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UiPath Specialized AI Associate Exam (2023.10) Sample Questions (Q112-Q117):

NEW QUESTION # 112
How can a Pipeline be scheduled?

A. A Pipeline can be scheduled with a recurring schedule.
B. A Pipeline can be scheduled at multiple future dates or with a recurring schedule.
C. A Pipeline can be scheduled at a single future date or with a recurring schedule.
D. A Pipeline can be scheduled at a single future date.

Answer: C

Explanation:
In UiPath's AI Center, a Pipeline can be scheduled for execution either at a specific future date or with a recurring schedule. This allows for flexibility in automating the retraining or execution of machine learning models based on predefined time intervals or specific dates. For example, you can schedule a pipeline to run once on a given date or set it to run daily, weekly, or monthly, depending on the project's needs.
For more information, refer to:
UiPath AI Center Documentation: Pipeline Scheduling
Automation Pipelines in AI Center: Pipeline Execution and Scheduling

NEW QUESTION # 113
Why should using the Search feature be limited when training in UiPath Communications Mining?

A. It could decrease model coverage.
B. It could increase model coverage.
C. It could increase model bias.
D. It could decrease model bias.

Answer: C

Explanation:
In UiPath Communications Mining, over-reliance on the Search feature during the training process can lead to an increase in model bias. This happens because using search-based filtering to identify and label examples might not represent the full diversity of the data. The model could be trained on a skewed subset of the data, causing it to favor certain patterns or keywords, and thus biasing the model towards specific types of data rather than learning to generalize effectively across all data.
Limiting the use of search ensures that the training process considers a broader and more representative sample of the data, which reduces the risk of introducing bias into the model and helps it generalize better to new, unseen communications.
For more details, refer to:
UiPath Communications Mining Documentation: Model Training and Avoiding Bias

NEW QUESTION # 114
Which of the following statements is true regarding reviewing and applying entities in UiPath Communications Mining?

A. All of the entities within a paragraph should be reviewed.
B. A single entity value can be split across multiple paragraphs.
C. All of the entities in a communication must be reviewed.
D. If the entity value is correctly predicted, but the entity type is wrong, it cannot be changed.

Answer: A

Explanation:
According to the UiPath Communications Mining documentation, reviewing and applying entities is a crucial step for improving the accuracy and performance of the entity extraction models. When reviewing entities, users should check all of the predicted entities within a paragraph, as well as any missing or incorrect ones.
Users can accept, reject, edit, or create entities using the platform's interface or keyboard shortcuts. Users can also change the entity type if the value is correct but the type is wrong. Reviewing and applying entities helps the platform learn from the user feedback and refine its predictions over time. It also helps users assess the automation potential and benefit of the communications data.
References:
Communications Mining - Reviewing and applying entities
Communications Mining - Improving entity performance

NEW QUESTION # 115
Which of the following are unstructured documents?

A. Banking forms, tax forms, surveys, and identity cards.
B. Invoices, receipts, purchase orders, and medical bills.
C. Contracts, emails, banking forms, and tax forms.
D. Contracts, agreements, and emails.

Answer: D

Explanation:
Unstructured documents are those that do not have a predefined format or layout, and therefore cannot be easily processed by traditional methods. They often contain free-form text, images,tables, and other elements that vary from document to document. Examples of unstructured documents include contracts, agreements, emails, letters, reports, articles, and so on. UiPath Document Understanding is a solution that enables the processing of unstructured documents using AI-powered models and RPA workflows1.
The other options are not correct because they are examples of structured or semi-structured documents.
Structured documents are those that have a fixed format or layout, and can be easily processed by rules-based methods. They often contain fields, labels, and values that are consistent across documents. Examples of structured documents include banking forms, tax forms, surveys, identity cards, and so on. Semi-structured documents are those that have some elements of structure, but also contain variations or unstructured content.
They often require a combination of rules-based and AI-powered methods to process. Examples of semi- structured documents include invoices, receipts, purchase orders, medical bills, and so on2.
References: 1: Unstructured Data Analysis with AI, RPA, and OCR | UiPath 2: Structured, semi structured, unstructured sample documents for UiPath document understanding - Studio - UiPath Community Forum

NEW QUESTION # 116
For an analytics use case, what are the recommended minimum model performance requirements in UiPath Communications Mining?

A. Model Ratings of "Excellent" and individual performance factors rated as "Good" or better.
B. Model Ratings of "Good" and individual performance factors rated as "Excellent".
C. Model Ratings of "Good" or better and individual performance factors rated as "Good" or better.
D. Model Ratings of "Excellent" and individual performance factors rated as "Excellent".

Answer: C

NEW QUESTION # 117
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UiPath Specialized AI Associate Exam (2023.10) Sample Questions (Q112-Q117):

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