[Apr 04, 2024] Free UiPath Certified Professional UiPath-SAIv1 Official Cert Guide PDF Download
UiPath UiPath-SAIv1 Official Cert Guide PDF
NEW QUESTION # 43
Which of the following options is accepted as a Column field name in Document Manager?
- A. first_n@me
- B. f1rst-name
- C. first name
- D. First_name123
Answer: D
NEW QUESTION # 44
Which of the following is a best practice when choosing a UiPath ML (Machine Learning) Extractor?
- A. The size of the ML Extractor is the most important factor to consider when choosing an ML Extractor.Bigger models always perform better and provide more accurate extraction results because the development team invested time and effort into creating the algorithm, which in turn will result in better performance for the trained model.
- B. The popularity of the ML Extractor among other UiPath users should be the primary factor when choosing a UiPath ML Extractor.
Opt for the ML Extractor that has the highest number of downloads or positive reviews. - C. The cost of the ML Extractor should be the main consideration when choosing an ML Extractor.
Select the ML Extractor that offers the lowest price, regardless of its performance or suitability for the specific document understanding needs. - D. Consider the document types, language, and data quality when choosing an ML Extractor.
It is important to select one that is specifically trained or optimized for the document types being processed.
It is also important to take into account the quality and diversity of the training data used to train the ML Extractor to ensure accurate and reliable extraction results.
Answer: D
NEW QUESTION # 45
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. Extract and classify text in emails, letters, web pages, research papers, and call transcripts.
- C. Relate customer questions to FAQ documents and automatically pull responses from these documents.
- D. Classify text in resumes, emails, web pages, and other formats.
Answer: B
NEW QUESTION # 46
A Document Understanding Process is in production. According to best practices, what are the locations recommended for exporting the result files?
- A. Locally, Temp Folder, Network Attached Storage, and Orchestrator Bucket.
- B. On a VM, Orchestrator Bucket, and Network Attached Storage.
- C. Network Attached Storage and Orchestrator Bucket.
- D. Orchestrator Bucket and Queue Item.
Answer: C
NEW QUESTION # 47
While training a UiPath Communications Mining model, the Search feature was used to pin a certain label on a few communications. After retraining, the new model version starts to predict the tagged label but infrequently and with low confidence.
According to best practices, what would be the correct next step to improve the model's predictions for the label, in the "Explore" phase of training?
- A. Use the "Rebalance" training mode to pin the label to more communications.
- B. Use the 'Teach" training mode to pin the label to more communications.
- C. Use the "Low confidence" training mode to pin the label to more communications.
- D. Use the "Search" feature to pin the label to more communications.
Answer: B
NEW QUESTION # 48
What is the purpose of the "Explore" phase in UiPath Communications Mining?
- A. To review the clusters of similar communications from a data set that unsupervised learning automatically found.
- 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 fully review and correctly tag the model version, regardless if it's "Live" or "Staging".
Answer: C
NEW QUESTION # 49
What is the difference between OCR (Optical Character Recognition) and IntelligentOCR?
- A. OCR (Optical Character Recognition) is a UiPath Studio activity package that contains IntelligentOCR as an activity used to read text from images, recognizing each character and its position. OCR is widely used in Document Understanding processes.
- B. OCR (Optical Character Recognition) is a method that reads text from images, recognizing each character and its position, while IntelligentOCR is an enhanced version of it that can also work with noisier input data.
- C. IntelligentOCR is simply a rebranding of the OCR (Optical Character Recognition), both of them being methods that read text from images, recognizing each character and its position.
- D. IntelligentOCR is a UiPath Studio activity package that contains all the activities needed to enable information extraction, while OCR (Optical Character Recognition) is a method that reads text from images, recognizing each character and its position.
Answer: D
NEW QUESTION # 50
Which of the following consumes Page Units?
- A. Applying OCR on a 10-page document.
- B. Creation of a Document Validation Action in Action Center.
- C. Using Intelligent Form Extractor on a 5-page document with 0 successful extractions.
- D. Using ML Classifier on a 21-page document.
Answer: A
NEW QUESTION # 51
What components are part of the Document Understanding Process template?
- A. Import. Classification. Text Extractor, and Data Validation.
- B. Load Document. Categorization. Data Extraction, and Validation.
- C. Load Taxonomy, Digitization. Classification, Data Extraction, and Data Validation Export.
- D. Load Taxonomy, Digitization. Categorization. Data Validation, and Export.
Answer: C
NEW QUESTION # 52
How can you build custom models supported by AI Center?
- A. Using a C/C++ IDE (Integrated Development Environment), then upload the code to Al Center IDE.
- B. Using the Al Center IDE (Integrated Development Environment).
- C. Using the Al Center model builder.
- D. Using a Python IDE (Integrated Development Environment) or an AutoML platform.
Answer: D
NEW QUESTION # 53
What can be done in the Reports section of the dataset navigation bar in UiPath Communication Mining?
- A. Train models using unsupervised learning.
- B. View, save, and modify dataset model versions.
- C. Access detailed, quervable charts, statistics, and customizable dashboards.
- D. Monitor model performance and receive recommendations.
Answer: C
NEW QUESTION # 54
What does adding missed labels help improve in UiPath Communications Mining?
- A. Increases data security.
- B. Increases the taxonomy coverage.
- C. Label precision and recall.
- D. Label bias warnings.
Answer: C
NEW QUESTION # 55
What is one of the purposes of the Config file in the UiPath Document Understanding Template?
- A. It defines the input document types and formats supported by the template.
- B. It contains the configuration settings for the UiPath Robot and Orchestrator integration.
- C. It stores the API keys and authentication credentials for accessing external services.
- D. It specifies the output file path and format for the processed documents.
Answer: C
NEW QUESTION # 56
What is the Machine Learning Extractor?
- A. An extraction model that can be enabled and trained in Al Center. For better accuracy. 25 documents per model are recommended to train the model.
- B. A tool using machine learning models to identify and report on data targeted for data extraction.
- C. A tool that helps extract data from different document structures, and is particularly useful when the same document has multiple formats.
- D. A specialized model that can recognize multiple languages in the same document using API calls to a Hugging Face model with over 250 languages.
Answer: C
NEW QUESTION # 57
What is Document Understanding?
- A. A solution for combining different approaches to extract information from workflows.
- B. A solution that offers the ability to digitize, extract, validate, and train data from documents.
- C. A solution for combining different approaches to extract entities from Word documents such as contracts and agreements.
- D. A solution for the processing of Excel files for extracting data tables.
Answer: B
NEW QUESTION # 58
Which of the following OCR (Optical Character Recognition) engines is not free of charge?
- A. Microsoft Azure OCR.
- B. OmniPaqe.
- C. Tesseract.
- D. Microsoft OCR.
Answer: B
NEW QUESTION # 59
How is the Taxonomy component used in the Document Understanding Template?
- A. To organize knowledge by using a controlled vocabulary to make it easier to find related information.
- 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 apply relationship schemas other than parent-child hierarchies, such as network structures on the processed data.
- D. To define the document types and the pieces of information targeted for data extraction (fields) for each document type.
Answer: D
NEW QUESTION # 60
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. Regex Based Extractor. Form Extractor. Intelligent Form Extractor, and Machine Learning Extractor.
- C. Full Extractor. Machine Learning Extractor, Intelligent Form Extractor, and Regex Based Extractor.
C Form Extractor Incremental Extractor Machine Learning Extractor and Intelligent Form Extractor
Answer: B
NEW QUESTION # 61
What is the role of the Taxonomy Manager?
- A. To select the type of ML that can be used in the project.
- B. To present a document processing specific user interface for validating and correcting automatic classification outputs.
- C. To select which extractors are trained for each document type and field.
- D. To create and edit a Taxonomy file specific to the current automation project.
Answer: D
NEW QUESTION # 62
What are the two main data extraction methodologies used in document understanding processes?
- A. Rule-based and model-based data extraction.
- B. Manual and model-based data extraction.
- C. Hybrid and manual data extraction.
- D. Rule-based and hybrid data extraction.
Answer: A
NEW QUESTION # 63
Which is the correct description of the Configure Extractors Wizard?
- A. A mandatory step in the extractor configuration that allows choosing which extractors are applied to each field.
- B. A mandatory step in the extractor configuration that allows choosing which extractors are applied to each document type and field.
- C. A mandatory step in the extractor configuration that allows choosing which extractors are applied to each document type.
- D. An optional step in the extractor configuration which allows choosing which extractors are applied to each document type.
Answer: B
NEW QUESTION # 64
What is the recommended split of documents for training and evaluation, considering a total of 15 documents per vendor?
- A. 10 documents for training the model, and 5 for evaluating the model.
- B. 7 documents for training the model, and 8 for evaluating the model.
- C. 8 documents for training the model, and 7 for evaluating the model.
- D. 12 documents for training the model, and 3 for evaluating the model.
Answer: A
NEW QUESTION # 65
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