MuleSoft-Integration-Architect-I Exam Dumps - Salesforce MuleSoft Questions and Answers

According to MuleSoft’s recommended REST conventions, the HTTP method GET should be used to specify how API clients can request data from a specified resource. The GET method is designed to retrieve data from a server at the specified resource. It is one of the most common HTTP methods used in RESTful APIs, ensuring that data retrieval is performed without any side effects on the server or resource.

Explanation

1 way SSL : The server presents its certificate to the client and the client adds it to its list of trusted certificate. And so, the client can talk to the server.

2-way SSL:  The same principle but both ways. i.e. both the client and the server has to establish trust between themselves using a trusted certificate. In this way of a digital handshake, the server needs to present a certificate to authenticate itself to client and client has to present its certificate to server.

* TLS is a cryptographic protocol that provides communications security for your Mule app.

* TLS offers many different ways of exchanging keys for authentication, encrypting data, and guaranteeing message integrity Keystores and Truststores Truststore and keystore contents differ depending on whether they are used for clients or servers:

For servers: the truststore contains certificates of the trusted clients, the keystore contains the private and public key of the server. For clients: the truststore contains certificates of the trusted servers, the keystore contains the private and public key of the client.

Adding both a keystore and a truststore to the configuration implements two-way TLS authentication also known as mutual authentication.

* in this case, correct answer is Support for TLS mutual (two-way) authentication with HTTP clients.

To securely handle sensitive properties in a Mule application deployed through a CI/CD pipeline, the properties should be encrypted and stored as global configuration properties. This ensures that sensitive data is not visible in cleartext in Runtime Manager or any other configuration files. The steps are:

Encrypt Sensitive Properties: Use a tool or process to encrypt sensitive property values.

Global Configuration Properties: Store these encrypted values as global configuration properties within the Mule application.

Configuration in Runtime Manager: Ensure that these properties are referenced correctly so that administrators with proper permissions can manage them in Runtime Manager without exposing the sensitive values.

This approach aligns with security best practices and complies with the requirement to hide sensitive properties while allowing administrative control.

References

MuleSoft Documentation on Secure Property Placeholder

Best Practices for Handling Sensitive Data in MuleSoft

Explanation

Correct answer is Perform all communication involving service S synchronously from within the For Each scope, so objects in RESP are in the exact same order as request objects in REQU Explanation : Using Anypoint MQ, you can create two types of queues: Standard queue These queues don’t guarantee a specific message order. Standard queues are the best fit for applications in which messages must be delivered quickly. FIFO (first in, first out) queue These queues ensure that your messages arrive in order. FIFO queues are the best fit for applications requiring strict message ordering and exactly-once delivery, but in which message delivery speed is of less importance Use of FIFO queue is no where in the option and also it decreased throughput. Similarly persistent object store is not the preferred solution approach when you maximizing message throughput. This rules out one of the options. Scatter Gather does not support ObjectStore. This rules out one of the options. Standard Anypoint MQ queues don’t guarantee a specific message order hence using another for each block to collect response wont work as requirement here is to ensure the order. Hence considering all the above factors the feasible approach is Perform all communication involving service S synchronously from within the For Each scope, so objects in RESP are in the exact same order as request objects in REQU

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

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

To meet the reliability requirements for Mule applications deployed to a Runtime Fabric (RTF) cluster, where data needs to be shared across application replicas and persist through restarts, the best approach is to use Anypoint Object Store v2. This service is designed to provide persistent storage that can be shared among different application instances and across restarts. Steps include:

Configure Object Store v2: Set up Anypoint Object Store v2 in the Mule application to handle data storage needs.

Persistent Data Handling: Ensure that the configuration allows data to be shared and persist, meeting the requirements for reliability and consistency.

This solution leverages MuleSoft's cloud-based storage service optimized for these use cases, ensuring data integrity and availability.

References

MuleSoft Documentation on Object Store v2

Configuring Persistent Data Storage in MuleSoft

Explanation

Correct answer is "Compile, package, unit test, validate unit test coverage, deploy" Explanation : Anypoint Platform supports continuous integration and continuous delivery using industry standard tools Mule Maven Plugin The Mule Maven plugin can automate building, packaging and deployment of Mule applications from source projects Using the Mule Maven plugin, you can automate your Mule application deployment to CloudHub, to Anypoint Runtime Fabric, or on-premises, using any of the following deployment strategies • CloudHub deployment • Runtime Fabric deployment • Runtime Manager REST API deployment • Runtime Manager agent deployment MUnit Maven Plugin The MUnit Maven plugin can automate test execution, and ties in with the Mule Maven plugin. It provides a full suite of integration and unit test capabilities, and is fully integrated with Maven and Surefire for integration with your continuous deployment environment. Since MUnit 2.x, the coverage report goal is integrated with the maven reporting section. Coverage Reports are generated during Maven’s site lifecycle, during the coverage-report goal. One of the features of MUnit Coverage is to fail the build if a certain coverage level is not reached. MUnit is not used for integration testing Also publishing to Anypoint Exchange or to create associated API instances in API Manager is not a part of CICD pipeline which can ne achieved using mulesoft provided maven plugin

Explanation

Architecture mentioned in the question can be diagrammatically put as below. Persistent Object Store is the correct answer .

* Mule Object Stores: An object store is a facility for storing objects in or across Mule applications. Mule uses object stores to persist data for eventual retrieval.

Mule provides two types of object stores:

1) In-memory store – stores objects in local Mule runtime memory. Objects are lost on shutdown of the Mule runtime. So we cant use in memory store in our scenario as we want to share watermark within all cloudhub workers

2) Persistent store – Mule persists data when an object store is explicitly configured to be persistent. Hence this watermark will be available even any of the worker goes down

Leveraging existing Java-based capabilities for data transformations in a Mule application can enhance efficiency and reuse. Here’s how to integrate Java classes for transformations:

Create Java Classes:

Ensure the Java classes that contain the transformation logic are available in the Mule application project.

Compile the Java classes if they are not already compiled and place the .class files or JAR file in the Mule project’s classpath.

Configure DataWeave to Call Java Methods:

Use DataWeave’s capability to invoke Java methods within the transformation scripts.

Import the Java classes and methods in the DataWeave script.

%dw 2.0 import * from my.package.ClassName output application/json --- { transformedData: ClassName::methodName(payload) }

Perform Transformations:

Write DataWeave scripts that call the appropriate Java methods to perform the necessary transformations.

Ensure the input and output types match between DataWeave and the Java methods.

Test Transformations:

Thoroughly test the transformations to ensure the Java methods are correctly invoked and the expected transformations are applied.

This approach allows for seamless integration of existing Java logic into Mule applications, leveraging DataWeave’s power for comprehensive data transformations.

References

MuleSoft Documentation: DataWeave and Java Integration

MuleSoft Documentation: Using Java with Mule