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UiPath UiPath-ABAv1 Exam Syllabus Topics:

Topic	Details
Topic 1	Workflow Analyzer: This topic covers the use of Workflow Analysis, along with configuring Workflow Analyzer settings.
Topic 2	Email Automation: Handling emails via IMAP, POP3, SMTP, and integrating with Microsoft and Gmail are covered in this section. It also discusses the usage of Microsoft 365 and Gsuite packages.
Topic 3	Integration Service: This topic explains Integration Service, use of integration service connectors, triggers, and the Integration Service Connector Builder.
Topic 4	UI Automation: UI Automation principles, including modern and classic design experiences, are discussed alongside utilizing modern recorder and input output activities.
Topic 5	Version Control Integration: It focuses on utilizing Git integration in Studio to add a project, clone a repository is explained, including common Git operations.
Topic 6	Libraries and Templates: Creating, publishing, and consuming process libraries, as well as working with templates, are discussed here.
Topic 7	Excel Automation: It explains Excel Automation principles and modern Excel integration including reading, writing, and manipulating Excel files. Additionally, the topic focuses on the usage of the Excel Workbook activities.
Topic 8	PDF Automation: It discusses extracting data from native and scanned PDFs. Moreover, the topic focuses on different techniques for working with PDF documents.
Topic 9	Implementation Methodology: Understanding project implementation stages, interpreting PDDs and SDDs, and conducting peer reviews are discussed here.
Topic 10	Studio Interface: Here, the topic covers installing Studio Community Edition, connecting to Orchestrator, and navigating the Studio interface. It also includes explanations of different Studio profiles, management of packages, use of activity project settings, and the use of options in the Studio Backstage view.
Topic 11	Orchestrator: Understanding Orchestrator entities, tenant entities, provisioning robots, defining roles, and utilizing logging features are covered in this topic.
Topic 12	Platform Knowledge: It delves into UiPath products and their uses, including Studio types, Robot types, Orchestrator, and Integration Service. Additionally, it discusses the value of components within the UiPath Ecosystem.
Topic 13	Data Manipulation: String manipulation, array operations, list initialization, dictionary usage, and DataTable operations are discussed in this topic.
Topic 14	Business Knowledge: This topic focuses on understanding business process automation (BPA) and its value proposition, as well as exploring key concepts related to business processes.
Topic 15	Logging: This topic addresses interpreting robot execution logs and implementing logging best practices during development for effective debugging and analysis.
Topic 16	Control Flow: Control Flow activities, workflow types, and Flowchart layouts are discussed here, along with the usage of IF, Flow Decision, Switch activities, While, Do While, and For Each.
Topic 17	Object Repository: Creation, publication, and consumption of UI libraries with static and dynamic descriptors are covered in this section.
Topic 18	Variables and Arguments: This topic explores data types and how they're utilized, along with creating, managing, and using variables and arguments. It also addresses the differences between variables, arguments, global constants, and global variables.

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UiPath Certified Professional Automation Business Analyst Professional v1.0 Sample Questions (Q20-Q25):

NEW QUESTION # 20
During the User Acceptance Testing phase of Automation Implementation, if there are deviations from the expected outcomes, who is primarily responsible for logging those and working towards resolving those issues?

A. The Solution Architect is responsible for logging all deviations and working with the Business Analyst to rectify them.
B. The Business Analyst would log these deviations and work with the Automation Implementation Team to resolve the issues.
C. The Developer, who runs the bot in the pre-production environment, is responsible for logging the deviations and working with the Solution Architect to solve them.
D. The Operations Team, who would receive details on the Runbook, is responsible for logging any deviations and working with the Developer to fix these issues.

Answer: B

Explanation:
Role of the Business Analyst in UAT:
During the User Acceptance Testing (UAT) phase, the Business Analyst plays a key role in ensuring that the automation aligns with business requirements.
They are responsible for:
Logging deviations from expected outcomes.
Coordinating with the Automation Implementation Team to resolve issues.
Option Analysis:
Option A: Developers primarily address technical fixes but do not oversee logging during UAT.
Option B: Solution Architects focus on system design and may assist in technical adjustments but are not responsible for logging deviations.
Option D: The Operations Team handles the post-deployment phase and runbook management, not UAT testing.
Correct Option (C): The Business Analyst ensures deviations are identified, logged, and resolved in collaboration with the implementation team.

NEW QUESTION # 21
What is the difference between training an ML model using a CPU versus using a GPU in UiPath Cloud Platform?

A. Training a model using a GPU is around five times faster than using a CPU
B. Training a model using a GPU is around five times slower than using a CPU
C. Training a model using a GPU provides more accurate results
D. You can train multiple models on the same GPU at the same time

Answer: A

Explanation:
In the context of UiPath Cloud Platform, training a machine learning (ML) model using a GPU (Graphics Processing Unit) is significantly faster than using a CPU (Central Processing Unit). This is because GPUs are designed to handle parallel processing, which is highly beneficial for the matrix and vector computations required in ML model training. GPUs can perform more calculations simultaneously compared to CPUs, leading to faster training times, especially with large and complex datasets1.
The UiPath documentation specifically recommends using GPU training for large and production datasets, as CPU training is much slower and should be used sparingly, for small datasets for demo or testing purposes1.
This aligns with the general understanding that for deep learning training, GPUs should be used due to their significant speed advantage over CPUs23.
References: The information is verified as per the UiPath Documentation Portal and other reliable sources that discuss the advantages of using GPUs over CPUs for ML model training123.

NEW QUESTION # 22
How can attended process execution be scheduled?

A. They cannot be scheduled but users can set reminders
B. Only from Orchestrator
C. Both from Assistant and Orchestrator
D. Only from Assistant

Answer: A

Explanation:
Attended process execution in UiPath cannot be scheduled in the same way as unattended processes. However, users can set reminders using the UiPath Assistant. While the Assistant allows for reminders to be set, it does not schedule the process to run automatically. The user must manually start the process after being reminded. This is in contrast to unattended processes, which can be scheduled to run automatically at specified times through the Orchestrator12.

NEW QUESTION # 23
Which of the following are templates in UiPath Insights?

A. Business ROI, Licenses, Queues, Robots.
B. Business ROI, Processes, Queues, Licenses.
C. Business ROI, Processes, Licenses, Robots.
D. Business ROI, Processes, Queues, Robots.

Answer: D

Explanation:
Templates in UiPath Insights:
Insights includes pre-built dashboards/templates to monitor and analyze automation performance.
Key templates:
Business ROI: Measures return on investment.
Processes: Tracks execution details, transactions, and exceptions.
Queues: Monitors queue performance and usage.
Robots: Provides insights into robot activity and status.
Option Analysis:
Option B: Incorrect as Licenses is not a template.
Option C: Excludes Processes, which is a core template.
Option D: Licenses is not available as a template in Insights.
Correct Option (A): Accurately lists the available templates.
Use in Decision-Making: These templates provide actionable insights for optimizing automation workflows and tracking KPIs.

NEW QUESTION # 24
UiPath Process Mining provides TemplateOne application that offers different generic dashboards containing information, KPIs, and analysis functionality focused on a specific process area What are the 3 standard KPIs part of the Automation Dashboard within the TemplateOne application?

A. Automation Rate, Total Manual Processing time Supplier Avg. Time
B. Automation Rate, Total Manual event cost. Intercompany case value
C. Automation Rate, Total Manual Processing time. Total Manual event cost
D. Automation Rate, Material Group Count. Avg. throughput time

Answer: C

Explanation:
In the TemplateOne application provided by UiPath Process Mining, the Automation Dashboard includes the following three standard KPIs: Automation Rate, Total Manual Processing Time, and Total Manual Event Cost. These KPIs help in assessing the efficiency and cost-effectiveness of manual vs automated processes within an organization.References: UiPath Documentation on Process Mining and TemplateOne at
https://docs.uipath.com/.

NEW QUESTION # 25
......

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UiPath-ABAv1 New Dumps Book & Premium UiPath-ABAv1 Exam

UiPath UiPath-ABAv1 Exam Syllabus Topics:

UiPath UiPath-ABAv1 Exam Questions | Reduce Your Fear in Final Exam

UiPath Certified Professional Automation Business Analyst Professional v1.0 Sample Questions (Q20-Q25):

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