[2024年12月20日]UiPath-ABAv1認定ガイド問題と解答トレーニング
UiPath-ABAv1認定お試しセット最新UiPath-ABAv1のPDF問題集
UiPath UiPath-ABAv1 認定試験の出題範囲:
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質問 # 29
Can an attended user run multiple processes in parallel in Assistant?
- A. No, only one process can run in Assistant at a time
- B. Yes. multiple foreground and background processes
- C. Yes. but only multiple background processes
- D. Yes. but only one foreground process and multiple background processes
正解:D
解説:
In UiPath Assistant, an attended user can run multiple processes in parallel, but only one foreground process and multiple background processes at the same time. This setup allows users to interact with a single process actively while other processes operate in the background, optimizing productivity without compromising user experience.References: UiPath Documentation on UiPath Assistant athttps://docs.uipath.com/.
質問 # 30
UiPath Process Mining provides TemplateOne application that offers different generic dashboards containing information, KPIs, and analysis functionality focused on a specific process area What are the 3 standard KPIs part of the Automation Dashboard within the TemplateOne application?
- A. Automation Rate, Total Manual Processing time. Total Manual event cost
- B. Automation Rate, Total Manual event cost. Intercompany case value
- C. Automation Rate, Material Group Count. Avg. throughput time
- D. Automation Rate, Total Manual Processing time Supplier Avg. Time
正解:A
解説:
In the TemplateOne application provided by UiPath Process Mining, the Automation Dashboard includes the following three standard KPIs: Automation Rate, Total Manual Processing Time, and Total Manual Event Cost. These KPIs help in assessing the efficiency and cost-effectiveness of manual vs automated processes within an organization.References: UiPath Documentation on Process Mining and TemplateOne athttps://docs.uipath.com/.
質問 # 31
What event can affect selector reliability in automations?
- A. Target applications changing their position on the screen
- B. An increase in the volume of transactions
- C. An update to the UiPath Robot running the automation
- D. Automation target applications being updated
正解:D
解説:
An event that can affect selector reliability in automations is the target applications being updated. Updates to applications can alter the UI elements and structures that selectors depend on, leading to failures in identifying these elements during automation execution.References: UiPath Documentation on Selector Reliability athttps://docs.uipath.com/.
質問 # 32
What is the difference between training an ML model using a CPU versus using a GPU in UiPath Cloud Platform?
- A. Training a model using a GPU is around five times faster than using a CPU
- B. You can train multiple models on the same GPU at the same time
- C. Training a model using a GPU is around five times slower than using a CPU
- D. Training a model using a GPU provides more accurate results
正解:A
解説:
In the context of UiPath Cloud Platform, training a machine learning (ML) model using a GPU (Graphics Processing Unit) is significantly faster than using a CPU (Central Processing Unit). This is because GPUs are designed to handle parallel processing, which is highly beneficial for the matrix and vector computations required in ML model training. GPUs can perform more calculations simultaneously compared to CPUs, leading to faster training times, especially with large and complex datasets1.
The UiPath documentation specifically recommends using GPU training for large and production datasets, as CPU training is much slower and should be used sparingly, for small datasets for demo or testing purposes1.
This aligns with the general understanding that for deep learning training, GPUs should be used due to their significant speed advantage over CPUs23.
References: The information is verified as per the UiPath Documentation Portal and other reliable sources that discuss the advantages of using GPUs over CPUs for ML model training123.
質問 # 33
For text assets, is there any character limit for the Global Value Field?
- A. Yes. this field allows for up to 4000 characters
- B. Yes, this field allows for up to 100000 characters
- C. Yes, this field allows for up to 1000000 characters
- D. No. there is no such limit
正解:A
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.References: UiPath Documentation on Assets Management at
https://docs.uipath.com/.
質問 # 34
What is same-screen detection for actions recorded in an UiPath Task Capture diagram?
- A. Prior to starting the capture process, Task Capture analyzes the applications used and groups them by similarity of appearance, so that during the recording the screenshots will be automatically grouped
- B. During the capture process Task Capture automatically detects actions that contain similar screenshots and also merges them
- C. After finishing the capture process. Task Capture offers to detect actions per all documents that contain similar screenshots and also offers to merge them. The merge is automatic, thus making the process fast and efficient
- D. After finishing the capture process. Task Capture offers to detect actions per all documents that contain similar screenshots and also offers to merge them. The actions can also be manually reviewed prior to merging
正解:D
解説:
In an UiPath Task Capture diagram, same-screen detection for actions recorded is described by the feature where after finishing the capture process, Task Capture offers to detect actions per all documents that contain similar screenshots and also offers to merge them. The actions can also be manually reviewed prior to merging. This feature ensures that similar actions are grouped, enhancing the clarity and efficiency of the process documentation.References: UiPath Documentation on Task Capture athttps://docs.uipath.com/.
質問 # 35
How can you improve the accuracy of information extracted using UiPath Document Understanding ML Extractor?
- A. By providing a central repository for storing and organizing documents
- B. By providing a visual interface for manually verifying extracted information
- C. By using machine learning model algorithms to improve extraction accuracy over time, provided that the ML model is retrainable
- D. By allowing users to create custom extraction rules
正解:C
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.References: UiPath Documentation on Document Understanding ML Extractor athttps://docs.uipath.com/.
質問 # 36
Which of the following is the correct order of steps in the process of creating a new process app in UiPath Process Mining?
- A. Create new app > Selecting the app template > Defining the app properties > Selecting the data source > Review details > Create App
- B. Create new app Selecting the data source > Selecting the app template > Defining the app properties > Review details > Create App
- C. Create new app > Selecting the app template > Defining the app properties > Review details > Selecting the data source > Create App
- D. Create new app > Defining the app properties > Selecting the data source > Selecting the app template
>Review details > Create App
正解:A
解説:
The correct order of steps in the process of creating a new process app in UiPath Process Mining is as follows:
Create new app > Selecting the app template > Defining the app properties > Selecting the data source > Review details > Create App. This sequence ensures that the foundational elements of the app are established before specifying the data source, which helps in aligning the data with the defined properties and template.References: UiPath Documentation on Process Mining athttps://docs.uipath.com/.
質問 # 37
What is the recommended way to extract data from an Invoice?
- A. Using the ML Extractor with the Invoices out-of-the-box ML model
- B. Using the RegEx extractor
- C. Using FormsAI
- D. Using the Form Extractor
正解:A
解説:
The recommended way to extract data from an Invoice is using the ML Extractor with the Invoices out-of-the-box ML model. This approach utilizes machine learning to automatically identify and extract relevant data fields from invoices, which are typically structured but vary in format, enhancing accuracy and efficiency in data extraction.References: UiPath Documentation on Document Understanding athttps://docs.uipath.com/.
質問 # 38
What are the 2 ways to document processes in UiPath Task Capture?
- A. a. Import diagram from Task Mining
- B. Use the Task Capture recorder to record the step-by-step actions in the process
- C. Use the UiPath Studio recorder to record the step-by-step actions in the process
- D. Use the UiPath Studio recorder to record the step-by-step actions in the process
- E. a. Import diagram from Process Mining
- F. a. Build diagram from scratch
- G. a. Build diagram from scratch
- H. Use the Task Capture recorder to record the step-by-step actions in the process
正解:C
解説:
UiPath Task Capture provides two primary methods for documenting processes:
1.Build diagram from scratch: This method allows you to manually create a workflow diagram that outlines all the necessary actions in the process.
2.Use the Task Capture recorder to record the step-by-step actions in the process: With this method, you run through the process while Task Capture automatically captures your actions, takes screenshots with each mouse click, and builds a workflow diagram based on the collected data1.
These methods enable the creation of detailed process documentation that can be used for further analysis and automation development.
References: The explanation is based on the UiPath Documentation Portal's guide on documenting the process using Task Capture1.
質問 # 39
Which of the following principles applies during the Process Documentation stage?
- A. Sign-Off is not mandatory if the feedback was implemented after review.
- B. Including more scenarios and business rules should be done after the first review
- C. High-level process map should be created only after the To-Be process map is done
- D. A minimum of one review is required
正解:D
解説:
During the Process Documentation stage, it is a best practice and often a requirement to have at least one review of the documentation created, such as the Process Design Document (PDD). This ensures that all stakeholders agree on the process as documented and that it accurately represents the business needs and technical requirements.References: UiPath Documentation on Process Documentation at
https://docs.uipath.com/.
質問 # 40
When deciding the priority of processes from a pipeline, what is the order in which the development should be done'?
Instructions: Drag and Drop the items on the left to the boxes on the right in a correct order
正解:
解説:
Explanation:
The correct order for prioritizing processes from a pipeline for development is:
* Quick Wins
* Must-Do Improvements
* Low-Hanging Fruit
* Long-Term Improvements
This prioritization strategy is designed to balance immediate impact with strategic development. Quick Wins are prioritized first because they typically require minimal effort and provide immediate benefits. Must-Do Improvements follow, as these are necessary changes that may require more effort but are essential for the processLow-Hanging Fruit are tasks that are relatively easy to implement and provide value, while Long-Term Improvements are placed last as they often involve significant changes that yield benefits over a longer period123.
References: The prioritization logic is based on common project management practices and is supported by discussions in the UiPath Community Forum, where similar strategies are recommended for process development and automation123.
質問 # 41
Which of the following is the most effective way for a Business Analyst to document business exception handling for an RPA process?
- A. By recording a video that will demonstrate how to handle each type of business exception
- B. By writing a detailed description of each business exception and the corresponding action that should be taken
- C. By copying the log files of each robot run
- D. By creating a flowchart that outlines the steps involved in handling each type of application exception
正解:B
解説:
Documenting business exception handling in an RPA process effectively involves writing detailed descriptions of each business exception along with the corresponding actions that should be taken. This approach ensures clarity and provides a comprehensive guide for handling exceptions, making it possible for the automation to be managed and adjusted as needed without relying on transient data like log files or less detailed formats like videos
質問 # 42
Who is responsible for preparing the test data7?
- A. The process owner with the IT team or system owners
- B. The SME with the Business Analyst
- C. The process owner with the Business Analyst
- D. The SME with the development team
正解:B
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 # 43
What is the primary goal of task analysis in the context of evaluating automation potential?
- A. To visualize and analyze the steps involved in a task
- B. To measure the time spent on a specific task or process
- C. To identify potential bottlenecks or areas for improvement
- D. To determine the level of expertise required to perform the task
正解:C
解説:
The primary goal of task analysis in the context of evaluating automation potential is to visualize and analyze the steps involved in a task. This involves breaking down the task into its component parts to understand the sequence and interaction of steps, which helps in identifying automation opportunities and designing effective automation workflows.References: UiPath Documentation on Task Analysis athttps://docs.uipath.com/.
質問 # 44
What is the correct order of the stages of Process Documentation?
Instructions: Drag and Drop the items on the left to the boxes on the right in a correct order.
正解:
解説:

質問 # 45
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