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Free PDF 2025 Salesforce MuleSoft-Integration-Architect-I: Salesforce Certified MuleSoft Integration Architect I–Efficient Reliable Test Objectives

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

Topic
Details

Topic 1

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 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 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

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 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.

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

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.

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Salesforce Certified MuleSoft Integration Architect I Sample Questions (Q149-Q154):

NEW QUESTION # 149
Which key DevOps practice and associated Anypoint Platform component should a MuteSoft integration team adopt to improve delivery quality?

A. Manual testing with Anypoint Studio
B. Automated testing with MUnit
C. A Continuous design with API Designer
D. Passive monitoring with Anypoint Monitoring

Answer: B

NEW QUESTION # 150
When the mule application using VM is deployed to a customer-hosted cluster or multiple cloudhub workers, how are messages consumed by the Mule engine?

A. the primary only in order to avoid duplicate processing
B. in a deterministic way
C. by starting an XA transaction for each new message
D. in non-deterministic way

Answer: D

Explanation:
When a Mule application using VM (Virtual Machine) queues is deployed to a customer-hosted cluster or multiple CloudHub workers, the messages are consumed by the Mule engine in a non-deterministic way. Here' s an in-depth explanation:
* VM Queues Overview:
* VM queues in Mule applications are used for intra-application communication, allowing different flows within the same application to exchange messages.
* Deployment in Clusters or Multiple Workers:
* Customer-Hosted Cluster: In a customer-hosted cluster, multiple Mule runtime instances work together to process messages. Each instance can pick up messages from the VM queue.
* CloudHub Workers: When deployed on CloudHub, multiple worker instances can run the same Mule application, and each worker can access the VM queue.
* Non-Deterministic Message Consumption:
* Load Distribution: Messages are distributed among the available nodes or workers based on their availability. This means any node or worker that is ready to process a message can pick it up from the queue.
* No Guaranteed Order: Because any available node or worker can consume messages, the order in which messages are processed is not guaranteed, making the consumption non-deterministic.
* Parallel Processing: This approach allows for parallel processing of messages, which improves the scalability and throughput of the application.
* Advantages:
* Scalability: By allowing multiple nodes or workers to process messages, the system can handle increased load more effectively.
* Fault Tolerance: If one node or worker fails, other nodes/workers can continue processing messages from the VM queue, providing higher availability.
* Considerations:
* Idempotency: Ensure that the processing logic is idempotent, meaning that processing the same message more than once does not produce different outcomes. This is crucial in a non- deterministic consumption environment to avoid issues with data consistency.
* Transaction Management: Proper transaction management should be in place to handle scenarios where a message might need to be reprocessed due to errors.
References:
* MuleSoft Documentation on VM Connector
* MuleSoft Documentation on High Availability Clustering
* MuleSoft Documentation on Deploying to CloudHub

NEW QUESTION # 151
A banking company is developing a new set of APIs for its online business. One of the critical API's is a master lookup API which is a system API. This master lookup API uses persistent object store. This API will be used by all other APIs to provide master lookup data.

Master lookup API is deployed on two cloudhub workers of 0.1 vCore each because there is a lot of master data to be cached. Master lookup data is stored as a key value pair. The cache gets refreshed if they key is not found in the cache.
Doing performance testing it was observed that the Master lookup API has a higher response time due to database queries execution to fetch the master lookup data.
Due to this performance issue, go-live of the online business is on hold which could cause potential financial loss to Bank.
As an integration architect, which of the below option you would suggest to resolve performance issue?

A. Implement HTTP caching policy for all GET endpoints for the master lookup API and implement locking to synchronize access to object store
B. Add an additional Cloudhub worker to provide additional capacity
C. Implement HTTP caching policy for all GET endpoints for master lookup API
D. Upgrade vCore size from 0.1 vCore to 0,2 vCore

Answer: A

NEW QUESTION # 152
A large life sciences customer plans to use the Mule Tracing module with the Mapped Diagnostic Context (MDC) logging operations to enrich logging in its Mule application and to improve tracking by providing more context in the Mule application logs. The customer also wants to improve throughput and lower the message processing latency in its Mule application flows.
After installing the Mule Tracing module in the Mule application, how should logging be performed in flows in Mule applications, and what should be changed In the log4j2.xml files?

A. In the flows, add Mule Tracing module Set logging variable operations before any Core Logger components.
In log4j2.xml files, change the appender's pattern layout to use %MDC and then assign the appender to a Logger or Root element.
B. In the flows, wrap Logger components in Async scopes. In log4j2.xmI files, change the appender's pattern layout to use the %asyncLogger placeholder and then assign the appender to a Logger or Root element.
C. In the flows, add Mule Tracing module Set logging variable operations before any Core Logger components.
In log4j2.xmI files, change the appender''s pattern layout to use %asyncLogger placeholder and then assign the appender to an AsyncLogger element.
D. In the flows, add Mule Tracing module Set logging variable operations before any Core Logger components.
In log4j2.xmI files, change the appender's pattern layout to use the %MDC placeholder and then assign the appender to an AsyncLogger element.

Answer: A

NEW QUESTION # 153
An organization's security requirements mandate centralized control at all times over authentication and authorization of external applications when invoking web APIs managed on Anypoint Platform.
What Anypoint Platform feature is most idiomatic (used for its intended purpose), straightforward, and maintainable to use to meet this requirement?

A. Client management configured in access management
B. External access configured in API Manager
C. Enterprise Security module coded in Mule applications
D. Identity management configured in access management

Answer: A

NEW QUESTION # 154
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