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| Section | Weight | Objectives |
|---|---|---|
| Architecting and Deploying API Implementations | 11% | - Runtime architecture and deployment options - High availability and fault tolerance - CI/CD and DevOps integration - Networking and security configuration |
| Establishing Organizational and Platform Foundations | 17% | - Platform strategy and roadmap definition - Governance and organizational structure - Anypoint Platform architecture and components - Center for Enablement (C4E) operating model |
| Managing APIs | 12% | - API policies and security enforcement - Versioning and deprecation strategies - API lifecycle management - Rate limiting and throttling |
| 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 |
| Meeting API Quality Goals | 8% | - Performance and latency requirements - Maintainability and testability - Security and compliance standards - Reliability and availability targets |
| Applying Integration Patterns | 11% | - Common integration patterns and use cases - Scalability and performance patterns - Error handling and reliability patterns - Event-driven and synchronous integration |
| Monitoring and Analyzing Application Networks | 8% | - Logging and alerting configuration - Analytics and insight generation - Operational visibility and optimization - Monitoring strategies and tools |
| Deploying API Implementations to CloudHub | 11% | - CloudHub architecture and capabilities - Worker sizing and resource planning - Deployment optimization and scaling - VPC and private space configuration |
| Explaining Application Network Basics | 11% | - API-led connectivity principles - Core concepts of application networks - Benefits of modern API design |
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114. Frage
A retail company with thousands of stores has an API to receive data about purchases and insert it into a single database. Each individual store sends a batch of purchase data to the API about every 30 minutes. The API implementation uses a database bulk insert command to submit all the purchase data to a database using a custom JDBC driver provided by a data analytics solution provider. The API implementation is deployed to a single CloudHub worker. The JDBC driver processes the data into a set of several temporary disk files on the CloudHub worker, and then the data is sent to an analytics engine using a proprietary protocol. This process usually takes less than a few minutes. Sometimes a request fails. In this case, the logs show a message from the JDBC driver indicating an out-of-file-space message. When the request is resubmitted, it is successful. What is the best way to try to resolve this throughput issue?
Antwort: A
Begründung:
Correct Answe r: Increase the size of the CloudHub worker(s)
*****************************************
The key details that we can take out from the given scenario are:
>> API implementation uses a database bulk insert command to submit all the purchase data to a database
>> JDBC driver processes the data into a set of several temporary disk files on the CloudHub worker
>> Sometimes a request fails and the logs show a message indicating an out-of-file-space message Based on above details:
>> Both auto-scaling options does NOT help because we cannot set auto-scaling rules based on error messages. Auto-scaling rules are kicked-off based on CPU/Memory usages and not due to some given error or disk space issues.
>> Increasing the number of CloudHub workers also does NOT help here because the reason for the failure is not due to performance aspects w.r.t CPU or Memory. It is due to disk-space.
>> Moreover, the API is doing bulk insert to submit the received batch data. Which means, all data is handled by ONE worker only at a time. So, the disk space issue should be tackled on "per worker" basis. Having multiple workers does not help as the batch may still fail on any worker when disk is out of space on that particular worker.
Therefore, the right way to deal this issue and resolve this is to increase the vCore size of the worker so that a new worker with more disk space will be provisioned.
115. Frage
What best describes the Fully Qualified Domain Names (FQDNs), also known as DNS entries, created when a Mule application is deployed to the CloudHub Shared Worker Cloud?
Antwort: B
Begründung:
Correct Answe r: The FQDNs are determined by the application name chosen, IRRESPECTIVE of the region
*****************************************
>> When deploying applications to Shared Worker Cloud, the FQDN are always determined by application name chosen.
>> It does NOT matter what region the app is being deployed to.
>> Although it is fact and true that the generated FQDN will have the region included in it (Ex: exp-salesorder-api.au-s1.cloudhub.io), it does NOT mean that the same name can be used when deploying to another CloudHub region.
>> Application name should be universally unique irrespective of Region and Organization and solely determines the FQDN for Shared Load Balancers.
116. Frage
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?
Antwort: C
Begründung:
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.
117. Frage
To minimize operation costs, a customer wants to use a CloudHub 1.0 solution. The customer's requirements are:
* Separate resources with two Business groups
* High-availability (HA) for all APIs
* Route traffic via Dedicated load balancer (DLBs)
* Separate environments into production and non-production
Which solution meets the customer's needs?
Antwort: B
Begründung:
Understanding the Requirements:
Business Groups: The solution must support two business groups, which typically require separate VPCs for logical separation.
High Availability (HA): Requires deploying resources across multiple availability zones.
Dedicated Load Balancer (DLB): Traffic should be routed via DLBs, which operate within VPCs on CloudHub.
Separate Environments: There needs to be separation between production and non-production environments.
Evaluating the Options:
Option A: Using a single production and non-production VPC and differentiating business groups via availability zones is not ideal as it does not provide full separation for each business group, and using maximum CIDR allocation is wasteful.
Option B (Correct Answer): Creating separate production and non-production VPCs per business group with minimized CIDR blocks, multiple availability zones, and multiple workers per application for HA meets all requirements effectively.
Option C: While this option separates VPCs per business group, it does not fully address the requirement for HA across availability zones by specifying multi-zone deployment only during API deployment, which may not guarantee redundancy.
Option D: Configuring subnets to differentiate business groups within a single production and non-production VPC does not fully separate the business groups, which is a requirement.
Conclusion:
Option B is the best choice as it meets the requirements for high availability, business group separation, and cost efficiency by using minimized CIDR allocations and deploying multiple workers across availability zones.
For further reference, refer to MuleSoft's documentation on VPC configuration and high availability deployment strategies.
118. Frage
A Platform Architect inherits a legacy monolithic SOAP-based web service that performs a number of tasks, including showing all policies belonging to a client. The service connects to two back-end systems - a life-insurance administration system and a general-insurance administration system - and then queries for insurance policy information within each system, aggregates the results, and presents a SOAP-based response to a user interface (UI).
The architect wants to break up the monolithic web service to follow API-led conventions.
Which part of the service should be put into the process layer?
Antwort: C
119. Frage
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