최신UiPath Certified Professional Specialized AI Professional v1.0 - UiPath-SAIv1무료샘플문제

A. Based on the use case developed, create test data to test existing tests.

B. Simply run the existing tests

C. Use them as a template to create other tests.

D. Based on the use case developed, create test data to test existing and new tests.

A. For every 100 messages, 80 would be labelled correctly as 'Label X', and 20 would be labelled incorrectly.

B. For every 100 messages, 20 would be labelled correctly as 'Label X', and 80 would be labelled incorrectly.

C. For every 100 messages which should have been labelled as 'Label X\ 20 were labelled and 80 were missed.

D. For every 100 messages which should have been labelled as 'Label X', 80 were labelled and 20 were missed.

A. For structured or semi-structured documents in which layouts of different document providers have little to no variation.

B. For structured or semi-structured documents in which layouts of different document providers vary greatly.

C. For structured or semi-structured documents where for certain fields, data is always found in a strict, predictable format and context.

D. For structured or semi-structured documents where the extraction method is based on a set of FlexiCapture definition files.

A. It suspends the workflow until a specified document validation action is completed, ensuring human review and correction.

B. It initiates the classification process for documents across different platforms, ensuring consistent and accurate document organization and categorization.

C. It automatically validates classified data without human intervention, expediting document processing by removing the need for manual review and correction.

D. It prioritizes actions in Action Center based on document classification results, optimizing task management and allocation according to the importance of document classifications.

A. To classify documents using a combination of generative and specialized models.

B. To classify documents using generative OCR.

C. To classify documents using AI Center out-of-the-box generative models.

D. To classify documents using generative models.

A. String.Join(",", UserNames)

B. String.Concat(UserNames,",")

C. String.Concat(",", UserNames)

D. String.Join(UserNames,",")

A. 15

B. 25

C. 20

D. 30

A. A sub-field of artificial intelligence that enables systems to learn from data. Systems learn from previous experience and information to deduce and predict future information. To do this they use algorithms that learn to perform a specific task without being explicitly programmed.

B. A branch of artificial intelligence that deals with analyzing, understanding, and generating human natural languages. For example, NLP enables computers to hear speech, read text, interpret the text
/speech or measure the sentiment.

C. An area of machine learning concerned with artificial neural networks. These are a series of algorithms that aim to recognize relationships in a set of data through a process that mimics biological neural networks.

D. The theory and development of computer systems that are able to perform tasks that normally require human intelligence and decision making.

A. An area of machine learning concerned with artificial neural networks.These are a series of algorithms that aim to recognize relationships in a set of data through a process that mimics biological neural networks.

B. A sub-field of artificial intelligence that enables systems to learn from data.
Systems learn from previous experience and information to deduce and predict future information. To do this they use algorithms that learn to perform a specific task without being explicitly programmed.

C. The theory and development of computer systems that are able to perform tasks that normally require human intelligence and decision making.

D. A field of artificial intelligence that enables computers to gain high-level understanding from digital images or videos. If AI is the brain, then this is the eye that enables the computer to observe and understand. It works the same as the human eye.

A. Exact match and Levenshtein.

B. Exact match and Native string search.

C. Exact match and First span.

D. Exact match and Auto.

A. The label precision and recall statistics are determined by the mean average precision (MAP).

B. The label precision and recall statistics are determined by the confidence threshold.

C. The label precision and recall statistics are determined by the model's rating.

D. The label precision and recall statistics are determined by the model's coverage.

A. Solution Design phase

B. Process Design phase

C. Kick-off phase

D. User Acceptance Testing phase

A. Outline Panel

B. Variables Panel

C. Activities Panel

D. Manage Packages