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Page 1 of 8

1. What can the Sentiment Analysis out-of-the-box model be used for?

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

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

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

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

2. What are the languages supported by the generic Document Understanding ML Package?

Languages using the Greek left-to-right alphabet. Japanese, and Chinese.

Languages using the Cyrillic alphabet, the Greek left-to-right alphabet, and Chinese.

Languages using the Latin alphabet (like Italian, French. Portuguese. Spanish, and Romanian), and the Greek left-to-right alphabet.

Languages using the Latin alphabet, the Cyrillic alphabet, the Greek left-to-right alphabet. Japanese, and Chinese.

3. Which of the following is true when creating an ML Package in UiPath Al Center?

The package name cannot use any Python reserved keywords.

The package name cannot contain any spaces or hyphens.

The package name cannot exceed 10 characters in length.

The package name cannot include any special characters such as "@", "S", or "#".

4. Which features in Generative Annotation are automatically enabled on datasets in Communication Mining technology?

Taxonomy Uploading

Assisted Labelling

Preview Mode

Sentiment Analysis

5. DRAG DROP

What is the correct order of migrating a dataset from Document Manager to a Modern Project? Instructions: Drag the Description found on the left and drop on the correct Step found on the right.

6. What is the main difference between an array and a list in UiPath?

An array is a fixed-size collection of elements of the same type while a list is a dynamic-sized collection of elements of different types.

An array is a fixed-size collection of elements of different types while a list is a dynamic-sized collection of elements of the same type.

An array is a dynamic-sized collection of elements of the same type while a list is a fixed-size collection of elements of the same type.

An array is a fixed-size collection of elements of the same type while a list is a dynamic-sized collection of elements of the same type.

7. 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?

8. What rule should be used in Taxonomy Manager for a text field that can have one of multiple known

values?

Ends with

Contains

Possible values

Starts with

9. What is the difference in scope between variables and arguments in UiPath?

Variables can only be used within the main workflow, while arguments can only be used within invoked workflows.

Variables are used for input data, while arguments are used for output data.

Variables have a limited scope within a specific workflow or sequence, while arguments are used to pass data between workflows.

Variables are global and arguments are local.

10. 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.

Page 2 of 8

11. Which UiPath product is most suitable for processing invoices?

UiPath Communications Mining.

UiPath Task Mining.

UiPath Process Mining.

UiPath Document Understanding.

12. What is the default visibility of an ML skill?

An ML skill is by default public and can be made private.

An ML skill is by default private and can be made public.

An ML skill is by default public and can't be made private.

An ML skill is by default private and can't be made public.

13. DRAG DROP

What is the correct execution order of the Document Understanding template stages? Instructions: Drag the stages found on the "Left" and drop them on the "Right” in the correct order.

14. What is the purpose of the generative classifier?

To classify documents using AI Center out-of-the-box generative models.

To classify documents using generative OC

To classify documents using generative models.

To classify documents using a combination of generative and specialized models.

15. 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. Opt for the ML Extractor that has the highest number of downloads or positive reviews.

Consider the document types, language, and data quality. 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 size of the ML Extractor is the most important factor to consider. 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.

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

16. What activity from the Microsoft 365 package should be used to share a SharePoint file URL with specific permissions to a specific user?

Upload File

Share URL Link

Get File-Folder

Share File/Folder

17. As a best practice, who should perform the data labeling?

Data Scientists.

Automation RPA Developers.

Business Analysts.

Subject Matter Experts.

18. When designing a taxonomy in UiPath Communications Mining, what is the similarity between labels and general fields?

They can be pre-trained or trained from scratch.

They are structured in hierarchies to add levels of specificity.

They are always assigned at the message level.

They are entirely rule-based and follow a particular format.

19. 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.

20. What is a recommended approach for increasing response accuracy when asking the Generative Extractor a question?

Specify an output format to standardize the response.

Combine arithmetic operations with the question to create a better context.

Combine complex if-then-else type logic questions to create a better context.

Request confidence levels for predictions.

Page 3 of 8

21. Given the following scenario:

• You have a trained version of the Document Understanding Model with 1000 pages called v22.10.0.1.

• You have an evaluation dataset of 100 pages that gave a score of 0.72 for v22.10.0.1.

• The business team labeled 800 pages and they ask for an increment of the Model that would contain all 1000+800 pages.

What is the first recommended pipeline run configuration to create the new version?

Pipeline type: FullPackage Major Version: 23.10.4.0 Package Minor Version: 1 Input Dataset: 800 pages Evaluation Dataset: 100 pages

Pipeline type: EvaluatePackage Major Version: 23.10.4.0 Package Minor Version: 0 Input Dataset: 1000+800 pages Evaluation Dataset: 100 pages

Pipeline type: Full Package Major Version: 23.10.4.0 Package Minor Version: 0 Input Dataset: 1000+800 pages Evaluation Dataset: 100 pages

Pipeline type: Training Package Major Version: 23.10.4.0 Package Minor Version: 1 Input Dataset: 1000+800 Evaluation Dataset: N/A

22. What are the available options for Scoring in Document Manager, that apply to string fields only?

Exact match and Auto.

Exact match and First span.

Exact match and Native string search.

Exact match and Levenshtein.

23. What fields are available when creating an Al Center project?

Name, description, and labels.

Name, description, and permissions.

Name and description.

Name and labels.

24. Which is a high-level view of the tabs within an AI Center project?

Dashboard. Datasets. ML Packages. ML Training. ML Evaluation, and ML Logs.

Datasets, Data Labeling. ML Packages, ML Training, ML Evaluation, ML Skills, and ML Logs.

Datasets. Data Labeling. ML Packages. Pipelines, and ML Skills.

Dashboard. Datasets, Data Labeling. ML Packages. Pipelines, ML Skills, and ML Logs.

25. 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.D Process Controller

26. What is a characteristic of an Orchestrator Asset?

All values from any Asset type are encrypted.

Asset types can be modified after the asset is created.

Asset values can be specified for each user.

Assets can store complete DataTable variables.

27. Which of the following data structures in a UiPath workflow allow dynamic resizing, making it suitable for scenarios where the number of elements is not predetermined?

Integer

Tuple

List

Array

28. What does the Label Trends table in UiPath Communications Mining show?

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.

29. What function in the train.py file is responsible for persisting the trained model?

evaluate(self, evaluation_directory)

save(self)

train(setf. trainmg_directory}

__init_(self)

30. 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.

Page 4 of 8

31. What does the darker shading of a label prediction represent in Explore in UiPath Communications Mining?

An incorrect prediction.

A lower confidence score.

Multiple label predictions.

A higher confidence score.

32. Which log level in UiPath provides the most detailed information about the execution of activities?

Verbose

Warning

Information

Error

33. Which UiPath Studio activity creates a Data Labeling Action in UiPath Action Center?

Create Document Labeling Action activity

Create Labeling Task activity

Create Labeling Action activity

Create External Task activity

34. Which of these statements is true about precision and recall statistics for specific labels in UiPath Communications Mining precision?

The label precision and recall statistics are determined by the mean average precision (MAP).

The label precision and recall statistics are determined by the model's rating.

The label precision and recall statistics are determined by the model's coverage.

The label precision and recall statistics are determined by the confidence threshold.

35. When training labels and general fields in UiPath Communications Mining, what is the recommended approach to training efficiency?

Focus on labels, and general fields will be trained automatically.

Train both labels and general fields at the same time.

Train only general fields for faster results.

Train general fields first, then labels.

36. How does Al Center handle versioning of ML packages?

Only ML packages retrained via pipelines change their major version.

Versioning is not supported for ML packages.

Only ML packages uploaded by users change their minor version.

Only ML packages retrained via pipelines change their minor version.

37. What action should be performed to have the Taxonomy Manager button appear on the Ribbon, in the Wizard section?

Install UiPath.IntelligentOC

Activities package.

Install a newer version of Studio.

Install UiPath.Documentunderstanding.M

Activities package.

Nothing to do, it should be already there.

38. What is Document Understanding?

A solution for combining different approaches to extract information from workflows.

A solution that offers the ability to digitize, extract, validate, and train data from documents.

A solution for the processing of Excel files for extracting data tables.

A solution for combining different approaches to extract entities from Word documents such as contracts and agreements.

39. Which generic ML Package should be used when the document type you are using is not part of the out of the box models?

DocumentClassifier

Document

DocumentUnderstanding

DocumentMLPackage

40. Which feature should be used to inspect the available versions for activities employed within a workflow?

Activities Panel

Variables Panel

Manage Packages

Outline Panel

Page 5 of 8

41. In the general fields training, what actions does the Communications Mining Train feature guide you through?

It guides you through the completion of model training before starling entity training.

It guides you to focus solely on model refinement.

It guides you right from the moment you create a dataset with the next best action to take to advance your general fields training.

It guides you to start entity training without a dataset.

42. Given the following variable assignments:

outputX = If(CInt(doubleX + CDbl(intX) + CDbl(stringX)) > 38.30, 1, 0)

What will be the output of the conditional?

Compilation Error

Error During Runtime

43. If you need to retrieve an item based on a corresponding identifier in UiPath, which collection type would you use?

ArrayOf or System.DataType[] as it stores indexed values

System.Collections.Generic.Dictionary as it stores key-value pairs

System.Collections.Generic.Dictionary as it stores indexed values

System.Collections.Generic.List as it stores ordered values

44. Which of the following statements is true regarding reviewing and applying entities in UiPath Communications Mining?

A single entity value can be split across multiple paragraphs.

If the entity value is correctly predicted, but the entity type is wrong, it cannot be changed.

All of the entities within a paragraph should be reviewed.

All of the entities in a communication must be reviewed.

45. What should a UiPath Communications Mining taxonomy contain when it is being imported?

Label predictions.

Entity descriptions.

Entity predictions.

Label descriptions.

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

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

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

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

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

47. How do partially labeled messages impact label predictions in UiPath Communications Mining?

They negatively affect model performance.

They improve label precision.

They reduce label bias.

They enhance label recall.

48. What actions can be performed on a pipeline which is in the running state?

Kill.

Remove and restart.

Kill, remove, and restart.

Remove and kill.

49. What does the Train stage of the Document Understanding Framework do?

Allows the model to learn from human-validated data.

Allows the extractor to improve its prediction over time by using better OCR (Optical Character Recognition) engines.

Allows a human to validate and correct the extracted data.

Improves the extractor accuracy by learning from the classification result.

50. Which of the following consumes Page Units?

Applying OCR on a 10-page document.

Creation of a Document Validation Action in Action Center.

Using ML Classifier on a 21-page document.

Using Intelligent Form Extractor on a 5-page document with 0 successful extractions.

Page 6 of 8

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

Directly pass the extracted data to other processes via Arguments.

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

Store the data temporarily in local folders before processing.

Keep the data only in the queue items without serialization.

52. What additional property does the ML Extractor have compared to the other types of extractors?

Timeout

Endpoint

ApiKey

ML Skill

53. Which of the following is a type of communication that is typically interpreted by UiPath Communications Mining?

Scanned letters

Shared email inboxes

Call data in real-time

Real-time chat data

54. In a Document Understanding project, the user needs to extract information from PDF documents with the following requirements:

The documents can contain scanned or digitally typed text.

The documents can contain checkboxes, and these must be extracted.

The automation must use the logical processors in the most efficient way to obtain the maximum degree of parallelism.

What are the properties provided to the Digitize Document activity in the Digitize phase?

ApplyOcrOnPdf -> Auto

ApplyOcrOnPdf -> Auto DegreeOfParallelism -> -1 DetectCheckboxes -> True

ApplyOcrOnPdf -> No DegreeOfParallelism -> True DetectCheckboxes -> True

ApplyOcrOnPdf -> Auto DegreeOfParallelism -> Max DetectCheckboxes -> True

ApplyOcrOnPdf -> No DegreeOfParallelism -> -1 DetectCheckboxes -> False

55. What will be displayed in the Output panel after running the workflow below?

Status not valid.

Status is Unknown.

Status is Pending.

Status is New.

56. 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.

57. What is the primary metric used to calculate the score for the All Labels performance factor in UiPath Communications Mining?

Mean Average Precision.

Number of labels.

Volume of data uploaded.

Number of annotations.

58. What information is required when creating a data labeling session?

Data labeling session name and dataset.

Data labeling name, dataset. and Al Center project.

Dataset and Al Center project.

Data labeling name, language, and number of documents.

59. What is DOM in the context of Document Understanding?

Digitized Object Model is an XML object containing information such as page data, content, and coordinates for every image identified in the file.

Data Object Model is a YAML object containing information such as name, content type, text length, and the number of pages.

Document Object Model is a JSON object containing information such as name, content type, text length, and the number of pages.

Digitize Object Module is an XML object containing information such as mandatory field names, types, and values

60. 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.

Page 7 of 8

61. What is the primary objective of the UiPath Document Understanding (DU) process template?

To provide a platform for file storage and organization.

To facilitate manual data entry tasks.

To streamline the process of file digitization and data extraction from various document types.

To automate the validation of extracted data.

62. 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.

63. 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.

64. Which scenario would be best accomplished using unattended automation?

Running reports and sending them via email to stakeholders overnight.

Generating invoices that require manual approval before issuing.

Providing on-demand assistance to users for specific activities.

Resolving customer queries with real-time input from support agents.

65. 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.

66. For which version(s) from Out-of-the-Box ML Packages minor versions is the download functionality available?

Version 0 only

Version 0 and above

Version 1 only

Version 1 and above

67. What are the main components of a digital business process?

Inputs, Process flows, Assignees, Outputs

Inputs, Process flows, Outputs

Inputs, Source applications, Assignees

Inputs, Process flows, Source applications, Outputs

68. 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.

69. When a parent label is deleted in UiPath Communications Mining, what happens to the training data tor that label?

The parent label and any child labels to that parent label are removed from any reviewed messages, any messages with updated annotations are flagged for review.

The parent label and any child labels to that parent label are removed from any reviewed messages.

The parent label is removed from any reviewed messages but the child labels to that parent label remain.

The parent label is removed from any reviewed messages, messages with any child labels to that parent label are flagged for review.

70. 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

Page 8 of 8

71. 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.

72. 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.

73. 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.

74. Why is having high coverage important for an automation-focused use case in UiPath Communications Mining?

The higher the coverage, the lower the model's recall, resulting in greater throughput of automatable processes.

High coverage ensures that the software consumes less computational resources, resulting in cost savings for the organization implementing the automation.

High coverage on the model means that fewer communications will be sent for manual review and that fewer automatable processes are missed.

With high coverage, you can increase the amount of data provided downstream via Streams.

75. What is the purpose of the One Click Classification feature in the UiPath Document Understanding interface?

It allows users to bypass the need for manually creating Datasets, Pipelines, and ML Skills in AI Center and enables training document classifiers directly within Document Understanding.

It is a pre-trained Machine Learning model that helps you classify documents by providing a prompt.

It enables you to directly edit and alter the underlying code of the ML models used for classification, giving the users unprecedented control over the machine learning process in Document Understanding.

It enables users to manually create Datasets, Pipelines, and ML Skills in Document Understanding itself.

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