HELP YOU LEARN, PREPARE, AND PRACTICE FOR UIPATH-SAIAV1 EXAM SUCCESS

Help You Learn, Prepare, and Practice for UiPath-SAIAv1 exam success

Help You Learn, Prepare, and Practice for UiPath-SAIAv1 exam success

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UiPath Specialized AI Associate Exam (2023.10) Sample Questions (Q66-Q71):

NEW QUESTION # 66
Under what condition can a project be deleted in UiPath AI Center?

  • A. If it does not have any pipeline data.
  • B. If it does not have any scheduled pipelines.
  • C. If it does not have any running pipelines.
  • D. If it does not have any deployed packages.

Answer: D

Explanation:
A project in UiPath AI Center is an isolated group of resources (datasets, pipelines, packages, skills, and logs) that you use to build a specific ML solution. You can create, edit, or delete projects from the Projects page or the project's Dashboard page. However, you can only delete a project if it does not have any package currently deployed in a skill. A package is a versioned and deployable unit of an ML model or an OS script that can be used to create an ML skill. A skill is a consumer-ready, live deployment of a package that can be used in RPA workflows in Studio. If a project has a package deployed in a skill, you need to undeploy the skill first before deleting the project. This is to ensure that you do not accidentally delete a project that is being used by a skill12.
References: 1: AI Center - Managing Projects 2: AI Center - Managing ML Skills


NEW QUESTION # 67
What action should be performed to have the Taxonomy Manager button appear on the Ribbon, in the Wizard section?

  • A. Install UiPath.IntelligentOCR.Activities package.
  • B. Nothing to do, it should be already there.
  • C. Install UiPath.Documentunderstanding.ML.Activities package.
  • D. Install a newer version of Studio.

Answer: A

Explanation:
To enable the Taxonomy Manager button in the Ribbon, the UiPath.IntelligentOCR.Activities package must be installed. This package includes all activities related to Document Understanding, including the Taxonomy Manager.
Reference: UiPath Taxonomy Manager Setup


NEW QUESTION # 68
What is the definition of a UiPath Communications Mining data source?

  • A. The model that we create when training the platform to understand the data in those sources.
  • B. A permissioned storage area within the platform which contains communications and labels.
  • C. A collection of raw unlabeled communications data of a similar type, that can be associated with up to
    10 datasets.
  • D. A user-permissioned project containing a taxonomy with labels and entities.

Answer: C

Explanation:
According to the UiPath documentation, a data source is a raw collection of verbatims, which are text-based communications such as survey responses, emails, transcripts, or calls1. A data source can be of a similar type and share a similar intended purpose, such as capturing customer feedbackor servicing requests2. A data source can be added to up to 10 different datasets, which are collections of sources and labels that are used to train and evaluate ML models3. Therefore, the correct definition of a UiPath Communications Mining data source is A.
References:
1: Communications Mining - Sources 2: Communications Mining - Managing Sources and Datasets 3: Communications Mining - Understanding the data structure and permissions


NEW QUESTION # 69
Which UiPath product is most suitable for processing invoices?

  • A. UiPath Task Mining.
  • B. UiPath Process Mining.
  • C. UiPath Document Understanding.
  • D. UiPath Communications Mining.

Answer: C

Explanation:
UiPath Document Understanding is the most suitable product for processing invoices. It provides tools for digitization, classification, data extraction, and validation, which are ideal for structured and semi-structured documents like invoices.
Reference: UiPath Document Understanding for Invoices


NEW QUESTION # 70
What is a recommended approach for increasing response accuracy when asking the Generative Extractor a question?

  • A. Specify an output format to standardize the response.
  • B. Combine complex if-then-else type logic questions to create a better context.
  • C. Combine arithmetic operations with the question to create a better context.
  • D. Request confidence levels for predictions.

Answer: A

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
When using theGenerative Extractorin Document Understanding, the best way to increase accuracy and reliability is byspecifying a clear output format. This helps the model understand what kind of response is expected and improves parsing consistency.
* Example: "What is the invoice number? Please return in the format: InvoiceNumber: <value>"
* UiPath Documentation Reference:Using Generative Extractor - Document Understanding


NEW QUESTION # 71
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