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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 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 3

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 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.

Topic 5

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 6

Initiating Integration Solutions on Anypoint Platform: Summarizing MuleSoft Catalyst and Catalyst Knowledge Hub, differentiating between functional and non-functional requirements, selecting features for designing and managing APIs, and choosing deployment options are its sub-topics.

Topic 7

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

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Salesforce Certified MuleSoft Integration Architect I Sample Questions (Q223-Q228):

NEW QUESTION # 223
An external API frequently invokes an Employees System API to fetch employee data from a MySQL database. The architect must design a caching strategy to query the database only when there Is an update to the Employees table or else return a cached response in order to minimize the number of redundant transactions being handled by the database.

A. Use an On Table Row operation configured with the Employees table, call invalidate cache, and hardcode the new Employees data to cache. Use an object-store-caching-strategy and set the expiration interval to 1 hour.
B. Use a Scheduler with a fixed frequency set to every hour to trigger an invalidate cache flow. Use an object-store-caching-strategy and the default expiration interval.
C. Use a Scheduler with a fixed frequency set to every hour, triggering an invalidate cache flow. Use an object-store-caching-strategy and set the expiration interval to 1 hour.
D. Use an On Table Row operation configured with the Employees table and cail invalidate cache. Use an object-store-caching-strategy and the default expiration interval.

Answer: A

NEW QUESTION # 224
An organization is designing Mule application which connects to a legacy backend. It has been reported that backend services are not highly available and experience downtime quite often. As an integration architect which of the below approach you would propose to achieve high reliability goals?

A. On Error Continue scope to be used to call in case of error again
B. Until Successful scope can be implemented while calling backend API's
C. Create a batch job with all requests being sent to backend using that job as per the availability of backend API's
D. Alerts can be configured in Mule runtime so that backend team can be communicated when services are down

Answer: B

Explanation:
Correct answer is Untill Successful scope can be implemented while calling backend API's The Until Successful scope repeatedly triggers the scope's components (including flow references) until they all succeed or until a maximum number of retries is exceeded The scope provides option to control the max number of retries and the interval between retries The scope can execute any sequence of processors that may fail for whatever reason and may succeed upon retry

NEW QUESTION # 225
An integration team follows MuleSoft's recommended approach to full lifecycle API development.
Which activity should this team perform during the API implementation phase?

A. Design the API specification
B. Use the API specification to monitor the MuleSoft application
C. Validate the API specification
D. Use the API specification to build the MuleSoft application

Answer: D

Explanation:
During the API implementation phase, the integration team should use the API specification to build the MuleSoft application. This involves leveraging the defined API contract to guide the development of the API' s actual implementation. By adhering to the specification, developers ensure that the API meets the agreed- upon requirements and behaviors. This phase includes coding, integrating with backend systems, and ensuring that the implementation aligns with the design and functional requirements outlined in the API specification.
References:
* API-led Connectivity Best Practices
* API Lifecycle Management

NEW QUESTION # 226
A manufacturing company plans to deploy Mule applications to its own
Azure Kubernetes service infrastructure.The organization wants to make
the Mule applications more available and robust by deploying each Mule
application to an isolated Mule runtime in a Docker container while
managing all the Mule applications from the MuleSoft-hosted control plane.
What choice of runtime plane meets these organizational requirements?

A. Anypoint Service Mesh
B. Anypoint Runtime Fabric
C. Customer-hosted self-provisioned runtime plane
D. CloudHub 2.0

Answer: B

Explanation:
Anypoint Runtime Fabric is the appropriate choice for deploying Mule applications in an isolated Mule runtime within Docker containers on an Azure Kubernetes Service (AKS) infrastructure. This solution provides a containerized and orchestrated environment managed from the MuleSoft-hosted control plane. It enhances the availability, scalability, and robustness of Mule applications by allowing fine-grained control over deployments and providing built-in support for high availability and fault tolerance.
References:
* Anypoint Runtime Fabric Overview
* Deploying Mule Applications to Kubernetes

NEW QUESTION # 227
What aspects of a CI/CD pipeline for Mule applications can be automated using MuleSoft-provided Maven plugins?

A. Compile, package, unit test, deploy, create associated API instances in API Manager
B. Import from API designer, compile, package, unit test, deploy, publish to Anypoint Exchange
C. Compile, package, unit test, validate unit test coverage, deploy
D. Compile, package, unit test, deploy, integration test (Incorrect)

Answer: C

Explanation:
Correct answer is "Compile, package, unit test, validate unit test coverage, deploy" : Anypoint Platform supports continuous integration and continuous delivery using industry standard tools Mule Maven Plugin The Mule Maven plugin can automate building, packaging and deployment of Mule applications from source projects Using the Mule Maven plugin, you can automate your Mule application deployment to CloudHub, to Anypoint Runtime Fabric, or on-premises, using any of the following deployment strategies * CloudHub deployment * Runtime Fabric deployment * Runtime Manager REST API deployment * Runtime Manager agent deployment MUnit Maven Plugin The MUnit Maven plugin can automate test execution, and ties in with the Mule Maven plugin. It provides a full suite of integration and unit test capabilities, and is fully integrated with Maven and Surefire for integration with your continuous deployment environment. Since MUnit 2.x, the coverage report goal is integrated with the maven reporting section. Coverage Reports are generated during Maven's site lifecycle, during the coverage-report goal. One of the features of MUnit Coverage is to fail the build if a certain coverage level is not reached. MUnit is not used for integration testing Also publishing to Anypoint Exchange or to create associated API instances in API Manager is not a part of CICD pipeline which can ne achieved using mulesoft provided maven plugin Architecture mentioned in the question can be diagrammatically put as below. Persistent Object Store is the correct answer .
* Mule Object Stores: An object store is a facility for storing objects in or across Mule applications. Mule uses object stores to persist data for eventual retrieval.
Mule provides two types of object stores:
1) In-memory store - stores objects in local Mule runtime memory. Objects are lost on shutdown of the Mule runtime. So we cant use in memory store in our scenario as we want to share watermark within all cloudhub workers
2) Persistent store - Mule persists data when an object store is explicitly configured to be persistent. Hence this watermark will be available even any of the worker goes down

NEW QUESTION # 228
......

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Neil Bell Neil Bell

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