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

1. What is the definition of Deep Learning?

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

2. In a Document Understanding project, the user needs to extract information from PDF documents with the following requirements:
* The documents can contain scanned or digitally typed text.
* The documents can contain checkboxes, and these must be extracted.
* The automation must use the logical processors in the most efficient way to obtain the maximum degree of parallelism.What are the properties provided to the Digitize Document activity in the Digitize phase?

A) ApplyOcrOnPdf -> Auto DegreeOfParallelism -> Max DetectCheckboxes -> True
B) ApplyOcrOnPdf -> No DegreeOfParallelism -> -1 DetectCheckboxes -> False
C) ApplyOcrOnPdf -> Auto
D) ApplyOcrOnPdf -> Auto DegreeOfParallelism -> -1 DetectCheckboxes -> True
E) ApplyOcrOnPdf -> No DegreeOfParallelism -> True DetectCheckboxes -> True

3. How is the Taxonomy component used in the Document Understanding Template?

A) To automatically extract structured data fields from documents, leveraging taxonomy mappings for precise data extraction.
B) To define the document types and the pieces of information targeted for data extraction (fields) for each document type.
C) To assign predefined document categories based on content similarity, simplifying classification tasks for easier document organization.
D) To convert scanned documents into machine-readable formats, utilizing taxonomy rules to enhance digitized content accuracy.

4. Under what condition can a project be deleted in UiPath AI Center?

A) If it does not have any running pipelines.
B) If it does not have any scheduled pipelines.
C) If it does not have any deployed packages.
D) If it does not have any pipeline data.

5. When dealing with variable-length data, or data spanning over multiple pages of the document (e.g. item tables), what is the recommended data extraction methodology to be used?

A) Manual data extraction.
B) Rule-based data extraction.
C) Hybrid data extraction.
D) Model-based data extraction.

Solutions: