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| Certification Vendor: | Salesforce |
|---|---|
| Exam Name: | Salesforce Certified MuleSoft Platform Integration Architect |
| Exam Number: | MuleSoft-Integration-Architect-I (also known as Mule-Arch-202) |
| Exam Duration: | 120 minutes |
| Exam Format: | Multiple choice, Multiple select, Scenario-based questions |
| Real Exam Qty: | 60–65 (including up to 5 unscored items) |
| Passing Score: | 70% |
| Certificate Validity Period: | 2 years |
| Available Languages: | English, Japanese |
| Related Certifications: | Salesforce Certified MuleSoft Catalyst Consultant Salesforce Certified MuleSoft Platform Architect Salesforce Certified MuleSoft Developer Salesforce Certified MuleSoft Hyperautomation Developer Salesforce Certified Platform Integration Architect |
| Exam Price: | USD 400 + applicable taxes; JPY 60,000 |
| Recommended Training: | Anypoint Platform Architecture and Integration Design Salesforce Official Exam Guide |
| Exam Registration: | Salesforce Certification Registration |
| Sample Questions: | Salesforce MuleSoft-Integration-Architect-I Sample Questions |
| Exam Way: | Online proctored or onsite testing center; closed-book exam |
| Pre Condition: | No mandatory prerequisites; Salesforce Certified MuleSoft Developer or equivalent experience is highly recommended |
| Official Syllabus URL: | https://trailhead.salesforce.com/credentials/mulesoftintegrationarchitecti |
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NEW QUESTION # 88
As a part of project , existing java implementation is being migrated to Mulesoft. Business is very tight on the budget and wish to complete the project in most economical way possible.
Canonical object model using java is already a part of existing implementation. Same object model is required by mule application for a business use case. What is the best way to achieve this?
Answer: C
Explanation:
Mule 4 is built to:
*Minimize the need for custom code.
*Avoid the need for you to know or understand Java.
However, some advanced uses cases require integration with custom Java code, such as:
*Reuse of a library, such as a tax calculation library.
*Reuse of a canonical object model that is standard in the organization.
*Execution of custom logic using Java.
Mule ref doc : https://docs.mulesoft.com/java-module/1.2/
NEW QUESTION # 89
What Mule application can have API policies applied by Anypoint Platform to the endpoint exposed by that Mule application?
Answer: C
NEW QUESTION # 90
A corporation has deployed Mule applications to different customer-hosted Mule runtimes. Mule applications deployed to these Mule runtimes are managed by Anypoint Platform.
What needs to be installed or configured (if anything) to monitor these Mule applications from Anypoint Monitoring, and how is monitoring data from each Mule application sent to Anypoint Monitoring?
Answer: A
Explanation:
To monitor Mule applications deployed to different customer-hosted Mule runtimes using Anypoint Monitoring, follow these steps:
* Install Anypoint Monitoring Agent: Install an Anypoint Monitoring agent on each Mule runtime. This agent is responsible for collecting monitoring data from the Mule applications running on that runtime.
* Data Transmission: Each Anypoint Monitoring agent sends the collected monitoring data directly to Anypoint Monitoring. This ensures that performance metrics, logs, and other relevant data are available for analysis and monitoring within the Anypoint Platform.
By using the Anypoint Monitoring agent, organizations can effectively monitor their Mule applications across various environments, ensuring visibility and operational efficiency.
References
* MuleSoft Documentation on Anypoint Monitoring
* Installing and Configuring Anypoint Monitoring Agent
NEW QUESTION # 91
An architect is designing a Mule application to meet the following two requirements:
1. The application must process files asynchronously and reliably from an FTPS server to a back-end database using VM intermediary queues for load-balancing Mule events.
2. The application must process a medium rate of records from a source to a target system using a Batch Job scope.
To make the Mule application more reliable, the Mule application will be deployed to two CloudHub 1.0 workers.
Following MuleSoft-recommended best practices, how should the Mule application deployment typically be configured in Runtime Manger to best support the performance and reliability goals of both the Batch Job scope and the file processing VM queues?
Answer: A
Explanation:
* Requirements:
* Asynchronous and Reliable File Processing: The application must process files from an FTPS server to a back-end database using VM intermediary queues for load balancing.
* Batch Job Processing: The application must process records from a source to a target system using a Batch Job scope.
* Persistent VM Queues:
* Reliability: Persistent VM queues ensure that messages are not lost even if there is a system failure or restart. This is critical for reliable file processing and load balancing.
* Asynchronous Processing: Persistent queues allow for asynchronous processing, where messages can be stored and processed independently of the producer and consumer lifecycles.
* MuleSoft Best Practices:
* Persistent VM Queues for Load Balancing: Using persistent VM queues aligns with MuleSoft best practices for ensuring reliable message processing and load balancing between Mule events.
* High Availability: With CloudHub 1.0 workers, enabling persistent VM queues helps maintain high availability and reliability of the application.
* Batch Job Scope: Ensuring persistence for VM queues also benefits batch processing by maintaining consistency and ensuring all records are processed even in the event of disruptions.
* Configuration in Runtime Manager:
* Deployment Configuration: When deploying the Mule application in Runtime Manager, check the "Persistent VM queues" checkbox to enable this feature.
* Impact: This configuration ensures that the application meets its performance and reliability goals by safeguarding the integrity and continuity of the processing tasks.
MuleSoft Documentation on VM Queues: VM Queues
MuleSoft Best Practices: MuleSoft Best Practices
CloudHub Deployment Guide: CloudHub Deployment
NEW QUESTION # 92
An organization uses Mule runtimes which are managed by Anypoint Platform - Private Cloud Edition. What MuleSoft component is responsible for feeding analytics data to non-MuleSoft analytics platforms?
Answer: B
Explanation:
Correct answer is Anypoint Runtime Manager
MuleSoft Anypoint Runtime Manager (ARM) provides connectivity to Mule Runtime engines deployed across your organization to provide centralized management, monitoring and analytics reporting. However, most enterprise customers find it necessary for these on-premises runtimes to integrate with their existing non MuleSoft analytics / monitoring systems such as Splunk and ELK to support a single pane of glass view across the infrastructure.
* You can configure the Runtime Manager agent to export data to external analytics tools.
Using either the Runtime Manager cloud console or Anypoint Platform Private Cloud Edition, you can:
--> Send Mule event notifications, including flow executions and exceptions, to Splunk or ELK.
--> Send API Analytics to Splunk or ELK. Sending data to third-party tools is not supported for applications deployed on CloudHub.
You can use the CloudHub custom log appender to integrate with your logging system. Reference:
https://docs.mulesoft.com/runtime-manager/ https://docs.mulesoft.com/release-notes/runtime-manager-agent
/runtime-manager-agent-release-notes
Additional Info:
It can be achieved in 3 steps:
1) register an agent to a runtime manager,
2) configure a gateway to enable API analytics to be sent to non MuleSoft analytics platform (Splunk for ex.)
- as highlighted in the following diagram and
3) setup dashboards.
NEW QUESTION # 93
......
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