UiPath UiSAI Certification Sample Questions

UiSAI Dumps, UiSAI PDF, UiSAI VCE, UiPath Specialized AI Professional VCE, UiPath Specialized AI Professional PDFThe 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.

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UiPath UiSAI Sample Questions:

01. Assuming the default Document Understanding Process, on what schema are the taxonomy fields in the InvoicePostProcessing.xaml based on?
a)
Created schema from dynamic values that are generated at runtime.
b) Created schema from hardcoded values used for the sample example.
c) Existing schema from a custom Invoice ML Model.
d) Existing schema from the out-of-the-box Invoice ML Model.

02. Why is having high coverage important for an automation-focused use case in UiPath Communications Mining?
a)
High coverage on the model means that fewer communications will be sent for manual review and that fewer automatable processes are missed.
b) The higher the coverage, the lower the model's recall, resulting in greater throughput of automatable processes.
c) High coverage ensures that the software consumes less computational resources, resulting in cost savings for the organization implementing the automation.
d) With high coverage, you can increase the amount of data provided downstream via Streams.

03. How can ML package details be viewed, including package version, creation time,change log, status, whether or not training is enabled, whether or not recommended GPU is enabled, and arguments?
a)
Click on the ML Packages in the list.
b) Click on the ML Packages in the list and navigate to the Version tab.
c) Click on the ML Packages in the list and navigate to the Pipeline Runs tab.
d) Click on the ML Packages in the list and navigate to the ML Logs tab.

04. Where should a model be pinned in UiPath Communications Mining?
a)
On the models tab.
b) When setting up a stream.
c) In the validation page.
d) In Admin > Models.

05. In Document Manager, what is the minimum number of fields that need to be labeled in order to be allowed to export the dataset?
a)
All documents need to be labeled.
b) No minimum number is required.
c) At least 10 labeled documents.
d) At least 5 labeled documents.

06. For an automation use case, what are the recommended model performance requirements in UiPath Communications Mining?
a)
Model Ratings of "Excellent" (90%+) and individual performance factors rated as "Excellent".
b) Model Ratings of "Good" (70%+) and individual performance factors rated as "Good" or better.
c) Model Ratings of "Good" (70%+) and individual performance factors rated as "Excellent".
d) Model Ratings of "Excellent" (90%+) and individual performance factors rated as "Good" or better.

07. When applying labels and entities in UiPath Communications Mining, what is the recommended approach to training efficiency?
a)
Train entities first, then labels.
b) Focus on labels, and entities will be trained automatically.
c) Train both labels and entities at the same time.
d) Train only entities for faster results.

08. The Segments tab in UiPath Communications Mining loads a number of charts by default, but some of those with a very high number of potential values can default to hidden. What are these hidden charts based on?
a)
Entities
b) 
Models
c) Labels
d) 
User properties

09. Which of these statements is true about entities in UiPath Communications Mining?
a)
A trainable entity will not generate predictions, while a non-trainable entity will generate predictions.
b) A trainable entity can only belong to one data source and model version.
c) Trainable entities are those that will update live in the platform based on training provided by users.
d) Training a non-trainable entity generates a new label with high confidence.

10. Who should have access to AI Center?
a)
Data Scientist and Process Controller.
b) Data Scientist, Process Controller, RPA Developer, and Business Analyst.
c) Business Analyst, Data Scientist, and RPA Developer.
d) Data Scientist, Process Controller, and RPA Developer.

Answers:

Question: 01
Answer: d
Question: 02
Answer: a
Question: 03
Answer: b
Question: 04
Answer: a
Question: 05
Answer: c
Question: 06
Answer: a
Question: 07
Answer: c
Question: 08
Answer: d
Question: 09
Answer: c
Question: 10
Answer: d

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