UIPATH-SAIAV1 VALID TEST TOPICS | UIPATH-SAIAV1 RELIABLE TEST TUTORIAL

UiPath-SAIAv1 Valid Test Topics | UiPath-SAIAv1 Reliable Test Tutorial

UiPath-SAIAv1 Valid Test Topics | UiPath-SAIAv1 Reliable Test Tutorial

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UiPath Specialized AI Associate Exam (2023.10) Sample Questions (Q178-Q183):

NEW QUESTION # 178
Having the following list of documents:
Invoice1.pdf, Invoice2.raw, Invoice3.gif, Invoice4.jpg, Invoice5.docx
Please choose all the files that can be used in the DocumentPath property of the Classify Document Scope activity.

  • A. Invoice1.pdf, Invoice3.gif, Invoice5.docx
  • B. Invoice1.pdf, Invoice2.raw, Invoice3.gif, Invoice4.jpg
  • C. Invoice1.pdf, Invoice3.gif, Invoice4.jpg
  • D. Invoice1.pdf, Invoice4.jpg, Invoice5.docx

Answer: C

Explanation:
The Classify Document Scope activity in UiPath is used to classify documents supported by the Document Understanding framework. It primarily works with file formats like PDF, JPG, PNG, and other image-based formats but does not process raw or non-standard file types like .raw.
Reference: UiPath Classify Document Scope


NEW QUESTION # 179
What is DOM in the context of Document Understanding?

  • A. Document Object Model is a JSON object containing information such as name, content type, text length, and the number of pages.
  • B. Data Object Model is a YAML object containing information such as name, content type, text length, and the number of pages.
  • C. Digitized Object Model is an XML object containing information such as page data, content, and coordinates for every image identified in the file.
  • D. Digitize Object Module is an XML object containing information such as mandatory field names, types, and values

Answer: C

Explanation:
In UiPath Document Understanding, the Digitized Object Model (DOM) is an XML structure that contains detailed information about the document being processed. This includes data such as the content of each page, the coordinates of each element within the document, and additional metadata. The DOM is created during the digitization process, where scanned or image-based documents are converted into machine-readable formats for further processing, such as classification and data extraction.
For more details, refer to:
UiPath Document Understanding Documentation: Digitization and the DOM
Digitize Document Activity: Working with DOM


NEW QUESTION # 180
What is the correct order of uploading a package exported from UiPath AI Center?
Instructions: Drag the steps found on the "Left" and drop them on the "Right" in the correct order.

Answer:

Explanation:

Explanation:
A screenshot of a computer AI-generated content may be incorrect.

Export the package from AI Center. This is the first step where you prepare the package to be moved.
On the ML Packages page, click the Import ML Package button. This step is where you start the process of importing the package you've exported.
On the Upload package field, add the zip file downloaded using the Downloading ML Packages procedure.
After starting the import process, you will upload the actual package.
Click Create. This is the final step where you finalize the uploading process of your ML package.
Please proceed with these steps in the UiPath AI Center to upload your exported package correctly.


NEW QUESTION # 181
What is one best practice when designing a UiPath Communications Mining label taxonomy?

  • A. Each label should include customer experience/sentiment analysis in its coverage.
  • B. Each label should be identifiable from the text of the individual verbatim (not thread) to which it will be applied.
  • C. Each label should overlap sliqhtlv with a few distinct others so we ensure 100% coveraqe.
  • D. Each parent label should have at least 3 children labels to ensure specificity.

Answer: B

Explanation:
A label taxonomy is a hierarchical structure of concepts that you want to capture from your communications data, such as emails, chats, or calls. Each label represents a specific concept that serves a business purpose and is aligned to your objectives. A label taxonomy can have multiple levels of hierarchy, where each child label is a subset of its parent label. For example, a parent label could be "Product Feedback" and a child label could be "Product Feature Request" or "Product Bug Report". A label taxonomy is used to train a machine learning model that can automatically classify your communications data according to the labels you defined1.
One of the best practices for designing a label taxonomy is to ensure that each label is clearly identifiable from the text of the individual verbatim (not thread) to which it will be applied. A verbatim is a single unit of communication, such as an email message, a chat message, or a call transcript segment. A thread is a collection of related verbatims, such as an email conversation, a chat session, or a call recording. When you train your model, you will apply labels to verbatims, not threads, so it is important that each label can be recognized from the verbatim text alone, without relying on the context of the thread. This will help the model to learn the patterns and features of each label and to generalize to new data. It will also help you to maintain consistency and accuracy when labelling your data2.
References: 1: Communications Mining - Taxonomies 2: Communications Mining - Label hierarchy and best practice


NEW QUESTION # 182
How does Al Center handle versioning of ML packages?

  • A. Only ML packages uploaded by users change their minor version.
  • B. Only ML packages retrained via pipelines change their minor version.
  • C. Only ML packages retrained via pipelines change their major version.
  • D. Versioning is not supported for ML packages.

Answer: B

Explanation:
In UiPath AI Center, versioning of ML packages is an integral part of managing the lifecycle of machine learning models. Each ML package has a major and minor version to track changes. When an ML package is initially uploaded, it is assigned a major version (e.g., 1.0). If a package is retrained via pipelines, it increments the minor version (e.g., from 1.0 to 1.1). This mechanism helps differentiate between user- uploaded packages and those that have been retrained. Only packages that undergo retraining through pipelines modify their minor version, not the major version. Thus, answer D is correct.
(Source: docs.uipath.com on ML Package Management).


NEW QUESTION # 183
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