UiPath Certified Professional Specialized AI Professional v1.0 : UiPath-SAIv1

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UiPath UiPath-SAIv1 Exam Syllabus Topics:

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

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

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

2. Which of the following is true when creating an ML Package in UiPath Al Center?

A) The package name cannot contain any spaces or hyphens.
B) The package name cannot use any Python reserved keywords.
C) The package name cannot exceed 10 characters in length.
D) The package name cannot include any special characters such as "@", "S", or "#".

3. What is the definition of Machine Learning?

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

4. How should the data be managed after extraction in the UiPath Document Understanding process?

A) Store the data temporarily in local folders before processing.
B) Keep the data only in the queue items without serialization.
C) Serialize the data and store it in a storage bucket or similar location.
D) Directly pass the extracted data to other processes via Arguments.

5. Which of the following scenarios is a good candidate for using Document Understanding Cloud APIs with synchronous calls?

A) You need to process documents larger than five pages.
B) You need to handle multiple operations simultaneously, allowing for concurrent processing and avoiding idle time.
C) You need real-time interaction and you are only processing documents with maximum five pages.
D) You have a large dataset that needs long-term processing.

Solutions: