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25 May, 2024 By admin

UiPath-SAIv1 Training & Certification Get Latest UiPath Certified Professional Updated on May 25, 2024 [Q18-Q41]

UiPath-SAIv1 Training & Certification Get Latest UiPath Certified Professional Updated on May 25, 2024

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NEW QUESTION 18
How many types of synchronization mechanisms exist in the Document Understanding Process to prevent multiple robots to write in a file at the same time?2

NEW QUESTION 19
What components are part of the Document Understanding Process template?

Import. Classification. Text Extractor, and Data Validation.

Load Document. Categorization. Data Extraction, and Validation.

Load Taxonomy, Digitization. Classification, Data Extraction, and Data Validation Export.

Load Taxonomy, Digitization. Categorization. Data Validation, and Export.

NEW QUESTION 20
What are the two main data extraction methodologies used in document understanding processes?

Hybrid and manual data extraction.

Rule-based and model-based data extraction.

Rule-based and hybrid data extraction.

Manual and model-based data extraction.

NEW QUESTION 21
Under what condition can a project be deleted in UiPath AI Center?

If it does not have any pipeline data.

If it does not have any running pipelines.

If it does not have any deployed packages.

If it does not have any scheduled pipelines.

NEW QUESTION 22
How can you build custom models supported by AI Center?

Using the Al Center IDE (Integrated Development Environment).

Using the Al Center model builder.

Using a Python IDE (Integrated Development Environment) or an AutoML platform.

Using a C/C++ IDE (Integrated Development Environment), then upload the code to Al Center IDE.

NEW QUESTION 23
Which of the following file types are supported for the DocumentPath property in the Classify Document Scope activity?

.bmp, .pdf, .jpe, .psd

.png, .gif, .jpe, .tiff

.pdf, .jpeg, .raw, tif

.jpe, .eps, .jpg, .tiff

NEW QUESTION 24
While training a UiPath Communications Mining model, the Search feature was used to pin a certain label on a few communications. After retraining, the new model version starts to predict the tagged label but infrequently and with low confidence.
According to best practices, what would be the correct next step to improve the model’s predictions for the label, in the “Explore” phase of training?

Use the “Rebalance” training mode to pin the label to more communications.

Use the ‘Teach” training mode to pin the label to more communications.

Use the “Low confidence” training mode to pin the label to more communications.

Use the “Search” feature to pin the label to more communications.

NEW QUESTION 25
What are the out-of-the-box model types available in AI Center?

Pre-trained, custom training, and reviewed.

Custom training, fine-tunable, and reviewed.

Pre-trained, fine-tunable, and reviewed.

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

NEW QUESTION 26
When processing a document type that comes in a high variety of layouts, what is the recommended data extraction methodology?

Model-based data extraction.

Hybrid data extraction.

Manual data extraction.

Rule-based data extraction.

NEW QUESTION 27
What does the following expression do?
subTotalAdditions.Select(Function(field) CDec(documentFields(field))).ToList.Sum() + subtotal

Sums up subtotal fields from the config file converted to CDec with the subtotal.

Sums up all the line amounts and converts the fields to CDec.

Sums up all the line amounts converted to CDec and the subtotal

Sums up the subtotal to the total variable by converting it to CDec

NEW QUESTION 28
What is the definition of a UiPath Communications Mining data source?

A collection of raw unlabeled communications data of a similar type, that can be associated with up to 10 datasets.

The model that we create when training the platform to understand the data in those sources.

A permissioned storage area within the platform which contains communications and labels.

A user-permissioned project containing a taxonomy with labels and entities.

NEW QUESTION 29
What is supervised learning?

Supervised learning is a machine learning paradigm in which algorithms try to solve a problem only by trial and error and using a system of rewards and punishments.
There is no need for labeled input/output pairs to be presented. Instead, the focus is on finding a balance between exploration (of uncharted territory) and exploitation (of current knowledge).

Supervised learning is a machine learning paradigm in which algorithms try to solve a problem in an uncertain, potentially complex environment only by trial and error and using a system of rewards and punishments.
There are no correct answers, but feedback is given in the form of rewards and penalties.

Supervised learning is a machine learning paradigm with the goal of learning a function that maps input variables with output variables.
In every case there is a correct answer, so the aim is to train the model until it reaches an acceptable level of performance in predicting the outcome, at which point the learning stops.

Supervised learning is a machine learning paradigm that refers to algorithms that learn patterns from unlabeled data.There are only input variables, but no corresponding output variables. The goal of the algorithm is to model the underlying structure of the data, but there are no correct answers and no teachers.

NEW QUESTION 30
When creating a training dataset, what is the recommended number of samples for the Classification fields?

5-10 document samples from each class.

10-20 document samples from each class.

20-50 document samples from each class.

50-200 document samples from each class.

NEW QUESTION 31
What is one of the purposes of the Config file in the UiPath Document Understanding Template?

It contains the configuration settings for the UiPath Robot and Orchestrator integration.

It stores the API keys and authentication credentials for accessing external services.

It specifies the output file path and format for the processed documents.

It defines the input document types and formats supported by the template.

NEW QUESTION 32
When dealing with variable-length data, or data spanning over multiple pages of the document (e.g. item tables), what is the recommended data extraction methodology to be used?

Hybrid data extraction.

Rule-based data extraction.

Model-based data extraction.

Manual data extraction.

NEW QUESTION 33
Which activity should be used for classification validation in attended mode?

Create Document Classification Action.

Train Classifiers Scope.

Wait for Document Classification and Resume.

Present Classification Station.

NEW QUESTION 34
What is the order of steps for automatically retraining and deploying a Document Understanding ML Model in Al Center with data from Document Validation Action?
Instructions: Drag the steps found on the “Left” and drop them on the “Right” in the correct order.

NEW QUESTION 35
Which of the following are unstructured documents?

Invoices, receipts, purchase orders, and medical bills.

Banking forms, tax forms, surveys, and identity cards.

Contracts, emails, banking forms, and tax forms.

Contracts, agreements, and emails.

NEW QUESTION 36
Which role consumes ML Skills within customized workflows in Studio using the ML Skill activity from the UiPath.MLServices.Activities package?

Data Scientist.

Administrator.

RPA Developer.

NEW QUESTION 37
What is the role of the Taxonomy Manager?

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.

NEW QUESTION 38
What information should be filled in when adding an entity label for the OOB (Out Of the Box) labeling template?

Name. Data Type. Attribute name, and Color.

Name, Data Type. Attribute name. Shortcut, and Color.

Name, Shortcut, and Color.

Name. Input to be labeled. Attribute name. Shortcut, and Color.

NEW QUESTION 39
What are the available options for Scoring in Document Manager, that apply only to string content type?

Exact match and Naive string search.

Exact match and Phonetic matching.

Exact match and Levenshtein.

Exact match and Finite state automation-based search.

NEW QUESTION 40
Which of the following is a best practice when choosing a UiPath ML (Machine Learning) Extractor?

The popularity of the ML Extractor among other UiPath users should be the primary factor when choosing a UiPath ML Extractor.
Opt for the ML Extractor that has the highest number of downloads or positive reviews.

Consider the document types, language, and data quality when choosing an ML Extractor.
It is important to select one that is specifically trained or optimized for the document types being processed.
It is also important to take into account the quality and diversity of the training data used to train the ML Extractor to ensure accurate and reliable extraction results.

The cost of the ML Extractor should be the main consideration when choosing an ML Extractor.
Select the ML Extractor that offers the lowest price, regardless of its performance or suitability for the specific document understanding needs.

The size of the ML Extractor is the most important factor to consider when choosing an ML Extractor.Bigger models always perform better and provide more accurate extraction results because the development team invested time and effort into creating the algorithm, which in turn will result in better performance for the trained model.

NEW QUESTION 41
How long does the typical Machine Learning model deployment process take in UiPath AI Center?

Less than 5 minutes.

Between 5 and 10 minutes.

Between 10 and 15 minutes.

More than 15 minutes.

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21 Dec, 2023 By admin

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UiPath-SAIv1 Training & Certification Get Latest UiPath Certified Professional Updated on May 25, 2024 [Q18-Q41]

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