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

Topic
Details

Topic 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.

Topic 2

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 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

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.

Salesforce Certified MuleSoft Integration Architect I Sample Questions (Q151-Q156):

NEW QUESTION # 151
What metrics about API invocations are available for visualization in custom charts using Anypoint Analytics?

A. Request size, request HTTP verbs, response time
B. Request size, number of requests, JDBC Select operation result set size
C. Request size, number of requests, response size, response time
D. Request size, number of requests, JDBC Select operation response time

Answer: C

Explanation:
Correct answer is Request size, number of requests, response size, response time Analytics API Analytics can provide insight into how your APIs are being used and how they are performing. From API Manager, you can access the Analytics dashboard, create a custom dashboard, create and manage charts, and create reports.
From API Manager, you can get following types of analytics: - API viewing analytics - API events analytics - Charted metrics in API Manager It can be accessed using: http://anypoint.mulesoft.com/analytics API Analytics provides a summary in chart form of requests, top apps, and latency for a particular duration.
The custom dashboard in Anypoint Analytics contains a set of charts for a single API or for all APIs Each chart displays various API characteristics
- Requests size: Line chart representing size of requests in KBs
- Requests : Line chart representing number of requests over a period
- Response size : Line chart representing size of response in KBs
- Response time :Line chart representing response time in ms
* To check this, You can go to API Manager > Analytics > Custom Dashboard > Edit Dashboard > Create Chart > Metric Graphical user interface, chart Description automatically generated

NEW QUESTION # 152
A developer needs to discover which API specifications have been created within the organization before starting a new project.
Which Anypoint Platform component can the developer use to find and try out the currently released API specifications?

A. Runtime Manager
B. Object Store
C. Anypoint Exchange
D. API Manager

Answer: C

Explanation:
To discover which API specifications have been created within the organization before starting a new project, a developer can use Anypoint Exchange. Anypoint Exchange is a centralized repository on the Anypoint Platform where developers can find, share, and collaborate on API specifications, connectors, templates, and other reusable assets.
In Anypoint Exchange, developers can browse the currently released API specifications, try them out using the built-in testing tools, and access documentation and other resources. This facilitates the reuse of existing APIs and ensures that the new project aligns with the organization's API strategy.
References
* MuleSoft Documentation on Anypoint Exchange
* Best Practices for API Reuse and Discovery

NEW QUESTION # 153
A mule application designed to fulfil two requirements
a) Processing files are synchronously from an FTPS server to a back-end database using VM intermediary queues for load balancing VM events b) Processing a medium rate of records from a source to a target system using batch job scope Considering the processing reliability requirements for FTPS files, how should VM queues be configured for processing files as well as for the batch job scope if the application is deployed to Cloudhub workers?

A. Use VM connector persistent queues for FTPS file processing Disable VM queue for the batch job scope
B. Use Cloud hub persistent VM queue for FTPS file processingThere is no need to configure VM queues for the batch jobs scope as it uses by default the worker's JVM memory for VM queueing
C. Use Cloud hub persistent VM queues for FTPS file processingDisable VM queue for the batch job scope
D. Use Cloud hub persistent queues for FTPS files processingThere is no need to configure VM queues for the batch jobs scope as it uses by default the worker's disc for VM queueing

Answer: D

Explanation:
When processing files synchronously from an FTPS server to a back-end database using VM intermediary queues for load balancing VM events on CloudHub, reliability is critical. CloudHub persistent queues should be used for FTPS file processing to ensure that no data is lost in case of worker failure or restarts. These queues provide durability and reliability since they store messages persistently.
For the batch job scope, it is not necessary to configure additional VM queues. By default, batch jobs on CloudHub use the worker's disk for VM queueing, which is reliable for handling medium-rate records processing from a source to a target system. This approach ensures that both FTPS file processing and batch job processing meet reliability requirements without additional configuration for batch job scope.
References
* MuleSoft Documentation on CloudHub and VM Queues
* Anypoint Platform Best Practices

NEW QUESTION # 154
An organization plans to migrate all its Mule applications to Runtime Fabric (RTF). Currently, all Mule applications have been deployed to CloudHub using automated CI/CD scripts.
What steps should be taken to properly migrate the applications from CloudHub to RTF, while keeping the same automated CI/CD deployment strategy?

A. A runtimefabric dependency should be added as a mule-plugin to the pom.xml file in all the Mule applications.
B. - The pom.xml and Mule configuration YAML files can remain unchanged in each Mule application.A
--runtimeFabric command-line parameter should be added to the CI/CD deployment scripts
C. A runtimefFabricDeployment profile should be added to Mule configuration properties YAML files in all the Mule applications.CI/CD scripts must be modified to use the new configuration properties.
D. runtimeFabric command-line parameter should be added to the CI/CD deployment scripts.
E. runtimefabricDeployment profile should be added to the pom.xml file in all the Mule applications. CI
/CD scripts must be modified to use the new RTF profile.

Answer: E

Explanation:
To migrate Mule applications from CloudHub to Runtime Fabric (RTF) while maintaining the same automated CI/CD deployment strategy, follow these steps:
* Add runtimefabricDeployment Profile: Add a runtimefabricDeployment profile to the pom.xml file in all Mule applications. This profile will include the necessary configurations specific to RTF deployments.
* Modify CI/CD Scripts: Update the CI/CD deployment scripts to use the new runtimefabricDeployment profile. This modification ensures that the deployment process will correctly reference the RTF-specific configurations when deploying applications.
* Keep Configuration Files Unchanged: There is no need to change the pom.xml and Mule configuration YAML files other than adding the runtimefabricDeployment profile. This maintains consistency and reduces the risk of errors during the migration.
This approach ensures a smooth transition to RTF while leveraging existing CI/CD scripts with minimal changes, maintaining the automated deployment strategy.
References
* MuleSoft Documentation on Runtime Fabric Deployment
* Best Practices for CI/CD with MuleSoft

NEW QUESTION # 155
An IT integration tram followed an API-led connectivity approach to implement an order-fulfillment business process. It created an order processing AP that coordinates stateful interactions with a variety of microservices that validate, create, and fulfill new product orders Which interaction composition pattern did the integration architect who designed this order processing AP| use?

A. Orchestration
B. Multicasting
C. Aggregation
D. Streaming

Answer: A

Explanation:
The interaction composition pattern used by the integration architect for the order processing API that coordinates stateful interactions with various microservices is called orchestration. Orchestration involves managing and coordinating multiple services to achieve a specific business process or workflow. In this case, the order processing API is responsible for validating, creating, and fulfilling new product orders by coordinating interactions with different microservices.
Orchestration provides a centralized control mechanism where the order processing API acts as the orchestrator, handling the sequence of service calls, managing state, and ensuring that the business process is executed correctly.
References
* MuleSoft API-led Connectivity Approach
* Patterns for Microservices and API Design

NEW QUESTION # 156
......

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