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| Section | Weight | Objectives |
|---|---|---|
| Deploying API Implementations to CloudHub | 11% | - Deployment optimization and scaling - Worker sizing and resource planning - CloudHub architecture and capabilities - VPC and private space configuration |
| Managing APIs | 12% | - API lifecycle management - API policies and security enforcement - Versioning and deprecation strategies - Rate limiting and throttling |
| Monitoring and Analyzing Application Networks | 8% | - Logging and alerting configuration - Monitoring strategies and tools - Analytics and insight generation - Operational visibility and optimization |
| Explaining Application Network Basics | 11% | - API-led connectivity principles - Core concepts of application networks - Benefits of modern API design |
| Designing and Sharing APIs | 11% | - API design standards and best practices - API specification and documentation - Asset sharing and reuse via Anypoint Exchange - API layering: Experience, Process, System APIs |
| Establishing Organizational and Platform Foundations | 17% | - Anypoint Platform architecture and components - Platform strategy and roadmap definition - Center for Enablement (C4E) operating model - Governance and organizational structure |
| Meeting API Quality Goals | 8% | - Security and compliance standards - Performance and latency requirements - Reliability and availability targets - Maintainability and testability |
| Applying Integration Patterns | 11% | - Scalability and performance patterns - Error handling and reliability patterns - Common integration patterns and use cases - Event-driven and synchronous integration |
| Architecting and Deploying API Implementations | 11% | - Runtime architecture and deployment options - CI/CD and DevOps integration - High availability and fault tolerance - Networking and security configuration |
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NEW QUESTION # 68
In an organization, the InfoSec team is investigating Anypoint Platform related data traffic.
From where does most of the data available to Anypoint Platform for monitoring and alerting originate?
Answer: C
Explanation:
Correct Answe r: From the Mule runtime irrespective of the deployment model
*****************************************
>> Monitoring and Alerting metrics are always originated from Mule Runtimes irrespective of the deployment model.
>> It may seems that some metrics (Runtime Manager) are originated from Mule Runtime and some are (API Invocations/ API Analytics) from API Manager. However, this is realistically NOT TRUE. The reason is, API manager is just a management tool for API instances but all policies upon applying on APIs eventually gets executed on Mule Runtimes only (Either Embedded or API Proxy).
>> Similarly all API Implementations also run on Mule Runtimes.
So, most of the day required for monitoring and alerts are originated fron Mule Runtimes only irrespective of whether the deployment model is MuleSoft-hosted or Customer-hosted or Hybrid.
NEW QUESTION # 69
An organization wants MuleSoft-hosted runtime plane features (such as HTTP load balancing, zero downtime, and horizontal and vertical scaling) in its Azure environment. What runtime plane minimizes the organization's effort to achieve these features?
Answer: B
Explanation:
Correct Answe r: Anypoint Runtime Fabric
*****************************************
>> When a customer is already having an Azure environment, It is not at all an ideal approach to go with hybrid model having some Mule Runtimes hosted on Azure and some on MuleSoft. This is unnecessary and useless.
>> CloudHub is a Mulesoft-hosted Runtime plane and is on AWS. We cannot customize to point CloudHub to customer's Azure environment.
>> Anypoint Platform for Pivotal Cloud Foundry is specifically for infrastructure provided by Pivotal Cloud Foundry
>> Anypoint Runtime Fabric is right answer as it is a container service that automates the deployment and orchestration of Mule applications and API gateways. Runtime Fabric runs within a customer-managed infrastructure on AWS, Azure, virtual machines (VMs), and bare-metal servers.
-Some of the capabilities of Anypoint Runtime Fabric include:
-Isolation between applications by running a separate Mule runtime per application.
-Ability to run multiple versions of Mule runtime on the same set of resources.
-Scaling applications across multiple replicas.
-Automated application fail-over.
-Application management with Anypoint Runtime Manager.
NEW QUESTION # 70
A company has created a successful enterprise data model (EDM). The company is committed to building an application network by adopting modern APIs as a core enabler of the company's IT operating model. At what API tiers (experience, process, system) should the company require reusing the EDM when designing modern API data models?
Answer: A
Explanation:
Correct Answe r: At the process and system tiers
*****************************************
>> Experience Layer APIs are modeled and designed exclusively for the end user's experience. So, the data models of experience layer vary based on the nature and type of such API consumer. For example, Mobile consumers will need light-weight data models to transfer with ease on the wire, where as web-based consumers will need detailed data models to render most of the info on web pages, so on. So, enterprise data models fit for the purpose of canonical models but not of good use for experience APIs.
>> That is why, EDMs should be used extensively in process and system tiers but NOT in experience tier.
NEW QUESTION # 71
An organization wants to create a Center for Enablement (C4E). The IT director schedules a series of meetings with IT senior managers.
What should be on the agenda of the first meeting?
Answer: C
Explanation:
In the initial meeting for establishing a Center for Enablement (C4E), it's essential to lay the foundational vision, objectives, and guiding principles for the team. Here's why this is crucial:
Clear Vision and Mission:
Defining the mission statement and objectives at the start ensures alignment within the organization and clarifies the C4E's role in supporting API-led development and integration practices.
Guiding Principles:
Establishing guiding principles will help the C4E maintain consistent practices and strategies across projects. This serves as a framework for decisions and fosters shared understanding among IT leaders and stakeholders.
of Correct Answer (A):
By prioritizing the C4E's objectives and mission, the organization builds a solid foundation, paving the way for subsequent meetings focused on technical standards, processes, and operating models.
of Incorrect Options:
Option B (API monetization) and Option C (common services best practices) are specific topics better suited for later discussions.
Option D (specifying the operating model) is an important step but typically follows the establishment of the C4E's objectives and vision.
Reference
For more on C4E objectives and foundational setup, refer to MuleSoft's documentation on establishing a C4E and the roles and mission statements recommended for such initiatives.
NEW QUESTION # 72
An API has been updated in Anypoint exchange by its API producer from version 3.1.1 to 3.2.0 following accepted semantic versioning practices and the changes have been communicated via the APIs public portal. The API endpoint does NOT change in the new version. How should the developer of an API client respond to this change?
Answer: A
NEW QUESTION # 73
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