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UiPath UiPath-SAIv1 Exam Syllabus Topics:

UiPath Certified Professional Specialized AI Professional v1.0 Sample Questions:

1. What does the Label Trends table in UiPath Communications Mining show?

A) How the top 10 labels for a given time period perform compared to the previous period and their change in rank.
B) How the top 10 labels and entities for a given time period perform compared to the previous period and their change in rank.
C) How the top 10 entities for a given time period perform compared to the previous period and their change in rank.
D) How the top 10 senders for a given time period perform compared to the previous period and their change in rank.

2. What does the Automation Suite installer enable?

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

3. How do you use the Generative Classifier within UiPath Document Understanding Cloud APIs to classify a document as either an "Invoice" or a "Receipt"?

A) By sending a POST request to /api/framework/projects/{projectld}/classifiers/generative_classifier
/dassification with a body containing prompts that specify the 'Invoice' and 'Receipt' names and a description for their fields.
B) By sending a PUT request to /api/framework/proiects/{projectld}/classifiers/generative_classifier
/classification without any specific classification details in the body of the request.
C) By sending a POST request to yapi/framework/projectsy{projectld}/ctassifiers/generative_classifier
/classification with a body containing prompts that specify the 'Invoice' and 'Receipt' names and descriptions.
D) By sending a GET request to /api/framework/projects/{projectld}/classifiers/generative_classifier
/classification with a body containing prompts that specify the 'Invoice' and 'Receipt' names and descriptions.

4. Which of the following statements is correct in the context of migrating a schema from Document Manager to a Modern Project?

A) If you import a schema into a document type that already contains a schema, the import will be successful and the schema will be updated with the missing field.
B) If you import a schema into a document type that already contains a schema, the import will fail only if documents were already uploaded.
C) If you import a schema into a document type that already contains a schema, the import will fail.
D) If you import a schema into a document type that already contains a schema, the import will be successful and the schema will be overridden.

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

Solutions: