P.S. Xhs1991がGoogle Driveで共有している無料かつ新しいMule-Arch-201ダンプ：https://drive.google.com/open?id=1hOBm_A_i-XQYp1P5PVd8vHUxiZDzoJzo
練習資料は通常、試験に必要な試験問題を復習、練習、および記憶するためのツールと見なされ、それらに多くの時間を費やすことで、勝つ可能性を高めることができます。ただし、当社のMule-Arch-201トレーニング資料は、従来の練習資料よりも条件が良く、効果的に使用できます。 Mule-Arch-201実践ガイドが非常に多くのヘルプを提供できるように、ヘルプを提供することが主な責任であると考えています。最も一般的なのは、Mule-Arch-201試験問題の効率性です。 20〜30時間勉強します。
| Section | Weight | Objectives |
|---|---|---|
| Architecting and Deploying API Implementations | 11% | - High availability and fault tolerance - CI/CD and DevOps integration - Runtime architecture and deployment options - Networking and security configuration |
| Applying Integration Patterns | 11% | - Event-driven and synchronous integration - Error handling and reliability patterns - Scalability and performance patterns - Common integration patterns and use cases |
| Explaining Application Network Basics | 11% | - Core concepts of application networks - API-led connectivity principles - Benefits of modern API design |
| Monitoring and Analyzing Application Networks | 8% | - Analytics and insight generation - Logging and alerting configuration - Monitoring strategies and tools - Operational visibility and optimization |
| Meeting API Quality Goals | 8% | - Maintainability and testability - Security and compliance standards - Performance and latency requirements - Reliability and availability targets |
| Deploying API Implementations to CloudHub | 11% | - Worker sizing and resource planning - Deployment optimization and scaling - VPC and private space configuration - CloudHub architecture and capabilities |
| Designing and Sharing APIs | 11% | - API specification and documentation - Asset sharing and reuse via Anypoint Exchange - API layering: Experience, Process, System APIs - API design standards and best practices |
| Establishing Organizational and Platform Foundations | 17% | - Anypoint Platform architecture and components - Center for Enablement (C4E) operating model - Governance and organizational structure - Platform strategy and roadmap definition |
| Managing APIs | 12% | - API lifecycle management - Rate limiting and throttling - API policies and security enforcement - Versioning and deprecation strategies |
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質問 # 20
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?
正解：D
質問 # 21
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?
正解：C
解説：
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.
質問 # 22
What do the API invocation metrics provided by Anypoint Platform provide?
正解：A
解説：
Correct Answe r: Data on past API invocations to help identify anomalies and usage patterns across various APIs
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API Invocation metrics provided by Anypoint Platform:
>> Does NOT provide any Return Of Investment (ROI) related information. So the option suggesting it is OUT.
>> Does NOT provide any information w.r.t how APIs are reused, whether there is effective usage of APIs or not etc...
>> Does NOT prodive any prediction information as such to help us proactively identify any future policy violations.
So, the kind of data/information we can get from such metrics is on past API invocations to help identify anomalies and usage patterns across various APIs.
質問 # 23
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?
正解：A
解説：
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.
質問 # 24
Which statement is true about Spike Control policy and Rate Limiting policy?
正解：B
解説：
Understanding Spike Control and Rate Limiting Policies:
Spike Control Policy: Limits the number of requests processed by the API in a short time to handle sudden bursts of traffic. It does not queue requests but rejects any request that exceeds the allowed burst rate.
Rate Limiting Policy: Sets a limit on the number of requests that an API can handle within a given timeframe. Once the limit is reached, additional requests are rejected.
Evaluating the Options:
Option A: Incorrect. In both Spike Control and Rate Limiting policies, requests are rejected once the limit is reached. Spike Control does not queue requests; it only controls the burst rate by rejecting excessive requests.
Option B (Correct Answer): In a clustered environment, each node independently enforces the Rate Limiting and Spike Control policies, meaning that the limits apply to each node separately. This ensures that each node can control its own resource usage independently within the cluster.
Option C: This is partially correct, as Rate Limiting is often used to protect Experience APIs, but Spike Control could also be useful in limiting resource consumption under high burst conditions.
Option D: Incorrect. Although a contract is required to enforce client-specific policies, Rate Limiting and Spike Control do not require a contract to function for general traffic control.
Conclusion:
Option B is the correct answer because, in a clustered environment, Rate Limiting and Spike Control policies apply separately to each node, helping each instance to manage its own load.
For more information, refer to MuleSoft's documentation on applying Rate Limiting and Spike Control policies in a clustered environment.
質問 # 25
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Mule-Arch-201サンプル問題集: https://www.xhs1991.com/Mule-Arch-201.html
P.S. Xhs1991がGoogle Driveで共有している無料かつ新しいMule-Arch-201ダンプ：https://drive.google.com/open?id=1hOBm_A_i-XQYp1P5PVd8vHUxiZDzoJzo