UiPath documentation, UiPath Communications Mining is a tool that enables you to analyze text-based communications data, such as customer feedback, support tickets, or chat transcripts, using natural language processing (NLP) and machine learning (ML) techniques1. One of the features of UiPath Communications Mining is the Comparison page, which allows you to compare two cohorts of verbatims based on different criteria, such as date range, source, metadata, or label2. The Comparison page displays the following information for each cohort3:
* Total verbatim count: The number of verbatims in the cohort.
* Proportion for each label: The percentage of verbatims in the cohort that are assigned to each label. A label is a category or a topic that is relevant for the analysis, such as sentiment, intent, or issue type.
Labels can be predefined or custom-defined by the user.
* Statistical significance: The p-value that indicates whether the difference in proportions between the two cohorts is statistically significant or not. A p-value less than 0.05 means that the difference is unlikely to be due to chance.
The Comparison page also provides a visual representation of the proportions for each label using a bar chart, and allows the user to drill down into the verbatim content for each label by clicking on the bars3. Therefore, the correct answer is A.
References:
1: About Communications Mining 2: Communications Mining - Comparing Cohorts 3: Communications Mining - Comparison Page

NEW QUESTION # 44
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