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UiPath Certified Professional Specialized AI Professional v1.0 Sample Questions (Q139-Q144):

NEW QUESTION # 139
How do you choose the appropriate document processing methodology?

A. Based on the document type and length.
B. Based on the text language and the number of pages.
C. Based on the number of fields to be extracted.
D. Based on the document structure and data points to be extracted.

Answer: D

NEW QUESTION # 140
Which Reports tab do we use to get a high-level overview and statistics on all labels in UiPath Communications Mining?

A. Segments.
B. Dashboards.
C. Label Summary.
D. Trends.

Answer: C

Explanation:
In UiPath Communications Mining, the Label Summary report tab provides a high-level overview and statistics on all labels. This summary gives insights into the performance and distribution of labels across the dataset, helping users understand how well the model is classifying different types of communications.
For more details, refer to:
* UiPath Communications Mining Documentation: Label Summary Reports

NEW QUESTION # 141
Which of the following options contains the correct list of Default actions that can be found in Workflow Analyzer Settings?

A. Error, Critical, Info, Warning, Verbose
B. Fatal, Error, Warning, Info, Trace
C. Error, Info, Warning, Verbose
D. Exception, Info, Warning, Verbose

Answer: B

NEW QUESTION # 142
How can the code be tested in a development or testing environment in the context of the Document Understanding Process?

A. Use them as a template to create other tests.
B. Based on the use case developed, create test data to test existing tests.
C. Based on the use case developed, create test data to test existing and new tests.
D. Simply run the existing tests

Answer: C

NEW QUESTION # 143
Which is a high-level view of the tabs within an AI Center project?

A. Dashboard. Datasets, Data Labeling. ML Packages. Pipelines, ML Skills, and ML Logs.
B. Datasets. Data Labeling. ML Packages. Pipelines, and ML Skills.
C. Dashboard. Datasets. ML Packages. ML Training. ML Evaluation, and ML Logs.
D. Datasets, Data Labeling. ML Packages, ML Training, ML Evaluation, ML Skills, and ML Logs.

Answer: A

Explanation:
A high-level view of the tabs within an AI Center project is as follows:
* Dashboard: This tab provides an overview of the project's status, such as the number of datasets, pipelines, packages, skills, and logs, as well as the AI Units consumption and quota.
* Datasets: This tab enables you to upload, view, and manage the datasets that are used for training and evaluating the ML models within the project. A dataset is a folder of storage containing arbitrary files and sub-folders1.
* Data Labeling: This tab enables you to upload raw data, annotate text data in the labeling tool (for classification or entity recognition), and use the labeled data to train ML models. It is also used by the human reviewer to re-label incorrect predictions as part of the feedback process2.
* ML Packages: This tab enables you to upload, view, and manage the ML packages and package versions within the project. An ML package is a group of package versions of the same package type, and a package version is a trained model that can be deployed to a skill3.
* Pipelines: This tab enables you to create, view, and manage the pipelines and pipeline runs within the project. A pipeline is a description of an ML workflow, including the functions and their order of execution, and a pipeline run is an execution of a pipeline based on code provided by the user4.
* ML Skills: This tab enables you to deploy, view, and manage the ML skills within the project. An ML skill is a live deployment of a package version, which can be consumed by an RPA workflow using an ML skill activity in UiPath Studio5.
* ML Logs: This tab enables you to view and filter the logs related to the project, such as the events, messages, and errors that occurred during the pipeline runs, skill deployments, and skill executions6.
References:
1: About Datasets 2: About Data Labeling 3: About ML Packages 4: About Pipelines 5: About ML Skills 6: About ML Logs

NEW QUESTION # 144
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