UiPath UIPATH-SAIV1 Online Practice Questions and Exam Preparation

UiPath UIPATH-SAIV1 Online Questions & Answers

• Question 161:

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

  A. To fully review and correctly tag the model version, regardless if it's "Live" or "Staging".
  B. To use the bulk label functionality, a helpful tool to quickly train the model when searching for specific terms.
  C. To provide each label/entity in a taxonomy with enough training examples so the model can make accurate predictions at scale.
  D. To review the clusters of similar communications from a dataset that unsupervised learning automatically found.
  C. To provide each label/entity in a taxonomy with enough training examples so the model can make accurate predictions at scale.

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  Explanation/Reference:

  The objective of the Explore phase is to provide each of the labels that are important to you with enough varied and consistent training examples, so that the platform has sufficient training data from which to make accurate predictions across the entire dataset.

  https://docs.uipath.com/communications-mining/automation-cloud/latest/user-guide/explore

• Question 162:

  What are the correct steps for creating an ML Skill?

  A. Create a project in Document Understanding, create a dataset, create a data labeling session, create an ML package, create a pipeline, deploy an ML Skill, and check ML logs.
  B. Create a project in AICenter, create a folder, create a dataset, create a data labeling session, create an ML package, create a pipeline, and deploy an ML Skill.
  C. Create a project in AICenter, create a dataset, create a data labeling session, create an ML package, create a pipeline, and deploy an ML Skill.
  D. Create a project in AICenter, create a dataset, create a data labeling session, create an ML package, create a pipeline, deploy an ML Skill, and check ML logs.
  D. Create a project in AICenter, create a dataset, create a data labeling session, create an ML package, create a pipeline, deploy an ML Skill, and check ML logs.

• Question 163:

  If Label X in UiPath Communications Mining has 80% precision at a given confidence threshold, what output should this provide?

  A. For every 100 messages which should have been labelled as 'Label X', 20 were labelled and 80 were missed.
  B. For every 100 messages which should have been labelled as 'Label X', 80 were labelled and 20 were missed.
  C. For every 100 messages, 80 would be labelled correctly as 'Label X', and 20 would be labelled incorrectly.
  D. For every 100 messages, 20 would be labelled correctly as 'Label X', and 80 would be labelled incorrectly.
  C. For every 100 messages, 80 would be labelled correctly as 'Label X', and 20 would be labelled incorrectly.

• Question 164:

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

  A. .bmp, .pdf, .jpe, .psd
  B. .png, .gif, .jpe, .tiff
  C. .pdf, .jpeg, .raw, tif
  D. .jpe, .eps, .jpg, .tiff
  B. .png, .gif, .jpe, .tiff

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  Explanation/Reference:

  The supported file types for this property field are .png, .gif, .jpe, .jpg, .jpeg, .tiff, .tif, .bmp, and .pdf.

• Question 165:

  DRAG DROP

  What is the correct order to Configure Extractor Wizard?

  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 166:

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

  A. 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.
  B. It is calculated by counting the total number of messages in a thread and multiplying it by a fixed amount of time.
  C. It is calculated by taking the time between the first and the last message that was sent in the thread.
  D. It is calculated by taking the difference between the timestamps of the first message and the second message sent in the thread.
  C. It is calculated by taking the time between the first and the last message that was sent in the thread.

• Question 167:

  What does the Data Extraction Scope activity do?

  A. Empowers the closing of the feedback loop to any data extraction algorithm capable of learning.
  B. Provides a scope for extractor activities, enabling their configuration according to the document types defined in the taxonomy.
  C. Retrieves the text from any PDF or image, using, only if necessary, the OCR engine.
  D. Presents a document processing specific user interface for data validation and correction.
  B. Provides a scope for extractor activities, enabling their configuration according to the document types defined in the taxonomy.

• Question 168:

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

  A. When the custom document types are very similar and file splitting is not necessary.
  B. When the custom document types are not similar and file splitting is not necessary.
  C. When the custom document types are not similar and file splitting is necessary.
  D. When the custom document types are very similar and file splitting is necessary.
  A. When the custom document types are very similar and file splitting is not necessary.

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  Explanation/Reference:

  You should consider using the Machine Learning Classifier if:

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  Your need to classify the single documents into different document types where no splitting is required.

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  The custom document types are very similar. A trained Machine Learning Classifier can differentiate more easily between two similar document types than the Intelligent Keyword Classifier. https://docs.uipath.com/document-understanding/automation-suite/2023.4/user-guide/machine-learning-classifier

• Question 169:

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

  A. Less than 5 minutes.
  B. Between 5 and 10 minutes.
  C. Between 10 and 15 minutes.
  D. More than 15 minutes.
  D. More than 15 minutes.

• Question 170:

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

  A. Hybrid and manual data extraction.
  B. Rule-based and model-based data extraction.
  C. Rule-based and hybrid data extraction.
  D. Manual and model-based data extraction.
  B. Rule-based and model-based data extraction.

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  Explanation/Reference:

  Based on the classification of documents, there are two common types of data extraction methodologies. Rule-based data extraction targets structured documents, while model-based data extraction is used to process semi-structured and unstructured documents.