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

Topic
Details

Topic 1

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

Topic 2

Designing Integration Solutions to Meet Performance Requirements: This topic covers meeting performance and capacity goals, using streaming features, and processing large message sequences.

Topic 3

Designing Integration Solutions to Meet Reliability Requirements: It includes selecting alternatives to traditional transactions, recognizing the purpose of various scopes and strategies, differentiating disaster recovery and high availability, and using local and XA transactions.

Topic 4

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.

Topic 5

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.

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Salesforce Certified MuleSoft Integration Architect I Sample Questions (Q209-Q214):

NEW QUESTION # 209
An organization uses a set of customer-hosted Mule runtimes that are managed using the Mulesoft-hosted control plane. What is a condition that can be alerted on from Anypoint Runtime Manager without any custom components or custom coding?

A. When the Mute runtime license installed on a Mule runtime is about to expire
B. When a Mule runtime's customer-hosted server is about to run out of disk space
C. When an SSL certificate used by one of the deployed Mule applications is about to expire
D. When a Mule runtime on a given customer-hosted server is experiencing high memory consumption during certain periods

Answer: D

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

NEW QUESTION # 210
An integration Mule application is deployed to a customer-hosted multi-node Mule 4 runtime duster. The Mule application uses a Listener operation of a JMS connector to receive incoming messages from a JMS queue.
How are the messages consumed by the Mule application?

A. Depending on the Listener operation configuration, either all messages are consumed by ONLY the primary cluster node or else EACH message is consumed by ANY ONE cluster node
B. Regardless of the Listener operation configuration, all messages are consumed by ONLY the primary cluster node
C. Regardless of the Listener operation configuration, all messages are consumed by ALL cluster nodes
D. Depending on the JMS provider's configuration, either all messages are consumed by ONLY the primary cluster node or else ALL messages are consumed by ALL cluster nodes

Answer: A

Explanation:
Correct answer is Depending on the Listener operation configuration, either all messages are consumed by ONLY the primary cluster node or else EACH message is consumed by ANY ONE cluster node For applications running in clusters, you have to keep in mind the concept of primary node and how the connector will behave. When running in a cluster, the JMS listener default behavior will be to receive messages only in the primary node, no matter what kind of destination you are consuming from. In case of consuming messages from a Queue, you'll want to change this configuration to receive messages in all the nodes of the cluster, not just the primary.
This can be done with the primaryNodeOnly parameter:
<jms:listener config-ref="config" destination="${inputQueue}" primaryNodeOnly="false"/>

NEW QUESTION # 211
A new Mule application under development must implement extensive data transformation logic. Some of the data transformation functionality is already available as external transformation services that are mature and widely used across the organization; the rest is highly specific to the new Mule application.
The organization follows a rigorous testing approach, where every service and application must be extensively acceptance tested before it is allowed to go into production.
What is the best way to implement the data transformation logic for this new Mule application while minimizing the overall testing effort?

A. Extend the existing transformation services with new transformation logic and Invoke them from the new Mule application
B. Implement and expose all transformation logic as mlaoservices using DataWeave, so it can be reused by any application component that needs it, including the new Mule application
C. Implement transformation logic in the new Mute application using DataWeave, replicating the transformation logic of existing transformation services
D. Implement transformation logic in the new Mute application using DataWeave, invoking existing transformation services when possible

Answer: D

Explanation:
Correct answer is Implement transformation logic in the new Mule application using DataWeave, invoking existing transformation services when possible. * The key here minimal testing effort, "Extend existing transformation logic" is not a feasible option because additional functionality is highly specific to the new Mule application so it should not be a part of commonly used functionality. So this option is ruled out. *
"Implement transformation logic in the new Mule application using DataWeave, replicating the transformation logic of existing transformation services" Replicating the transformation logic of existing transformation services will cause duplicity of code. So this option is ruled out. * "Implement and expose all transformation logic as microservices using DataWeave, so it can be reused by any application component that needs it, including the new Mule application" as question specifies that the transformation is app specific and wont be used outside

NEW QUESTION # 212
A new upstream API Is being designed to offer an SLA of 500 ms median and 800 ms maximum (99th percentile) response time. The corresponding API implementation needs to sequentially invoke 3 downstream APIs of very similar complexity. The first of these downstream APIs offers the following SLA for its response time: median: 100 ms, 80th percentile: 500 ms, 95th percentile: 1000 ms. If possible, how can a timeout be set in the upstream API for the invocation of the first downstream API to meet the new upstream API's desired SLA?

A. Set a timeout of 50 ms; this times out more invocations of that API but gives additional room for retries
B. No timeout is possible to meet the upstream API's desired SLA; a different SLA must be negotiated with the first downstream API or invoke an alternative API
C. Do not set a timeout; the Invocation of this API Is mandatory and so we must wait until it responds
D. Set a timeout of 100 ms; that leaves 400 ms for the other two downstream APIs to complete

Answer: B

Explanation:
Before we answer this question , we need to understand what median (50th percentile) and 80th percentile means. If the 50th percentile (median) of a response time is 500ms that means that 50% of my transactions are either as fast or faster than 500ms.
If the 90th percentile of the same transaction is at 1000ms it means that 90% are as fast or faster and only 10% are slower. Now as per upstream SLA , 99th percentile is 800 ms which means 99% of the incoming requests should have response time less than or equal to 800 ms. But as per one of the backend API , their 95th percentile is 1000 ms which means that backend API will take 1000 ms or less than that for 95% of. requests. As there are three API invocation from upstream API , we can not conclude a timeout that can be set to meet the desired SLA as backend SLA's do not support it.
Let see why other answers are not correct.
1) Do not set a timeout --> This can potentially violate SLA's of upstream API
2) Set a timeout of 100 ms; ---> This will not work as backend API has 100 ms as median meaning only 50% requests will be answered in this time and we will get timeout for 50% of the requests. Important thing to note here is, All APIs need to be executed sequentially, so if you get timeout in first API, there is no use of going to second and third API. As a service provider you wouldn't want to keep 50% of your consumers dissatisfied. So not the best option to go with.
*To quote an example: Let's assume you have built an API to update customer contact details.
- First API is fetching customer number based on login credentials
- Second API is fetching Info in 1 table and returning unique key
- Third API, using unique key provided in second API as primary key, updating remaining details
* Now consider, if API times out in first API and can't fetch customer number, in this case, it's useless to call API 2 and 3 and that is why question mentions specifically that all APIs need to be executed sequentially.
3) Set a timeout of 50 ms --> Again not possible due to the same reason as above Hence correct answer is No timeout is possible to meet the upstream API's desired SLA; a different SLA must be negotiated with the first downstream API or invoke an alternative API

NEW QUESTION # 213
An organization is successfully using API led connectivity, however, as the application network grows, all the manually performed tasks to publish share and discover, register, apply policies to, and deploy an API are becoming repetitive pictures driving the organization to automate this process using efficient CI/'CD pipeline. Considering Anypoint platforms capabilities how should the organization approach automating is API lifecycle?

A. Use runtime manager rest apis for API management and mavenforAPI deployment
B. Use Anypoint CLI or Anypoint Platform REST apis with scripting language such as groovy
C. Use Maven with a custom configuration required for the API lifecycle
D. Use Exchange rest api's for API management and MavenforAPI deployment

Answer: D

NEW QUESTION # 214
......

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