UiPath-ASAPv1 UiPath Automation Solution Architect Professional v1.0 Exam Practice Test

Answer : B

The primary responsibilities of an RPA Solution Architect include designing and planning RPA solutions that automate business processes to improve efficiency and productivity. This role involves understanding the business requirements, identifying automation opportunities, designing the solution architecture, and ensuring that the planned solution aligns with both technical and business goals. Solution Architects play a crucial role in bridging the gap between business needs and technical solutions, ensuring that the RPA deployments are successful and deliver the intended value to the organization.

UiPath Role Guides: Solution Architect

UiPath Best Practices: Role of a Solution Architect

Answer : D

In UiPath Data Service, an 'Entity' represents a data model that defines the structure of data stored within the service, similar to a table in a relational database. Entities are used to model and manage business data in Data Service.

Answer : B

Clustering in UiPath Orchestrator is designed to ensure high availability by providing redundancy and fault tolerance. If one Orchestrator node in the cluster fails, other nodes can continue to handle the workload, ensuring that the system remains operational with minimal disruption.

Answer : A

This answer aligns with UiPath's emphasis on ensuring that automation solutions adhere to compliance standards and safeguard against security vulnerabilities and data privacy concerns, as outlined in UiPath's documentation and best practices for automation development.

Answer : B

UiPath Automation Hub documentation discusses the various stages of the automation lifecycle, including the Decision Pipeline step. This step is crucial for evaluating and deciding which automation ideas will proceed to the implementation phase based on their potential impact, feasibility, and alignment with business goals. This ensures that resources are allocated to the most valuable and viable automation projects. (Source: https://docs.uipath.com/automation-hub/docs/idea-lifecycle)

Answer : A

In the context of machine learning, as described in UiPath's AI Fabric documentation, model training is the process where a machine learning model learns from the data provided to it, allowing it to adjust its parameters to improve its performance in making predictions or decisions based on new data. This is a fundamental step in developing AI capabilities within UiPath solutions. (Source: https://docs.uipath.com/ai-fabric/docs/about-ai-fabric)

Answer : B

In UiPath's documentation regarding the Dispatcher and Performer model, it is emphasized that the Dispatcher is responsible for adding items to the queue, while the Performer processes these items. An accurate split between Dispatcher and Performer tasks is crucial for efficient process design. The given estimation table should clearly distinguish tasks that add items to the queue (Dispatcher) from those that process items from the queue (Performer). Mixing or inaccurately assigning these tasks can lead to inefficiencies and confusion in process execution. (Source: https://docs.uipath.com/orchestrator/docs/about-queues-and-transactions)