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

Section	Objectives
Topic 1: API-led Connectivity and Integration Architecture	- System, Process, and Experience APIs design principles - API-led connectivity layers and responsibilities - Enterprise integration patterns
Topic 2: Data Transformation and Integration Patterns	- DataWeave transformation concepts - Batch processing and streaming integration - Error handling and retry strategies
Topic 3: API Management and Governance	- Lifecycle management and versioning strategies - Security policies (OAuth, client ID enforcement, JWT) - API Manager policies and enforcement
Topic 4: Security and Compliance	- Data protection and compliance considerations - Transport and message-level security - Identity and access management integration
Topic 5: Operations, Monitoring, and Troubleshooting	- Performance tuning and scalability considerations - Incident diagnosis and resolution strategies - Logging, monitoring, and alerting in Anypoint Monitoring
Topic 6: Anypoint Platform Architecture	- Anypoint Runtime Manager and deployment models - VPC, networking, and connectivity options - CloudHub and hybrid deployment architecture

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Salesforce Certified MuleSoft Integration Architect I Sample Questions (Q139-Q144):

NEW QUESTION # 139
An organization is evaluating using the CloudHub shared Load Balancer (SLB) vs creating a CloudHub dedicated load balancer (DLB). They are evaluating how this choice affects the various types of certificates used by CloudHub deplpoyed Mule applications, including MuleSoft-provided, customer-provided, or Mule application-provided certificates.
What type of restrictions exist on the types of certificates that can be exposed by the CloudHub Shared Load Balancer (SLB) to external web clients over the public internet?

A. Only underlying Mule application certificates are exposed (pass-through)
B. Only customer-provided self-signed certificates are exposed.
C. Only MuleSoft-provided certificates are exposed.
D. Only customer-provided wildcard certificates are exposed.

Answer: C

Explanation:
https://docs.mulesoft.com/runtime-manager/dedicated-load-balancer-tutorial

NEW QUESTION # 140
As a part of project requirement, Java Invoke static connector in a mule 4 application needs to invoke a static method in a dependency jar file. What are two ways to add the dependency to be visible by the connectors class loader?
(Choose two answers)

A. Add the dependency jar file to the java classpath by setting the JVM parameters
B. Use Maven command to include the dependency jar file when packaging the application
C. Configure the dependency as a shared library in the project POM
D. In the Java Invoke static connector configuration, configure a path and name of the dependency jar file
E. Update mule-artefact.json to export the Java package

Answer: A,C

NEW QUESTION # 141
An organization has an HTTPS-enabled Mule application named Orders API that receives requests from another Mule application named Process Orders.
The communication between these two Mule applications must be secured by TLS mutual authentication (two- way TLS).
At a minimum, what must be stored in each truststore and keystore of these two Mule applications to properly support two-way TLS between the two Mule applications while properly protecting each Mule application's keys?

A. Orders API truststore: The Process Orders public keyOrders API keystore: The Orders API private keyProcess Orders truststore: The Orders API public keyProcess Orders keystore: The Process Orders private key
B. Orders API truststore: The Orders API public keyProcess Orders keystore: The Process Orders private key and public key
C. Orders API truststore: The Orders API private key and public keyProcess Orders keystore: The Process Orders private key public key
D. Orders API truststore: The Process Orders public keyOrders API keystore: The Orders API private key and public keyProcess Orders truststore: The Orders API public keyProcess Orders keystore: The Process Orders private key and public key

Answer: D

Explanation:
Reference: https://www.caeliusconsulting.com/blogs/one-way-and-two-way-tls-and-their-implementation-in- mulesoft/

NEW QUESTION # 142
A high-volume eCommerce retailer receives thousands of orders per hour and requires notification of its order management, warehouse, and billing system for subsequent processing within 15 minutes of order submission through its website.
Which integration technology, when used for its typical and intended purpose, meets the retailer's requirements for this use case?

A. Enterprise Data Warehouse (EDW)
B. Managed File Transfer (MFT)
C. Publish/Subscriber Messaging Bus (Pub/Sub)
D. Extract Transform Load (ETL)

Answer: D

NEW QUESTION # 143
Refer to the exhibit.

A Mule application is deployed to a cluster of two customer-hosted Mute runtimes. The Mute application has a flow that polls a database and another flow with an HTTP Listener.
HTTP clients send HTTP requests directly to individual cluster nodes.
What happens to database polling and HTTP request handling in the time after the primary (master) node of the cluster has railed, but before that node is restarted?

A. Database polling stops All HTTP requests are rejected
B. Database polling continues Only HTTP requests sent to the remaining node continue to be accepted
C. Database polling stops All HTTP requests continue to be accepted
D. Database polling continues All HTTP requests continue to be accepted, but requests to the failed node Incur increased latency

Answer: B

Explanation:
Correct answer is Database polling continues Only HTTP requests sent to the remaining node continue to be accepted. : Architecture descripted in the question could be described as follows.When node 1 is down , DB polling will still continue via node 2 . Also requests which are coming directly to node 2 will also be accepted and processed in BAU fashion. Only thing that wont work is when requests are sent to Node 1 HTTP connector. The flaw with this architecture is HTTP clients are sending HTTP requests directly to individual cluster nodes. By default, clustering Mule runtime engines ensures high system availability. If a Mule runtime engine node becomes unavailable due to failure or planned downtime, another node in the cluster can assume the workload and continue to process existing events and messages

NEW QUESTION # 144
......

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