UiPath-ABAv1無料更新100%試験合格率保証 [2026]
[2026年03月] 認証されたUiPath試験問題集でUiPath-ABAv1試験学習ガイド
質問 # 60
What is the difference between attended robots and unattended robots?
- A. Attended robots are designed to manage multiple tasks simultaneously, whereas unattended robots can only handle one task at a time.
- B. Attended robots require a human operator to be present to start and supervise the tasks, while unattended robots can operate autonomously without human supervision.
- C. Unattended robots in UiPath are limited to structured processes but attended robots can only handle unstructured tasks.
- D. Attended robots can operate autonomously without human supervision, while unattended robots require a human operator to be present to start and supervise the tasks.
正解：B
解説：
UiPath clearly distinguishes these two types:
"Attended robots work under the direct supervision of a human, typically executing tasks that require frequent user interaction.
Unattended robots are capable of running automation processes independently, without human intervention." This distinction is fundamental to designing the correct automation architecture for a given use case.
References:
UiPath Attended vs Unattended Robots documentation
UiPath Academy modules on Robot types and their business use cases.
質問 # 61
Which of the following types of Assets are available in UiPath Orchestrator?
- A. Text, Number, Integer, Credential
- B. Text, Bool, Integer Number
- C. Text, Bool, Integer, Credential
- D. Text, Bool, Number, Credential
正解：D
解説：
In UiPath Orchestrator, assets can be defined as reusable resources that can be shared across multiple automation projects. The types of assets available in UiPath Orchestrator include Text, Bool, Number, and Credential. These asset types are designed to support a variety of data types and use cases in automation, such as storing credentials securely, keeping configuration values, or managing flags for process flows.References:UiPath Orchestrator Guide
質問 # 62
What is the order of steps in the Document Understanding processing flow for a generic document?
- A. Digitize, classify, data extraction, data export
- B. Digitize, data extraction, classify, data export
- C. Classify, data extraction, data export
- D. Classify, data export, data extraction
正解：A
解説：
The correct order of steps in the Document Understanding processing flow for a generic document is as follows:
1. Digitize: The first step involves digitizing the document to turn it into machine-readable content.
2. Classify: Next, the document is classified to determine the types of documents found within the digitized file.
3. Data Extraction: After classification, the relevant data is extracted from the document.
4. Data Export: Finally, the extracted data is exported for consumption1.
This sequence ensures that the document is first made readable for the system, then categorized, followed by data extraction, and concluding with the export of the data.
質問 # 63
In UiPath Studio ReFramework, what can be the output from the Process Transaction state?
- A. Success, Waiting for input, Business Exception
- B. Success, Business Exception. System Exception
- C. Success, Error
- D. Success, Fail. Paused
正解：B
解説：
In UiPath Studio's ReFramework, the outputs from the Process Transaction state can be Success, Business Exception, or System Exception. This classification helps in handling different outcomes of transaction processing effectively-Success for transactions completed without issues, Business Exception for errors related to the business logic, and System Exception for errors related to the system or application.
UiPath Documentation on ReFramework at https://docs.uipath.com/.
質問 # 64
What is the purpose of RPA Hypercare?
- A. To address and resolve any issues or bugs that arise after UiPath RPA deployment
- B. To tram employees & end-users on how to use UiPath software
- C. To develop any remaining issues that were not built in the development or testing phase
- D. To update and patch UiPath software during a maintenance period
正解：A
解説：
RPA Hypercare is a post-deployment phase designed to address and resolve any issues or bugs that arise after the deployment of UiPath RPA solutions. This phase ensures that any operational challenges encountered in the real-world application of the RPA bots are quickly identified and rectified, thus maintaining the efficiency and effectiveness of the automation solutions. Hypercare is crucial for stabilizing the RPA implementation and ensuring continuous operational performance()().
質問 # 65
Which of the following are structured documents that can be processed with Document Understanding?
- A. forms, passports, ID cards, contracts and emails
- B. forms, passports and ID cards
- C. passports, invoices, purchase orders, utility bills
- D. contracts, emails and health records
正解：C
解説：
Structured documents that can be processed with Document Understanding include passports, invoices, purchase orders, and utility bills. These documents have a fixed format or structure, which makes them suitable for processing through Document Understanding technologies that extract and digitize information based on predefined templates and rules.
UiPath Documentation on Document Understanding at https://docs.uipath.com/.
質問 # 66
Who is responsible for preparing the test data7?
- A. The process owner with the Business Analyst
- B. The process owner with the IT team or system owners
- C. The SME with the development team
- D. The SME with the Business Analyst
正解：D
解説：
In the context of RPA (Robotic Process Automation), preparing the test data is a collaborative effort that typically involves the Subject Matter Expert (SME) and the Business Analyst. The SME provides the domain knowledge and understanding of the process, while the Business Analyst has the technical know-how and understanding of the RPA tools and capabilities. Together, they ensure that the test data is representative of the actual data that the RPA solution will handle, which is crucial for effective testing and validation of the automated workflows1.
References: The role of the SME and Business Analyst in preparing test data is outlined in the UiPath Documentation Portal, specifically in the section "Data-Driven Testing" found at https://docs.uipath.com
/studio/standalone/2023.10/user-guide/data-driven-testing1.
質問 # 67
What are the main stages of an Assisted Task Mining project?
- A. Collect data, analyze with AI, visualize results, export results
- B. Record all applications, analyze with AI, identify processes, export processes with ROI
- C. Extract permissions, analyze with AI, manage projects, export machine model
- D. Collect data, analyze permissions, export actions, generate dashboard
正解：A
解説：
Understanding Assisted Task Mining (ATM):
Assisted Task Mining empowers the Business Analyst to collaborate with Subject Matter Experts (SMEs) and capture known tasks for automation. This involves collecting data from real-time actions, analyzing it with AI, visualizing the results, and exporting insights for process optimization.
Why Option A is Correct:
Collect Data: This involves capturing real-time actions such as clicks, keystrokes, and screens during task execution.
Analyze with AI: The collected data is processed using AI to identify patterns and variations within the task.
Visualize Results: Results are presented as task maps or workflows to understand processes holistically.
Export Results: The insights can be exported to create a Process Definition Document (PDD) or automation skeleton in UiPath Studio.
Why Other Options Are Incorrect:
Option B: Extracting permissions and managing projects are not core stages in ATM.
Option C: Recording all applications and ROI focus are more aligned with Unassisted Task Mining.
Option D: Exporting actions and generating dashboards are not typical ATM stages.
質問 # 68
In the PDD, what should a complete Out of Scope section contain?
- A. List of out of scope inputs & outputs
- B. List of out of scope process steps
- C. List of out of scope process steps and inputs
- D. List out of scope process steps, reason and impact on the to Be process
正解：D
解説：
The Out of Scope section of a PDD (Process Definition Document) should include detailed information on processes or sub-processes that are not included in the scope of the RPA (Robotic Process Automation) project. This should not only list the out-of-scope steps but also provide the reasons why they are not included and the impact this exclusion has on the to-be process. Understanding and documenting what is out of scope is crucial for setting clear boundaries and expectations for the project, ensuring that all stakeholders have a common understanding of what the automation will and will not cover.References:
https://docs.uipath.com/task-capture/standalone/2022.4/user-guide/details-about-the-pdd
質問 # 69
Which one of the Communications Mining chart pages shows charts of label volumes split by messages metadata category?
- A. Segments
- B. Label Summary
- C. Trends
- D. Threads
正解：A
解説：
Understanding Communications Mining Chart Pages:
The Segments page in UiPath Communications Mining visualizes data by splitting label volumes according to metadata categories such as sender, recipient, or message attributes. This aids in analyzing patterns across specific metadata.
Why Option D is Correct:
Segments are specifically designed to provide insights into how labels are distributed across metadata, enabling detailed analysis.
Why Other Options Are Incorrect:
Option A: Threads focus on conversations grouped together, not metadata categories.
Option B: Label Summary provides an overview of label distribution but does not split it by metadata.
Option C: Trends display temporal changes in label volumes, not metadata-based distributions.
質問 # 70
What are the environments that the UiPath Platform provides entitlements for deploying and licensing the product?
- A. Document Understanding. Test Suite, Al Center
- B. Automation Suite. Orchestrator
- C. Automation Cloud, Automation Suite, Individual Products
- D. Robots, Studio, Orchestrator
正解：C
解説：
The UiPath Platform provides entitlements for deploying and licensing products in various environments, notably the Automation Cloud, Automation Suite, and individual products like Robots, Studio, and Orchestrator. The Automation Cloud offers cloud-based services while the Automation Suite enables deployment in hybrid or on-premises environments. Individual products focus on specific components of the UiPath ecosystem that can be licensed separately.
UiPath documentation and learning materials from the UiPath Academy.
質問 # 71
What is the aim of the performance assessment in the post-production phase of an RPA implementation?
- A. Monitor the performance of the process and compare it to the baseline which was established at the beginning of the project
- B. To update the automation process with the latest features and enhancements released by UiPath
- C. To identify and tram employees who will be responsible for maintaining and managing the automation process
- D. To conduct user acceptance testing to ensure that the automation process meets the requirements of the business
正解：A
解説：
The aim of the performance assessment in the post-production phase of an RPA implementation is to monitor the performance of the automated process and compare it with the baseline metrics established at the beginning of the project. This assessment helps in understanding whether the automation is delivering the expected benefits, such as improved efficiency, reduced errors, and cost savings. It also provides insights into areas that may require optimization or further improvement1.
References: The purpose of performance assessment in RPA is outlined in resources such as the UiPath Community Forum, which discusses the importance of continuous improvement and performance monitoring in the lifecycle of RPA implementation1.
質問 # 72
What should be done when the process documentation is missing?
- A. Identify the right SMEs and decision makers in order to gather the necessary information
- B. Increase the time dedicated for process development
- C. Create a checklist to ensure the documentation is accurate and consistent
- D. Look at every possible impact that might be generated by accepting the change
正解：A
解説：
When the process documentation is missing, it is crucial to identify the right Subject Matter Experts (SMEs) and decision-makers in order to gather the necessary information. This approach ensures that accurate, comprehensive, and relevant data about the process are collected to create or update the missing documentation effectively.UiPath Documentation on Process Documentation at https://docs.uipath.com/.
質問 # 73
What does a Business Logic Translation Table do?
- A. List the business rules and use them as reference in the As-ls process description
- B. Process activities detailed at key stroke level with respective screen shots captured
- C. Capture every action performed by the SME on the application layer
- D. Capture short video recordings
正解：A
解説：
A Business Logic Translation Table lists the business rules and uses them as a reference in the As-Is process description. This table is essential for translating complex business rules into understandable and actionable items that can be incorporated into the automated process, ensuring that all business requirements are met accurately.
UiPath Documentation on Business Logic Translation at https://docs.uipath.com/.
質問 # 74
How can you improve the accuracy of information extracted using UiPath Document Understanding ML Extractor?
- A. By using machine learning model algorithms to improve extraction accuracy over time, provided that the ML model is retrainable
- B. By providing a visual interface for manually verifying extracted information
- C. By allowing users to create custom extraction rules
- D. By providing a central repository for storing and organizing documents
正解：A
解説：
To improve the accuracy of information extracted using UiPath Document Understanding ML Extractor, you can use machine learning model algorithms to improve extraction accuracy over time, provided that the ML model is retrainable. This approach allows the system to learn from corrections and variations, progressively enhancing its accuracy and reliability in data extraction.
Reference: UiPath Documentation on Document Understanding ML Extractor at https://docs.uipath.com/.
質問 # 75
How can you improve the accuracy of information extracted using UiPath Document Understanding ML Extractor?
- A. By using machine learning model algorithms to improve extraction accuracy over time, provided that the ML model is retrainable
- B. By providing a visual interface for manually verifying extracted information
- C. By allowing users to create custom extraction rules
- D. By providing a central repository for storing and organizing documents
正解：A
解説：
To improve the accuracy of information extracted using UiPath Document Understanding ML Extractor, you can use machine learning model algorithms to improve extraction accuracy over time, provided that the ML model is retrainable. This approach allows the system to learn from corrections and variations, progressively enhancing its accuracy and reliability in data extraction.
UiPath Documentation on Document Understanding ML Extractor at https://docs.uipath.com/.
質問 # 76
For text assets, is there any character limit for the Global Value Field?
- A. No. there is no such limit
- B. Yes, this field allows for up to 1000000 characters
- C. Yes, this field allows for up to 100000 characters
- D. Yes. this field allows for up to 4000 characters
正解：D
解説：
For text assets in UiPath, there is a character limit for the Global Value Field, which allows for up to 4000 characters. This limit is important for managing data sizes and ensuring performance and stability within the UiPath Orchestrator environment.
UiPath Documentation on Assets Management at https://docs.uipath.com/.
質問 # 77
What kind of document is a contract?
- A. Unstructured
- B. Semi-structured
- C. Hybrid-structured
- D. Structured
正解：B
解説：
A contract typically has consistent components (like parties involved, terms, and signatures) but the actual content varies, making it semi-structured.
UiPath Document Understanding defines semi-structured documents as:
"Documents that contain a mix of structured information (e.g., field labels) and unstructured text (e.g., clauses and paragraphs)." Contracts fit this description perfectly.
References:
UiPath Document Understanding documentation: Document Types
UiPath Academy: Document Understanding modules
質問 # 78
When starting a project with UiPath Process Mining, you can leverage already created applications to shorten the delivery time of a project. What are three out-of-the-box app templates available in UiPath Process Mining repository that you can deploy for a project?
- A. Incident Management for Service Now, TemplateOne-SingleFile for any source system, Mortgage Loans for Oracle Cloud
- B. Purchase-to-Pay for SAP, Order-to-Cash for Oracle JDE, Lead-to-Order for Salesforce
- C. Purchase-to-Pay for any source system, Warehouse Management for SAP, Mortgage Loans for Oracle Cloud
- D. Lead Management for Salesforce Pardot, Data Warehouse for SAP, Incident Management for ServiceNow
正解：B
解説：
UiPath Process Mining provides a variety of out-of-the-box app templates that can be used as a starting point for creating process applications. These templates are designed to work with specific source systems and can be customized to fit business needs. The templates include a set of dashboards and KPIs to enable business users to monitor and analyze the processes in detail. The correct options from the given choices are:
* Purchase-to-Pay for SAP: This app template is designed for the SAP source system and can be extracted using Theobald Xtract Universal1.
* Order-to-Cash for Oracle JDE: This template is suitable for the Oracle JDE source system and uses CData Sync for data extraction1.
* Lead-to-Order for Salesforce: This app template is tailored for the Salesforce source system and also relies on CData Sync for data extraction1.
These templates are part of the process-specific app templates for specific source systems available in the UiPath Process Mining repository.
質問 # 79
Which of the following are structured documents that can be processed with Document Understanding?
- A. Forms, passports, and ID cards.
- B. Forms, passports, ID cards, contracts, and emails.
- C. Contracts, emails, and health records.
- D. Passports, invoices, purchase orders, utility bills.
正解：D
解説：
Definition of Structured Documents:
Structured documents are those with a clear and consistent format, such as invoices, purchase orders, and utility bills, making them suitable for automated processing using Document Understanding.
Options Analysis:
Contracts and Emails (Option A): These are unstructured or semi-structured documents with variable layouts.
Forms, Passports, and ID Cards (Option B): While forms are structured, passports and ID cards are semi-structured, with less consistent formats.
Combination (Option C): Including contracts and emails makes this option incorrect since they do not qualify as structured documents.
Correct Option (D): Invoices, purchase orders, and utility bills have standardized layouts, making them ideal for processing.
Use in UiPath: Document Understanding extracts data from structured documents using OCR and predefined templates, ensuring accuracy in automation.
質問 # 80
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