Latest UiPath UiPath-SAIv1 Actual Free Exam Questions & Community Discussion, Page 6

Question #56

Under what condition can a dataset be deleted in UiPath Al Center?

A. If it has not been modified within the last 24 hours.

B. If it is not associated with any ML skills.

C. If it is not being used in any active pipeline.

D. If it has never been used in a pipeline.

Discussion 0

Correct Answer: C Vote an answer

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Question #57

What can be done in the Reports section of the dataset navigation bar in UiPath Communication Mining?

A. Access detailed, quervable charts, statistics, and customizable dashboards.

B. View, save, and modify dataset model versions.

C. Train models using unsupervised learning.

D. Monitor model performance and receive recommendations.

Discussion 0

Correct Answer: A Vote an answer

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Question #58

What does the Automation Suite installer enable?

A. Enables the deployment of the full UiPath Automation Platform in the environment of choice and contains everything in one package that can be deployed in multi-node mode with automatic scaling and built-in HA. monitor, configure, and upgrade.

B. Enables the deployment, management, and improvement of ML models locally, and requires manual download of all the resources and then loading them into the node.

C. Enables the deployment, management, and improvement of ML models on UiPath Automation Cloud, and requires no infrastructure and no maintenance.

D. Enables the deployment, management, and improvement of ML models locally with easy installation due to the automatic retrieval of the installer and associated artifacts from the internet.

Discussion 0

Correct Answer: A Vote an answer

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Question #59

What is the role of the dispatcher in the Document Understanding Process?

A. To ensure one job is created for each input file.

B. To manage downstream processes where the extracted Information is used

C. To process multiple files simultaneously in bulk.

D. To handle logging and exception mechanisms.

Discussion 0

Correct Answer: A Vote an answer

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Question #60

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: Evaluate
Package Major Version: 23.10.4.0 Package Minor Version: 0 Input Dataset: 1000+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: Full
Package Major Version: 23.10.4.0 Package Minor Version: 1 Input Dataset: 800 pages Evaluation Dataset: 100 pages

Discussion 0

Correct Answer: C Vote an answer

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Question #61

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.

Discussion 0

Correct Answer:

Explanation:

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.

Question #62

Which activity can be used to convert the default taxonomy.json file into a variable for further use?

A. UiPath.IntelligentOCR.Activities.TaxonomyManagement.LoadTaxonomy

B. UiPath.IntelligentOCR.Activities.TaxonomyManagement.LoadFile

C. UiPath.IntelligentOCR.Activities.TaxonomyManagement.LoadTaxonomyFile

D. UiPath.IntelligentOCR.Activities.TaxonomyManagement.LoadFileTaxonomy

Discussion 0

Correct Answer: C Vote an answer

Question #63

The "Train" stage from Document Understanding Framework usually comes after?

A. Validation.

B. Classification.

C. Digitization.

D. Extraction.

Discussion 0

Correct Answer: A Vote an answer

Question #64

How should the data be managed after extraction in the UiPath Document Understanding process?

A. Serialize the data and store it in a storage bucket or similar location.

B. Keep the data only in the queue items without serialization.

C. Directly pass the extracted data to other processes via Arguments.

D. Store the data temporarily in local folders before processing.

Discussion 0

Correct Answer: A Vote an answer

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Question #65

What components are part of the Document Understanding Process template?

A. Import. Classification. Text Extractor, and Data Validation.

B. Load Taxonomy, Digitization. Categorization. Data Validation, and Export.

C. Load Taxonomy, Digitization. Classification, Data Extraction, and Data Validation Export.

D. Load Document. Categorization. Data Extraction, and Validation.

Discussion 0

Correct Answer: C Vote an answer

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Question #66

For what type of documents is it recommended to use the RegEx Based Extractor?

A. For structured or semi-structured documents where the extraction method is based on a set of FlexiCapture definition files.

B. For structured or semi-structured documents where for certain fields, data is always found in a strict, predictable format and context.

C. For structured or semi-structured documents in which layouts of different document providers have little to no variation.

D. For structured or semi-structured documents in which layouts of different document providers vary greatly.

Discussion 0

Correct Answer: B Vote an answer

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