Improve Your Knowledge with UiPath-SAIv1 Exam Dumps

Practicing with UiPath-SAIv1 questions can help you identify areas where you need to improve your knowledge. By answering UiPath-SAIv1 questions and reviewing your responses, you can identify gaps in your understanding and focus your study efforts on those areas. The UiPath-SAIv1 exam has a strict time limit, and you need to manage your time effectively to answer all the questions. Practicing with UiPath UiPath-SAIv1 dumps questions can help you develop time management skills by simulating the exam's time constraints. You'll learn how to pace yourself, manage your time effectively, and ensure that you complete the UiPath-SAIv1 exam within the allotted time. Test UiPath UiPath-SAIv1 exam free dumps below.

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1. 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

2

3

4

5

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2. Under what condition can a dataset be edited in UiPath AI Center?

If it is not being used in any active pipeline.

If it has not been modified within the last 24 hours.

There are no restrictions in editing a dataset.

If it is not linked to any data labeling session.

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3. What can be done in the Reports section of the dataset navigation bar in UiPath Communication Mining?

Train models using unsupervised learning.

View, save, and modify dataset model versions.

Monitor model performance and receive recommendations.

Access detailed, quervable charts, statistics, and customizable dashboards.

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4. What is one best practice when designing a UiPath Communications Mining label taxonomy?

Each label should be identifiable from the text of the individual verbatim (not thread) to which it will be applied.

Each label should include customer experience/sentiment analysis in its coverage.

Each parent label should have at least 3 children labels to ensure specificity.

Each label should overlap sliqhtlv with a few distinct others so we ensure 100% coveraqe.

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5. 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.

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6. What happens during the Classify stage of the Document Understanding Framework?

The OCR engine is used to extract text from the image document.

The extracted data is exported as a dataset.

The target fields are extracted from the document and sent to Action Center for human validation.

The documents are included in one of the taxonomy document types or skipped.

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7. 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.

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8. 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.

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9. What is the purpose of the "Explore" phase in UiPath Communications Mining?

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

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

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

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

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10. 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.

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11. In which of the following scenarios, the ML Classifier is the only recommended classifier to be used, according to best practice?

When the custom document types are very similar and file splitting is not necessary.

When the custom document types are not similar and file splitting is not necessary.

When the custom document types are not similar and file splitting is necessary.

When the custom document types are very similar and file splitting is necessary.

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12. What is the purpose of the End Process in the Document Understanding Process?

The purpose of the End Process in the Document Understanding Process is to generate a summary report of the processing statistics and performance metrics.

End Process sets the queue transaction status as Successful in case of no exception, and as Failed in case of an exception with their corresponding Business or System Exception, and the post processing/cleaning if required.

End Process in the Document Understanding Process silently shuts down the Virtual Machine so that another robot can use it.

End Process is a feature in the Document Understanding Process that exports the extracted data into a readable document format.

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13. 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 ID

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14. What is the definition of Deep Learning?

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.

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

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.

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 mimics biological neural networks.

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15. Which UiPath Communications Mining model performance factor assesses the proportion of the entire dataset that has informative label predictions?

Average label performance.

Coverage.

Balance.

Underperforming labels.

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16. Which of the following is an indicator that sufficient training has been completed for a model in UiPath Communications Mining?

A model rating of 30-40.

A model rating of 40-50.

A model rating of 50-60.

A model rating of 70-90 or better.

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17. What is the difference between OCR (Optical Character Recognition) and IntelligentOCR?

OCR (Optical Character Recognition) is a method that reads text from images, recognizing each character and its position, while IntelligentOCR is an enhanced version of it that can also work with noisier input data.

IntelligentOCR is simply a rebranding of the OCR (Optical Character Recognition), both of them being methods that read text from images, recognizing each character and its position.

OCR (Optical Character Recognition) is a UiPath Studio activity package that contains IntelligentOCR as an activity used to read text from images, recognizing each character and its position. OCR is widely used in Document Understanding processes.

IntelligentOCR is a UiPath Studio activity package that contains all the activities needed to enable information extraction, while OCR (Optical Character Recognition) is a method that reads text from images, recognizing each character and its position.

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18. Which environment variable is relevant for Evaluation pipelines?

eval.enable_ocr

eval.redo_ocr

eval.enable_qpu

eval.use_cuda

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19. What do entity predictions refer to within UiPath Communications Mining?

The understanding of the parent-label relationship when assigning label predictions.

The difference between label suggestions and label predictions in a training process.

The identification of a specific span of text as a value for a particular entity type.

The model's confidence that a specific concept exists within a communication.

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20. What can the Custom Named Entity Recognition out-of-the-box model be used for?

Understand sentiment in product reviews, customer surveys, social media posts, and emails.

Classify text in resumes, emails, web pages, and other formats.

Relate customer questions to FAQ documents and automatically pull responses from these documents.

Extract and classify text in emails, letters, web pages, research papers, and call transcripts.

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21. How is the Taxonomy component used in the Document Understanding Template?

To define the document types and the pieces of information targeted for data extraction (fields) for each document type.

To apply rigor in the taxonomy of data, ensuring any newly discovered object fits into one and only one category or object.

To organize knowledge by using a controlled vocabulary to make it easier to find related information.

To apply relationship schemas other than parent-child hierarchies, such as network structures on the processed data.

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22. DRAG DROP

What is the correct order of recommended steps when introducing new labels into a mature taxonomy?

Instructions: Drag the steps found on the "Left" and drop them on the "Right" in the correct order.

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23. What is the difference between the Document Understanding Process and the Document Understanding Framework?

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.

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.

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.

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.

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24. DRAG DROP

How do you load a taxonomy from a given non-default location text file into a variable?

Instructions: Drag the steps found on the "Left" and drop them on the "Right" in the correct order.

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