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

Topic	Details
Topic 1	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 2	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 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 Automated Tests for Mule Applications: This topic covers unit test suites, and scenarios for integration and performance testing.
Topic 5	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 6	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 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 Performance Requirements: This topic covers meeting performance and capacity goals, using streaming features, and processing large message sequences.
Topic 9	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.

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Salesforce Certified MuleSoft Integration Architect I Sample Questions (Q271-Q276):

NEW QUESTION # 271
What requirement prevents using Anypoint MQ as the messaging broker for a Mule application?

A. When the payload sent through the message broker must use XML format
B. When the payload sent through the message broker must be encrypted
C. When the messaging broker must be deployed on-premises
D. When the messaging broker must support point-to-point messaging

Answer: A

NEW QUESTION # 272
Which Salesforce API is invoked to deploy, retrieve, create or delete customization information such as custom object definitions using a Mule Salesforce connector in a Mule application?

A. Metadata API
B. REST API
C. Bulk API
D. SOAP API

Answer: A

Explanation:
* urpose of Metadata API:
* The Metadata API is specifically designed to manage customization and configuration data in Salesforce. It allows users to deploy, retrieve, create, update, or delete customization information such as custom object definitions, page layouts, and more.
* Use in MuleSoft:
* When using the Mule Salesforce connector in a Mule application, invoking the Metadata API enables you to programmatically manage and deploy Salesforce metadata. This is essential for tasks such as deploying new custom objects, updating existing configurations, or deleting obsolete customizations.
* Why Not Other APIs:
* REST API: Primarily used for accessing Salesforce data and interacting with standard and custom objects.
* SOAP API: Similar to REST API but uses SOAP protocol; also mainly for data access and manipulation.
* Bulk API: Designed for handling large volumes of data for insert, update, delete operations but not for metadata management.
References:
* Salesforce Metadata API Overview: Salesforce Metadata API
* MuleSoft Documentation on Salesforce Connector

NEW QUESTION # 273
Refer to the exhibit.

An organization uses a 2-node Mute runtime cluster to host one stateless API implementation. The API is accessed over HTTPS through a load balancer that uses round-robin for load distribution.
Two additional nodes have been added to the cluster and the load balancer has been configured to recognize the new nodes with no other change to the load balancer.
What average performance change is guaranteed to happen, assuming all cluster nodes are fully operational?

A. 100% increase in the throughput of the API
B. 50% reduction In the JVM heap memory consumed by each node
C. 50% reduction in the response time of the API
D. 50% reduction In the number of requests being received by each node

Answer: D

NEW QUESTION # 274
Refer to the exhibit.

The HTTP Listener and the Logger are being handled from which thread pools respectively?

A. UBER and NONBLOCKING
B. Shared Selector Pool and CPU LITE
C. BLOCKING _IO and UBER
D. CPU_INTENSIVE and Dedicated Selector pool

Answer: B

NEW QUESTION # 275
When a Mule application using VM queues is deployed to a customer-hosted cluster or multiple CloudHub v1.
0 workers/replicas, how are messages consumed across the nodes?

A. Round-robin, within an XA transaction
B. Sequentially, from a dedicated Anypoint MQ queue
C. Sequentially, only from the primary node
D. In a non-deterministic way

Answer: D

Explanation:
When a Mule application using VM queues is deployed to a customer-hosted cluster or multiple CloudHub v1.
0 workers/replicas, messages are consumed in a non-deterministic way. This means that any of the nodes in the cluster or any of the workers can consume the messages from the VM queues, but there is no guaranteed order or specific pattern (such as round-robin or sequential processing).
This non-deterministic message consumption helps in distributing the load and handling messages more efficiently across multiple nodes or workers, improving the scalability and reliability of the application.
References
* MuleSoft Documentation on VM Queues and Clustering
* Best Practices for Deploying Mule Applications in Clusters

NEW QUESTION # 276
......

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