UiPath-SAIv1 Exam Practice Test Instant Access

Question 1

Which of the following business processes is the most suitable for automation?

ASuggesting key financial client's concern over changes to the stock market.

BSetting goals and objectives for a company.

CScheduling and sending patient reminders in a healthcare center.

DCreating a presentation using various sources based on different topics.

Answer : C

The process of scheduling and sending patient reminders is repetitive, rule-based, and time-sensitive, making it ideal for automation. The other options involve subjective judgment, creativity, or require human intervention.

Question 2

Which of the following file types are supported for the DocumentPath property in the Classify Document Scope activity?

A.bmp, .pdf, .jpe, .psd

B.png, .gif, .jpe, .tiff

C.pdf, .jpeg, .raw, tif

D.jpe, .eps, .jpg, .tiff

Answer : B

According to the UiPath documentation portal1, the DocumentPath property in the Classify Document Scope activity accepts the path to the document you want to validate. This field supports only strings and String variables. The supported file types for this property field are .png, .gif, .jpe, .jpg, .jpeg, .tiff, .tif, .bmp, and .pdf. Therefore, option B is the correct answer, as it contains four of the supported file types. Option A is incorrect, as .psd is not a supported file type. Option C is incorrect, as .raw is not a supported file type. Option D is incorrect, as .eps is not a supported file type.

References:1Activities - Classify Document Scope - UiPath Documentation Portal

Question 3

For what type of documents is it recommended to use the Form Extractor?

AFor use cases in which non-variable format documents need to be processed.

BFor structured or semi-structured documents where the extraction method is based on a set of FlexiCapture definition files.

CFor structured or semi-structured documents where for certain fields, data is always found in a strict, predictable format and context.

DFor structured or semi-structured documents in which layouts of different document providers vary greatly.

Answer : A

The Form Extractor in UiPath is best suited for documents that have a fixed or non-variable format. This means that documents where the layout remains consistent and predictable, such as standardized forms or invoices, are ideal for this extraction method. The Form Extractor uses predefined templates that map data fields based on their positions, making it highly effective for extracting data from documents with little to no variation in layout. It is not well-suited for documents with significant layout variability, which would require a more flexible extraction approach, such as a machine learning extractor.

(Source: UiPath Document Understanding documentation)

Question 4

Which are the the minimum required inputs in order to configure the Classification Station as an attended activity?

ATaxonomy, Document Object Model, Automatic Extraction Results, Document Directory.

BTaxonomy, Document Path, Document Object Model, Document Text, Automatic Classification Results.

CTaxonomy, Document Path, Document Directory, Document Text, Automatic Extraction Results.

DTaxonomy, Document Path, Document Object Model, Document Text.

Answer : D

To configure the Classification Station as an attended activity in UiPath, certain inputs are mandatory for proper functionality. These include:

Taxonomy: The schema that defines the structure of document types and fields.

Document Path: The file path of the document to be classified.

Document Object Model (DOM): Generated from the document using the Digitize Document activity, this is a structured representation of the document.

Document Text: The extracted text of the document, also an output from the Digitize Document activity.

These inputs allow the Classification Station to review and validate the classification results, either manually or based on automatic suggestions from previous processes.

Question 5

Which of the following functionalities does UiPath Assistant provide?

AAnalyzing processes to determine optimal automation solutions.

BDeveloping automation workflows in UiPath Studio.

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

DScheduling and monitoring robot processes in Orchestrator.

Answer : C

UiPath Assistant is a desktop application used to run, manage, and organize automation workflows locally on the user's machine. It serves as an interface for end-users to interact with attended robots.

Question 6

Why is the Shuffle training mode important in the "Explore" phase while working with UiPath Communications Mining?

ABecause it helps create a balanced model by focusing on outlier labels with sufficient training examples but low confidence.

BBecause it helps create a balanced model free from labelling bias by introducing random variation into the training data.

CBecause it creates a high precision model, focusing on labels with low precision and a low number of examples.

DBecause it creates a new model version with shuffled labels and general fields and lets the user explore to understand the state of the model

Answer : B

The Shuffle training mode in the 'Explore' phase of UiPath Communications Mining helps to introduce randomness into the training data. This prevents labeling bias by ensuring that the model does not overly focus on certain labels or examples, leading to a more balanced and generalized model. By shuffling the data, the model is exposed to a diverse range of examples, which enhances its ability to make accurate predictions across different labels and datasets.

(Source: UiPath Communications Mining documentation)

Question 7

How should the data be managed after extraction in the UiPath Document Understanding process?

ADirectly pass the extracted data to other processes via Arguments.

BSerialize the data and store it in a storage bucket or similar location.

CStore the data temporarily in local folders before processing.

DKeep the data only in the queue items without serialization.

Answer : B

After the data is extracted using the UiPath Document Understanding framework, it is crucial to handle the data securely and efficiently for further use in other processes or storage. Serialization is often used to convert the extracted data into a format suitable for storage or transmission. By serializing the data, it can be stored in storage buckets (such as cloud storage or a database) and accessed later as needed for subsequent processing. This approach ensures that data is preserved, secure, and available for other workflows or automations.

(Source: UiPath Document Understanding Documentation).

UiPath Certified Professional Specialized AI Professional v1.0 UiPath-SAIv1 Exam Practice Test