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UiPath UiPath-SAIv1 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Document Understanding | - Extraction and validation workflows - OCR and document classification |
| Generative AI and LLM Integration | - Prompt engineering and AI orchestration - Using LLMs in UiPath automation |
| AI Governance and Best Practices | - Security and compliance considerations - Responsible AI usage in enterprise automation |
| UiPath AI Center | - AI model deployment and lifecycle management - Using AI Center in automation workflows |
| AI Fundamentals for Automation | - Machine learning and deep learning basics - Introduction to AI concepts in enterprise automation |
UiPath Certified Professional Specialized AI Professional v1.0 Sample Questions:
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.
Explanation: Only visible for Exam4Free members. You can sign-up / login (it's free).
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.
Explanation: Only visible for Exam4Free members. You can sign-up / login (it's free).
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.
Explanation: Only visible for Exam4Free members. You can sign-up / login (it's free).
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.
Explanation: Only visible for Exam4Free members. You can sign-up / login (it's free).
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
Explanation: Only visible for Exam4Free members. You can sign-up / login (it's free).
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