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

1. Which feature should be used to inspect the available versions for activities employed within a workflow?

A) Manage Packages
B) Variables Panel
C) Activities Panel
D) Outline Panel

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

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

3. 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 -> No DegreeOfParallelism -> True DetectCheckboxes -> True
D) ApplyOcrOnPdf -> Auto DegreeOfParallelism -> -1 DetectCheckboxes -> True
E) ApplyOcrOnPdf -> Auto

4. Which is a high-level view of the tabs within an AI Center project?

A) Dashboard. Datasets, Data Labeling. ML Packages. Pipelines, ML Skills, and ML Logs.
B) Datasets, Data Labeling. ML Packages, ML Training, ML Evaluation, ML Skills, and ML Logs.
C) Datasets. Data Labeling. ML Packages. Pipelines, and ML Skills.
D) Dashboard. Datasets. ML Packages. ML Training. ML Evaluation, and ML Logs.

5. Why is it important to gather and analyze data about the languages in scope?

A) The main reason is that all taxonomy fields should have their names translated into all the languages presented in the documents to be processed.
B) This is a standard check but has no actual effect on the Document Understanding process.
C) If an ML (Machine Learning) extractor is used, the model schema fields should be renamed according to the most frequently used language from the documents to be processed
D) Different Document Understanding components have support for different languages, so they have to be selected according to the requirements.

Solutions: