AnyAirlines releases a new REST API that exposes access to an RPA process. The RPA process can only handle a limited number of interactions per second before the API begins returning errors.
Which policy should AnyAirlines apply to prevent the API from being overloaded?
To prevent an API from being overloaded, the Spike Control policy is suitable. It helps manage sudden bursts of traffic by limiting the rate at which requests are processed. Here's how it works:
Preventing Overloads:
Spike Control smooths out bursts of incoming requests by enforcing a rate limit over a short period, protecting the backend systems from being overwhelmed by excessive traffic.
Configuration:
Apply the Spike Control policy to the API to define the maximum number of requests allowed within a specific timeframe.
This ensures that the API can handle a limited number of interactions per second, preventing errors due to overload.
Implementation:
In Anypoint Platform, configure the Spike Control policy to the desired thresholds, ensuring the RPA process can handle the load effectively without errors.
Anypoint Platform Spike Control Documentation
An RPA developer is building the implementation of an RPA process based on the BPMN created by a colleague. In the BPMN, they see the symbol below:
What does the symbol represent?
Symbol Meaning: The symbol shown is a diamond with an 'X' inside, which represents an exclusive gateway in BPMN (Business Process Model and Notation). This gateway is used to control the flow of the process based on certain conditions or circumstances.
Exclusive Gateway: An exclusive gateway routes the process flow into one of several paths based on conditions defined within the process model. Only one path is taken out of the gateway.
Usage in Process: When an exclusive gateway is encountered, the process evaluates the conditions on each outgoing sequence flow and chooses the path that meets the conditions. This ensures different activities are performed based on different circumstances.
Northern Trail Outfitters wants to create an automation which runs on a fixed schedule to enter sales data into NetSuite running as a process in the background. The business product owner chose MuleSoft Composer as the tool for this task.
The Salesforce admin wants to advise the product owner about how the MuleSoft Composer scheduling functionality works.
Which two options are available for use as the time mechanism within MuleSoft Composer? (Choose two.)
MuleSoft Composer provides scheduling functionality that allows you to set up automated flows to run at specified intervals. The available options for scheduling within MuleSoft Composer include:
Every 30 minutes:
This option allows you to set up a flow to run every half hour, ensuring that your automation process is executed at regular intervals throughout the day.
Every 5 minutes:
This option enables the flow to run at a higher frequency, executing the automation process every 5 minutes, which is useful for scenarios that require more frequent updates or processing.
These scheduling options ensure that you can automate tasks at the desired frequency without manual intervention.
MuleSoft Composer Documentation
What is the difference between Run and Debug modes in Flow Builder?
In Flow Builder, Run and Debug modes have distinct functionalities:
Run Mode:
Executes the flow as it is, allowing you to see the end-to-end execution based on the latest saved version.
Typically used to verify that the flow works as expected under normal conditions.
Debug Mode:
Provides detailed information for each step of the flow, including input and output data, and any errors encountered.
Useful for troubleshooting and identifying issues within the flow, allowing developers to understand how the flow executes and where problems may arise.
Debug mode is specifically designed to aid in diagnosing and fixing issues by providing a granular view of the flow's execution.
AnyAirlines is developing an RPA process to extract information from a legacy system. To capture the manual workflow, they leverage RPA Recorder.
Which two best practices should they be aware of when working with the autogenerated workflow code? (Choose two.)
When developing an RPA process using RPA Recorder, it is essential to be mindful of the following best practices concerning the autogenerated workflow code:
Replace Autogenerated Code:
Robustness: Some of the autogenerated code may not be optimized for robustness or specific use cases. It is often necessary to review and replace parts of the autogenerated workflow with more robust or specialized action steps to ensure reliability and accuracy.
Specialization: Customizing the workflow to fit the specific requirements of the process can improve performance and handle exceptions better.
Remove Sensitive Information:
Sensitive Data: Autogenerated workflows might capture sensitive information such as usernames, passwords, or other confidential data. It is crucial to identify and remove or mask this information before deploying the RPA process to production to maintain security and compliance.
Compliance: Ensuring that sensitive information is handled appropriately helps in adhering to data protection regulations and organizational policies.
MuleSoft RPA Documentation
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