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MuleSoft-Integration-Architect-I Latest Exam Review | MuleSoft-Integration-Architect-I Related Exams
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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
- Designing Automated Tests for Mule Applications: This topic covers unit test suites, and scenarios for integration and performance testing.
Topic 3
- 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 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 Performance Requirements: This topic covers meeting performance and capacity goals, using streaming features, and processing large message sequences.
Topic 6
- 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 7
- 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 8
- 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 9
- 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.
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Salesforce Certified MuleSoft Integration Architect I Sample Questions (Q154-Q159):
NEW QUESTION # 154
An integration Mute application consumes and processes a list of rows from a CSV file. Each row must be read from the CSV file, validated, and the row data sent to a JMS queue, in the exact order as in the CSV file.
If any processing step for a row falls, then a log entry must be written for that row, but processing of other rows must not be affected.
What combination of Mute components is most idiomatic (used according to their intended purpose) when Implementing the above requirements?
- A. Scatter-Gather component On Error Continue scope
- B. Async scope On Error Propagate scope
- C. For Each scope On Error Continue scope
- D. VM connector first Successful scope On Error Propagate scope
Answer: C
Explanation:
* On Error Propagate halts execution and sends error to the client. In this scenario it's mentioned that
"processing of other rows must not be affected" so Option B and C are ruled out.
* Scatter gather is used to club multiple responses together before processing. In this scenario, we need sequential processing. So option A is out of choice.
* Correct answer is For Each scope & On Error Continue scope Below requirement can be fulfilled in the below way
1) Using For Each scope , which will send each row from csv file sequentially. each row needs to be sent sequentially as requirement is to send the message in exactly the same way as it is mentioned in the csv file
2) Also other part of requirement is if any processing step for a row fails then it should log an error but should not affect other record processing . This can be achieved using On error Continue scope on these set of activities. so that error will not halt the processing. Also logger needs to be added in error handling section so that it can be logged.
* Attaching diagram for reference. Here it's try scope, but similar would be the case with For Each loop.
Diagram Description automatically generated
NEW QUESTION # 155
What aspect of logging is only possible for Mule applications deployed to customer-hosted Mule runtimes, but NOT for Mule applications deployed to CloudHub?
- A. To send Mule application log entries to Splunk
- B. To log certain messages to a custom log category
- C. To change tog4j2 tog levels in Anypoint Runtime Manager without having to restart the Mule application
- D. To directly reference one shared and customized log4j2.xml file from multiple Mule applications
Answer: D
Explanation:
* Correct answer is To directly reference one shared and customized log4j2.xml file from multiple Mule applications. Key word to note in the answer is directly.
* By default, CloudHub replaces a Mule application's log4j2.xml file with a CloudHub log4j2.xml file. This specifies the CloudHub appender to write logs to the CloudHub logging service.
* You cannot modify CloudHub log4j2.xml file to add any custom appender. But there is a process in order to achieve this. You need to raise a request on support portal to disable CloudHub provided Mule application log4j2 file.
* Once this is done , Mule application's log4j2.xml file is used which you can use to send/export application logs to other log4j2 appenders, such as a custom logging system MuleSoft does not own any responsibility for lost logging data due to misconfiguration of your own log4j appender if it happens by any chance.
* One more difference between customer-hosted Mule runtimes and CloudHub deployed mule instance is that
- CloudHub system log messages cannot be sent to external log management system without installing custom CH logging configuration through support
- where as Customer-hosted runtime can send system and application log to external log management system MuleSoft Reference:
https://docs.mulesoft.com/runtime-manager/viewing-log-data
https://docs.mulesoft.com/runtime-manager/custom-log-appender
NEW QUESTION # 156
An organization's security policies mandate complete control of the login credentials used to log in to Anypoint Platform. What feature of Anypoint Platform should be used to meet this requirement?
- A. Client ID Secret
- B. Federated Client Management
- C. Federated Identity Management
- D. Enterprise Security Module
Answer: C
Explanation:
Correct answer is Federated Identity Management As the Anypoint Platform organization administrator, you can configure identity management in Anypoint Platform to set up users for single sign-on (SSO). Configure identity management using one of the following single sign-on standards: OpenID Connect: End user identity verification by an authorization server including SSO SAML 2.0: Web-based authorization including cross- domain SSO Where as Client Management is where Anypoint Platform acts as a client provider by default, but you can also configure external client providers to authorize client applications. As an API owner, you can apply an OAuth 2.0 policy to authorize client applications that try to access your API. You need an OAuth 2.0 provider to use an OAuth 2.0 policy
NEW QUESTION # 157
An organization has implemented the cluster with two customer hosted Mule runtimes is hosting an application.
This application has a flow with a JMS listener configured to consume messages from a queue destination. As an integration architect can you advise which JMS listener configuration must be used to receive messages in all the nodes of the cluster?
- A. Use the parameter primaryNodeOnly= "true" on the JMS listener with a nonshared subscription
- B. Use the parameter primaryNodeOnly= "true" on the JMS listener
- C. Use the parameter primaryNodeOnly= "false" on the JMS listener with a shared subscription
- D. Use the parameter primaryNodeOnly= "false" on the JMS listener
Answer: C
Explanation:
In a clustered Mule runtime environment, when using a JMS listener to consume messages from a queue destination, it is essential to ensure that messages are appropriately received by all nodes in the cluster. The configuration must support high availability and scalability. Here's why option B is correct:
* primaryNodeOnly="false": Setting this parameter to "false" ensures that the JMS listener is active on all nodes in the cluster, not just the primary node. This setting allows multiple instances of the JMS listener to run concurrently across different nodes, enabling them to consume messages from the JMS queue.
* Shared Subscription: Using a shared subscription means that all nodes will share the consumption of messages from the queue. This approach prevents duplicate message processing, as each message is delivered to only one listener instance within the cluster. This configuration ensures that message processing is balanced across the nodes, improving throughput and reliability.
To configure the JMS listener in Mule, the XML configuration might look something like this:
xml
<jms:listener config-ref="JMS_Config" destination="queueName" primaryNodeOnly="false" subscriptionType="Shared"/> This setup ensures that all nodes in the cluster are involved in message processing, leveraging the high availability and load balancing capabilities of the cluster.
References
* MuleSoft Documentation on JMS Listener
* MuleSoft Clustering Guide
NEW QUESTION # 158
Refer to the exhibit.
A business process involves the receipt of a file from an external vendor over SFTP. The file needs to be parsed and its content processed, validated, and ultimately persisted to a database. The delivery mechanism is expected to change in the future as more vendors send similar files using other mechanisms such as file transfer or HTTP POST.
What is the most effective way to design for these requirements in order to minimize the impact of future change?
- A. Create a Process API to receive the file and process it using a MuleSoft Batch Job while delegating the data save process to a System API
- B. Use a composite data source so files can be retrieved from various sources and delivered to a MuleSoft Batch Job for processing
- C. Use a MuleSoft Scatter-Gather and a MuleSoft Batch Job to handle the different files coming from different sources
- D. Create an API that receives the file and invokes a Process API with the data contained In the file, then have the Process API process the data using a MuleSoft Batch Job and other System APIs as needed
Answer: D
Explanation:
* Scatter-Gather is used for parallel processing, to improve performance. In this scenario, input files are coming from different vendors so mostly at different times. Goal here is to minimize the impact of future change. So scatter Gather is not the correct choice.
* If we use 1 API to receive all files from different Vendors, any new vendor addition will need changes to that 1 API to accommodate new requirements. So Option A and C are also ruled out.
* Correct answer is Create an API that receives the file and invokes a Process API with the data contained in the file, then have the Process API process the data using a MuleSoft Batch Job and other System APIs as needed. Answer to this question lies in the API led connectivity approach.
* API-led connectivity is a methodical way to connect data to applications through a series of reusable and purposeful modern APIs that are each developed to play a specific role - unlock data from systems, compose data into processes, or deliver an experience. System API : System API tier, which provides consistent, managed, and secure access to backend systems. Process APIs : Process APIs take core assets and combines them with some business logic to create a higher level of value. Experience APIs : These are designed specifically for consumption by a specific end-user app or device.
So in case of any future plans , organization can only add experience API on addition of new Vendors, which reuse the already existing process API. It will keep impact minimal.
Diagram Description automatically generated
NEW QUESTION # 159
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