Uipath

UiSAIv1 practice test

Practice with 15 free Testara sample questions, or choose paid access to the full 97-question bank.

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Uipath
Question bank
97
Free sample
15 questions
Publisher
Testara

About this practice material

This page covers Testara's practice question bank for UiSAIv1, a certification listed under Uipath. Questions use original, exam-style scenarios and are not questions from the official certification exam.

Testara is an independent practice platform and is not affiliated with, endorsed by, or authorized by Uipath. The certification credential is issued by Uipath, not Testara. Certification and provider names belong to their respective owners.

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Free sample questions

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  1. Question 1 · 1

    When is it recommended to use Main-ActionCenter in the context of the Document Understanding Process?

    Choose one answer.

    • When implementing an attended process.
    • When testing locally or implementing an attended process.
    • When testing locally.
    • When testing locally or implementing an unattended process.
  2. Question 2 · 1

    How is the Thread Duration calculated in UiPath Communications Mining's thread analytics?

    Choose one answer.

    • It is calculated by taking the difference between the timestamps of the first message and the last message sent by the same participant within a thread.
    • It is calculated by counting the total number of messages in a thread and multiplying it by a fixed amount of time.
    • It is calculated by taking the time between the first and the last message that was sent in the thread.
    • It is calculated by taking the difference between the timestamps of the first message and the second message sent in the thread.
  3. Question 3 · 1

    What is the relationship between AI Center and UiPath Document Understanding?

    Choose one answer.

    • AI Center is the infrastructure on top of which UiPath Document Understanding digitization runs.
    • AI Center is the infrastructure on top of which UiPath Document Understanding machine learning models run.
    • Document Understanding is the infrastructure on which AI Center machine learning models run.
    • Document Understanding is the infrastructure on which AI Center digitization runs.
  4. Question 4 · 1

    What does the feature in the red highlighted box indicate?

    Choose one answer.

    Question illustration 1
    • A label annotation.
    • A label's confidence level.
    • A label prediction.
    • A label suggestion.
  5. Question 5 · 1

    Which of the following are unstructured documents?

    Choose one answer.

    • 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.
  6. Question 6 · 1

    When creating a training dataset, what is the recommended number of samples for a Column field?

    Choose one answer.

    • 10-20 document samples per column field.
    • 20-50 document samples per column field.
    • 50-200 document samples per column field.
    • 100-200 document samples per column field.
  7. Question 7 · 1

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

    Choose one answer.

    • Endpoint.
    • ML Skill.
    • Timeout.
    • ApiKey.
  8. Question 8 · 1

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

    Choose one answer.

    • 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.
  9. Question 9 · 1

    What is a possible outcome specific to the Low confidence training mode in the "Explore" phase while working with UiPath Communications Mining?

    Choose one answer.

    • The dataset will be enriched with additional data sources, so the entity extraction process may suffer significant changes.
    • Due to the fact that most of the verbatims don't have any predictions, the training process may reveal the need to add new labels that are not yet covered in the taxonomy.
    • Due to the fact that most labels have a high recall percentage, the training process may reveal the need for a "human in the loop" scenario.
    • The pinned model may suffer from performance degradation, so the training process may require additional effort on a regular basis.
  10. Question 10 · 1

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

    Choose one answer.

    • 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.
  11. Question 11 · 1

    What is Computer Vision?

    Choose one answer.

    • The theory and development of computer systems that are able to perform tasks that normally require human intelligence and decision making.
    • 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.
    • 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.
    • 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.
  12. Question 12 · 1

    What are the requirements that must be fulfilled by a package containing only the serving component?

    Choose one answer.

    • A folder containing the main.py file which implements the__init_ (self), train(self, training_directory), and predict(self, input) functions, and the requirements.txt file which lists the dependencies needed to run the model.
    • A folder containing the main.py file which implements the__init_ (self) and predict(self, input) functions.
    • A folder containing the main.py file which implements the__init_ (self), evaluate(self, evaluation_directory), and predict(self, input) functions, and the requirements.txt file which lists the dependencies needed to run the model.
    • A folder containing the main.py file which implements the__init_ (self) and predict(self, input) functions, and the requirements.txt file which lists the dependencies needed to run the model.
  13. Question 13 · 1

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

    Choose one answer.

    • .bmp, .pdf, .jpe, .psd
    • .png, .gif, .jpe, .tiff
    • .pdf, .jpeg, .raw, tif
    • .jpe, .eps, .jpg, .tiff
  14. Question 14 · 1

    When does UiPath Communications Mining charge AI units?

    Choose one answer.

    • When comments are uploaded or updated on the platform.
    • When model training occurs.
    • When using the automation framework to consume predictions from a stream.
    • When pinning a new model version.
  15. Question 15 · 1

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

    Choose one answer.

    • The label precision and recall statistics are determined by the model's rating.
    • The label precision and recall statistics are determined by the confidence threshold.
    • 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 coverage.

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