QUESTION: 45

Given the blowing Diagram, what is the biggest issue from the perspective of the stops?

Steps 5 and 6 should be merged.
There are no decision points and no explanations on how to handle each situation
Start and End should not be pan of the diagram
Step 7 should not be captured in the high-level Diagram

Answer(s): B

Explanation:

According to the UiPath Automation Solution Architect Learning Plan, a good flowchart should have consistent design elements, clear logic, and appropriate symbols for each step. The flowchart in the question lacks decision points, which are usually represented by diamond shapes, and does not explain how to handle different scenarios or exceptions. For example, what happens if the email is invalid, the CRM login fails, or the user information is incorrect? Without decision points and explanations, the flowchart is incomplete and ambiguous.

Reference:

RPA Solution Architect Learning Plan
Importance of Solution Architecture
Flowchart Tips - Five Tips for Better Flowcharts
Keep it simple & follow these flowchart rules for better diagrams Ultimate Flowchart Tutorial

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QUESTION: 46

What is the difference between rule-based and model-based data extraction methodologies?

Rule-based extraction is more computationally intensive whereas model based systems are simpler and require fewer computational resources
Rule-based extraction requires manual data labeling while model-based extraction does not need any label or tracing data
Rule-based extraction relies on predefined rules and patterns, while model-based extraction utilizes machine learning algorithms to automatically identify and extract data
Model-based extraction is only effective for structured data sources whereas rule-based extraction can handle both structured and unstructured data sources seamlessly

Answer(s): C

Explanation:

Rule-based extraction is a technique that applies a set of predefined rules and patterns to extract data from a document. For example, you can use document templates, data position, occurrence patterns, or regular expressions to define the rules. Rule-based extraction is suitable for structured documents, such as forms, that have a fixed format and layout. However, rule-based extraction can be limited by the complexity and variability of the rules, and it may not be able to handle semi- structured or unstructured documents, such as invoices, contracts, or emails, that have different formats, layouts, or data types.
Model-based extraction is a technique that uses machine learning algorithms to automatically learn and extract data from a document. For example, you can use classification, clustering, or regression algorithms to train a model based on a set of labeled or unlabeled data. Model-based extraction is effective for semi-structured or unstructured documents, such as invoices, contracts, or emails, that have similar types of information but different formats, layouts, or data types. However, model- based extraction can require more computational resources and data preparation, and it may not be as accurate or consistent as rule-based extraction.

Reference:

Document Processing with Improved Data Extraction | UiPath Data Extraction Types & Techniques: A Complete Guide
NLP Methods' Information Extraction for Textual Data: An Analytical ...

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QUESTION: 47

How can automated Test Sets be executed?

From both Orchestrator and Test Manager
Only from Orchestrator
From boll Studio and Test Manager
Only from Test Manager

Answer(s): A

Explanation:

Automated Test Sets can be executed from both Orchestrator and Test Manager, depending on the source and type of the test cases. Test Sets that have been linked from Orchestrator can be executed automatically or manually, if they have manual steps defined. Test Sets that have been created in Test Manager can also be executed automatically or manually, if they have test cases linked from Studio or manual steps.

Reference:

Test Suite - Test Sets
Test Suite - Executing Tests

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QUESTION: 48

When of the following options can be a handoff point between a Robot and a user, that can be managed through UiPath Action Center?

Create new tasks for Robots.
Start or pause Robot process execution.
Handle business process exceptions
Add breakpoints on certain activities

Answer(s): C

Explanation:

UiPath Action Center is a platform that enables human-robot collaboration for unattended automation. It allows users to provide inputs to robots, handle business process exceptions, and initiate unattended processes through form-based input and file upload. Action Center also offers a central portal where users can track and monitor complex workflows across business units, tasks, people, and robots.

Reference:

Action Center - Introduction
Human Robot Collaboration - Unattended Automation
Action Center - UiPath

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Free UiPath-ASAPv1 Exam Braindumps (page: 12)

QUESTION: 45

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QUESTION: 46

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QUESTION: 47

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QUESTION: 48

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