Free UiPath UiPath-SAIAv1 Practice Exam with Questions & Answers | Set: 2

In UiPath:

Variables are scoped to a specific workflow or sequence and are used to store data for operations within that scope.

Arguments, on the other hand, are used to pass data between workflows, allowing information to flow in or out of invoked workflows.

The synchronous API calls for UiPath Document Understanding Cloud are ideal when you need real-time interaction and fast feedback, such as when processing small documents (with up to five pages). This approach is beneficial in use cases requiring low latency, but it is less suitable for large datasets or documents due to limitations in speed and page count

Comprehensive and Detailed Explanation From Exact Extract:

ThePresent Classification Stationactivity is specifically used toreview and correct the classification resultsperformed by the "Classify Document" activity.

It allows a human to validate which document type has been assigned before data extraction begins.

UiPath Documentation Reference:Classification Station – Document Understanding

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 Adding missed labels helps improve the label precision and recall in UiPath Communications Mining. Precision is the percentage of correctly labeled verbatims out of all the verbatims that have the label applied, while recall is the percentage of correctly labeled verbatims out of all the verbatims that should have the label applied. By adding missed labels, you are increasing the recall of the label, as you are reducing the number of false negatives (verbatims that should have the label but do not). This also improves the precision of the label, as you are reducing the noise in the data and making the label more informative and consistent. Adding missed labels is one of the recommended actions that the platform suggests to improve the model rating and performance of the labels.

When creating a data labeling session in UiPath AI Center, the key pieces of information required are:

The data labeling session name: A unique identifier for the session.

The dataset: The data that will be used in the labeling session.

For more details, refer to:

UiPath AI Center Documentation: Data Labeling Sessions

Comprehensive and Detailed Explanation From Exact Extract:

Variables in UiPath are scoped to thecontainer (e.g., Sequence, Flowchart, or State Machine)where they are defined. Thebroadest scope possibleis theentire outermost workflow (e.g., Main.xaml).

Global variables across multiple workflowsrequire use ofargumentsor storage inassets or config files, not regular variables.

UiPath Documentation Reference:Variables Panel – Scope Concept

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UiPath Document Understanding is the most suitable product for processing invoices. It provides tools for digitization, classification, data extraction, and validation, which are ideal for structured and semi-structured documents like invoices.

According to the UiPath documentation, OmniPaqe is a paid OCR engine that requires a license to use. It is one of the most accurate and reliable OCR engines available, and it supports over 200languages. The other OCR engines listed are free of charge, but they may have different features, limitations, and performance levels. For example, Tesseract is an open-source OCR engine that supports over 100 languages, but it may not be as accurate as OmniPaqe. Microsoft Azure OCR and Microsoft OCR are both cloud-based OCR engines that use Microsoft’s technology, but they have different capabilities and pricing models. Microsoft Azure OCR can process both printed and handwritten text, and it uses a pay-as-you-go model based on the number of transactions. Microsoft OCR can only process printed text, and it is included in the UiPath Studio license.