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UiPath Specialized AI Professional Exam Questions And Answers

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Specialized AI - ANS AI which has been trained to perform a specific task. UiPath Communications Mining - ANS Uses a proprietary LLM with NLP capabilities. Was built and trained specifically for short-form asynchronous data, it can be considered Specialized AI. UiPath Document Understanding - ANS Utilizes both Generative and Specialized AI to classify attachments and extract relevant info from them. Tabs on AI Center Dashboard - ANS Datasets - Upload datasets Data Labeling - Create "data labeling sessions??" ML Packages - Upload custom model created w/ Python - Import ML Package (upload model previously exported from AI Center) - Out of the box packages (Premade ones by UiPath and Open Source). Pipelines - Use dataset and ML package together to produce an output --> output depends on pipeline type. ML Skills ML Logs - Any info related to ML packages i logged here - Pipeline start, etc. Pipelines in AI Center - ANS Full Pipeline - Training + Evaluation pipeline Train Run - Takes dataset --> Outputs new model version Evaluation Run - Takes dataset --> Metrics + logs Pipeline - ANS The description of an ML workflow, including the input data and the ML package. ML Package - ANS A folder with all the code and metadata needed to train and serve an ML model. ML Skills Public Mode - ANS Mode allows for robot to not be connected to the same tenant that the ML skill is running in. ML Skill connection modes - ANS Robot - Robot must be connected to the same tenant Endpoint - For public ML skills --> Hit it with an API Active Pipelines - ANS Pipelines in a project that are currently running, or scheduled. Permissions at Project Level - ANS Permissions - Datasets - Pipelines - Labeling - ML Packages - ML Skills - ML Logs (read only) - Settings: User management at project level Project Creator - ANS Added to the person who created the project. Administrators Group (Suite -> AI Center) - ANS Is added with the Users Manager role. Everyone Group (Suite -> AI Center) - ANS Is added with the Data Scientist role. Project (AI Center) - ANS An isolated group of resources, consisting of Datasets, ML Packages, Pipelines, ML Skill, and ML Logs. AI Center Role Based Access Control - Two Levels of Management - ANS 1. Project * Datasets * Pipelines * Data Labeling * ML Packages * ML Skills * ML Logs * Settings: User Management at Project Level 2. Tenant UiPath Document Manager - ANS - Import and manage documents for labeling - Define and configure fields to be extracted - Pre-label documents using an existing model - Export documents in the format expected by the Doc. Understanding models Confidence - ANS A numerical value that is meant to output an algorithm's estimation of how well it has performed a certain task. Enable Infra Settings - ANS Toggle to customize the resources and storage size for the specific deployment (ONLY ON-PREM) * Request and limit size for RAM (GB) * The request and limit size for CPU * Storage size (GB) Scheduled - ANS ML Pipeline Status - A pipeline that has been scheduled to start in the future (for example at 1am every Monday). When the date-time set for a pipeline to start running is reached, the pipeline is queued to run. Waiting For Resources - ANS ML Pipeline Status - Waiting for resources because there is no license available for the pipeline to execute. Every 5 minutes, pipeline checks for an available license to execute (this will happen if you remove running ML skills or if another pipeline is complete) and starts as soon as this is the case.) Running - ANS ML Pipeline Status -

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Subido en
6 de marzo de 2025
Número de páginas
23
Escrito en
2024/2025
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Examen
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UiPath Specialized AI Professional Exam
Questions And Answers




a
ur
la
oc
D

,Specialized AI - ANS AI which has been trained to perform a specific task.

UiPath Communications Mining - ANS Uses a proprietary LLM with NLP capabilities. Was
built and trained specifically for short-form asynchronous data, it can be considered Specialized
AI.

UiPath Document Understanding - ANS Utilizes both Generative and Specialized AI to




a
classify attachments and extract relevant info from them.

Tabs on AI Center Dashboard - ANS Datasets




ur
- Upload datasets

Data Labeling
- Create "data labeling sessions??"

ML Packages
la
- Upload custom model created w/ Python
- Import ML Package (upload model previously exported from AI Center)
- Out of the box packages (Premade ones by UiPath and Open Source).
oc
Pipelines
- Use dataset and ML package together to produce an output --> output depends on pipeline
type.

ML Skills

ML Logs
D


- Any info related to ML packages i logged here
- Pipeline start, etc.

Pipelines in AI Center - ANS Full Pipeline
- Training + Evaluation pipeline

Train Run
- Takes dataset --> Outputs new model version

Evaluation Run
- Takes dataset --> Metrics + logs

, Pipeline - ANS The description of an ML workflow, including the input data and the ML
package.

ML Package - ANS A folder with all the code and metadata needed to train and serve an
ML model.

ML Skills Public Mode - ANS Mode allows for robot to not be connected to the same tenant
that the ML skill is running in.

ML Skill connection modes - ANS Robot
- Robot must be connected to the same tenant
Endpoint




a
- For public ML skills --> Hit it with an API

Active Pipelines - ANS Pipelines in a project that are currently running, or scheduled.




ur
Permissions at Project Level - ANS
- Datasets
- Pipelines
- Labeling
- ML Packages
Permissions
la
- ML Skills
- ML Logs (read only)
- Settings: User management at project level
oc
Project Creator - ANS Added to the person who created the project.

Administrators Group (Suite -> AI Center) - ANS Is added with the Users Manager role.

Everyone Group (Suite -> AI Center) - ANS Is added with the Data Scientist role.

Project (AI Center) - ANS An isolated group of resources, consisting of Datasets, ML
D


Packages, Pipelines, ML Skill, and ML Logs.

AI Center Role Based Access Control - Two Levels of Management - ANS 1. Project
* Datasets
* Pipelines
* Data Labeling
* ML Packages
* ML Skills
* ML Logs
* Settings: User Management at Project Level
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