NEW UIPATH-SAIAV1 REAL TEST, UIPATH-SAIAV1 BEST PRACTICE

New UiPath-SAIAv1 Real Test, UiPath-SAIAv1 Best Practice

New UiPath-SAIAv1 Real Test, UiPath-SAIAv1 Best Practice

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Tags: New UiPath-SAIAv1 Real Test, UiPath-SAIAv1 Best Practice, Accurate UiPath-SAIAv1 Study Material, Practice UiPath-SAIAv1 Test Engine, UiPath-SAIAv1 New Dumps

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UiPath Specialized AI Associate Exam (2023.10) Sample Questions (Q114-Q119):

NEW QUESTION # 114
When designing a taxonomy in UiPath Communications Mining, what is the similarity between labels and general fields?

  • A. They are entirely rule-based and follow a particular format.
  • B. They can be pre-trained or trained from scratch.
  • C. They are always assigned at the message level.
  • D. They are structured in hierarchies to add levels of specificity.

Answer: B

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
In UiPath Communications Mining, bothlabels (used for classification)andgeneral fields (used for data extraction)can be:
* Trained from scratchusing manually labeled data
* Or based onpre-trained models or imported training sets
This makes both elements part of thesupervised training process, and both contribute to improving model accuracy over time.
* UiPath Documentation Reference:Taxonomy Management - Communications Mining


NEW QUESTION # 115
Which of the following statements is true regarding reviewing and applying entities in UiPath Communications Mining?

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

Answer: C

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 # 116
Given the following scenario:
* You have a trained version of the Document Understanding Model with 1000 pages called v22.10.0.1.
* You have an evaluation dataset of 100 pages that gave a score of 0.72 for v22.10.0.1.
* The business team labeled 800 pages and they ask for an increment of the Model that would contain all
1000+800 pages.
What is the first recommended pipeline run configuration to create the new version?

  • A. Pipeline type: Training Package Major Version: 23.10.4.0 Package Minor Version: 1 Input Dataset:
    1000+800 Evaluation Dataset: N/A
  • B. Pipeline type: FullPackage Major Version: 23.10.4.0 Package Minor Version: 1 Input Dataset: 800 pages Evaluation Dataset: 100 pages
  • C. Pipeline type: Full Package Major Version: 23.10.4.0 Package Minor Version: 0 Input Dataset:
    1000+800 pages Evaluation Dataset: 100 pages
  • D. Pipeline type: EvaluatePackage Major Version: 23.10.4.0 Package Minor Version: 0 Input Dataset:
    1000+800 pages Evaluation Dataset: 100 pages

Answer: C

Explanation:
The correct pipeline configuration for creating a new model version that includes both the initial 1000 pages and the newly labeled 800 pages is to run a Full pipeline. This ensures that the model is fully retrained with all available data (1800 pages in total). The evaluation dataset should remain the 100 pages to gauge the model's performance after retraining. This approach maximizes the model's learning by incorporating all labeled data while allowing for evaluation against a known dataset.


NEW QUESTION # 117
What is the purpose of the generative classifier?

  • A. To classify documents using generative models.
  • B. To classify documents using generative OCR.
  • C. To classify documents using AI Center out-of-the-box generative models.
  • D. To classify documents using a combination of generative and specialized models.

Answer: A

Explanation:
Reference: UiPath Document Understanding Framework


NEW QUESTION # 118
What are the out-of-the-box model types available in AI Center?

  • A. Pre-trained, custom training, and reviewed.
  • B. Pre-trained, custom training, and fine-tunable.
  • C. Custom training, fine-tunable, and reviewed.
  • D. Pre-trained, fine-tunable, and reviewed.

Answer: B

Explanation:
According to the UiPath documentation, AI Center provides three types of out-of-the-box model types that can be used for different purposes and scenarios1:
Pre-trained: These are models that are already trained on a large and diverse dataset and can be used as-is for inference or prediction. They do not require any additional data or training from the user. Examples of pre- trained models are Language Detection, Sentiment Analysis, and Question Answering.
Custom training: These are models that allow the user to train them on their own data using the AI Center UI or API. They require the user to upload a dataset, configure the training parameters, and monitor the training progress and results. Examples of custom training models are Image Classification, Text Classification, and Named Entity Recognition.
Fine-tunable: These are models that are pre-trained on a general dataset but can be further trained or fine- tuned on a specific dataset provided by the user. They offer the best of both worlds: the benefit of using a pre- trained model and the flexibility of customizing it to the user's needs. Examples of fine-tunable models are Object Detection, Text Summarization, and Language Translation.
References:
1: Out-of-the-Box Packages


NEW QUESTION # 119
......

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