Q91
Q91 What is the primary purpose of bot orchestration in RPA?
To manage and coordinate multiple bots efficiently
To manually trigger bot execution
To slow down bot execution
To increase human intervention
Q92
Q92 Which component is essential for scheduling bots in an enterprise RPA environment?
Orchestrator or control room
A manual trigger
A user logging in
Only local execution
Q93
Q93 How does workload balancing help in bot orchestration?
By distributing tasks across multiple bots
By running all bots on the same machine
By executing all tasks sequentially
By disabling bot monitoring
Q94
Q94 What is a key feature of unattended bots in RPA scheduling?
They run automatically based on triggers without human intervention
They require manual execution for every task
They can only run on a single machine
They do not require authentication
Q95
Q95 Why is monitoring important in bot orchestration?
To track bot performance and detect failures
To slow down bot execution
To manually intervene in every process
To disable bot alerts
Q96
Q96 In UiPath, which feature is used to schedule bot execution?
UiPath Orchestrator
Manual execution
Command Prompt
Excel macros
Q97
Q97 How does Blue Prism handle bot scheduling?
By using Control Room to manage bot execution
By requiring manual execution
By using hardcoded schedules
By relying only on UI triggers
Q98
Q98 What is the role of queue-based processing in RPA scheduling?
To distribute tasks dynamically to available bots
To store logs only
To manually assign tasks
To disable automatic execution
Q99
Q99 A scheduled bot fails to start in UiPath Orchestrator. What should be checked first?
Bot machine connectivity and availability
The bot’s keyboard and mouse
The bot’s execution speed
The bot’s log files only
Q100
Q100 What is the best way to handle bot failures in a scheduled environment?
Implement retry mechanisms and alerts
Restart the bot manually
Disable scheduling
Ignore the failure and rerun the bot
Q101
Q101 A bot is failing intermittently due to resource constraints. What is the best approach?
Distribute workload using multiple bots
Reduce bot execution time
Ignore the failures
Disable resource monitoring
Q102
Q102 What is the primary benefit of integrating AI with RPA?
Enhances automation with decision-making capabilities
Reduces bot execution speed
Removes the need for structured data
Prevents human intervention completely
Q103
Q103 How does machine learning contribute to cognitive automation?
It allows bots to learn from data and improve performance
It replaces all RPA workflows
It eliminates the need for structured data
It only works with predefined rules
Q104
Q104 Which type of data does cognitive automation primarily work with?
Both structured and unstructured data
Only structured data
Only numerical data
Only real-time data
Q105
Q105 What differentiates cognitive automation from traditional RPA?
Cognitive automation includes AI-based decision-making
Traditional RPA requires AI to function
Traditional RPA automates only cognitive tasks
Cognitive automation cannot work with structured data
Q106
Q106 Why is natural language processing (NLP) important in cognitive automation?
It allows bots to understand and process human language
It enables bots to manipulate databases
It improves bot scheduling
It reduces the need for automation scripts
Q107
Q107 Which AI service can be used with RPA to process images and extract data?
OCR (Optical Character Recognition)
FTP
BIOS
API gateway
Q108
Q108 In UiPath, which AI capability is used for processing handwritten text?
Document Understanding
String Manipulation
Regular Expressions
XPath Selectors
Q109
Q109 How does an RPA bot leverage AI models for decision-making?
By integrating with AI APIs or pre-trained models
By hardcoding conditions in scripts
By only using rule-based automation
By storing all data in text format
Q110
Q110 A cognitive automation bot is failing to extract text from an image. What should be checked first?
The OCR engine settings and image quality
The bot’s execution speed
The bot’s hardware
The RPA tool’s installation files
Q111
Q111 A bot using NLP is incorrectly interpreting text inputs. What is the best approach to fix this?
Train the NLP model with more relevant data
Increase bot execution speed
Disable NLP processing
Ignore misinterpretations
Q112
Q112 What is the primary goal of performance optimization in RPA?
To increase execution speed and efficiency
To make bots require manual intervention
To increase the bot’s complexity
To limit automation scalability
Q113
Q113 How can an RPA developer improve the performance of a bot?
By optimizing workflow design and using efficient activities
By adding more logs
By increasing execution delays
By running bots in debug mode only
Q114
Q114 Why is it important to avoid hardcoded values in an RPA workflow?
It improves bot reusability and flexibility
It slows down execution
It makes debugging harder
It prevents bots from using variables
Q115
Q115 Which factor most commonly causes performance bottlenecks in RPA automation?
Excessive use of UI-based automation
Using API-based automation
Using minimal logging
Reducing bot execution speed
Q116
Q116 What is an effective way to handle large datasets efficiently in RPA?
Using batch processing and pagination
Processing all records at once
Increasing CPU usage
Running bots in debug mode
Q117
Q117 Which technique is recommended to optimize bot execution in UiPath?
Using parallel processing and queue-based automation
Adding excessive delays
Using only image-based automation
Disabling exception handling
Q118
Q118 In Blue Prism, what is the best approach to reduce memory consumption during automation?
Clearing unused data items and optimizing loops
Increasing bot execution priority
Ignoring resource limitations
Reducing logging mechanisms
Q119
Q119 How can exception handling impact bot performance?
Properly handled exceptions improve resilience and efficiency
Exception handling slows down execution
Exceptions should always terminate bot execution
Bots do not require exception handling
Q120
Q120 A bot frequently fails due to application timeouts. What is the best solution?
Implement dynamic wait and retry mechanisms
Reduce bot execution priority
Disable logging
Manually intervene in every execution
