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| Section | Weight | Objectives |
|---|---|---|
| Managing APIs | 12% | - API policies and security enforcement - Rate limiting and throttling - Versioning and deprecation strategies - API lifecycle management |
| Establishing Organizational and Platform Foundations | 17% | - Governance and organizational structure - Anypoint Platform architecture and components - Platform strategy and roadmap definition - Center for Enablement (C4E) operating model |
| Architecting and Deploying API Implementations | 11% | - Networking and security configuration - Runtime architecture and deployment options - High availability and fault tolerance - CI/CD and DevOps integration |
| Meeting API Quality Goals | 8% | - Reliability and availability targets - Performance and latency requirements - Maintainability and testability - Security and compliance standards |
| Deploying API Implementations to CloudHub | 11% | - CloudHub architecture and capabilities - Worker sizing and resource planning - Deployment optimization and scaling - VPC and private space configuration |
| Designing and Sharing APIs | 11% | - API layering: Experience, Process, System APIs - API specification and documentation - API design standards and best practices - Asset sharing and reuse via Anypoint Exchange |
| Applying Integration Patterns | 11% | - Error handling and reliability patterns - Common integration patterns and use cases - Event-driven and synchronous integration - Scalability and performance patterns |
| Monitoring and Analyzing Application Networks | 8% | - Monitoring strategies and tools - Operational visibility and optimization - Analytics and insight generation - Logging and alerting configuration |
| Explaining Application Network Basics | 11% | - Benefits of modern API design - API-led connectivity principles - Core concepts of application networks |
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NEW QUESTION # 88
Which component monitors APIs and endpoints at scheduled intervals, receives reports about whether tests pass or fail, and displays statistics about API and endpoint performance?
Answer: B
Explanation:
Understanding API Functional Monitoring:
API Functional Monitoring is a feature within MuleSoft's Anypoint Platform that enables users to monitor the health and performance of APIs and endpoints by running functional tests at scheduled intervals.
It checks whether APIs are functioning as expected by running test calls and then evaluating if the response meets the desired conditions. This is particularly useful for testing endpoint availability, checking for specific data in responses, and measuring API performance over time.
Component Features:
Scheduled Intervals: Functional monitoring allows configuring tests to run at regular intervals, such as every minute, hour, or day, depending on the monitoring requirements.
Reports on Test Pass/Fail Status: After each test run, API Functional Monitoring reports whether the API passed or failed the test conditions.
Performance Statistics: It displays metrics like average response time, success rate, and error rates, giving insights into API health and performance.
Evaluating the Options:
Option A (API Analytics): API Analytics provides insights on API usage and metrics but does not involve scheduled tests for pass/fail status or endpoint health checks.
Option B (Anypoint Monitoring Dashboards): These dashboards display API metrics but do not actively test API endpoints or provide pass/fail reporting on a scheduled basis.
Option C (Correct Answer): API Functional Monitoring fits the description, as it is designed to monitor API and endpoint health with scheduled test runs and display statistics about performance.
Option D (Anypoint Runtime Manager Alerts): Runtime Manager alerts notify users of issues with application status but do not actively test endpoints at scheduled intervals.
Conclusion:
Option C (API Functional Monitoring) is the correct answer because it provides the necessary tools to test API functionality, monitor endpoint health, and display performance statistics in real-time.
Refer to MuleSoft documentation on API Functional Monitoring for further guidance on setting up and configuring these tests in Anypoint Platform.
NEW QUESTION # 89
An API client calls one method from an existing API implementation. The API implementation is later updated. What change to the API implementation would require the API client's invocation logic to also be updated?
Answer: A
Explanation:
Correct Answe r: When a new required field is added to the method called by the API client
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>> Generally, the logic on API clients need to be updated when the API contract breaks.
>> When a new method or a child method is added to an API , the API client does not break as it can still continue to use its existing method. So these two options are out.
>> We are left for two more where "datatype of the response if changed" and "a new required field is added".
>> Changing the datatype of the response does break the API contract. However, the question is insisting on the "invocation" logic and not about the response handling logic. The API client can still invoke the API successfully and receive the response but the response will have a different datatype for some field.
>> Adding a new required field will break the API's invocation contract. When adding a new required field, the API contract breaks the RAML or API spec agreement that the API client/API consumer and API provider has between them. So this requires the API client invocation logic to also be updated.
NEW QUESTION # 90
Say, there is a legacy CRM system called CRM-Z which is offering below functions:
1. Customer creation
2. Amend details of an existing customer
3. Retrieve details of a customer
4. Suspend a customer
Answer: B
Explanation:
Correct Answe r: Implement different system APIs named createCustomer, amendCustomer, retrieveCustomer and suspendCustomer as they are modular and has seperation of concerns
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>> It is quite normal to have a single API and different Verb + Resource combinations. However, this fits well for an Experience API or a Process API but not a best architecture style for System APIs. So, option with just one customerManagement API is not the best choice here.
>> The option with APIs in createCustomerInCRMZ format is next close choice w.r.t modularization and less maintenance but the naming of APIs is directly coupled with the legacy system. A better foreseen approach would be to name your APIs by abstracting the backend system names as it allows seamless replacement/migration of any backend system anytime. So, this is not the correct choice too.
>> createCustomer, amendCustomer, retrieveCustomer and suspendCustomer is the right approach and is the best fit compared to other options as they are both modular and same time got the names decoupled from backend system and it has covered all requirements a System API needs.
NEW QUESTION # 91
What correctly characterizes unit tests of Mule applications?
Answer: C
Explanation:
Correct Answe r: They are typically written using MUnit to run in an embedded Mule runtime that does not require external connectivity.
*****************************************
Below TWO are characteristics of Integration Tests but NOT unit tests:
>> They test the validity of input and output of source and target systems.
>> They must be triggered by an external client tool or event source.
It is NOT TRUE that Unit Tests must be run in a unit testing environment with dedicated Mule runtimes for the environment.
MuleSoft offers MUnit for writing Unit Tests and they run in an embedded Mule Runtime without needing any separate/ dedicated Runtimes to execute them. They also do NOT need any external connectivity as MUnit supports mocking via stubs.
https://dzone.com/articles/munit-framework
NEW QUESTION # 92
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 API's 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: C
NEW QUESTION # 93
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