UiPath-ABAv1 Exam Practice Test Instant Access

Question 1

Which of the following statements is true about UiPath Communications Mining?

ACommunications Mining uses machine learning to mimic human communication while interacting with users.

BCommunications Mining turns unstructured electronic communications data into structured data to drive action and insights in organizations.

CCommunications Mining processes unstructured documents to drive action and insights into processes.

DCommunications Mining is a chatbot solution designed to be an interface between humans and automations.

Answer : B

Understanding Communications Mining:

UiPath Communications Mining uses AI, including Natural Language Processing, to convert unstructured communications like emails and chat logs into structured data, driving automation and actionable insights.

Why Option B is Correct:

It specializes in analyzing electronic communications data, not documents, and transforms it for downstream automation or analysis.

Why Other Options Are Incorrect:

Option A: It does not mimic communication; it processes data.

Option C: Document processing is handled by UiPath Document Understanding.

Option D: It is not a chatbot solution.

Question 2

What is the status of an action when it first shows up on the Actions page in UiPath's Action Center?

AIn Progress

BAssigned

CCompleted

DUnassigned

Answer : D

Initial Action Status in Action Center:

When an action first appears in UiPath's Action Center, it is in the Unassigned status. This indicates that no user has taken ownership of the action yet.

Why Option D is Correct:

Actions must be assigned to a specific user before they can move to an 'In Progress' status. The initial state is always 'Unassigned'.

Why Other Options Are Incorrect:

Option A: 'In Progress' occurs only after an action has been assigned and work has started.

Option B: Actions are not assigned by default; they need to be manually allocated or auto-assigned based on rules.

Option C: 'Completed' status is achieved only after the action has been resolved and closed.

By starting as 'Unassigned,' the Action Center ensures clear responsibility allocation for task execution.

Question 3

Which of the following processes should be considered first for automation when building the automation pipeline?

AA process with medium complexity and low benefits.

BA process with high complexity and low/medium benefits.

CA process with low complexity and low benefits.

DA process with high complexity and high benefits.

Answer : D

Selecting Processes for Automation:

Processes with high complexity and high benefits yield the greatest return on investment and should be prioritized in the automation pipeline. These processes provide substantial operational improvements despite requiring more effort to automate.

Why Option D is Correct:

High-complexity, high-benefit processes deliver maximum ROI and address critical business inefficiencies, making them essential for early focus.

Why Other Options Are Incorrect:

Option A: Medium complexity with low benefits does not justify the automation effort.

Option B: High complexity with low/medium benefits may be challenging to automate without significant returns.

Option C: Low complexity and low benefits processes are neither impactful nor efficient to automate early.

Question 4

Can you define custom variables in Insights for calculating specific KPIs?

ANo, we cannot use custom variables.

BYes, they are extracted from trigger parameters.

CYes, they are extracted from robot logs and queues.

DNo, as Insights is not customizable besides the generic templates.

Answer : C

Understanding Custom Variables in UiPath Insights:

UiPath Insights allows users to define and utilize custom variables for calculating unique KPIs tailored to their business needs. These variables are primarily extracted from logs generated by robots and queues, providing insights into process performance.

Why Option C is Correct:

Custom variables in Insights are derived from data sources like robot logs and queues, enabling businesses to track and measure KPIs aligned with their automation goals.

Why Other Options Are Incorrect:

Option A: Insights does support custom variables, making this incorrect.

Option B: Trigger parameters are not the primary source for extracting custom variables.

Option D: Insights offers customization beyond generic templates, allowing for tailored KPI calculations.

Question 5

Which of the following are one of the three features offered by UiPath Process Mining within the Automation Potential dashboard?

AAutomation Rate, Manual Processing Time, FTE

BAutomation Rate, Avg. number of events, FTE

CAutomation Rate, Total case value, FTE

DAutomation Rate, Manual Processing Time, Number of cases

Answer : A

Understanding UiPath Process Mining:

UiPath Process Mining analyzes data from IT systems to generate insights about automation opportunities. The Automation Potential dashboard provides metrics like Automation Rate, Manual Processing Time, and FTE savings to help identify and prioritize processes for automation.

Why Option A is Correct:

Automation Rate: Indicates the proportion of tasks that can be automated.

Manual Processing Time: Reflects the time spent on tasks manually, highlighting potential savings.

FTE (Full-Time Equivalent): Measures the labor effort involved, showing the potential for resource optimization.

Why Other Options Are Incorrect:

Option B: Average number of events is not a specific feature of the Automation Potential dashboard.

Option C: Total case value is unrelated to Process Mining features.

Option D: Number of cases is not a metric in the Automation Potential dashboard.

By focusing on these key features, UiPath Process Mining provides actionable insights into process efficiency and automation readiness.

Question 6

What are the main stages of an Assisted Task Mining project?

ACollect data, analyze with AI, visualize results, export results

BExtract permissions, analyze with AI, manage projects, export machine model

CRecord all applications, analyze with AI, identify processes, export processes with ROI

DCollect data, analyze permissions, export actions, generate dashboard

Answer : A

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.

Question 7

When executing test cases during the User Acceptance Testing phase of Automation Implementation and an unexpected scenario arises that was not covered in the initial plan, what should the Business Analyst do?

AThe Business Analyst must handle this new situation independently, make necessary changes, and ensure that the automation performs as expected in this new scenario.

BThe Business Analyst should log the new scenario as a deviation, communicate it to the automation implementation team, and together they should decide on how to handle this new situation.

CThe Business Analyst should escalate the new scenario to the project manager or the testing manager to get a solution instead of working with the automation development team.

DThe Business Analyst should ignore the new scenario as it was not initially included in the UAT plan and focus on the scenarios that were agreed upon.

Answer : B

During the User Acceptance Testing (UAT) phase, unforeseen scenarios are not uncommon. The Business Analyst (BA) plays a crucial role in ensuring that these scenarios are managed effectively to maintain the integrity and functionality of the automation.

Understand the Role of UAT:

UAT is designed to ensure that the developed automation aligns with the agreed-upon business requirements.

It involves validating both happy path and exception scenarios. Any new scenario not documented in the UAT plan needs to be addressed systematically.

Why Option B is Correct:

Logging the scenario as a deviation ensures transparency and accountability.

Collaborating with the implementation team allows the BA to leverage their technical expertise for a resolution.

This approach ensures that the scenario is evaluated, documented, and potentially included in future testing cycles.

Why Other Options Are Incorrect:

Option A: Handling the situation independently disregards team collaboration, potentially leading to gaps in understanding or misaligned fixes.

Option C: Escalating the issue to the project manager without involving the development team delays resolution and bypasses the experts directly responsible for the automation.

Option D: Ignoring the scenario undermines the purpose of UAT, risking the deployment of incomplete or non-functional automation.

Reference to UiPath Practices:

The PDD and UAT plans emphasize logging deviations and continuously updating documentation during UAT.

Change management principles highlight the importance of documenting new requirements and involving the relevant teams.

By logging and addressing deviations collaboratively, the BA ensures the automation solution is robust, efficient, and aligned with business needs.

UiPath-ABAv1 UiPath Certified Professional Automation Business Analyst Professional v1.0 Exam Practice Test