Valid Real UiPath-SAIv1 Exam & New UiPath-SAIv1 Exam Practice
Valid Real UiPath-SAIv1 Exam & New UiPath-SAIv1 Exam Practice
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UiPath Certified Professional Specialized AI Professional v1.0 Sample Questions (Q179-Q184):
NEW QUESTION # 179
What does the darker shading of a label prediction represent in Explore in UiPath Communications Mining?
- A. Multiple label predictions.
- B. An incorrect prediction.
- C. A lower confidence score.
- D. A higher confidence score.
Answer: D
Explanation:
In UiPath Communications Mining, the shading of label predictions in the Explore section indicates confidence levels. Darker shading represents a higher confidence score, meaning the model is more certain of the prediction made for that particular label
NEW QUESTION # 180
While training a UiPath Communications Mining model, the Search feature was used to pin a certain label on a few communications. After retraining, the new model version starts to predict the tagged label but infrequently and with low confidence.
According to best practices, what would be the correct next step to improve the model's predictions for the label, in the "Explore" phase of training?
- A. Use the "Rebalance" training mode to pin the label to more communications.
- B. Use the "Low confidence" training mode to pin the label to more communications.
- C. Use the 'Teach" training mode to pin the label to more communications.
- D. Use the "Search" feature to pin the label to more communications.
Answer: C
Explanation:
According to the UiPath documentation, the 'Teach' training mode is used to improve the model's predictions for a specific label by pinning it to more communications that match the label's criteria. This helps the model learn from more examples and increase its confidence and accuracy. The 'Teach' mode also allows you to unpin the label from communications that do not match it, which helps the model avoid false positives. The other training modes are not as effective for this purpose, as they either focus on different aspects of the model performance or do not provide enough feedback to the model.
References:
* Model training and labelling best practice
* Overview of the model training process
* Model Training FAQs
NEW QUESTION # 181
In the UiPath Implementation Methodology, which phase involves building the SDD (Solution Design Document)?
- A. Kick-off phase
- B. User Acceptance Testing phase
- C. Process Design phase
- D. Solution Design phase
Answer: D
NEW QUESTION # 182
Under what condition can a project be deleted in UiPath AI Center?
- A. If it does not have any running pipelines.
- B. If it does not have any pipeline data.
- C. If it does not have any scheduled pipelines.
- D. If it does not have any deployed packages.
Answer: D
Explanation:
A project in UiPath AI Center is an isolated group of resources (datasets, pipelines, packages, skills, and logs) that you use to build a specific ML solution. You can create, edit, or delete projects from the Projects page or the project's Dashboard page. However, you can only delete a project if it does not have any package currently deployed in a skill. A package is a versioned and deployable unit of an ML model or an OS script that can be used to create an ML skill. A skill is a consumer-ready, live deployment of a package that can be used in RPA workflows in Studio. If a project has a package deployed in a skill, you need to undeploy the skill first before deleting the project. This is to ensure that you do not accidentally delete a project that is being used by a skill12.
References: 1: AI Center - Managing Projects 2: AI Center - Managing ML Skills
NEW QUESTION # 183
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 with easy installation due to the automatic retrieval of the installer and associated artifacts from the internet.
- 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, and requires manual download of all the resources and then loading them into the node.
Answer: A
Explanation:
According to the UiPath documentation portal1, the Automation Suite installer is a single package that enables the deployment of the full UiPath Automation Platform in the environment of choice, whether on- premises or in the cloud. The Automation Suite installer contains all the components and dependencies required for the installation, such as the infrastructure, the orchestrator, the AI Center, the Action Center, the Insights, the Test Suite, and the Document Understanding. The Automation Suite installer also supports multi- node deployment with automatic scaling and built-in high availability, as well as easy monitoring, configuration, and upgrade options1. Therefore, option C is the correct answer, as it describes the features and benefits of the Automation Suite installer. Option A is incorrect, as it refers to the UiPath Automation Cloud, which is a different offering that does not require an installer. Option B is incorrect, as it describes a manual installation process that is not enabled by the Automation Suite installer. Option D is incorrect, as it confuses the Automation Suite installer with the installUiPathAS.sh script, which is a separate file that is used to launch the installer wizard2.
References: 1 Automation Suite - Overview 2 Automation Suite - Downloading the installation packages
NEW QUESTION # 184
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