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

TopicDetails
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 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.
Topic 3
  • 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 4
  • Designing Automated Tests for Mule Applications: This topic covers unit test suites, and scenarios for integration and performance testing.
Topic 5
  • Designing Integration Solutions to Meet Performance Requirements: This topic covers meeting performance and capacity goals, using streaming features, and processing large message sequences.
Topic 6
  • 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 7
  • 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 8
  • 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.

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Salesforce Certified MuleSoft Integration Architect I Sample Questions (Q85-Q90):

NEW QUESTION # 85
An organization uses Mule runtimes which are managed by Anypoint Platform - Private Cloud Edition. What MuleSoft component is responsible for feeding analytics data to non-MuleSoft analytics platforms?

Answer: B

Explanation:
Correct answer is Anypoint Runtime Manager
MuleSoft Anypoint Runtime Manager (ARM) provides connectivity to Mule Runtime engines deployed across your organization to provide centralized management, monitoring and analytics reporting. However, most enterprise customers find it necessary for these on-premises runtimes to integrate with their existing non MuleSoft analytics / monitoring systems such as Splunk and ELK to support a single pane of glass view across the infrastructure.
* You can configure the Runtime Manager agent to export data to external analytics tools.
Using either the Runtime Manager cloud console or Anypoint Platform Private Cloud Edition, you can:
--> Send Mule event notifications, including flow executions and exceptions, to Splunk or ELK.
--> Send API Analytics to Splunk or ELK. Sending data to third-party tools is not supported for applications deployed on CloudHub.
You can use the CloudHub custom log appender to integrate with your logging system. Reference:
https://docs.mulesoft.com/runtime-manager/ https://docs.mulesoft.com/release-notes/runtime-manager-agent
/runtime-manager-agent-release-notes
Diagram Description automatically generated

Additional Info:
It can be achieved in 3 steps:
1) register an agent to a runtime manager,
2) configure a gateway to enable API analytics to be sent to non MuleSoft analytics platform (Splunk for ex.)
- as highlighted in the following diagram and
3) setup dashboards.
Diagram Description automatically generated


NEW QUESTION # 86
What requires configuration of both a key store and a trust store for an HTTP Listener?

Answer: B

Explanation:
1 way SSL : The server presents its certificate to the client and the client adds it to its list of trusted certificate. And so, the client can talk to the server.
2-way SSL: The same principle but both ways. i.e. both the client and the server has to establish trust between themselves using a trusted certificate. In this way of a digital handshake, the server needs to present a certificate to authenticate itself to client and client has to present its certificate to server.
* TLS is a cryptographic protocol that provides communications security for your Mule app.
* TLS offers many different ways of exchanging keys for authentication, encrypting data, and guaranteeing message integrity Keystores and Truststores Truststore and keystore contents differ depending on whether they are used for clients or servers:
For servers: the truststore contains certificates of the trusted clients, the keystore contains the private and public key of the server. For clients: the truststore contains certificates of the trusted servers, the keystore contains the private and public key of the client.
Adding both a keystore and a truststore to the configuration implements two-way TLS authentication also known as mutual authentication.
* in this case, correct answer is Support for TLS mutual (two-way) authentication with HTTP clients.


NEW QUESTION # 87
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?

Answer: C

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 # 88
An integration Mute application consumes and processes a list of rows from a CSV file. Each row must be read from the CSV file, validated, and the row data sent to a JMS queue, in the exact order as in the CSV file.
If any processing step for a row falls, then a log entry must be written for that row, but processing of other rows must not be affected.
What combination of Mute components is most idiomatic (used according to their intended purpose) when Implementing the above requirements?

Answer: A

Explanation:
* On Error Propagate halts execution and sends error to the client. In this scenario it's mentioned that
"processing of other rows must not be affected" so Option B and C are ruled out.
* Scatter gather is used to club multiple responses together before processing. In this scenario, we need sequential processing. So option A is out of choice.
* Correct answer is For Each scope & On Error Continue scope Below requirement can be fulfilled in the below way
1) Using For Each scope , which will send each row from csv file sequentially. each row needs to be sent sequentially as requirement is to send the message in exactly the same way as it is mentioned in the csv file
2) Also other part of requirement is if any processing step for a row fails then it should log an error but should not affect other record processing . This can be achieved using On error Continue scope on these set of activities. so that error will not halt the processing. Also logger needs to be added in error handling section so that it can be logged.
* Attaching diagram for reference. Here it's try scope, but similar would be the case with For Each loop.


NEW QUESTION # 89
What is an advantage of using OAuth 2.0 client credentials and access tokens over only API keys for API authentication?

Answer: A

Explanation:
The advantage of using OAuth 2.0 client credentials and access tokens over only API keys for API authentication is that if the access token is compromised, the client credentials do not have to be reissued.
OAuth 2.0 is a secure protocol for authenticating clients and authorizing them to access protected resources. It works by having the client authenticate with the authorization server and receive an access token, which is then used to authenticate requests to the API. If the access token is compromised, it can be revoked and replaced without needing to reissue the client credentials.
Reference:
Chapter 7: Security
Section 7.2: OAuth 2.0


NEW QUESTION # 90
......

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