UiPath UiPath-SAIv1 real exam prep : UiPath Certified Professional Specialized AI Professional v1.0

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UiPath UiPath-SAIv1 Exam Syllabus Topics:

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

1. For what type of documents is it recommended to use the RegEx Based Extractor?

A) For structured or semi-structured documents where for certain fields, data is always found in a strict, predictable format and context.
B) For structured or semi-structured documents in which layouts of different document providers vary greatly.
C) For structured or semi-structured documents in which layouts of different document providers have little to no variation.
D) For structured or semi-structured documents where the extraction method is based on a set of FlexiCapture definition files.

2. Which are the the minimum required inputs in order to configure the Classification Station as an attended activity?

A) Taxonomy, Document Path, Document Directory, Document Text, Automatic Extraction Results.
B) Taxonomy, Document Object Model, Automatic Extraction Results, Document Directory.
C) Taxonomy, Document Path, Document Object Model, Document Text, Automatic Classification Results.
D) Taxonomy, Document Path, Document Object Model, Document Text.

3. Why is having high coverage important for an automation-focused use case in UiPath Communications Mining?

A) High coverage ensures that the software consumes less computational resources, resulting in cost savings for the organization implementing the automation.
B) With high coverage, you can increase the amount of data provided downstream via Streams.
C) The higher the coverage, the lower the model's recall, resulting in greater throughput of automatable processes.
D) High coverage on the model means that fewer communications will be sent for manual review and that fewer automatable processes are missed.

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

5. What is the recommended number of documents per vendor to train the initial dataset?

A) 20
B) 5
C) 10
D) 15

Solutions: