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MuleSoft-Integration-Architect-I Fragen Und Antworten, MuleSoft-Integration-Architect-I Lerntipps

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Salesforce MuleSoft-Integration-Architect-I Prüfungsplan:

Thema
Einzelheiten

Thema 1

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.

Thema 2

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.

Thema 3

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.

Thema 4

Designing Integration Solutions to Meet Security Requirements: This topic emphasizes securing access to the Anypoint Platform and APIs, using Anypoint Security, counteracting security vulnerabilities, and understanding audit logging capabilities.

Thema 5

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

Thema 6

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.

Thema 7

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.

Thema 8

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

>> MuleSoft-Integration-Architect-I Fragen Und Antworten <<

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Salesforce Certified MuleSoft Integration Architect I MuleSoft-Integration-Architect-I Prüfungsfragen mit Lösungen (Q205-Q210):

205. Frage
A stock trading company handles millions of trades a day and requires excellent performance and reliability within its stock trading system. The company operates a number of event-driven APIs Implemented as Mule applications that are hosted on various customer-hosted Mule clusters and needs to enable message exchanges between the APIs within their internal network using shared message queues.
What is an effective way to meet the cross-cluster messaging requirements of its event-driven APIs?

A. Persistent VM queues with automatic acknowledgements
B. Non-transactional JMS operations with a reliability pattern and manual acknowledgements
C. JMS transactions with automatic acknowledgements
D. extended Architecture (XA) transactions and XA connected components with manual acknowledgements

Antwort: C

Begründung:
* JMS (Java Message Service): JMS is a robust messaging standard that supports reliable and asynchronous communication. It allows message producers and consumers to exchange messages via a common message broker.
* Transactions with Automatic Acknowledgements: Utilizing JMS transactions ensures that messages are processed reliably. The automatic acknowledgement mode means that once the consumer receives the message, it acknowledges the broker automatically, ensuring that no messages are lost.
* Performance and Reliability: JMS transactions offer both high performance and reliability. By enabling transactions, each message processing step can be committed or rolled back, ensuring data integrity.
* Cross-Cluster Messaging: For a stock trading company dealing with millions of trades, using JMS transactions allows for consistent and reliable message delivery across different clusters in their network. This approach is more suitable compared to non-transactional or VM queues due to the scale and reliability requirements.
* Event-Driven APIs: The APIs can leverage the transactional nature of JMS to ensure that messages exchanged between different services are reliable and can recover gracefully from failures.
References:
* MuleSoft Documentation on JMS Connector: MuleSoft JMS Connector
* JMS 2.0 Specification: Oracle JMS 2.0

206. Frage
Anypoint Exchange is required to maintain the source code of some of the assets committed to it, such as Connectors, Templates, and API specifications.
What is the best way to use an organization's source-code management (SCM) system in this context?

A. Organizations need to use Anypoint Exchange as the main SCM system to centralize versioning and avoid code duplication
B. Organizations need to point Anypoint Exchange to their SCM system so Anypoint Exchange can pull source code when requested by developers and provide it to Anypoint Studio
C. Organizations can continue to use an SCM system of their choice for branching and merging, as long as they follow the branching and merging strategy enforced by Anypoint Exchange
D. Organizations should continue to use an SCM system of their choice, in addition to keeping source code for these asset types in Anypoint Exchange, thereby enabling parallel development, branching, and merging

Antwort: A

Begründung:
* Organization should continue to use SCM system of their choice, in addition to keeping source code for these asset types in Anypoint Exchange, thereby enabling parallel development, branching.
* Reason is that Anypoint exchange is not full fledged version repositories like GitHub.
* But at same time it is tightly coupled with Mule assets

207. Frage
Mule application is deployed to Customer Hosted Runtime. Asynchronous logging was implemented to improved throughput of the system. But it was observed over the period of time that few of the important exception log messages which were used to rollback transactions are not working as expected causing huge loss to the Organization. Organization wants to avoid these losses. Application also has constraints due to which they cant compromise on throughput much. What is the possible option in this case?

A. Logging needs to be changed from asynchronous to synchronous
B. Mixed configuration of asynchronous or synchronous loggers should be used to log exceptions via synchronous way
C. Persistent memory storage should be used in such scenarios
D. External log appender needs to be used in this case

Antwort: B

Begründung:
Correct approach is to use Mixed configuration of asynchronous or synchronous loggers shoud be used to log exceptions via synchronous way Asynchronous logging poses a performance-reliability trade-off. You may lose some messages if Mule crashes before the logging buffers flush to the disk. In this case, consider that you can have a mixed configuration of asynchronous or synchronous loggers in your app. Best practice is to use asynchronous logging over synchronous with a minimum logging level of WARN for a production application. In some cases, enable INFO logging level when you need to confirm events such as successful policy installation or to perform troubleshooting. Configure your logging strategy by editing your application's src/main/resources/log4j2.xml file

208. Frage
A mule application is being designed to perform product orchestration. The Mule application needs to join together the responses from an inventory API and a Product Sales History API with the least latency.
To minimize the overall latency. What is the most idiomatic (used for its intended purpose) design to call each API request in the Mule application?

A. Call each API request in a separate route of a Scatter-Gather
B. Call each API request in a separate route of a Parallel For Each scope
C. Call each API request in a separate Async scope
D. Call each API request in a separate lookup call from Dataweave reduce operator

Antwort: A

Begründung:
Scatter-Gather sends a request message to multiple targets concurrently. It collects the responses from all routes, and aggregates them into a single message.

209. Frage
An organization currently uses a multi-node Mule runtime deployment model within their datacenter, so each Mule runtime hosts several Mule applications. The organization is planning to transition to a deployment model based on Docker containers in a Kubernetes cluster. The organization has already created a standard Docker image containing a Mule runtime and all required dependencies (including a JVM), but excluding the Mule application itself.
What is an expected outcome of this transition to container-based Mule application deployments?

A. Guaranteed consistency of execution environments across all deployments of a Mule application
B. Required change to the URL endpoints used by clients to send requests to the Mule applications
C. Required redesign of Mule applications to follow microservice architecture principles
D. Required migration to the Docker and Kubernetes-based Anypoint Platform - Private Cloud Edition

Antwort: C

Begründung:
* Organization can continue using existing load balancer even if backend application changes are there. So option A is ruled out.
* As Mule runtime is within their datacenter, this model is RTF and not PCE. So option C is ruled out.
Mule runtime deployment model within their datacenter, so each Mule runtime hosts several Mule applications -- This mean PCE or Hybird not RTF - Also mentioned in Question is that - Mule runtime is hosting several Mule Application, so that also rules out RTF and as for hosting multiple Application it will have Domain project which need redesign to make it microservice architecture
--------------------------------------------------------------------------------------------------------------- Correct answer: Required redesign of Mule applications to follow microservice

210. Frage
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