UiPath UIPATH-SAIV1 Online Practice Questions and Exam Preparation

UiPath UIPATH-SAIV1 Online Questions & Answers

• Question 1:

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

  A. Languages using the Greek left-to-right alphabet, Japanese, and Chinese.
  B. Languages using the Cyrillic alphabet, the Greek left-to-right alphabet, and Chinese.
  C. Languages using the Latin alphabet (like Italian, French, Portuguese. Spanish, and Romanian), and the Greek left-to-right alphabet.
  D. Languages using the Latin alphabet, the Cyrillic alphabet, the Greek left-to-right alphabet, Japanese, and Chinese.
  D. Languages using the Latin alphabet, the Cyrillic alphabet, the Greek left-to-right alphabet, Japanese, and Chinese.

• Question 2:

  Which component is used to assess the impact of OCR (Optical Character Recognition) on extraction accuracy during evaluation?

  A. eval.enable_gpu variable.
  B. eval.redo_ocr variable.
  C. eval.use_cuda variable.
  D. eval.enable_ocr variable.
  B. eval.redo_ocr variable.

• Question 3:

  What is the default visibility of an ML skill?

  A. An ML skill is by default public and can be made private.
  B. An ML skill is by default private and can be made public.
  C. An ML skill is by default public and can't be made private.
  D. An ML skill is by default private and can't be made public.
  B. An ML skill is by default private and can be made public.

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  Explanation/Reference:

  Make ML Skill public/private You have the possibility to make an ML Skill public. Doing so, the ML Skill will be accessible via an endpoint from outside of UiPath environment. This means that you can call it without the need to go through a robot connected to the specific tenant.

• Question 4:

  What information should be filled in when adding an entity label for the OOB (Out Of the Box) labeling template?

  A. Name. Data Type, Attribute name, and Color.
  B. Name, Data Type, Attribute name, Shortcut, and Color.
  C. Name, Shortcut, and Color.
  D. Name, Input to be labeled. Attribute name, Shortcut, and Color.
  D. Name, Input to be labeled. Attribute name, Shortcut, and Color.

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  Explanation/Reference:

  To add a label, click on ? next to Entity Label. Add the following information for the new label:

  Name: the name of the new label.

  Input to be labelled: choose which text component you want to be labeled. In the case of Email AI, you chose between Date, From, To, cc, and text.

  Attribute name: choose label names for the entities in your data. Use this to create attributes such as customer name, city name, telephone number, and so on.

  Shortcut: choose a hotkey for the label. Use this to configure a key as a shortcut. Only single letters or digits are supported.

• Question 5:

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

  A. The purpose of the End Process in the Document Understanding Process is to generate a summary report of the processing statistics and performance metrics.
  B. 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.
  C. End Process in the Document Understanding Process silently shuts down the Virtual Machine so that another robot can use it.
  D. End Process is a feature in the Document Understanding Process that exports the extracted data into a readable document format.
  B. 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.

• Question 6:

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

  A. 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.
  B. A folder containing the main.py file which implements the__init_ (self) and predict(self, input) functions.
  C. 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.
  D. 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.
  D. 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.

• Question 7:

  When a production environment with the Document Understanding Process is using queues, how is the export done?

  A. Create queue items for each element in the ExtractionResults object and save the RawValues there for them to be used by the Performer.
  B. Serialize the data, save it to a desired storage location, and send the path to the queue for the Performer.
  C. Export the data to Excel and save the path to the queue item for the Performer.
  D. Serialize the data and add it to a queue item for the Performer.
  D. Serialize the data and add it to a queue item for the Performer.

• Question 8:

  Which of the following are semi-structured documents that can be processed with Document Understanding?

  A. Invoices, receipts, purchase orders, medical bills, bank statements, and utility bills.
  B. Contracts, agreements, and emails.
  C. Banking forms, tax forms, surveys, identity cards, and passports.
  D. Invoices, receipts, contracts, banking forms, tax forms, and passports.
  A. Invoices, receipts, purchase orders, medical bills, bank statements, and utility bills.

• Question 9:

  In a process where employees need to read emails from customers, then process invoices attached as part of day-to-day work, what combination of UiPath solutions is most suited to structure data from these two types of inputs?

  A. UiPath Communications Mining and UiPath Document Understanding.
  B. UiPath Document Understanding and UiPath Process Mining.
  C. UiPath Document Understanding and UiPath Task Mining.
  D. UiPath Communications Mining and UiPath Task Mining.
  A. UiPath Communications Mining and UiPath Document Understanding.

• Question 10:

  What is a reason for pinning a UiPath Communications Mining Model?

  A. To delete all other model versions.
  B. To allow rollback of annotations to that model version.
  C. To force the UI to show predictions from that model version in explore
  D. To allow AB comparing of the statistics of that model version with another one.
  C. To force the UI to show predictions from that model version in explore