최신 UiPath-SAIv1 무료덤프 - UiPath Certified Professional Specialized AI Professional v1.0

A. Exact match and Finite state automation-based search.

B. Exact match and Levenshtein.

C. Exact match and Naive string search.

D. Exact match and Phonetic matching.

A. OmniPage.

B. Tesseract OCR.

C. UiPath Document OCR.

D. UiPath CJK (for Chinese. Japanese. Korean).

A. Label Summary.

B. Dashboards.

C. Segments.

D. Trends.

A. Out-of-the-box models are pre-trained models that cover a wide range of document types.

B. Out-of-the-box models are custom-built models created specifically for each project.

C. Out-of-the-box models are only available for specific languages and cannot be adapted for multilingual documents.

D. Out-of-the-box models require extensive training and customization before they can be used effectively.

A. Using Load Taxonomy activity.

B. Using Read Taxonomy activity.

C. Using DocumentTaxonomy.Deserialize method inside an Assign activity.

D. Using DeserializeTaxonomy activity.

A. It allows training document extractors without manually creating Datasets and Pipelines, but you need to manually deploy the ML Skills in AI Center.

B. It provides a simplified way to manually create Datasets, Pipelines, and Datasets for document extraction.

C. It automates the creation of document extractors by automatically creating Datasets, Pipelines, and ML Skills but requires manual creation of Pipelines.

D. It allows training document extractors without manually creating Datasets, Pipelines, and ML Skills in AI Center.

A. The Document Understanding Process contains the activities that can be used in a Process, while the Document Understanding Framework is the template that can be found in Studio.

B. The Document Understanding Process contains the activities that can be used in a Library, while the Document Understanding Framework is the template that can be found in Studio.

C. The Document Understanding Framework contains the activities that can be used in a Process, while the Document Understanding Process is the template that can be found in Studio.

D. The Document Understanding Framework contains the activities that can be used in a Library, while the Document Understanding Process is the template that can be found in Studio.

A. 15

B. 20

C. 5

D. 10

A. You need real-time interaction and you are only processing documents with maximum five pages.

B. You have a large dataset that needs long-term processing.

C. You need to process documents larger than five pages.

D. You need to handle multiple operations simultaneously, allowing for concurrent processing and avoiding idle time.

A. Volume of data uploaded.

B. Number of labels.

C. Mean Average Precision.

D. Number of annotations.

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.

A. Extraction.

B. Digitization.

C. Classification.

D. Validation.

A. Train Classifiers Scope activity.

B. Classify Document Scope activity.

C. Digitize Document activity.

D. Present Classification Station activity.

A. They improve label precision.

B. They enhance label recall.

C. They reduce label bias.

D. They negatively affect model performance.

A. Using ML Classifier on a 21-page document.

B. Creation of a Document Validation Action in Action Center.

C. Applying OCR on a 10-page document.

D. Using Intelligent Form Extractor on a 5-page document with 0 successful extractions.

A. 2% of the dataset has been reviewed by a model trainer.

B. The model makes correct predictions across the majority of the dataset.

C. Many of the labels in the taxonomy have amber or red performance warnings.

D. All of the labels in the dataset have at least 25 training examples.

A. Daily, Monthly, Quarterly, Yearly.

B. Daily, Bi-weekly, Quarterly, Yearly.

C. Daily, Weekly, Monthly, Yearly.

D. Daily, Bi-weekly, Monthly, Yearly.