Free Salesforce MuleSoft-Integration-Architect-I Practice Exam with Questions & Answers | Set: 3

In Mule applications, different components are handled by specific thread pools to optimize performance and resource utilization.

• HTTP Listener: This component handles incoming HTTP requests and is managed by the Shared Selector Pool. The Shared Selector Pool is responsible for handling non-blocking IO operations efficiently.
• Logger: The Logger component is lightweight and does not perform CPU-intensive operations. It is managed by the CPU_LITE thread pool, which is designed for lightweight CPU operations.

This separation ensures that IO-bound operations do not block CPU-bound operations, maintaining optimal performance and responsiveness in the application.

References:

• MuleSoft Threading and Thread Pools
• MuleSoft HTTP Listener Documentation

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• Dealer D1 - AUTO Acknowledgment:
• Dealer D2 - Manual Acknowledgment:
• Ensuring Message Delivery:

References:

• MuleSoft Documentation on JMS Acknowledgment
• Best practices for Reliable Messaging

Explanation

Mule applications are deployed in CloudHub workers and each worker is assigned with a dedicated IP • For zero downtime deployment, each worker in CloudHub needs additional IP addresses • A few IPs in a VPC are reserved for infrastructure (generally 2 IPs) • The IP addresses are usually in a private range with a subnet block specifier, such as 10.0.0.1/24 • The smallest CIDR network subnet block you can assign for your VPC is /24 (256 IP addresses) (60*3 env * 2 worker per application ) + 50% of (total) for zero downtime = 540 In this case correct answer is 10.0.0.0/22 as this provided 1024 IP's .

Other IP's are insufficient.

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.

Explanation

JMX Management Java Management Extensions (JMX) is a simple and standard way to manage applications, devices, services, and other resources. JMX is dynamic, so you can use it to monitor and manage resources as they are created, installed, and implemented. You can also use JMX to monitor and manage the Java Virtual Machine (JVM). Each resource is instrumented by one or more Managed Beans, or MBeans. All MBeans are registered in an MBean Server. The JMX server agent consists of an MBean Server and a set of services for handling Mbeans. There are several agents provided with Mule for JMX support. The easiest way to configure JMX is to use the default JMX support agent. Log4J Agent The log4j agent exposes the configuration of the Log4J instance used by Mule for JMX management. You enable the Log4J agent using the element. It does not take any additional properties MuleSoft Reference: https://docs.mulesoft.com/mule-runtime/3.9/jmx-management

A. Implement HTTP caching policy for all GET endpoints for the master lookup API and implement locking to synchronize access to object store

Comprehensive Detailed Step by Step ExplanationTo resolve the performance issue observed during the performance testing of the Master lookup API, the best approach involves caching and synchronization:

• HTTP Caching Policy:
• Object Store Locking:

By implementing these two strategies, the response time of the Master lookup API will be significantly improved, and the performance issue will be resolved.

References

• MuleSoft HTTP Caching Policy
• MuleSoft Object Store Connector

The described approach of gathering all requirements upfront and proceeding through sequential, non-repeating phases is characteristic of the Waterfall methodology. Waterfall is a linear project management approach where each phase must be completed before the next one begins, and there is typically no going back to a previous phase once it is completed. This methodology is well-suited for projects with well-defined requirements and deliverables, but it can be inflexible if changes or new requirements arise during the project.

References:

• Waterfall Model
• Waterfall vs. Agile: Which is the Right Development Methodology for Your Project?

For handling millions of requests per day with high performance and reliability, JMS (Java Message Service) transactions are the most suitable method. JMS transactions ensure that messages are processed reliably and can be rolled back in case of failures, providing transactional integrity. This is crucial for a trading company where reliable message processing is critical.

Using JMS transactions within Mule clusters allows for the decoupling of message producers and consumers, improving scalability and fault tolerance. JMS provides built-in mechanisms for handling transactional messaging, ensuring that messages are processed once and only once, even in the event of system failures.

References:

• MuleSoft Documentation on JMS

Explanation

Correct answer is An HTTP Load Balancer.

Key thing to note here is that we are deploying application to customer hosted Mule runtime. This means we will need load balancer to route the requests to different instances of the cluster.

Rest all options are distractors and their requirement depends on project use case.