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| Section | Weight | Objectives |
|---|---|---|
| Integration Architecture & Solution Design | 25% | - Integration styles and patterns - Hybrid and multi-cloud integration - Interface and data technology selection |
| Operations, Monitoring & Lifecycle Management | 10% | - CI/CD and DevOps practices - Performance tuning and troubleshooting - Monitoring and logging strategies |
| Anypoint Platform Architecture & Deployment | 20% | - High availability and scalability design - CloudHub, VPC, and customer-hosted deployment - Control plane and runtime plane options |
| Security & Governance | 15% | - Policies, encryption, and compliance - Identity and access management - Authentication and authorization |
| API-Led Connectivity Design | 30% | - Reusability and asset governance - API-led connectivity strategy - Experience, Process, and System API design |
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NEW QUESTION # 70
What is not true about Mule Domain Project?
Answer: B
Explanation:
* Mule Domain Project is ONLY available for customer-hosted Mule runtimes, but not for Anypoint Runtime Fabric
* Mule domain project is available for Hybrid and Private Cloud (PCE). Rest all provide application isolation and can't support domain project.
What is Mule Domain Project?
* A Mule Domain Project is implemented to configure the resources that are shared among different projects. These resources can be used by all the projects associated with this domain. Mule applications can be associated with only one domain, but a domain can be associated with multiple projects. Shared resources allow multiple development teams to work in parallel using the same set of reusable connectors. Defining these connectors as shared resources at the domain level allows the team to: - Expose multiple services within the domain through the same port. - Share the connection to persistent storage. - Share services between apps through a well-defined interface. - Ensure consistency between apps upon any changes because the configuration is only set in one place.
* Use domains Project to share the same host and port among multiple projects. You can declare the http connector within a domain project and associate the domain project with other projects. Doing this also allows to control thread settings, keystore configurations, time outs for all the requests made within multiple applications. You may think that one can also achieve this by duplicating the http connector configuration across all the applications. But, doing this may pose a nightmare if you have to make a change and redeploy all the applications.
* If you use connector configuration in the domain and let all the applications use the new domain instead of a default domain, you will maintain only one copy of the http connector configuration. Any changes will require only the domain to the redeployed instead of all the applications.
You can start using domains in only three steps:
1) Create a Mule Domain project
2) Create the global connector configurations which needs to be shared across the applications inside the Mule Domain project
3) Modify the value of domain in mule-deploy.properties file of the applications
NEW QUESTION # 71
A new Mule application under development must implement extensive data transformation logic. Some of the data transformation functionality is already available as external transformation services that are mature and widely used across the organization; the rest is highly specific to the new Mule application.
The organization follows a rigorous testing approach, where every service and application must be extensively acceptance tested before it is allowed to go into production.
What is the best way to implement the data transformation logic for this new Mule application while minimizing the overall testing effort?
Answer: C
Explanation:
Correct answer is Implement transformation logic in the new Mule application using DataWeave, invoking existing transformation services when possible. * The key here minimal testing effort, "Extend existing transformation logic" is not a feasible option because additional functionality is highly specific to the new Mule application so it should not be a part of commonly used functionality. So this option is ruled out. * "Implement transformation logic in the new Mule application using DataWeave, replicating the transformation logic of existing transformation services" Replicating the transformation logic of existing transformation services will cause duplicity of code. So this option is ruled out. * "Implement and expose all transformation logic as microservices using DataWeave, so it can be reused by any application component that needs it, including the new Mule application" as question specifies that the transformation is app specific and wont be used outside
NEW QUESTION # 72
Organization wants to achieve high availability goal for Mule applications in customer hosted runtime plane. Due to the complexity involved, data cannot be shared among of different instances of same Mule application. What option best suits to this requirement considering high availability is very much critical to the organization?
Answer: D
Explanation:
High availability is about up-time of your application
A) High availability can be achieved only in CloudHub isn't correct statement. It can be achieved in customer hosted runtime planes as well B) An object store is a facility for storing objects in or across Mule applications. Mule runtime engine (Mule) uses object stores to persist data for eventual retrieval. It can be used for disaster recovery but not for High Availability. Using object store can't guarantee that all instances won't go down at once. So not an appropriate choice.
Reference:
C) High availability can be achieved by below two models for on-premise MuleSoft implementations.
1) Mule Clustering - Where multiple Mule servers are available within the same cluster environment and the routing of requests will be done by the load balancer. A cluster is a set of up to eight servers that act as a single deployment target and high-availability processing unit. Application instances in a cluster are aware of each other, share common information, and synchronize statuses. If one server fails, another server takes over processing applications. A cluster can run multiple applications. ( refer left half of the diagram) In given scenario, it's mentioned that 'data cannot be shared among of different instances'. So this is not a correct choice.
2) Load balanced standalone Mule instances - The high availability can be achieved even without cluster, with the usage of third party load balancer pointing requests to different Mule servers. This approach does not share or synchronize data between Mule runtimes. Also high availability achieved as load balanced algorithms can be implemented using external load balancer. ( refer right half of the diagram)
NEW QUESTION # 73
Which Anypoint Platform component helps integration developers discovers and share reusable APIs, connectors, and templates?
Answer: A
NEW QUESTION # 74
A company wants its users to log in to Anypoint Platform using the company's own internal user credentials.
To achieve this, the company needs to integrate an external identity provider (IdP) with the company's Anypoint Platform master organization, but SAML 2.0 CANNOT be used. Besides SAML 2.0, what single-sign-on standard can the company use to integrate the IdP with their Anypoint Platform master organization?
Answer: B
Explanation:
As the Anypoint Platform organization administrator, you can configure identity management in Anypoint Platform to set up users for single sign-on (SSO).
Configure identity management using one of the following single sign-on standards:
1) OpenID Connect: End user identity verification by an authorization server including SSO
2) SAML 2.0: Web-based authorization including cross-domain SSO
NEW QUESTION # 75
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