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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	Designing Automated Tests for Mule Applications: This topic covers unit test suites, and scenarios for integration and performance testing.
Topic 3	Designing Integration Solutions to Meet Performance Requirements: This topic covers meeting performance and capacity goals, using streaming features, and processing large message sequences.
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 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.

Salesforce Certified MuleSoft Integration Architect I Sample Questions (Q163-Q168):

NEW QUESTION # 163
A company is designing an integration Mule application to process orders by submitting them to a back-end system for offline processing. Each order will be received by the Mule application through an HTTP5 POST and must be acknowledged immediately.
Once acknowledged the order will be submitted to a back-end system. Orders that cannot be successfully submitted due to the rejections from the back-end system will need to be processed manually (outside the banking system).
The mule application will be deployed to a customer hosted runtime and will be able to use an existing ActiveMQ broker if needed. The ActiveMQ broker is located inside the organization's firewall. The back-end system has a track record of unreliability due to both minor network connectivity issues and longer outages.
Which combination of Mule application components and ActiveMQ queues are required to ensure automatic submission of orders to the back-end system while supporting but minimizing manual order processing?

A. One or more on-Error scopes to assist calling the back-end system one or more ActiveMQ long-retry queues A persistent dead-letter Object store configuration in the CloudHub object store service
B. One or more On Error scopes to assist calling the back-end system An Untill successful scope containing VM components for long retries A persistent dead-letter VM queue configure in Cloud hub
C. A batch job scope to call the back in system An Untill successful scope containing Object Store components for long retries. A dead-letter object store configured in the Mule application
D. An Until Successful scope to call the back-end system One or more ActiveMQ long-retry queues One or more ActiveMQ dead-letter queues for manual processing

Answer: D

Explanation:
* To design an integration Mule application that processes orders and ensures reliability even with an unreliable back-end system, the following components and ActiveMQ queues should be used:
* Until Successful Scope: This scope ensures that the Mule application will continue trying to submit the order to the back-end system until it succeeds or reaches a specified retry limit. This helps in handling transient network issues or minor outages of the back-end system.
* ActiveMQ Long-Retry Queues: By placing the orders in long-retry queues, the application can manage retries over an extended period. This is particularly useful when the back-end system experiences longer outages. The ActiveMQ broker, located within the organization's firewall, can reliably handle these queues.
* ActiveMQ Dead-Letter Queues: Orders that cannot be successfully submitted after all retry attempts should be moved to dead-letter queues. This allows for manual processing of these orders. The dead- letter queue ensures that no orders are lost and provides a clear mechanism for handling failed submissions.
Implementation Steps:
* HTTP Listener: Set up an HTTP listener to receive incoming orders.
* Immediate Acknowledgment: Immediately acknowledge the receipt of the order to the client.
* Until Successful Scope: Use the Until Successful scope to attempt submitting the order to the back-end system. Configure retry intervals and limits.
* Long-Retry Queues: Configure ActiveMQ long-retry queues to manage retries.
* Dead-Letter Queues: Set up ActiveMQ dead-letter queues for orders that fail after maximum retry attempts, allowing for manual intervention.
This approach ensures that the system can handle temporary and prolonged back-end outages while minimizing manual processing.
References:
* MuleSoft Documentation on Until Successful Scope: https://docs.mulesoft.com/mule-runtime/4.3/until- successful-scope
* ActiveMQ Documentation: https://activemq.apache.org/

NEW QUESTION # 164
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. Use a MuleSoft Scatter-Gather and a MuleSoft Batch Job to handle the different files coming from different sources
B. 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
C. 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
D. Use a composite data source so files can be retrieved from various sources and delivered to a MuleSoft Batch Job for processing

Answer: C

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.

NEW QUESTION # 165
An organization's IT team must secure all of the internal APIs within an integration solution by using an API proxy to apply required authentication and authorization policies.
Which integration technology, when used for its intended purpose, should the team choose to meet these requirements if all other relevant factors are equal?

A. Integration Platform-as-a-service (PaaS)
B. Robotic Process Automation (RPA)
C. Electronic Data Interchange (EDI)
D. API Management (APIM)

Answer: D

Explanation:
To secure all internal APIs within an integration solution by using an API proxy to apply required authentication and authorization policies, the organization should use API Management (APIM). APIM provides a comprehensive platform to manage, secure, and analyze APIs. It allows the IT team to create API proxies, enforce security policies, control access through authentication and authorization mechanisms, and monitor API usage.
Using APIM for this purpose ensures that internal APIs are protected with standardized security policies, facilitating centralized management and governance of API traffic. This approach is specifically designed for managing APIs and their security, making it the most suitable choice among the options provided.
References
* MuleSoft Documentation on API Management
* Best Practices for API Security and Governance

NEW QUESTION # 166
An organization plans to extend its Mule APIs to the EU (Frankfurt) region.
Currently, all Mule applications are deployed to CloudHub 1.0 in the default North American region, from the North America control plane, following this naming convention: {API-name}-{environment} (for example, Orderssapi-dev, Orders-sapi--qa, Orders-sapi--prod, etc.).
There is no network restriction to block communications between APIs.
What strategy should be implemented in order to deploy the same Mule APIs to the CloudHub 1.0 EU region from the North America control plane, as well as to minimize latency between APIs and target users and systems in Europe?

A. In API Manager, set the Region property to EU (Frankfurt) to create an API proxy named {API-name}
-proxy-{environment} for each Mule application.
Communicate the new url {API-name}-proxy-{environment}.de-c1.cloudhub.io to the consuming API clients In Europe.
B. In API Manager, leave the Region property blank (default) to deploy an API proxy named {API-name}
~proxy~- (environment}.de-cl for each Mule application.
Communicate the new url {API-name}-proxy-{environment}.de-cl.cloudhub.io to the consuming API clients in Europe.
C. In Runtime Manager, for each Mule application deployment, leave the Region property blank (default) and change the Mule application name to {API-name}-
{environment).de-cl.
Communicate the new urls {API-name}-{environment}.de-ci1.cloudhub.io to the consuming API clients in Europe.
D. In Runtime Manager, for each Mule application deployment, set the Region property to EU (Frankfurt) and reuse the same Mule application mame as in the North American region.
Communicate the new urls {API-name}-{environment}.de-ci.cloudhub.io to the consuming API clients In Europe.

Answer: D

Explanation:
To extend Mule APIs to the EU (Frankfurt) region and minimize latency for European users, follow these steps:
* Set Region Property: In Runtime Manager, for each Mule application deployment, set the Region property to EU (Frankfurt). This deploys the application to the desired region, optimizing performance for European users.
* Reuse Application Names: Keep the same Mule application names as used in the North American region. This approach maintains consistency and simplifies management.
* Communicate New URLs: Inform the consuming API clients in Europe of the new URLs in the format
{API-name}-{environment}.de-ci.cloudhub.io. These URLs will direct the clients to the applications deployed in the EU region, ensuring reduced latency and improved performance.
This strategy effectively deploys the same Mule APIs to the CloudHub EU region, leveraging the existing control plane in North America.

NEW QUESTION # 167
An Organization has previously provisioned its own AWS VPC hosting various servers. The organization now needs to use Cloudhub to host a Mule application that will implement a REST API once deployed to Cloudhub, this Mule application must be able to communicate securely with the customer-provisioned AWS VPC resources within the same region, without being interceptable on the public internet.
What Anypoint Platform features should be used to meet these network communication requirements between Cloudhub and the existing customer-provisioned AWS VPC?

A. Add a default API Whitelisting policy to API Manager to automatically whitelist the customer provisioned AWS VPC IP ranges needed by the Mule applicaton
B. Configure an external identity provider (IDP) in Anypoint Platform with certificates from the customer provisioned AWS VPC
C. Add a Mulesoft hosted Anypoint VPC configured and with VPC Peering to the AWS VPC
D. Use VM queues in the Mule application to allow any non-mule assets within the customer provisioned AWS VPC to subscribed to and receive messages

Answer: C

Explanation:
Correct answer is: Add a Mulesoft hosted Anypoint VPC configured and with VPC Peering to the AWS VPC * Connecting to your Anypoint VPC extends your corporate network and allows CloudHub workers to access resources behind your corporate firewall.
* You can connect on-premises data centers through a secured VPN tunnel, or a private AWS VPC through VPC peering, or by using AWS Direct Connect.
MuleSoft Doc Reference : https://docs.mulesoft.com/runtime-manager/virtual-private-cloud

NEW QUESTION # 168
......

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TEST MULESOFT-INTEGRATION-ARCHITECT-I BOOK - RELIABLE MULESOFT-INTEGRATION-ARCHITECT-I EXAM TESTKING

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