UiPath UIPATH-SAIV1 Online Practice Questions and Exam Preparation

UiPath UIPATH-SAIV1 Online Questions & Answers

• Question 21:

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

  A. Understand sentiment in product reviews, customer surveys, social media posts, and emails.
  B. Classify text in resumes, emails, web pages, and other formats.
  C. Relate customer questions to FAQ documents and automatically pull responses from these documents.
  D. Extract and classify text in emails, letters, web pages, research papers, and call transcripts.
  D. Extract and classify text in emails, letters, web pages, research papers, and call transcripts.

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  Explanation/Reference:

  https://docs.uipath.com/ai-center/automation-cloud/latest/user-guide/custom-named-entity-recognition#recommendations

• Question 22:

  Why might labels have bias warnings in UiPath Communications Mining, even with 100% precision?

  A. They were trained using the "Search" option extensively.
  B. They were trained using the "Shuffle" option extensively.
  C. They have low recall.
  D. They lack training examples.
  A. They were trained using the "Search" option extensively.

• Question 23:

  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.

  Select and Place:

  

  

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  Explanation/Reference:

• Question 24:

  DRAG DROP

  What is the order of the steps needed to create a new Document Type using all the organization levels in the Taxonomy?

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

  Select and Place:

  

  

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  Explanation/Reference:

• Question 25:

  What can the Semantic Similarity out-of-the-box model be used for?

  A. Understand sentiment in product reviews, customer surveys, social media posts, and emails.
  B. Relate customer questions to FAQ documents and automatically pull responses from these documents.
  C. Classify text in resumes, emails, web pages, and other formats.
  D. Extract and classify text in emails, letters, web pages, research papers, and call transcripts.
  B. Relate customer questions to FAQ documents and automatically pull responses from these documents.

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  Explanation/Reference:

  Semantic Similarity

  Out of the Box Packages > UiPath Language Analysis > Semantic Similarity

  NOTE:

  The Semantic similarity model is currently in public preview.

  UiPath is committed to stability and quality of our products, but preview features are always subject to change based on feedback that we receive from our customers. Using preview features is not recommended for production deployments. This model allows you to compare a single reference sentence with bunch of other candidate sentences and ranks these candidate sentences in order of similarity https://docs.uipath.com/ai-center/automation-cloud/latest/user-guide/semantic-similarity

• Question 26:

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

  A. To define the document types and the pieces of information targeted for data extraction (fields) for each document type.
  B. To apply rigor in the taxonomy of data, ensuring any newly discovered object fits into one and only one category or object.
  C. To organize knowledge by using a controlled vocabulary to make it easier to find related information.
  D. To apply relationship schemas other than parent-child hierarchies, such as network structures on the processed data.
  A. To define the document types and the pieces of information targeted for data extraction (fields) for each document type.

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  Explanation/Reference:

  The Taxonomy is the metadata that the Document Understanding framework considers in each of its steps. A Taxonomy is a collection of Document Types. A Document Type is the definition of a logical type of document, that must be handled by different business processes.

• Question 27:

  Which of the following is a golden rule for applying labels in UiPath Communications Mining?

  A. Apply labels sparingly to ensure better performance.
  B. Add all labels that apply to a communication.
  C. Apply labels based primarily on keywords linked to label names.
  D. Apply labels based on the text of communications earlier in the conversation.
  B. Add all labels that apply to a communication.

• Question 28:

  What are the features of an on-premises air-gapped AI Center installation?

  A. No internet access is required. Document Understanding metering is done in Orchestrator. All resources must be manually downloaded and then loaded into the node. Requires no infrastructure and no maintenance.
  B. Deploy, manage, and improve ML models locally. Fully integrated with on-premises Orchestrator. Document Understanding metering is done in Orchestrator. No internet access is required.
  C. Document Understanding metering is done in Orchestrator. All resources must be manually downloaded and then loaded into the node. Customer-managed infrastructure. Internet access is required.
  D. Robots can be connected to the on-premises Orchestrator. Robots can call ML Skills to upload data to a dataset. Internet access is required. No requirement for installation and management on the AI Center.
  B. Deploy, manage, and improve ML models locally. Fully integrated with on-premises Orchestrator. Document Understanding metering is done in Orchestrator. No internet access is required.

• Question 29:

  What does a UiPath Communications Mining taxonomy include?

  A. Entities and datasets.
  B. Verbatims, labels, and entities.
  C. Labels and sources.
  D. Labels and entities.
  D. Labels and entities.

• Question 30:

  DRAG DROP

  In what order does the Invoice Post Processing workflow check that the data is correct?

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

  Select and Place:

  

  

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  Explanation/Reference: