UiPath UiSAI Certification Sample Questions
The purpose of this Sample Question Set is to provide you with information about the UiPath Specialized AI Professional (UiSAI) exam. These sample questions will make you very familiar with both the type and the difficulty level of the questions on the UiSAI certification test. To get familiar with real exam environment, we suggest you try our Sample UiPath Specialized AI Professional Certification Practice Exam. This sample practice exam gives you the feeling of reality and is a clue to the questions asked in the actual UiPath Certified Professional Specialized AI Professional (UiSAI) certification exam.
These sample questions are simple and basic questions that represent likeness to the real UiPath Specialized AI Professional exam questions. To assess your readiness and performance with real-time scenario based questions, we suggest you prepare with our Premium UiPath UiSAI Certification Practice Exam. When you solve real time scenario based questions practically, you come across many difficulties that give you an opportunity to improve.
UiPath UiSAI Sample Questions:
Which annotation approach is recommended for training efficiency?
a) Annotate general fields across the dataset first, then return for labels
b) Annotate only general fields, since they reach good performance faster
c) Annotate only labels, because general fields learn from label annotations
d) Review labels and general fields on each message in the same pass
Business stakeholders require high automation rates but insist that incorrect customer information must never be submitted to downstream systems without human verification.
Which implementation best satisfies both requirements?
a) Send every document to manual review
b) Disable confidence thresholds so every field is exported automatically
c) Route fields below a confidence threshold to human validation before export
d) Exclude the handwritten fields from extraction
If these inconsistencies remain, analytics, annotation and automation may produce unreliable results across business units. The team wants to correct the issue before production rollout while minimizing future maintenance.
Which action should the team perform first?
a) Publish a new model version.
b) Expand the label categories.
c) Increase the model's confidence thresholds.
d) Standardize the imported data and metadata.
What happens if the schema is imported into a document type that already contains a schema?
a) The import fails, but only if documents have already been uploaded to that type.
b) The import fails because schema imports are limited to document types with no existing schema.
c) The import succeeds and only the missing fields are added to the existing schema.
d) The import succeeds and the existing schema is overridden.
a) Label predictions
b) Confidence thresholds for each label
c) Label descriptions
d) Annotated example messages for each label
a) A schema built from hardcoded values written for the sample
b) The existing schema of a custom-trained invoice ML model
c) The existing schema of the out-of-the-box Invoices ML model
d) A schema built from dynamic values generated at runtime
What are these hidden charts based on?
a) General fields
b) User properties
c) Exception types
d) Labels
a) Process / Request types
b) Customer experience
c) Products / Systems
d) Root causes / Exceptions
a) Classification Station
b) Validation Station
c) Taxonomy Manager
d) Document Manager
a) A session name and a dataset
b) A session name, a language and a number of documents
c) A dataset and the AI Center project
d) A session name, a dataset and the AI Center project
Answers:
|
Question: 01 Answer: d |
Question: 02 Answer: c |
Question: 03 Answer: d |
Question: 04 Answer: b |
Question: 05 Answer: c |
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Question: 06 Answer: c |
Question: 07 Answer: b |
Question: 08 Answer: a |
Question: 09 Answer: d |
Question: 10 Answer: a |
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