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Salesforce MuleSoft-Integration-Architect-I Exam Syllabus Topics:

Topic
Details

Topic 1

Applying DevOps Practices and Operating Integration Solutions: Its sub-topics are related to designing CI
CD pipelines with MuleSoft plugins, automating interactions with Anypoint Platform, designing logging configurations, and identifying Anypoint Monitoring features.

Topic 2

Designing Architecture Using Integration Paradigms: This topic focuses on creating high-level integration architectures using various paradigms. It includes API-led connectivity, web APIs and HTTP, event-driven APIs, and message brokers, and designing Mule application using messaging patterns and technologies.

Topic 3

Designing Automated Tests for Mule Applications: This topic covers unit test suites, and scenarios for integration and performance testing.

Topic 4

Designing Integration Solutions to Meet Persistence Requirements: It addresses the usage of VM queues and connectors, object stores and services, and stateful components configured with object stores.

Topic 5

Designing and Developing Mule Applications: It includes selecting application properties, using fundamental features, designing with core routers, understanding the Salesforce Connector, and leveraging core connectors.

Topic 6

Designing for the Runtime Plane Technology Architecture: It includes analyzing Mule runtime clusters, designing solutions for CloudHub, choosing Mule runtime domains, leveraging Mule 4 class loader isolation, and understanding the reactive event processing model.

Salesforce Certified MuleSoft Integration Architect I Sample Questions (Q110-Q115):

NEW QUESTION # 110
A Kubernetes controller automatically adds another pod replica to the resource pool in response to increased application load.
Which scalability option is the controller implementing?

A. Horizontal
B. Vertical
C. Down
D. Diagonal

Answer: A

Explanation:
The Kubernetes controller is implementing horizontal scalability by adding another pod replica in response to increased application load. Horizontal scaling involves adding more instances of a service or application to handle the increased load, as opposed to vertical scaling, which would involve adding more resources (CPU, RAM) to a single instance. Horizontal scaling is a key feature of cloud-native applications and is supported by Kubernetes to ensure high availability and performance.
References:
* Kubernetes Horizontal Pod Autoscaling
* Understanding Horizontal vs. Vertical Scaling

NEW QUESTION # 111
An Organization has previously provisioned its own AWS VPC hosting various servers. The organization now needs to use Cloudhub to host a Mule application that will implement a REST API once deployed to Cloudhub, this Mule application must be able to communicate securely with the customer-provisioned AWS VPC resources within the same region, without being interceptable on the public internet.
What Anypoint Platform features should be used to meet these network communication requirements between Cloudhub and the existing customer-provisioned AWS VPC?

A. Add a Mulesoft hosted Anypoint VPC configured and with VPC Peering to the AWS VPC
B. Configure an external identity provider (IDP) in Anypoint Platform with certificates from the customer provisioned AWS VPC
C. Add a default API Whitelisting policy to API Manager to automatically whitelist the customer provisioned AWS VPC IP ranges needed by the Mule applicaton
D. Use VM queues in the Mule application to allow any non-mule assets within the customer provisioned AWS VPC to subscribed to and receive messages

Answer: A

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

NEW QUESTION # 112
When a Mule application using VM queues is deployed to a customer-hosted cluster or multiple CloudHub v1.
0 workers/replicas, how are messages consumed across the nodes?

A. Sequentially, from a dedicated Anypoint MQ queue
B. In a non-deterministic way
C. Round-robin, within an XA transaction
D. Sequentially, only from the primary node

Answer: B

Explanation:
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

NEW QUESTION # 113
An ABC Farms project team is planning to build a new API that is required to work with data from different domains across the organization.
The organization has a policy that all project teams should leverage existing investments by reusing existing APIs and related resources and documentation that other project teams have already developed and deployed.
To support reuse, where on Anypoint Platform should the project team go to discover and read existing APIs, discover related resources and documentation, and interact with mocked versions of those APIs?

A. Anypoint Exchange
B. Design Center
C. API Manager
D. Runtime Manager

Answer: A

Explanation:
The mocking service is a feature of Anypoint Platform and runs continuously. You can run the mocking service from the text editor, the visual editor, and from Anypoint Exchange. You can simulate calls to the API in API Designer before publishing the API specification to Exchange or in Exchange after publishing the API specification.

NEW QUESTION # 114
An XA transaction Is being configured that involves a JMS connector listening for Incoming JMS messages. What is the meaning of the timeout attribute of the XA transaction, and what happens after the timeout expires?

A. The time that Is allowed to pass between receiving JMS messages on the same JMS connection After the timeout, a new JMS connection Is established
B. The time that Is allowed to pass without the transaction being ended explicitly After the timeout, the transaction Is forcefully rolled-back
C. The time that is allowed to pass between committing the transaction and the completion of the Mule flow After the timeout, flow processing triggers an error
D. The time that Is allowed to pass for state JMS consumer threads to be destroyed After the timeout, a new JMS consumer thread is created

Answer: B

Explanation:
* Setting a transaction timeout for the Bitronix transaction manager
* Set the transaction timeout either
- In wrapper.conf
- In CloudHub in the Properties tab of the Mule application deployment
* The default is 60 secs. It is defined as
mule.bitronix.transactiontimeout = 120
* This property defines the timeout for each transaction created for this manager.
If the transaction has not terminated before the timeout expires it will be automatically rolled back.
--------------------------------------------------------------------------------------------------------------------- Additional Info around Transaction Management:
Bitronix is available as the XA transaction manager for Mule applications
* To use Bitronix, declare it as a global configuration element in the Mule application
<bti:transaction-manager />
* Each Mule runtime can have only one instance of a Bitronix transaction manager, which is shared by all Mule applications
* For customer-hosted deployments, define the XA transaction manager in a Mule domain
- Then share this global element among all Mule applications in the Mule runtime

NEW QUESTION # 115
......

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