UiPath-SAIAv1 UiPath Specialized AI Associate Exam (2023.10) Exam Practice Test

Answer : B

The Taxonomy Manager is a tool that enables you to create and edit a Taxonomy file, which is an XML file that defines the document types and fields that are relevant for your automation project1.The Taxonomy file is used by the Classify Document Scope and Data Extraction Scope activities to perform document classification and data extraction, respectively2.The Taxonomy Manager allows you to add, remove, rename, or reorder document types and fields, as well as specify the data type, format, and validation rules for each field3. The Taxonomy Manager also provides a preview of the Taxonomy file and a validation feature to check for errors or inconsistencies.

1: About Taxonomy Manager2: About Document Understanding Framework3: Using the Taxonomy Manager : Taxonomy Manager User Interface Description

Answer : C

The typical machine learning model deployment process in UiPath AI Center usually takes between10-15 minutes1.This process involves wrapping the model in UiPath's serving framework and deploying it within a namespace on AI Fabric's Kubernetes cluster that is only accessible by your tenant1. Please note that the actual time may vary depending on the complexity of the model and other factors.

AI Center - Managing ML Skills (uipath.com)

Answer : B

Comprehensive and Detailed Explanation From Exact Extract:

The Train stage in Document Understanding refers to the process of using validated data (often corrected by a human) to improve the accuracy of ML models. This is a core step in supervised learning workflows using AI Center.

The validated output is sent back for retraining the model in a feedback loop.

UiPath Documentation Reference:

Training Pipelines -- AI Center

Answer : C

When you create a training dataset for document classification or data extraction, you need to split your documents into two subsets: one for training the model and one for evaluating the model. The training subset is used to teach the model how to recognize the patterns and features of your document types and fields. The evaluation subset is used to measure the performance and accuracy of the model on unseen data.The evaluation subset should not be used for training, as this would bias the model and overfit it to the data1.

The recommended split of documents for training and evaluation depends on the size and diversity of your data. However, a general guideline is to use a 70/30 or 80/20 ratio, where 70% or 80% of the documents are used for training and 30% or 20% are used for evaluation. This ensures that the model has enough data to learn from and enough data to test on. For example, if you have 15 documents per vendor, you can use 10 documents for training and 5 documents for evaluation. This would give you a 67/33 split, which is close to the 70/30 ratio.You can also use the Data Manager tool to create and manage your training and evaluation datasets2.

Answer : C

Comprehensive and Detailed Explanation From Exact Extract:

In UiPath, when executing an activity such as Click, the timeout behavior is determined as follows:

If the Timeout property in the activity is set, that value is used.

If the Timeout is left blank, the system uses the default from Project Settings under UI Automation Modern Timeout.

In this case (based on the second image):

The Click activity explicitly has Timeout set to 15 seconds.

Therefore, this activity will override the project-level default timeout (which is 30 seconds as seen in the first image).

Rule Applied:

Activity Timeout > Project Settings Timeout (if defined)

Hence, if the target element is not found, UiPath will wait for 15 seconds, as specified in the activity's Timeout field, before throwing an error.

UiPath Documentation Reference:

TimeoutMS Property -- UiPath Docs

Answer : B

The Document Understanding Process is a fully functional UiPath Studio project template based on a document processing flowchart. It supports both attended and unattended robots with human-in-the-loop validation via Action Center. The process uses queues to store and process the input files, one file per queue item. However, the Auto Retry Functionality should be disabled on queues, because it can interfere with the human validation step and cause errors or duplicates. The process handles the retry mechanisms internally, using the Try/Catch and Error management features.

Document Understanding Process: Studio Template

Document Understanding Process - New Studio Template

Answer : B

According to the UiPath documentation, the recommended number of documents per vendor to train the initial dataset is 10. This means that for each vendor that provides a specific type of document, such as invoices or receipts, you should have at least 10 samples of their documents in your training dataset. This helps to ensure that the dataset is balanced and representative of the real-world data, and that the machine learning model can learn from the variations and features of each vendor's documents.Having too few documents per vendor can lead to poor model performance and accuracy, while having too many documents from a single vendor can cause overfitting and bias1.