UiPath-SAIAv1 Exam Questions Answers

UiPath-SAIAv1 Study Questions for Exam 2026

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Total Questions: 250

Questions & Answers PDF

• Question 1

  

  Who is responsible for devising a strategy to prioritize processes during the Business Case and Technical Validation phase?

  • Project Manager
  • Solution Architect
  • Automation Developer
  • Business Analyst

  Reveal Answer Answer: B Next Question

• Question 2

  

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

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

  Reveal Answer Answer: C Next Question

• Question 3

  

  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.

  Reveal Answer Answer: A Next Question

• Question 4

  

  Which filter option should be used for the For Each File in Folder activity to iterate through all the Microsoft Word documents in a local folder?

  • ".doc"
  • Microsoft Word
  • "* doc"
  • "* doc, *docx"

  Reveal Answer Answer: A Next Question

• Question 5

  

  Considering the Process Design phase, what should be Taken into consideration as a best practice when creating the scope for the automation?

  • Document Types. Taxonomy. Languages. Success Criteria. OCR, ML Model.
  • Document Types. Taxonomy. Templates. Languages. Scans/Digital docs, Success Criteria. Technical Criteria.
  • Document Types. Technical Criteria, Templates. Languages, Scans/Digital docs, OCR quality.
  • Document Types. Templates. Technical Criteria. Languages. Scans/Digital docs. Success Criteria. OCR engines.

  Reveal Answer Answer: B Next Question

• Question 6

  

  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

  Reveal Answer Answer: B Next Question

• Question 7

  

  Which environment variable is relevant for Evaluation pipelines?

  • eval.enable_ocr
  • eval.redo_ocr
  • eval.enable_qpu
  • eval.use_cuda

  Reveal Answer Answer: B Next Question

• Question 8

  

  Which UiPath Communications Mining label category is often mapped to a service catalogue?

  • Products / Systems.
  • Root causes / Exceptions.
  • Customer experiences.
  • Process / Request types.

  Reveal Answer Answer: D Next Question

• Question 9

  

  In UiPath Communications Mining, which phase is the starting point of the model training process, where similar intents and conversation themes are grouped?

  • Refine
  • Explore
  • Discover
  • Setup

  Reveal Answer Answer: C Next Question

• Question 10

  

  What is supervised learning?

  • Supervised learning is a machine learning paradigm in which algorithms try to solve a problem only by trial and error and using a system of rewards and punishments.There is no need for labeled input/output pairs to be presented. Instead, the focus is on finding a balance between exploration (of uncharted territory) and exploitation (of current knowledge).
  • Supervised learning is a machine learning paradigm in which algorithms try to solve a problem in an uncertain, potentially complex environment only by trial and error and using a system ofrewards and punishments.There are no correct answers, but feedback is given in the form of rewards and penalties.
  • Supervised learning is a machine learning paradigm with the goal of learning a function that maps input variables with output variables.In every case there is a correct answer, so the aim is to train the model until it reaches an acceptable level of performance in predicting the outcome, at which point the learning stops.
  • Supervised learning is a machine learning paradigm that refers to algorithms that learn patterns from unlabeled data.There are only input variables, but no corresponding output variables. The goal of the algorithm is to model the underlying structure of the data, but there are no correct answers and noteachers.

  Reveal Answer Answer: C Next Question

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Total Questions: 250

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