UiPath UIPATH-ASAPV1 Online Practice Questions and Exam Preparation

UiPath UIPATH-ASAPV1 Online Questions & Answers

• Question 101:

  Considering the following scenario:

  We have a customer who has a on-premises installation of the Orchestration and wants to start a new project with Documents Understanding and ML. the project must be deployed into production in 6 weeks, but AI Center and Document Understanding are not available (not installed). Considering the following

  -

  any cloud solution must undergo an approval process that takes roughly 4 weeks for any production usage and 2 weeks for development lasting

  -

  getting the hardware resources for an on-premise installation will take roughly 5 weeks and the costs are barely fitting the customer budget.

  -

  the Orchestrator installation must remain unchanged

  Which deployment option minimizes the risks for the process to reach production in time?

  A. Cloud Mode (Orchestrator, Al Center/Document Understanding in cloud)
  B. On-premise Mode (Orchestrator on-premise Al Center/Document Understanding Automation Suite installation)
  C. On-premise Mode (Orchestrator on-premise Al Center Document Understating stand-alone installation)
  D. Hybrid Mode (Orchestrate on premise Al Center Document Understanding in cloud)
  D. Hybrid Mode (Orchestrate on premise Al Center Document Understanding in cloud)

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  Explanation

  According to the UiPath documentation, a hybrid mode deployment allows you to use the existing on-premise Orchestrator installation and connect it to the cloud-based AI Center and Document Understanding services. This way, you can

  leverage the benefits of cloud computing, such as scalability, flexibility, and lower costs, without compromising the security and stability of your Orchestrator. Moreover, a hybrid mode deployment can be faster and easier than a full cloud or

  on-premise mode, as it does not require a lengthy approval process or hardware provisioning.

  References:

  AI Center - Hybrid Deployment

  Solutions Management - Deploying a solution

  Enable Phase | Deployment Options | Solution Architect | UiPath ...

• Question 102:

  Which of the options below represent tasks that are well-suited for automation?

  A. Exceptions and rare tasks that require critical thinking.
  B. High-volume repetitive tasks that are predictable and do not require creativity or critical thinking.
  C. Tasks that rely heavily on emotional intelligence and human interaction.
  D. High-volume tasks that require some creativity and critical thinking.
  B. High-volume repetitive tasks that are predictable and do not require creativity or critical thinking.

  ---

  Explanation

  High-volume, repetitive tasks that are predictable and do not require creativity or critical thinking are well-suited for automation with RPA. These tasks often involve routine data entry, data extraction, and rule-based decision-making, which can be efficiently handled by robots. Automating such tasks can significantly improve efficiency, accuracy, and speed, while freeing up human workers to focus on more complex and value-added activities that require human judgment, creativity, and emotional intelligence.

  References: UiPath RPA Guide: Identifying Processes for Automation UiPath Best Practices: Process Selection

• Question 103:

  Which are the main elements revolving around UiPath Automation Hub?

  A. Digitization, Capture traces of the tasks and Automations, Reduce the time spend on understanding the process before building automations.
  B. Automation ideas, Reusable components, Automation, Users, Roles, and Collaborator roles.
  C. Identify Automation opportunities, Development of the automation, and Streamline communications access the teams.
  D. Collect employee desktop data, Construct process maps, and Orchestrate your processes
  B. Automation ideas, Reusable components, Automation, Users, Roles, and Collaborator roles.

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  Explanation

  UiPath Automation Hub is a cloud-based platform that enables organizations to discover, prioritize, and deliver automation solutions at scale. It provides a centralized place to manage the entire automation lifecycle, from ideation to

  deployment and maintenance. The main elements revolving around UiPath Automation Hub are:

  Automation ideas: These are the suggestions for automation opportunities submitted by employees, managers, or the Center of Excellence (CoE). Automation ideas can be created, reviewed, assessed, approved, and tracked in Automation

  Hub.

  Reusable components: These are the building blocks of automation solutions that can be shared and reused across different projects and processes. Reusable components include custom activities, snippets, workflow templates, connectors,

  dashboards, machine learning models, and solutions. Automation Hub allows users to upload, download, rate, and comment on reusable components. Automation: This is the final output of the automation development process, which

  consists of a UiPath project that automates a specific process or task. Automation Hub allows users to monitor the status, progress, and performance of automation projects and solutions.

  Users: These are the people who use Automation Hub to submit, review, assess, approve, develop, or consume automation ideas and components. Users can have different roles and permissions depending on their function and

  responsibility in the automation journey.

  Roles: These are the predefined sets of permissions that determine what actions users can perform in Automation Hub. Roles include Admin, CoE, Manager, Citizen Developer, RPA Developer, Business Analyst, and Automation User.

  Collaborator roles: These are the additional roles that users can have for a specific automation idea or component. Collaborator roles include Idea Owner, Idea Reviewer, Idea Approver, Component Owner, Component Reviewer, Component

  Approver, Automation Owner, Automation Reviewer, and Automation Approver.

  References:

  Automation Hub - UiPath Documentation Portal

  Automation Hub 2022.4 release - partnerportal.uipath.com

  UiPath Automation Hub Deep Dive - UiPath Academy

  The Lifecycle of an Automation Idea in UiPath Automation Hub - UiPath Academy

• Question 104:

  A user is designing a solution lot a business process that uses the following Personal Identifiable Information (Pll):

  Employee Name and Employee Date of Birth

  Taking into consideration that PH should not be accessible to Database Administrators how should the details be stored in UiPath Orchestrator Queues?

  A. Store Employee Name and Date of Birth as Transaction item Reference and set "Store in encrypted format as True
  B. Store Employee Name and Date of Birth in Transaction item Specific Content and set "Store in encrypted format" as True
  C. Store the Employee Name and Date of Birth in Transaction Item Specific Content
  D. Store Employee Name and Date of Birth as Transaction item Reference so the business users can search by name
  B. Store Employee Name and Date of Birth in Transaction item Specific Content and set "Store in encrypted format" as True

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  Explanation

  Personal Identifiable Information (PII) is any data that potentially identifies a specific individual, allows for distinctions to be made between individuals, or could be used to de-anonymize anonymous data. PII should be handled with care and

  protected from unauthorized access or disclosure. UiPath Orchestrator Queues are a way to store and process data items for automation projects. Queues have two types of data: Reference and Specific Content. Reference is a unique

  identifier for the data item, while Specific Content is a collection of key-value pairs that store the actual data. To store PII in UiPath Orchestrator Queues, the best option is to use Specific Content and enable the "Store in encrypted format"

  option. This option encrypts the data using AES-256 encryption and prevents anyone, including database administrators, from viewing the data in plain text. Only the robots that have access to the queue can decrypt and process the data.

  This ensures the security and privacy of the PII data.

  References:

  About Queues and Transactions, Managing Queues in Studio, UiPath for Compliance, a GDPR Automation Solution

• Question 105:

  What is UiPath Al Center Typically used for?

  A. To create machine learning models with ease.
  B. To deploy and use machine learning models in RPA workflows.
  C. To provide in-depth analysis for RPA processes and machine learning models.
  D. To manage machine learning models exclusively.
  B. To deploy and use machine learning models in RPA workflows.

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  Explanation

  UiPath AI Center is a service that allows you to integrate and automate AI models into your RPA workflows. You can use pre-built or custom models, templates, and a drag-and-drop interface to deploy, manage, and improve your AI-enhanced automations. You can also consume the models within Studio or Orchestrator using the ML Skill activity or the ML Extract activity.

  References: RPA and AI Integration with AI Center AI Center - About AI Center How to use UiPath AI Center for Object Detection

• Question 106:

  What is the definition of Artificial intelligence?

  A. Artificial intelligence is an area of machine learning concerned with artificial neural networks. These are a series of algorithms that aim to recognize relationships in a set of data through a process that mimes biological neural networks.
  B. Artificial intelligence is the theory and development of computer system that are able to perform tasks that normally require human intelligence and decision making.
  C. Artificial intelligence is a field of computer science that focuses on enabling computers to identify and understand objects and people in images and videos. It can be seen as the eyes that enable the computer to observer and understand
  D. Artificial intelligence is a machine learning technology that gives computer the ability to interpret, manipulate, and comprehend human language.
  B. Artificial intelligence is the theory and development of computer system that are able to perform tasks that normally require human intelligence and decision making.

  ---

  Explanation

  Artificial intelligence (AI) is a broad term that covers various technologies that enable machines to perform tasks that traditionally require human intelligence, such as reasoning, learning, problem-solving, and using language. AI can be classified into different types, such as weak AI, strong AI, and artificial general intelligence (AGI), depending on the level of intelligence and the scope of tasks that the machines can perform. Some of the common applications of AI include natural language processing, computer vision, speech recognition, machine learning, and deep learning.

  References:

  1: Artificial intelligence (AI) | Definition, Examples, Types, Applications, Companies, and Facts | Britannica

  2: What Is Artificial Intelligence? Definition, Uses, and Types | Coursera

  3: What is Artificial Intelligence (AI) ? | IBM

• Question 107:

  What are the two main categories that a development Specification Document (DSD) should focus on?

  A. Input types and output files.
  B. Runtime guide and development details
  C. Process description and project timeline
  D. Infrastructure settings and error handling
  B. Runtime guide and development details

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  Explanation

  A development Specification Document (DSD) is a critical document for a smooth implementation of an RPA project. It should contain the automated process details and focus on two main categories: runtime guide and development details. The runtime guide should provide information about how the robot will run, such as the input and output files, the configuration settings, the error handling, the logging and reporting, the credential management, and the Orchestrator usage. The development details should provide information about how the robot was built, such as the packages, the environment, the source code repository, the workflow components, the reusable components, the invoke tree, the custom logs, and the background versus foreground automation.

  References:

  1: Studio - Automation Lifecycle - UiPath Documentation Portal

• Question 108:

  A Solutions Architect is cresting the Solution Design diagram for a transactional process.

  The transactions represent invoice Numbers that should be processed sequent it two applications and they are received and formatted as a table in a CSV file.

  A transaction Should only be processed once in each application E.g It a System Exception occurs after invoice ABC was processed in Application 1 when retrying the transaction invoice ABC should only be processed in Application 2

  The following metrics are known:

  -Average Transaction Handling Time = 30 seconds

  -Average Volume per day = 3500 transactions

  Which of the following approaches is the most suitable for the process described above?

  A. Use two REFramework projects and Dispatcher - Performer model, with the following activities used in the Performer -Get Transaction Item -Set Transaction Progress -Set Transaction Status Set the Queue Retry = True.
  B. Use two REFramework projects and Dispatcher - Performer model, with the following activities used in the Performer -Get Transaction Item -Set Transaction Status Set the Queue Retry = True.
  C. Use a single REFramework project with TransactionItem set as DataRow and TransactionData as DataTable. Use the internal REFramework retry mechanism and a Boolean variable to determine if a specific transaction was already processed in Application 1
  D. Use a single REFramework project with TransactionItem set as DataRow and TransactionData as DataTable. Set the Queue Retry = True.
  B. Use two REFramework projects and Dispatcher - Performer model, with the following activities used in the Performer -Get Transaction Item -Set Transaction Status Set the Queue Retry = True.

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  Explanation

  Option B is the most suitable approach for the process described above, as it uses the Robotic Enterprise Framework (ReFramework) template with TransactionItem set as DataRow and TransactionData as DataTable. This template provides

  a robust and scalable structure for transactional processes, with built-in mechanisms for exception handling, logging, retrying, and reporting. By setting the TransactionItem as DataRow and the TransactionData as DataTable, the process can

  read the invoice numbers from the CSV file and process them one by one in a loop. The template also allows the use of queues to store the transaction data and status, which enables the process to resume from the last successful

  transaction in case of a system exception. This way, the process can ensure that each invoice number is processed only once in each application, and avoid duplicate or skipped transactions. The template also integrates with UiPath

  Orchestrator, which provides centralized management, monitoring, and scheduling of the process. The template also supports the use of long-running workflows, which can handle human intervention scenarios using UiPath Action Center.

  The template also complies with the UiPath Automation Solution Architect best practices and standards, such as naming conventions, modularity, reusability, and maintainability.

  References :

  UiPath Studio - Robotic Enterprise Framework Template

  UiPath Studio - Working with Queues in the ReFramework

  UiPath Studio - Long Running Workflow Template with UiPath Tasks

  [UiPath Automation Solution Architect - Course Overview]

  [UiPath Automation Solution Architect - Best Practices and Standards]

• Question 109:

  Which package needs to be installed in order for the Taxonomy Manager wizard to appear in the top ribbon of the UiPath Studio?

  A. UiPath.MLServices.Activities package
  B. UiPath.Documentunderstanding.ML.Activities package
  C. UiPath.OCR.Activities package
  D. UiPath.IntelligentOCR.Activities package
  D. UiPath.IntelligentOCR.Activities package

  ---

  Explanation

  The Taxonomy Manager wizard in UiPath Studio appears when the UiPath.IntelligentOCR.Activities package is installed. This package is part of UiPath's Document Understanding framework, which allows developers to define, manage, and categorize document fields and types. The Taxonomy Manager is a crucial tool in this process, enabling the creation and editing of taxonomy for document classification and data extraction tasks. Installing this package enables the Taxonomy Manager feature in the Studio ribbon, facilitating the development of document processing workflows.

  References: UiPath Document Understanding Guide: Taxonomy Manager UiPath Marketplace: IntelligentOCR Activities

• Question 110:

  What are two key indicators m estimating the development time for process development?

  A. Number of items to be processed and experience of developers
  B. Number of users who will use the process and number of applications 10 be automated
  C. Correctness of documentation and triggers scheduling strategy
  D. Number of actions to be automated and complexity of architecture
  D. Number of actions to be automated and complexity of architecture

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  Explanation

  The development time for process development depends on various factors, such as the scope, requirements, design, testing, deployment, and maintenance of the automation solution. However, two of the most important factors are the

  number of actions to be automated and the complexity of the architecture. The number of actions to be automated refers to the number of steps, activities, or tasks that the automation solution has to perform to achieve the desired outcome.

  The complexity of the architecture refers to the level of difficulty, integration, and customization involved in designing and implementing the automation solution. Both of these factors affect the amount of effort, resources, and skills required for

  the process development.

  References:

  Roles of a Solution Architect in Automation, RPA Setting, Become an Automation Solution Architect