MCIA-Level-1 Exam Dumps - MuleSoft Certified Architect Questions and Answers

Explanation

* When you create an Anypoint VPC, the range of IP addresses for the network must be specified in the form of a Classless Inter-Domain Routing (CIDR) block, using CIDR notation.

* This address space is reserved for Mule workers, so it cannot overlap with any address space used in your data center if you want to peer it with your VPC.

* To calculate the proper sizing for your Anypoint VPC, you first need to understand that the number of dedicated IP addresses is not the same as the number of workers you have deployed.

* For each worker deployed to CloudHub, the following IP assignation takes place: For better fault tolerance, the VPC subnet may be divided into up to four Availability Zones.

* A few IP addresses are reserved for infrastructure. At least two IP addresses per worker to perform at zero-downtime.

* Hence in this scenario 2048 IP's are required to support the requirement.

Explanation

* "Relocation of the database systems to a DMZ in the on-premises network, with Mule applications deployed to the CloudHub Shared Worker Cloud connecting only to the DMZ" is not a feasible option

* "Static IP addresses for the Mule applications deployed to the CloudHub Shared Worker Cloud, plus matching firewall rules and IP whitelisting in the on-premises network" - It is risk for sensitive data. - Even if you whitelist the database IP on your app, your app wont be able to connect to the database so this is also not a feasible option

* "An Anypoint VPC with one Dedicated Load Balancer fronting each on-premises database system, plus matching IP whitelisting in the load balancer and firewall rules in the VPC and on-premises network" Adding one VPC with a DLB for each backend system also makes no sense, is way too much work. Why would you add a LB for one system.

* Correct answer: "An Anypoint VPC connected to the on-premises network using an IPsec tunnel or AWS DirectConnect, plus matching firewall rules in the VPC and on-premises network"

IPsec Tunnel You can use an IPsec tunnel with network-to-network configuration to connect your on-premises data centers to your Anypoint VPC. An IPsec VPN tunnel is generally the recommended solution for VPC to on-premises connectivity, as it provides a standardized, secure way to connect. This method also integrates well with existing IT infrastructure such as routers and appliances. Reference: https://docs.mulesoft.com/runtime-manager/vpc-connectivity-methods-concept

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https://docs.mulesoft.com/runtime-manager/dedicated-load-balancer-tutorial

API Manager is a component of the Anypoint Platform's control plane. The control plane in Anypoint Platform is responsible for managing, securing, and monitoring APIs and integrations. API Manager specifically provides tools for API governance, including policy enforcement, analytics, security, and lifecycle management. It allows organizations to manage APIs centrally, ensuring they adhere to compliance and security standards while providing insights into API usage and performance.

References:

• Anypoint Platform Control Plane
• Managing APIs with API Manager

To conduct performance testing in a non-production environment where rate limits are enforced, the most cost-effective approach is:

C. Create a Mocking service that replicates the back-end system's production performance characteristics. Then configure the API implementation to use the mocking service and conduct the performance test.

• Mocking Service: Develop a mock service that emulates the performance characteristics of the production back-end system. This service should mimic the response times, data formats, and any relevant behavior of the actual back-end system without imposing rate limits.
• Configuration: Modify the API implementation to route requests to the mocking service instead of the actual back-end system. This ensures that the performance tests are not impacted by the rate limits imposed in the non-production environment.
• Performance Testing: Conduct the performance tests using the API implementation configured with the mocking service. This approach allows you to assess the performance under expected production load conditions without being constrained by non-production rate limits.

This method ensures that performance testing is accurate and reflective of the production environment without additional costs or constraints due to rate limiting in staging environments.

References:

• MuleSoft Documentation: Mocking Services
• MuleSoft Documentation: Performance Testing

* Each Batch Job uses SEVERAL THREADS for the Batch Steps

* Each Batch Step instance receives ONE record at a time as the payload. It's not received in a block, as it does not wait for multiple records to be completed before moving to next batch step. (So Option D is out of choice)

* RECORDS are processed IN PARALLEL within and between the two Batch Steps.

* RECORDS are not processed in order. Let's say if second record completes batch_step_1 before record 1, then it moves to batch_step_2 before record 1. (So option C and D are out of choice)

* A batch job is the scope element in an application in which Mule processes a message payload as a batch of records. The term batch job is inclusive of all three phases of processing: Load and Dispatch, Process, and On Complete.

* A batch job instance is an occurrence in a Mule application whenever a Mule flow executes a batch job. Mule creates the batch job instance in the Load and Dispatch phase. Every batch job instance is identified internally using a unique String known as batch job instance id.

After completing the build and test activities for a Mule application that implements a System API, the team should use Runtime Manager to both deploy and monitor the System API implementation. Runtime Manager is a component of Anypoint Platform that provides capabilities for deploying, managing, and monitoring Mule applications and APIs. It allows teams to manage applications and APIs across various environments, ensuring they operate correctly and efficiently.

References:

• Anypoint Runtime Manager
• Deploying and Managing Applications with Runtime Manager

Explanation

* To send message or receive JMS (Java Message Service) message no separate network connection need to be established. So option A, C and D are ruled out.

Correct Answer: The JMS connector supports both sending and receiving of JMS messages over the protocol determined by the JMS provider.

* JMS Connector enables sending and receiving messages to queues and topics for any message service that implements the JMS specification.

* JMS is a widely used API for message-oriented middleware.

* It enables the communication between different components of a distributed application to be loosely coupled, reliable, and asynchronous.

MuleSoft Doc Reference: https://docs.mulesoft.com/jms-connector/1.7/

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To track the entire lifecycle of each request across different microservices, the DevOps team should consider adopting tracing. Distributed tracing allows teams to follow a request as it travels through the various microservices, providing visibility into how long each part of the request lifecycle takes and where any bottlenecks or failures occur. Tools like Zipkin, Jaeger, and AWS X-Ray are commonly used for this purpose. Tracing complements metrics and logging by providing detailed insights into the interactions and dependencies between services.

References:

• Distributed Tracing in Microservices
• What is Distributed Tracing?

In a hybrid, load-balanced, single cluster production environment running Mule applications in an active-active multi-node configuration, several considerations are critical for ensuring performance and reliability. The key consideration is the use of an external load balancer:

• Active-Active Multi-Node Cluster Configuration:
• External Load Balancer Requirement:
• Load Balancer Configuration:
• Mule Application Isolation:
• Handling Requests:
• Benefits:

References:

• MuleSoft Documentation on Mule Clustering
• Best Practices for Load Balancing