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

1. What is the purpose of UiPath Communications Mining?

A) Process unstructured communication data using NLP.
B) Generate code for automation processes.
C) Analyze financial data.
D) Design user interfaces.

2. What is the page unit cost per extracted page for the RegEx Extractor?

A) 0.2
B) 0.5
C) 1
D) 0

3. While training a UiPath Communications Mining model, the Search feature was used to pin a certain label on a few communications. After retraining, the new model version starts to predict the tagged label but infrequently and with low confidence.
According to best practices, what would be the correct next step to improve the model's predictions for the label, in the "Explore" phase of training?

A) Use the 'Teach" training mode to pin the label to more communications.
B) Use the "Low confidence" training mode to pin the label to more communications.
C) Use the "Search" feature to pin the label to more communications.
D) Use the "Rebalance" training mode to pin the label to more communications.

4. When a parent label is deleted in UiPath Communications Mining, what happens to the training data tor that label?

A) The parent label is removed from any reviewed messages, messages with any child labels to that parent label are flagged for review.
B) The parent label is removed from any reviewed messages but the child labels to that parent label remain.
C) The parent label and any child labels to that parent label are removed from any reviewed messages.
D) The parent label and any child labels to that parent label are removed from any reviewed messages, any messages with updated annotations are flagged for review.

5. Which of the following is a best practice when choosing a UiPath ML (Machine Learning) Extractor?

A) The popularity of the ML Extractor among other UiPath users should be the primary factor. Opt for the ML Extractor that has the highest number of downloads or positive reviews.
B) Consider the document types, language, and data quality. It is important to select one that is specifically trained or optimized for the document types being processed. It is also important to take into account the quality and diversity of the training data used to train the ML Extractor to ensure accurate and reliable extraction results.
C) The cost of the ML Extractor should be the main consideration. Select the ML Extractor that offers the lowest price, regardless of its performance or suitability for the specific document understanding needs.
D) The size of the ML Extractor is the most important factor to consider. Bigger models always perform better and provide more accurate extraction results because the development team invested time and effort into creating the algorithm, which in turn will result in better performance for the trained model.

Solutions: