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UiPath Certified Professional Specialized AI Professional v1.0 Sample Questions (Q205-Q210):

NEW QUESTION # 205
Which of these statements is true about precision and recall statistics for specific labels in UiPath Communications Mining precision?

A. The label precision and recall statistics are determined by the mean average precision (MAP).
B. The label precision and recall statistics are determined by the model's coverage.
C. The label precision and recall statistics are determined by the confidence threshold.
D. The label precision and recall statistics are determined by the model's rating.

Answer: C

Explanation:
In UiPath Communications Mining, the precision and recall statistics for specific labels are primarily determined by the confidence threshold set for the model. This threshold represents the level of certainty the model needs before it assigns a label to a message. By adjusting this threshold, you can trade off between precision (fewer false positives) and recall (fewer false negatives). For instance, a higher threshold will increase precision but may reduce recall, and vice versa

NEW QUESTION # 206
What is the purpose of the "Explore" phase in UiPath Communications Mining?

A. To review the clusters of similar communications from a data set that unsupervised learning automatically found.
B. To use the bulk label functionality, a helpful tool to quickly train the model when searching for specific terms.
C. To provide each label/entity in a taxonomy with enough training examples so the model can make accurate predictions at scale.
D. To fully review and correctly tag the model version, regardless if it's "Live" or "Staging".

Answer: C

NEW QUESTION # 207
Which are all the options for managing ML Skills?

A. 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.
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, 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.

Answer: A

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 # 208
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 handle logging and exception mechanisms.
D. To process multiple files simultaneously in bulk.

Answer: A

Explanation:
In the Document Understanding framework, the dispatcher is responsible for ensuring that one job is created for each input file. It works by submitting files to be processed individually, ensuring that each document or group of documents is handled as a separate transaction. This allows for more efficient processing and better tracking of each file, especially in high-volume workflows where managing each file as a separate job is critical for performance and error handling.
(Source: UiPath Documentation on Document Understanding)

NEW QUESTION # 209
How can a Pipeline be scheduled?

A. A Pipeline can be scheduled at a single future date or with a recurring schedule.
B. A Pipeline can be scheduled at a single future date.
C. A Pipeline can be scheduled with a recurring schedule.
D. A Pipeline can be scheduled at multiple future dates or with a recurring schedule.

Answer: A

Explanation:
In UiPath's AI Center, a Pipeline can be scheduled for execution either at a specific future date or with a recurring schedule. This allows for flexibility in automating the retraining or execution of machine learning models based on predefined time intervals or specific dates. For example, you can schedule a pipeline to run once on a given date or set it to run daily, weekly, or monthly, depending on the project's needs.
For more information, refer to:
* UiPath AI Center Documentation: Pipeline Scheduling
* Automation Pipelines in AI Center: Pipeline Execution and Scheduling

NEW QUESTION # 210
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