UiPath UIPATH-SAIV1 Online Practice Questions and Exam Preparation

UiPath UIPATH-SAIV1 Online Questions & Answers

• Question 91:

  What is the benefit of making an ML Skill public?

  A. It provides additional security measures for the ML Skill.
  B. It restricts access from outside of the UiPath environment.
  C. It allows access from outside of the UiPath environment.
  D. It improves the performance of the ML Skill.
  C. It allows access from outside of the UiPath environment.

• Question 92:

  What are the available options for Scoring in Document Manager, that apply only to string content type?

  A. Exact match and Naive string search.
  B. Exact match and Phonetic matching.
  C. Exact match and Levenshtein.
  D. Exact match and Finite state automation-based search.
  C. Exact match and Levenshtein.

• Question 93:

  Which is a high-level view of the tabs within an AI Center project?

  A. Dashboard, Datasets, ML Packages, ML Training, ML Evaluation, and ML Logs.
  B. Datasets, Data Labeling, ML Packages, ML Training, ML Evaluation, ML Skills, and ML Logs.
  C. Datasets, Data Labeling, ML Packages, Pipelines, and ML Skills.
  D. Dashboard, Datasets, Data Labeling, ML Packages, Pipelines, ML Skills, and ML Logs.
  D. Dashboard, Datasets, Data Labeling, ML Packages, Pipelines, ML Skills, and ML Logs.

• Question 94:

  What is an out-of-the-box Machine Learning Package?

  A. A newly created ML Package.
  B. An uploaded ML Package from the local machine as a .zip file with all the necessary files and metadata needed to train and serve a machine learning model.
  C. An ML Package that is reused.
  D. An ML Package created by UiPath or the Open Source community.
  D. An ML Package created by UiPath or the Open Source community.

• Question 95:

  What is the recommended split of documents for training and evaluation, considering a total of 15 documents per vendor?

  A. 7 documents for training the model, and 8 for evaluating the model.
  B. 8 documents for training the model, and 7 for evaluating the model.
  C. 10 documents for training the model, and 5 for evaluating the model.
  D. 12 documents for training the model, and 3 for evaluating the model.
  C. 10 documents for training the model, and 5 for evaluating the model.

• Question 96:

  If multiple extractors are used to extract the same field in the Configure Extractors Wizard activity, then which of the following statements is correct?

  A. The order of the extractors in the scope does not matter, only the configured minimum confidence does.
  B. The order of the extractors in the scope defines their priority.
  C. Using multiple extractors for the same field is not allowed.
  D. The minimum confidence must be configured.
  B. The order of the extractors in the scope defines their priority.

• Question 97:

  What is the correct way to start a Document Understanding job in Unattended scenarios?

  A. Having the Dispatcher process use a Start Job and Get Reference activity.
  B. Starting a batch job that runs the Document Understanding Process for all the needed documents.
  C. Starting the job from Orchestrator from the Processes tab.
  D. Using a Time Trigger that runs every 5 minutes.
  C. Starting the job from Orchestrator from the Processes tab.

• Question 98:

  Which validation checks are performed for ML packages uploaded with the Enable Training option inactive?

  A. Existence of a non-empty root folder, requirements.txt file, and main.py file in the root folder which implements a class Main. The class is further validated to implement an __init__ and a predict function.
  B. Existence of a requirements.txt file, and main.py file which implements a class Main. The class is further validated to implement an __init__ and a predict function.
  C. Existence of a non-empty root folder, main.py file in the root folder which implements a class Main. The class is further validated to implement an __init__ and a predict function.
  D. Existence of a non-empty root folder, requirements.txt file, and train.py file in the root folder which implements a class Main. The class is further validated to implement an __init__ function.
  A. Existence of a non-empty root folder, requirements.txt file, and main.py file in the root folder which implements a class Main. The class is further validated to implement an __init__ and a predict function.

• Question 99:

  What are the mandatory activities to be included in an automation workflow to allow a remote knowledge worker to pick up an action that validates the extracted data in the form of a Document Validation Action?

  A. Present Validation Station, Wait for Document Validation Action and Resume.
  B. Orchestration Process Activities.
  C. Document Understanding Process Activities.
  D. Create Document Validation Action, Wait for Document Validation Action and Resume.
  D. Create Document Validation Action, Wait for Document Validation Action and Resume.

• Question 100:

  Which of the following extractors can be used for Data Extraction Scope activity?

  A. Intelligent Form Extractor, Machine Learning Extractor, Logic Extractor, and Regex Based Extractor.
  B. Full Extractor, Machine Learning Extractor, Intelligent Form Extractor, and Regex Based Extractor.
  C. Form Extractor, Incremental Extractor, Machine Learning Extractor, and Intelligent Form Extractor.
  D. Regex Based Extractor, Form Extractor, Intelligent Form Extractor, and Machine Learning Extractor.
  D. Regex Based Extractor, Form Extractor, Intelligent Form Extractor, and Machine Learning Extractor.