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UiPath UiPath-SAIv1 Exam Syllabus Topics:

UiPath Certified Professional Specialized AI Professional v1.0 Sample Questions:

1. Which of the following is a best practice when choosing a UiPath ML (Machine Learning) Extractor?

A) 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.
B) 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.
C) 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.
D) 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.

2. Which UiPath Communications Mining model performance factor assesses the proportion of the entire dataset that has informative label predictions?

A) Balance.
B) Average label performance.
C) Coverage.
D) Underperforming labels.

3. When a parent label is deleted in UiPath Communications Mining, what happens to the training data tor that label?

A) The parent label and any child labels to that parent label are removed from any reviewed messages.
B) The parent label and any child labels to that parent label are removed from any reviewed messages, any messages with updated annotations are flagged for review.
C) The parent label is removed from any reviewed messages, messages with any child labels to that parent label are flagged for review.
D) The parent label is removed from any reviewed messages but the child labels to that parent label remain.

4. What can the Sentiment Analysis out-of-the-box model be used for?

A) Extract and classify text in emails, letters, web pages, research papers, and call transcripts.
B) Understand the emotion in product reviews, customer surveys, social media posts, and emails.
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.

5. How does UiPath Document Understanding handle structured documents with fixed formats?

A) It uses optical character recognition (OCR) to extract text from the documents.
B) It requires manual data entry, as structured documents cannot be processed automatically.
C) It leverages predefined templates for accurate data extraction.
D) It relies on AI models for natural language processing.

Solutions: