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Top New UiPath-SAIAv1 Test Vce Free | High Pass-Rate UiPath-SAIAv1: UiPath Specialized AI Associate Exam (2023.10) 100% Pass

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UiPath UiPath-SAIAv1 Exam Syllabus Topics:

Topic
Details

Topic 1

UiPath Studio - Document Understanding Activities: This section of the exam measures skills of RPA developers and covers configuring document classification and extraction workflows using Studio activities, taxonomy management, digitization, and validation tools. It also includes the use of trained ML models and prebuilt extractors.

Topic 2

UiPath Document Understanding: This section of the exam measures skills of RPA developers and covers the concepts and capabilities of UiPath Document Understanding, including processing various document types, understanding rule-based and ML-based extraction, and distinguishing DU from traditional OCR.

Topic 3

UiPath Communications Mining - Model Training: This section of the exam measures skills of automation analysts and covers model training concepts in Communications Mining, explaining what defines a strong model and outlining the stages and components involved in developing one.

Topic 4

Debugging: This section of the exam measures skills of automation analysts and covers debugging within Document Understanding workflows. It explores the template’s architecture, exception handling, validation steps, and post-processing techniques that ensure accuracy and fault tolerance.

Topic 5

Variables and Arguments: This section of the exam measures skills of automation analysts and covers the creation and management of variables and arguments. It introduces key data types and explains how to apply variables and arguments across workflows to pass, store, and manipulate data.

Topic 6

Studio Interface: This section of the exam measures skills of RPA developers and covers essential navigation and setup within UiPath Studio. It includes installing Studio, connecting to Orchestrator, navigating the interface, managing packages, configuring activity settings, and publishing processes to Orchestrator.

Topic 7

Implementation Methodology: This section of the exam measures skills of automation analysts and covers project lifecycle knowledge, understanding key stages of implementation, and interpreting Process Design Documents (PDDs) and Solution Design Documents (SDDs).

Topic 8

Platform Knowledge: This section of the exam measures skills of RPA developers and covers the high-level purpose and use of UiPath platform components, including Studio, Robots, Orchestrator, and Integration Service. It also explains the difference between attended and unattended processes, providing foundational knowledge of process deployment environments.

Topic 9

Data Manipulation: This section of the exam measures skills of RPA developers and covers data handling with VB.Net string functions, RegEx patterns, arrays, lists, and dictionaries. It also covers DataTable operations such as building, filtering, and converting data for automation.

Topic 10

Integration Service: This section of the exam measures skills of automation analysts and covers the use of UiPath Integration Service, its connectors, and triggers, showing how these elements enable smooth interaction between UiPath and third-party systems.

Topic 11

UiPath Communications Mining - Taxonomy Design: This section of the exam measures skills of RPA developers and covers how to design a taxonomy for Communications Mining, enabling models to interpret and structure data effectively during classification and automation processes.

Topic 12

Version Control Integration: This section of the exam measures skills of automation analysts and covers the use of Git integration in UiPath Studio for source control, including committing changes, cloning repositories, and pushing updates in collaborative environments.

Topic 13

UiPath Document Understanding Framework: This section of the exam measures skills of automation analysts and covers how to apply the Document Understanding Framework, use templates, and develop proof-of-concept components. It focuses on building workflows for document processing.

Topic 14

UiPath AI Center: This section of the exam measures skills of automation analysts and covers the basics of UiPath AI Center, its role in applying machine learning to automation, and the industries where AI models can be applied effectively.

Topic 15

UiPath Communications Mining: This section of the exam measures skills of RPA developers and covers the application of Communications Mining in automation and analytics. It distinguishes this capability from Task Mining and Process Mining, explains the interface, and describes use cases.

Topic 16

Working with Files and Folders: This section of the exam measures skills of automation analysts and covers creating and managing files and folders within local directories, including iteration and file manipulation using Studio activities.

Topic 17

Environments, Applications, and
or Tools: This section of the exam measures skills of RPA developers and covers the candidate’s comfort level with common development tools, platforms, and environments such as Excel, Outlook, browsers, version control, Studio, Document Understanding Template, AI Center, and Communication Mining.

Topic 18

Logging: This section of the exam measures skills of automation analysts and covers interpretation of robot execution logs and the application of logging best practices to support auditability, diagnostics, and monitoring.

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UiPath Specialized AI Associate Exam (2023.10) Sample Questions (Q87-Q92):

NEW QUESTION # 87
Which feature should be used to inspect the available versions for activities employed within a workflow?

A. Manage Packages
B. Outline Panel
C. Variables Panel
D. Activities Panel

Answer: A

Explanation:
Reference: UiPath Manage Packages

NEW QUESTION # 88
What are all the ways to deploy Al Center?

A. In cloud availability, on-premises air-gapped, on-premises online, and hybrid mode {cloud Al Center + Orchestrator on-premise).
B. In cloud availability, on-premises, hybrid mode (Al Center on-premise + cloud Orchestrator), and Automation Suite.
C. In cloud availability, on-premises air-gapped, on-premises online, hybrid mode (cloud Al Center + Orchestrator on-premise). and Automation Suite.
D. In cloud availability, on-premises air-gapped, on-premises online, hybrid mode (Al Center on-premise
+ Orchestrator on-premise). and Automation Suite.

Answer: D

Explanation:
UiPath AI Center can be deployed in multiple ways to meet different organizational needs and infrastructures.
The available deployment options include:
Cloud availability: Using UiPath's cloud services.
On-premises air-gapped: A fully isolated, offline environment for organizations with strict security requirements.
On-premises online: Deployed on-premise but with internet connectivity.
Hybrid mode: Combining on-premises AI Center with on-premises Orchestrator for flexibility.
Automation Suite: A comprehensive deployment of UiPath tools, including AI Center.
For more details, refer to:
UiPath AI Center Deployment Models: Deployment Options

NEW QUESTION # 89
What is the name of the web application that allows users to prepare, review, and make corrections to datasets required for Machine Learning models?

A. Digitization.
B. Data Manager.
C. Document Manager.
D. ML Extractor.

Answer: B

Explanation:
Data Manager is a web application that allows users to prepare, review, and make corrections to datasets required for Machine Learning models. Data Manager enables users to create and manage datasets, label data, validate and export data, and monitor data quality and progress. Data Manager supports various types of data, such as documents, images, text, and tables. Data Manager is integrated with AI Center, where users can train and deploy Machine Learning models using the datasets created or modified in Data Manager12.
References: 1: Data Manager Overview 2: AI Center - About Datasets

NEW QUESTION # 90
Which of the below is the correct definition of "recall" in UiPath Communications Mining?

A. For a given concept, what % of cases will the model not detect.
B. For a given concept what % of cases will the model correctly predict.
C. For a given concept, what % of cases will the model detect.
D. For a given concept what % of cases will the model incorrectly predict.

Answer: C

Explanation:
Recall is a metric that measures the proportion of all possible true positives that the model was able to identify for a given concept1. A true positive is a case where the model correctly predicts the presence of a concept in the data. Recall is calculated as the ratio of true positives to the sum of true positives and false negatives, where a false negative is a case where the model fails to predict the presence of a concept in the data. Recall can be interpreted as the sensitivity or completeness of the model for a given concept2. For example, if there are 100 verbatims that should have been labelled as 'Request for information', and the model detects 80 of them, then the recall for this concept is 80% (80 / (80 + 20)). A high recall means that the model is good at finding all the relevant cases for a concept, while a low recall means that the model misses many of them.
References: 1: Recall 2: Precision and Recall

NEW QUESTION # 91
Which of the following OCR (Optical Character Recognition) engines is not free of charge?

A. Microsoft OCR.
B. Microsoft Azure OCR.
C. OmniPaqe.
D. Tesseract.

Answer: C

Explanation:
According to the UiPath documentation, OmniPaqe is a paid OCR engine that requires a license to use. It is one of the most accurate and reliable OCR engines available, and it supports over 200languages. The other OCR engines listed are free of charge, but they may have different features, limitations, and performance levels. For example, Tesseract is an open-source OCR engine that supports over 100 languages, but it may not be as accurate as OmniPaqe. Microsoft Azure OCR and Microsoft OCR are both cloud-based OCR engines that use Microsoft's technology, but they have different capabilities and pricing models. Microsoft Azure OCR can process both printed and handwritten text, and it uses a pay-as-you-go model based on the number of transactions. Microsoft OCR can only process printed text, and it is included in the UiPath Studio license.
References:
Document Understanding - OCR Engines
Automation Pricing - Complete UiPath Enterprise Solution

NEW QUESTION # 92
......

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Karl Black Karl Black

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