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UiPath-SAIv1 Demo Test - Exam UiPath-SAIv1 Study Solutions

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UiPath Certified Professional Specialized AI Professional v1.0 Sample Questions (Q30-Q35):

NEW QUESTION # 30
What is a reason for pinning a UiPath Communications Mining Model?

A. To delete all other model versions.
B. To force the Ul to show predictions from that model version in explore
C. To allow AB comparing of the statistics of that model version with another one.
D. To allow rollback of annotations to that model version.

Answer: B

Explanation:
In UiPath Communications Mining, pinning a model ensures that the predictions shown in the Explore tab are generated from that specific model version. This feature allows users to control which version of the model is actively making predictions, particularly during evaluation or comparison stages. By pinning a model, the user ensures that the UI reflects the predictions from the selected version, helping maintain consistency when analyzing results or making changes.
For more details, refer to:
* UiPath Communications Mining: Model Management and Pinning
* UiPath AI Center Documentation: Managing Model Versions

NEW QUESTION # 31
For an analytics use case, what are the recommended minimum model performance requirements in UiPath Communications Mining?

A. Model Ratings of "Excellent" and individual performance factors rated as "Good" or better.
B. Model Ratings of "Excellent" and individual performance factors rated as "Excellent".
C. Model Ratings of "Good" or better and individual performance factors rated as "Good" or better.
D. Model Ratings of "Good" and individual performance factors rated as "Excellent".

Answer: C

NEW QUESTION # 32
Which are all the options for managing ML Skills?

A. ML skills can be created, updated to a new package version, rolled back to a previous package version, modified to use or not use GPU. made public or private, or deleted.
B. ML skills can be created, stopped, redeployed, updated to a new package version, rolled back to a previous package version, made public or private, or deleted.
C. ML skills can be created, stopped, redeployed, updated to a new package version, rolled back to a previous package version, modified to use or not use GPU. made public or private, or deleted.
D. ML skills can be created, stopped, redeployed, updated to a new package version, rolled back to a previous package version, modified to use or not use GPU. modified to use or not use Al units, made public or private, or deleted.

Answer: D

Explanation:
In UiPath AI Center, ML Skills can be managed in various ways, allowing users to customize and control how these skills are deployed and used. The management options include:
* Creating a new ML skill.
* Stopping a deployed skill.
* Redeploying an ML skill.
* Updating to a new package version.
* Rolling back to a previous version if needed.
* Modifying GPU usage.
* Modifying the use of AI units.
* Making the skill public or private.
* Deleting an ML skill when no longer needed.
This provides flexibility for both managing the ML infrastructure and optimizing resources in real-time.
For more details, refer to:
* UiPath AI Center Documentation: Managing ML Skills
* ML Skill Management Options: Managing Machine Learning Skills in AI Center

NEW QUESTION # 33
What is the correct order of uploading a package exported from UiPath AI Center?
Instructions: Drag the steps found on the "Left" and drop them on the "Right" in the correct order.

Answer:

Explanation:

Explanation:

* Export the package from AI Center. This is the first step where you prepare the package to be moved.
* On the ML Packages page, click the Import ML Package button. This step is where you start the process of importing the package you've exported.
* On the Upload package field, add the zip file downloaded using the Downloading ML Packages procedure. After starting the import process, you will upload the actual package.
* Click Create. This is the final step where you finalize the uploading process of your ML package.
Please proceed with these steps in the UiPath AI Center to upload your exported package correctly.

NEW QUESTION # 34
What are the mandatory activities to be included in an automation workflow to allow a remote knowledge worker to pick up an action that validates the extracted data in the form of a Document Validation Action?

A. Create Document Validation Action, Wait for Document Validation Action and Resume.
B. Present Validation Station, Wait for Document Validation Action and Resume.
C. Orchestration Process Activities.
D. Document Understanding Process Activities.

Answer: A

Explanation:
To enable a remote knowledge worker to validate the extracted data from documents in Action Center, the automation workflow needs to include the following activities12:
* Create Document Validation Action: This activity creates an action of type Document Validation in Orchestrator Action Center, and returns an action object as output. The action object contains the information needed to resume the workflow after the human validation is completed. The input properties of this activity include the action details, such as title, priority, catalog, and folder, and the document validation data, such as the document object model, the document text, the taxonomy, and the automatic extraction results.
* Wait for Document Validation Action and Resume: This activity suspends the execution of the workflow until the human validation is done in Action Center, and then resumes it with the updated extraction results. The input property of this activity is the action object obtained from the Create Document Validation Action activity. The output property is the validated extraction results, which can be used for further processing or exporting.
References: 1: Create Document Validation Action 2: Wait for Document Validation Action and Resume

NEW QUESTION # 35
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Mark Hall Mark Hall

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UiPath-SAIv1 Demo Test - Exam UiPath-SAIv1 Study Solutions

Exam UiPath-SAIv1 Study Solutions | Exam UiPath-SAIv1 Exercise

UiPath Certified Professional Specialized AI Professional v1.0 Sample Questions (Q30-Q35):

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