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

Topic	Details
Topic 1	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 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.
Topic 3	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 4	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 5	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 6	Designing Integration Solutions to Meet Performance Requirements: This topic covers meeting performance and capacity goals, using streaming features, and processing large message sequences.
Topic 7	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 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.

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Salesforce Certified MuleSoft Integration Architect I Sample Questions (Q170-Q175):

NEW QUESTION # 170
What is true about the network connections when a Mule application uses a JMS connector to interact with a JMS provider (message broker)?

A. To complete sending a JMS message, the JMS connector must establish a network connection with the JMS message recipient
B. The AMQP protocol can be used by the JMS connector to portably establish connections to various types of JMS providers
C. To receive messages into the Mule application, the JMS provider initiates a network connection to the JMS connector and pushes messages along this connection
D. The JMS connector supports both sending and receiving of JMS messages over the protocol determined by the JMS provider

Answer: D

Explanation:
* To send message or receive JMS (Java Message Service) message no separate network connection need to be established. So option A, C and D are ruled out.
answer: The JMS connector supports both sending and receiving of JMS messages over the protocol determined by the JMS provider.
* JMS Connector enables sending and receiving messages to queues and topics for any message service that implements the JMS specification.
* JMS is a widely used API for message-oriented middleware.
* It enables the communication between different components of a distributed application to be loosely coupled, reliable, and asynchronous.
MuleSoft Doc Reference: https://docs.mulesoft.com/jms-connector/1.7/

Diagram, text Description automatically generated

NEW QUESTION # 171
A leading eCommerce giant will use MuleSoft APIs on Runtime Fabric (RTF) to process customer orders.
Some customer-sensitive information, such as credit card information, is required in request payloads or is included in response payloads in some of the APIs. Other API requests and responses are not authorized to access some of this customer-sensitive information but have been implemented to validate and transform based on the structure and format of this customer-sensitive information (such as account IDs, phone numbers, and postal codes).
What approach configures an API gateway to hide sensitive data exchanged between API consumers and API implementations, but can convert tokenized fields back to their original value for other API requests or responses, without having to recode the API implementations?
Later, the project team requires all API specifications to be augmented with an additional non-functional requirement (NFR) to protect the backend services from a high rate of requests, according to defined service- level agreements (SLAs). The NFR's SLAs are based on a new tiered subscription level "Gold", "Silver", or
"Platinum" that must be tied to a new parameter that is being added to the Accounts object in their enterprise data model.
Following MuleSoft's recommended best practices, how should the project team now convey the necessary non-functional requirement to stakeholders?

A. Create and deploy API proxies in API Manager for the NFR, change the baseurl in each API specification to the corresponding API proxy implementation endpoint, and publish each modified API specification to Exchange
B. Update each API specification with comments about the NFR's SLAs and publish each modified API specification to Exchange
C. Create a shared RAML fragment required to implement the NFR, list each API implementation endpoint in the RAML fragment, and publish the RAML fragment to Exchange
D. Update each API specification with a shared RAML fragment required to implement the NFR and publish the RAML fragment and each modified API specification to Exchange

Answer: D

Explanation:
To convey the necessary non-functional requirement (NFR) related to protecting backend services from a high rate of requests according to SLAs, the following steps should be taken:
* Create a Shared RAML Fragment: Develop a RAML fragment that defines the NFR, including the SLAs for different subscription levels ("Gold", "Silver", "Platinum"). This fragment should include the details on rate limiting and throttling based on the new parameter added to the Accounts object.
* Update API Specifications: Integrate the shared RAML fragment into each API specification. This ensures that the NFR is consistently applied across all relevant APIs.
* Publish to Exchange: Publish the updated API specifications and the shared RAML fragment to Anypoint Exchange. This makes the NFR visible and accessible to all stakeholders and developers, ensuring compliance and implementation consistency.
This approach ensures that the NFR is clearly communicated and applied uniformly across all API implementations.
References
* MuleSoft Documentation on RAML and API Specifications
* Best Practices for API Design and Documentation

NEW QUESTION # 172
An organization is designing a mule application to support an all or nothing transaction between serval database operations and some other connectors so that they all roll back if there is a problem with any of the connectors Besides the database connector , what other connector can be used in the transaction.

A. ObjectStore
B. VM
C. Anypoint MQ
D. SFTP

Answer: B

Explanation:
Correct answer is VM VM support Transactional Type. When an exception occur, The transaction rolls back to its original state for reprocessing. This feature is not supported by other connectors.
Here is additional information about Transaction management:

NEW QUESTION # 173
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 lookup call from Dataweave reduce operator
D. Call each API request in a separate Async scope

Answer: A

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

NEW QUESTION # 174
A company is building an application network and has deployed four Mule APIs: one experience API, one process API, and two system APIs. The logs from all the APIs are aggregated in an external log aggregation tool. The company wants to trace messages that are exchanged between multiple API implementations. What is the most idiomatic (based on its intended use) identifier that should be used to implement Mule event tracing across the multiple API implementations?

A. Client's IP address
B. Mule event ID
C. Mule correlation ID
D. DataWeave UUID

Answer: C

Explanation:
Correct answer is Mule correlation ID By design, Correlation Ids cannot be changed within a flow in Mule 4 applications and can be set only at source. This ID is part of the Event Context and is generated as soon as the message is received by the application. When a HTTP Request is received, the request is inspected for "X-Correlation-Id" header. If "X-Correlation-Id" header is present, HTTP connector uses this as the Correlation Id. If "X-Correlation-Id" header is NOT present, a Correlation Id is randomly generated. For Incoming HTTP Requests: In order to set a custom Correlation Id, the client invoking the HTTP request must set "X-Correlation-Id" header. This will ensure that the Mule Flow uses this Correlation Id. For Outgoing HTTP Requests: You can also propagate the existing Correlation Id to downstream APIs. By default, all outgoing HTTP Requests send "X-Correlation-Id" header. However, you can choose to set a different value to "X-Correlation-Id" header or set "Send Correlation Id" to NEVER.

NEW QUESTION # 175
......

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