UiPath-SAIAv1 Practice Questions

A.  

For every 100 messages, 80 would be labelled correctly as 'Label X', and 20 would be labelled incorrectly.

B.  

For every 100 messages which should have been labelled as 'Label X', 80 were labelled and 20 were missed.

C.  

For every 100 messages, 20 would be labelled correctly as 'Label X', and 80 would be labelled incorrectly.

D.  

For every 100 messages which should have been labelled as 'Label X\ 20 were labelled and 80 were missed.

A.  

Label bias warnings.

B.  

Increases data security.

C.  

Increases the taxonomy coverage.

D.  

Label precision and recall.

A.  

To fully review and correctly tag the model version, regardless if it's "Live" or "Staging".

B.  

To use the bulk label functionality, a helpful tool to quickly train the model when searching for specific terms.

C.  

To provide each label/entity in a taxonomy with enough training examples so the model can make accurate predictions at scale.

D.  

To review the clusters of similar communications from a data set that unsupervised learning automatically found.

A.  

GIT, TFS

B.  

GIT, SVN, TFS

C.  

GIT, TFS, Azure DevOps

D.  

You cannot connect to multiple plugins at the same time.

A.  

Job is completed with a "Faulted" state.

B.  

Exception Pop-up is displayed on the robot machine.

C.  

Job is completed with a "Stopped" state.

D.  

Job is completed with a "Successful" state.

A.  

A sub-field of artificial intelligence that enables systems to learn from data.Systems learn from previous experience and information to deduce and predict future information. To do this they use algorithms that learn to perform a specific task without being explicitly programmed.

B.  

The theory and development of computer systems that are able to perform tasks that normally require human intelligence and decision making.

C.  

A field of artificial intelligence that enables computers to gain high-level understanding from digital images or videos. If AI is the brain, then this is the eye that enables the computer to observe and understand. It works the same as the human eye.

D.  

An area of machine learning concerned with artificial neural networks.These are a series of algorithms that aim to recognize relationships in a set of data through a process that mimicsbiological neural networks.

A.  

Timeout

B.  

Endpoint

C.  

ApiKey

D.  

ML Skill

A.  

The Document Understanding Framework contains the activities that can be used in a Library, while the Document Understanding Process is the template that can be found in Studio.

B.  

The Document Understanding Framework contains the activities that can be used in a Process, while the Document Understanding Process is the template that can be found in Studio.

C.  

The Document Understanding Process contains the activities that can be used in a Library, while the Document Understanding Framework is the template that can be found in Studio.

D.  

The Document Understanding Process contains the activities that can be used in a Process, while the Document Understanding Framework is the template that can be found in Studio.

A.  

Data Scientist.

B.  

Administrator.

C.  

RPA Developer.D Process Controller

A.  

The DOM is a JSON object containing information such as name, content type, text length, number of pages, page rotation, detected language, content, and coordinates for the words identified in the file.

B.  

The DOM is a built-in artificial intelligence system that automatically understands and interprets the content and the type of documents, eliminating the need for manual data extraction.

C.  

The DOM is a feature that allows you to convert physical documents into virtual objects that can be manipulated using programming code.

D.  

The DOM is a graphical user interface (GUI) tool in UiPath Document Understanding that provides visual representations of documents, making it easier for users to navigate and interact with the content.