MuleSoft-Integration-Architect-I Exam Dumps - Salesforce Certified MuleSoft Platform Integration Architect (Mule-Arch-202)

Requirement Analysis: The organization needs to send email alerts to the internal operations team whenever a policy applied to an API instance is deleted in the CloudHub runtime plane.

Solution: The most effective approach is to implement a new Mule application that uses the Audit Log REST API to detect when a policy is deleted and then sends an email using the SMTP connector.

Implementation Steps:

Access Audit Logs:

Use the Anypoint Platform's Audit Log REST API to monitor and detect policy deletion events.

Example of accessing the Audit Log REST API:

GET /accounts/api/v2/organizations/{orgId}/audit-logs

This endpoint will provide logs, including events related to policy deletions.

Create Email Notification Application:

Create a Mule application that periodically polls the Audit Log REST API to check for policy deletion events.

Use the SMTP connector to send email notifications to the operations team.

Example Mule flow:

Policy deletion detected: #[payload]

Scheduler: Configures the application to check the audit logs at regular intervals (e.g., every minute).

HTTP Request: Makes a GET request to the Audit Log REST API to fetch the logs.

Choice Router: Checks if the payload contains a policy deletion event.

SMTP Connector: Sends an email to the operations team with details about the policy deletion.

Advantages:

Automation: Automates the detection of policy deletions and the notification process, reducing manual monitoring efforts.

Timeliness: Ensures the operations team is promptly informed of any policy deletions, enabling them to take immediate action if necessary.

References

MuleSoft Documentation on Audit Log REST API

MuleSoft Documentation on SMTP Connector

MuleSoft Documentation on MuleSoft Scheduler Component

Explanation

Correct answer is: Add a Mulesoft hosted Anypoint VPC configured and with VPC Peering to the AWS VPC * Connecting to your Anypoint VPC extends your corporate network and allows CloudHub workers to access resources behind your corporate firewall.

* You can connect on-premises data centers through a secured VPN tunnel, or a private AWS VPC through VPC peering, or by using AWS Direct Connect.

MuleSoft Doc Reference : https://docs.mulesoft.com/runtime-manager/virtual-private-cloud

Explanation

* The Object Store V2 API enables API access to Anypoint Platform Object Store v2.

* You can configure a Mule app to use the Object Store REST API to store and retrieve values from an object store in another Mule app. However, Object Store v2 is not designed for app-to-app communication. To share data between two Mule4 apps, use a queue in Anypoint MQ.

* The Object Store v2 APIs enable you to use REST to perform the following:

- Retrieve a list of object stores and keys associated with an application.

- Store and retrieve key-value pairs in an object store.

- Delete key-value pairs from an object store.

- Retrieve Object Store usage statistics for your organization.

- Object Store provides these APIs:

Object Store API

Object Store Stats API

In the context of Mule applications running on Runtime Fabric for Self-Managed Kubernetes (RTF-BYOKS) in a multi-cloud environment, understanding the thread pools used for communication between Agents and Runtime Manager is crucial:

Shared NIO Selector Pool: This pool is responsible for handling non-blocking IO operations, such as network communication. It ensures efficient handling of IO operations by using a small number of threads to manage multiple IO tasks simultaneously.

CPU_LITE: This thread pool is used for lightweight CPU operations. It is designed to handle tasks that do not require significant computational resources, ensuring that lightweight operations are processed efficiently without overwhelming the system.

The combination of the Shared NIO Selector Pool and CPU_LITE thread pool ensures efficient and reliable communication between Agents and Runtime Manager in the RTF environment.

MuleSoft Threading and Thread Pools

Runtime Fabric Architecture

Explanation

Correct answer is When a Mule runtime on a given customer-hosted server is experiencing high memory consumption during certain periods Using Anypoint Monitoring, you can configure two different types of alerts: Basic alerts for servers and Mule apps Limit per organization: Up to 50 basic alerts for users who do not have a Titanium subscription to Anypoint Platform You can set up basic alerts to trigger email notifications when a metric you are measuring passes a specified threshold. You can create basic alerts for the following metrics for servers or Mule apps: For on-premises servers and CloudHub apps: * CPU utilization * Memory utilization * Thread count Advanced alerts for graphs in custom dashboards in Anypoint Monitoring. You must have a Titanium subscription to use this feature. Limit per organization: Up to 20 advanced alerts

When a Mule application using VM queues is deployed to a customer-hosted cluster or multiple CloudHub v1.0 workers/replicas, messages are consumed in a non-deterministic way. This means that any of the nodes in the cluster or any of the workers can consume the messages from the VM queues, but there is no guaranteed order or specific pattern (such as round-robin or sequential processing).

This non-deterministic message consumption helps in distributing the load and handling messages more efficiently across multiple nodes or workers, improving the scalability and reliability of the application.

References

MuleSoft Documentation on VM Queues and Clustering

Best Practices for Deploying Mule Applications in Clusters

Explanation

* XA transaction add tremendous latency so "Reduce Latency" is incorrect option XA transactions define "All or No" commit protocol.

* Each local XA resource manager supports the A.C.I.D properties (Atomicity, Consistency, Isolation, and Durability).

---------------------------------------------------------------------------------------------------------------------

So correct choice is "Ensure consistency"

In an HTTP/1.1-compliant web service, the class of HTTP response status codes that indicates successful client requests is the 2xx class. These status codes signify that the client's request was successfully received, understood, and accepted by the web service. Common 2xx status codes include:

200 OK: The request was successful.

201 Created: The request was successful and a new resource was created.

202 Accepted: The request has been accepted for processing, but the processing is not yet complete.

Other status code classes like 3xx (redirection), 4xx (client errors), and 5xx (server errors) indicate different types of responses and do not signify successful request processing.

References

IETF RFC 2616: HTTP/1.1 Specification

HTTP Status Code Definitions