TEST UIPATH-SAIAV1 OBJECTIVES PDF & UIPATH-SAIAV1 EXAM TOPICS

Test UiPath-SAIAv1 Objectives Pdf & UiPath-SAIAv1 Exam Topics

Test UiPath-SAIAv1 Objectives Pdf & UiPath-SAIAv1 Exam Topics

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UiPath Specialized AI Associate Exam (2023.10) Sample Questions (Q150-Q155):

NEW QUESTION # 150
What is one of the purposes of the Config file in the UiPath Document Understanding Template?

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

Answer: C

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 theuser 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 # 151
Which activity is used to validate and correct automatic classification outputs?

  • A. Digitize Document activity
  • B. Present Validation Station activity
  • C. Present Classification Station activity
  • D. Classify Document activity

Answer: C

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
* ThePresent Classification Stationactivity is specifically used toreview and correct the classification resultsperformed by the "Classify Document" activity.
* It allows a human to validate which document type has been assigned before data extraction begins.
* UiPath Documentation Reference:Classification Station - Document Understanding


NEW QUESTION # 152
Which are all the options for managing ML Skills?

  • A. ML skills can be created, stopped, redeployed, updated to a new package version, rolled back to a previous package version, modified to use or not use GPU. modified to use or not use Al units, made public or private, or deleted.
  • B. ML skills can be created, updated to a new package version, rolled back to a previous package version, modified to use or not use GPU. made public or private, or deleted.
  • C. ML skills can be created, stopped, redeployed, updated to a new package version, rolled back to a previous package version, modified to use or not use GPU. made public or private, or deleted.
  • D. ML skills can be created, stopped, redeployed, updated to a new package version, rolled back to a previous package version, made public or private, or deleted.

Answer: A

Explanation:
In UiPath AI Center, ML Skills can be managed in various ways, allowing users to customize and control how these skills are deployed and used. The management options include:
Creating a new ML skill.
Stopping a deployed skill.
Redeploying an ML skill.
Updating to a new package version.
Rolling back to a previous version if needed.
Modifying GPU usage.
Modifying the use of AI units.
Making the skill public or private.
Deleting an ML skill when no longer needed.
This provides flexibility for both managing the ML infrastructure and optimizing resources in real-time.
For more details, refer to:
UiPath AI Center Documentation: Managing ML Skills
ML Skill Management Options: Managing Machine Learning Skills in AI Center


NEW QUESTION # 153
What additional property does the ML Extractor have compared to the other types of extractors?

  • A. ML Skill
  • B. Endpoint
  • C. Timeout
  • D. ApiKey

Answer: A

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
TheMachine Learning Extractoractivity includes a unique property:ML Skill, which references a deployed machine learning model fromAI Center. This property allows the extractor to know which model (skill) to call for performing the data extraction.
* Other extractors like Regex or Form do not interact with AI Center and thus do not require this property.
* UiPath Documentation Reference:Machine Learning Extractor - UiPath Docs


NEW QUESTION # 154
Which of the following extractors can be used for Data Extraction Scope activity?

  • A. Regex Based Extractor. Form Extractor. Intelligent Form Extractor, and Machine Learning Extractor.
  • B. Intelligent Form Extractor, Machine Learning Extractor. Logic Extractor, and Regex Based Extractor.
  • C. Full Extractor. Machine Learning Extractor, Intelligent Form Extractor, and Regex Based Extractor.
  • D. Form Extractor Incremental Extractor Machine Learning Extractor and Intelligent Form Extractor

Answer: A

Explanation:
The Data Extraction Scope activity provides a scope for extractor activities, enabling you to configure them according to the document types defined in your taxonomy. The output of the activity is stored in an ExtractionResult variable, containing all automatically extracted data, and can be used as input for the Export Extraction Results activity. This activity also features a Configure Extractors wizard, which lets you specify exactly what fields from the document types defined in the taxonomy you want to extract1.
The extractors that can be used for Data Extraction Scope activity are:
Regex Based Extractor: This extractor enables you to use regular expressions to extract data from text documents. You can define your own expressions or use the predefined ones from the Regex Based Extractor Configuration wizard2.
Form Extractor: This extractor enables you to extract data from semi-structured documents, such as invoices, receipts, or purchase orders, based on the position and relative distance of the fields. You can define the templates for each document type using the Form Extractor Configuration wizard3.
Intelligent Form Extractor: This extractor enables you to extract data from semi-structured documents, such as invoices, receipts, or purchase orders, based on the labels and values of the fields. You can define the fields for each document type using the Intelligent Form Extractor Configuration wizard.
Machine Learning Extractor: This extractor enables you to extract data from any type of document, using a machine learning model that is trained on your data. You can use the predefined models from UiPath or your own custom models hosted on AI Center or other platforms. You can configure the fields and the model for each document type using the Machine Learning ExtractorConfiguration wizard.
References: 1: Data Extraction Scope 2: Regex Based Extractor 3: Form Extractor 4: Intelligent Form Extractor
5: Machine Learning Extractor


NEW QUESTION # 155
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