WHY DO YOU NEED TO TRUST ON {UIPATH} UIPATH UIPATH-SAIAV1 EXAM QUESTIONS?

Why Do You Need to Trust on {UiPath} UiPath UiPath-SAIAv1 Exam Questions?

Why Do You Need to Trust on {UiPath} UiPath UiPath-SAIAv1 Exam Questions?

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UiPath Specialized AI Associate Exam (2023.10) Sample Questions (Q20-Q25):

NEW QUESTION # 20
Why is it important to gather and analyze data about the languages in scope?

  • A. This is a standard check but has no actual effect on the Document Understanding process.
  • B. Different Document Understanding components have support for different languages, so they have to be selected according to the requirements.
  • C. If an ML (Machine Learning) extractor is used, the model schema fields should be renamed according to the most frequently used language from the documents to be processed
  • D. The main reason is that all taxonomy fields should have their names translated into all the languages presented in the documents to be processed.

Answer: B

Explanation:
It is essential to analyze the languages involved in a project because different components of UiPath's Document Understanding framework have varying language support. For instance, some OCR engines and classifiers support specific languages, and this determines whether a particular language can be processed accurately. As the supported languages differ across components such as the Machine Learning Extractor, Form Extractor, and various OCR services, selecting the right components is crucial to meeting project requirements


NEW QUESTION # 21
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, ML Training, ML Evaluation, ML Skills, and ML Logs.
  • C. Dashboard. Datasets. ML Packages. ML Training. ML Evaluation, and ML Logs.
  • D. Datasets. Data Labeling. ML Packages. Pipelines, and ML Skills.

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 # 22
What are the three types of classifier trainers available in packages UiPath.lntelligentOCR.Activities and UiPath.DocumentUnderstanding.ML.Activities?

  • A. Machine Learning Classifier Trainer, Language Based Classifier, and Keyword Based Classifier Trainer.
  • B. Image Based Classifier Trainer, Format Based Classifier Trainer, and Machine Learning Classifier Trainer.
  • C. Intelligent Keyword Classifier Trainer, Language Based Classifier Trainer, and Image Based Classifier Trainer.
  • D. Keyword Based Classifier Trainer, Intelligent Keyword Classifier Trainer, and Machine Learning Classifier Trainer.

Answer: D

Explanation:
UiPath provides three types of classifier trainers to optimize document classification: Keyword Based Classifier Trainer, Intelligent Keyword Classifier Trainer, and Machine Learning Classifier Trainer. These trainers are used to teach the system how to categorize documents based on keywords, intelligent learning patterns, or machine learning techniques for more complex classifications.(Source: UiPath Classifier Trainer documentation


NEW QUESTION # 23
Which filter option should be used for the For Each File in Folder activity to iterate between all the Microsoft Word documents in a local folder?

  • A. *.doc*
  • B. *.doc, *docx
  • C. *.doc
  • D. Microsoft Word

Answer: A

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
The correct syntax for filtering both .doc and .docx Word documents is to use the wildcard *.doc*. This matches:
* .doc
* .docx
* Any Word file variant starting with .doc
* UiPath Studio uses .NET wildcardsfor file filters in activities like "For Each File in Folder".
* UiPath Documentation Reference:For Each File in Folder - UiPath Docs


NEW QUESTION # 24
What is the role of connections in the UiPath Integration Service?

  • A. Connections establish tasks and exchanges between users and external applications using the authentication process of the III automation provider.
  • B. Connections establish tasks and exchanges between users and external applications using the authentication process of the API provider.
  • C. Connections establish tasks and exchanges between users and external applications using the server- side triggers.
  • D. Connections establish tasks and exchanges based on a connector's compatibility with the external application.

Answer: B

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
In UiPathIntegration Service, aconnectionis the secure authentication configuration between UiPath and an external application (like Salesforce, ServiceNow, etc.). These connections rely onAPI authentication mechanismssuch as OAuth 2.0 or API Keys depending on the connector.
* They are used to enable data exchange between RPA processes and external systems.
* UiPath Documentation Reference:Integration Service - Connections


NEW QUESTION # 25
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