UIPATH UIPATH-SAIAV1 EXAM TEST - UIPATH-SAIAV1 TRUSTWORTHY EXAM CONTENT

UiPath UiPath-SAIAv1 Exam Test - UiPath-SAIAv1 Trustworthy Exam Content

UiPath UiPath-SAIAv1 Exam Test - UiPath-SAIAv1 Trustworthy Exam Content

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

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UiPath Specialized AI Associate Exam (2023.10) Sample Questions (Q231-Q236):

NEW QUESTION # 231
Which is the correct description of the Configure Extractors Wizard?

  • A. A mandatory step in the extractor configuration that allows choosing which extractors are applied to each document type and field.
  • B. A mandatory step in the extractor configuration that allows choosing which extractors are applied to each field.
  • C. A mandatory step in the extractor configuration that allows choosing which extractors are applied to each document type.
  • D. An optional step in the extractor configuration which allows choosing which extractors are applied to each document type.

Answer: A

Explanation:
The Configure Extractors Wizard is a tool that enables you to select and customize the extractors that are used for data extraction from documents. It is accessed via the Data Extraction Scope activity, which is a container for extractor activities. The wizard allows you to map the fields defined in your taxonomy with the fields supported by each extractor, and to set the minimum confidence level and the framework alias for each extractor. The wizard is mandatory for the extractor configuration, as it ensures that the extractors are applied correctly to each document type and field1.
References: Configure Extractors Wizard of Data Extraction Scope


NEW QUESTION # 232
What is the primary purpose of assigning labels to messages within a dataset in UiPathCommunications Mining?

  • A. To allocate 20 training examples for each label.
  • B. To apply labels to a maximum amount of data to enhance model performance.
  • C. To provide the platform with a collection of keywords associated with each label for predicting other instances.
  • D. To formulate a comprehensive training set that closely reflects the entirety of the dataset.

Answer: D

Explanation:
Reference: UiPath Communications Mining Training


NEW QUESTION # 233
What is the order of steps for automatically retraining and deploying a Document Understanding ML Model in Al Center with data from Document Validation Action?
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.

To automatically retrain and deploy a Document Understanding Machine Learning (ML) Model in AI Center with data from the Document Validation Action, the steps should be followed in this order:
Send Human in the Loop data to the used Dataset.
This step involves sending the data that has been validated and corrected by human reviewers to the dataset.
This data will be used for training the ML model.
Use the Export feature from Document Manager using Scheduled Export.
After the data is reviewed and validated, it needs to be exported from the Document Manager. Scheduled Export automates this process, ensuring the dataset in AI Center is regularly updated with new data.
Run Training/Full Pipeline in AI Center using Scheduled Pipeline with Auto-Retraining enabled.
With the updated data in the dataset, the next step is to run the training or the full pipeline. The use of Scheduled Pipeline with Auto-Retraining ensures that the ML model is automatically retrained with the latest data.
Enable the Auto Update feature in the ML Skill.
Finally, enabling the Auto Update feature in the ML Skill ensures that the newly trained model is automatically deployed, making the improved model available for document understanding tasks.
Following these steps in the specified order allows for a streamlined process of continuously improving the ML model based on human-validated data, ensuring better accuracy and efficiency in document understanding tasks over time.


NEW QUESTION # 234
Why is it important to understand the potential value UiPath Communications Mining can enable prior to training?

  • A. To calculate the potential reduction in data storage costs due to model training.
  • B. To forecast the number of trainers that are required to achieve an excellent performing model.
  • C. To estimate the amount of time required to build an excellent performing model.
  • D. To ensure the objectives are focused on delivering targeted value and the model's taxonomy is aligned to value realization.

Answer: D

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
Before training a model in Communications Mining, it iscrucial to align the taxonomy and labeling strategy with business goalsto ensure the outputs provide measurable value. This preparation stage helps define KPIs, label definitions, and ensures the AI output leads to actionable automation or insight.
* Focusing on value from the startprevents wasted effortand allows prioritization of the most impactful communication types.
* UiPath Documentation Reference:Communications Mining - Best Practices for Training


NEW QUESTION # 235
What is the benefit of making an ML Skill public?

  • A. It allows access from outside of the UiPath environment.
  • B. It provides additional security measures for the ML Skill.
  • C. It allows access from inside of the UiPath environment.
  • D. It enables automatic updates and enhancements to the ML Skill without user intervention.

Answer: A

Explanation:
Making an ML Skill public in UiPath enables it to be accessed externally from the UiPath ecosystem. This can be beneficial if the ML Skill needs to be utilized in external applications, systems, or services beyond UiPath's automation environment. Public access expands the usability of the skill, allowing integration with other systems while maintaining security through managed endpoints.


NEW QUESTION # 236
......

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