Free UiPath-ASAPv1 Exam Braindumps (page: 6)

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What is a layer that is redundant for a Solution Architect to take into account when designing the Reusable Components for a project?

  1. Logic layer
  2. Persistence layer (saving data)
  3. Process steps that are not part of the User Interlace interaction layer or the Logic layer or the Persistence layer
  4. User interface interaction layer (interact with applications)

Answer(s): C

Explanation:

A reusable component is a workflow that can be compiled and packaged as an activity and reused in multiple processes. A reusable component should be designed with a clear purpose, input and output parameters, and error handling. A reusable component should also follow the best practices of modularity, reusability, maintainability, and scalability. A reusable component can be categorized into three layers: User Interface interaction layer, Logic layer, and Persistence layer. The User Interface interaction layer is responsible for interacting with applications, such as clicking, typing, or scraping data. The Logic layer is responsible for implementing the business logic, such as calculations, validations, or decision making. The Persistence layer is responsible for saving or retrieving data, such as using databases, files, or queues. These three layers are essential for designing reusable components, as they represent the common functionalities that can be shared across different processes. However, process steps that are not part of these three layers are redundant for a Solution Architect to take into account when designing the reusable components for a project. Process steps that are not part of these three layers are specific to a particular process or scenario, and they may not be applicable or compatible with other processes. For example, a process step that involves sending an email notification to a specific recipient or group may not be relevant or suitable for another process that uses the same reusable component. Therefore, such process steps should be avoided or separated from the reusable components, and instead be implemented in the main workflow of the process that requires them.


Reference:

18.3 - Library (Reusable components) - UiPath Community Forum How to make useful Libraries (Reusable components) - UiPath Community Forum Reusable Components - UiPath Documentation Portal



How does scalability impact the design of a UiPath automaton flowchart and what strategies can ensure it handles increased process volume?

  1. Scalability primarily focuses on reducing the number of steps in the flowchart to make it more efficient for smaller-scale processes
  2. To achieve salacity flowchart design should be rigid and not allow for changes or adaptations to the process response lo evolving business needs.
  3. Scalability is crucial in high-level flowchart design to handle larger volumes efficiently involving design adjustments and resource optimization if needed
  4. Scalability is irrelevant in high-level flowchart design, as it is solely a concern for the deployment phase

Answer(s): C

Explanation:

Scalability is the ability of a system or a process to handle growing amounts of work or demand in a graceful manner. Scalability impacts the design of a UiPath automation flowchart because it determines how well the automation can cope with increased process volume, complexity, or variability. A scalable flowchart design should consider the following strategies:
Modularization: Breaking down the process into smaller, reusable, and maintainable components that can be easily modified or replaced if needed. Modularization also facilitates testing, debugging, and error handling.
Parameterization: Using variables, arguments, configuration files, assets, or queues to store and pass data that can change depending on the process execution. Parameterization allows for flexibility and adaptability of the automation to different scenarios or environments. Optimization: Reducing unnecessary or redundant steps, activities, or data in the flowchart to improve the performance, efficiency, and reliability of the automation. Optimization also involves choosing the best methods or techniques to achieve the desired outcome, such as using selectors, data scraping, or computer vision.
Orchestration: Managing the resources, schedules, triggers, and dependencies of the automation to ensure that it runs smoothly and effectively. Orchestration also involves monitoring, logging, and reporting the status and results of the automation, as well as handling exceptions and alerts.


Reference:

Enhancing UiPath Solutions' Design Scalability, Roles of a Solution Architect in Automation, RPA Setting, Studio - Flowcharts.



Which feature of UiPath Apps allows a user to create forms and components for user interfaces in applications?

  1. UiPath Studio
  2. UiPath Orchestrator
  3. Data Service
  4. App Builder

Answer(s): D

Explanation:

According to the UiPath documentation1, App Builder is a feature of UiPath Apps that allows a user to create forms and components for user interfaces in applications. App Builder is a low-code app development tool that enables users to design and publish custom apps using drag-and-drop controls, data bindings, conditional logic, and automation workflows. App Builder also provides a preview mode to test the app functionality and appearance before publishing. Users can create apps for various form factors and devices, such as desktop, mobile, web, or sidebar. App Builder also integrates with UiPath Studio, UiPath Orchestrator, and Data Service to leverage the power of automation and data management in the apps.


Reference:

1: App Builder - UiPath Documentation Portal



What is the man difference between the deployment models for UiPath products?

  1. How the product is managed from an IT infrastructure point of view.
  2. The level of infrastructure integration between UiPath products.
  3. The types of processes that can be automated using the products.
  4. How each product I s licensed and billed

Answer(s): A

Explanation:

The deployment models for UiPath products refer to the different ways of installing, configuring, and running the UiPath components on various IT environments. The main difference between the deployment models is how the product is managed from an IT infrastructure point of view, such as the hardware, software, network, and security requirements, the scalability and availability options, the backup and recovery strategies, and the maintenance and support procedures. UiPath offers several deployment models to suit different customer needs and preferences, such as:
Standalone deployment: This is the simplest and most common deployment model, where each UiPath component is installed on a single machine or server, and communicates directly with other components without any intermediaries. This model is suitable for small-scale automation scenarios, where the number of robots, processes, and users is low, and the IT infrastructure is simple and stable. However, this model has some limitations in terms of performance, reliability, security, and flexibility, as it depends on the availability and capacity of the single machine or server hosting the component.
High-availability deployment: This is a more advanced and robust deployment model, where each UiPath component is installed on multiple machines or servers, and communicates with other components through a load balancer or a cluster manager. This model is suitable for large-scale automation scenarios, where the number of robots, processes, and users is high, and the IT infrastructure is complex and dynamic. This model offers several benefits in terms of performance, reliability, security, and flexibility, as it allows for load balancing, failover, scaling, and redundancy of the components.
Cloud deployment: This is a modern and flexible deployment model, where some or all of the UiPath components are hosted on a cloud platform, such as Microsoft Azure, Amazon Web Services, or Google Cloud Platform, and communicate with other components through the internet. This model is suitable for hybrid or distributed automation scenarios, where the number of robots, processes, and users is variable, and the IT infrastructure is elastic and scalable. This model offers several advantages in terms of cost, convenience, accessibility, and innovation, as it reduces the need for hardware, software, network, and security maintenance, and enables faster and easier deployment,

configuration, and updates of the components.


Reference:

About Deployment - Standalone, Automation Suite - Deployment architecture, UiPath Cloud Platform






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