Free UiPath UiPath-SAIv1 Practice Exam with Questions & Answers

Analyzing processes to determine optimal automation solutions.

Developing automation workflows in UiPath Studio.

Running, managing, and organizing automation workflows on the user's machine.

Scheduling and monitoring robot processes in Orchestrator.

UiPath CJK (for Chinese. Japanese. Korean).

UiPath Document OCR.

OmniPage.

Tesseract OCR.

The model makes correct predictions across the majority of the dataset.

All of the labels in the dataset have at least 25 training examples.

Many of the labels in the taxonomy have amber or red performance warnings.

2% of the dataset has been reviewed by a model trainer.

To select which extractors are trained for each document type and field.

To present a document processing specific user interface for validating and correcting automatic classification outputs.

To create and edit a Taxonomy file specific to the current automation project.

To select the type of ML that can be used in the project.

AI Center is the infrastructure on top of which UiPath Document Understanding digitization runs.

Document Understanding is the infrastructure on which AI Center digitization runs.

AI Center is the infrastructure on top of which UiPath Document Understanding machine learning models run.

Document Understanding is the infrastructure on which AI Center machine learning models run.

Pre-trained. fine-tunable, and reviewed.

Pre-trained. custom training, and fine-tunable.

Custom training, fine-tunable, and reviewed.

Pre-trained, custom training, and reviewed.

To select which extractors are trained for each document type and field.

To create and edit a Taxonomy file specific to the current automation project.

To select the type of ML that can be used in the project.

To present a document processing specific user interface for validating and correcting automatic classification outputs.

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.

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.

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.

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.

To prevent Robots from operating on unsupported applications.

To manage and monitor Robot deployments and executions centrally.

To enable Robots to communicate with other third-party systems.

To provide an alternative development environment to Studio.

How the top 10 labels for a given time period perform compared to the previous period and their change in rank.

How the top 10 senders for a given time period perform compared to the previous period and their change in rank.

How the top 10 entities for a given time period perform compared to the previous period and their change in rank.

How the top 10 labels and entities for a given time period perform compared to the previous period and their change in rank.