さらに、JPTestKing Mule-Arch-201ダンプの一部が現在無料で提供されています：https://drive.google.com/open?id=1LrIP1xAKeezVfelgNrCTCX38lqYDhxiO
効果的な勤勉さが結果に正比例することは誰もが知っているので、長年の勤勉な作業によって、私たちの専門家は頻繁にテストされた知識をあなたの参考のためにSalesforce Certified MuleSoft Platform Architect実践資料に集めました。 ですから、Salesforce Certified MuleSoft Platform Architectトレーニング資料は彼らの努力の成果です。 Salesforce Certified MuleSoft Platform Architectの実践教材に頼ることで、以前に想像していた以上の成果を絶対に得ることができます。 Salesforce Certified MuleSoft Platform Architectの実際のMule-Arch-201テストを選択した顧客から収集された明確なデータがあり、合格率は98〜100％です。 したがって、成功を収めるチャンスは、当社の資料によって大幅に向上します。
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Designing and Sharing APIs | 11% | - API-Led Connectivity Approach - API Design Best Practices - Anypoint Exchange for Sharing Assets |
| Topic 2: Architecting and Deploying API Implementations | 11% | - Mule Runtime Architecture - Disaster Recovery (DR) Strategies - High Availability (HA) Design |
| Topic 3: Deploying API Implementations to CloudHub | 11% | - CloudHub Architecture - Deployment Strategies - CloudHub 2.0 & Runtime Fabric |
| Topic 4: Understanding the MuleSoft Platform & Application Networks | 11% | - MuleSoft Anypoint Platform Core Concepts - C4E (Center for Enablement) Definition - Application Network Fundamentals |
| Topic 5: Meeting API Quality Goals | 8% | - Resilience & Reliability Patterns - Unit & Integration Testing - API Performance Optimization |
| Topic 6: Applying Integration Patterns | 11% | - Integration Scenarios & Patterns - Event-Driven Architecture (EDA) - Batch Processing |
| Topic 7: Managing APIs | 12% | - API Versioning - API Security (Policies, SLAs) - API Lifecycle Management |
| Topic 8: Establishing Organizational and Platform Foundations | 17% | - IT Delivery & C4E Operating Model - Platform Foundation Setup - Governance and Compliance Framework |
| Topic 9: Monitoring and Analyzing Application Networks | 8% | - Anypoint Monitoring Tools - Alerting & Auditing - Analytics & Business Insights |
変化する地域に対応するには、問題を解決する効率を改善する必要があります。これは、Mule-Arch-201試験に対処するだけでなく、多くの側面を反映しています。 Mule-Arch-201実践教材は、あなたがそれを実現するのに役立ちます。 これらの時間に敏感な試験の受験者にとって、重要なニュースで構成される高効率のMule-Arch-201の実際のテストは、最も役立つでしょう。 定期的にそれらを練習することによってのみ、あなたはあなたに明らかな進歩が起こったのを見るでしょう。 Mule-Arch-201試験問題は、支払い後すぐにダウンロードできます。成功への旅を今すぐ始めましょう
質問 # 109
What is true about where an API policy is defined in Anypoint Platform and how it is then applied to API instances?
正解：C
解説：
Correct Answe r: The API policy is defined in API Manager for a specific API instance, and then ONLY applied to the specific API instance.
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>> Once our API specifications are ready and published to Exchange, we need to visit API Manager and register an API instance for each API.
>> API Manager is the place where management of API aspects takes place like addressing NFRs by enforcing policies on them.
>> We can create multiple instances for a same API and manage them differently for different purposes.
>> One instance can have a set of API policies applied and another instance of same API can have different set of policies applied for some other purpose.
>> These APIs and their instances are defined PER environment basis. So, one need to manage them seperately in each environment.
>> We can ensure that same configuration of API instances (SLAs, Policies etc..) gets promoted when promoting to higher environments using platform feature. But this is optional only. Still one can change them per environment basis if they have to.
>> Runtime Manager is the place to manage API Implementations and their Mule Runtimes but NOT APIs itself. Though API policies gets executed in Mule Runtimes, We CANNOT enforce API policies in Runtime Manager. We would need to do that via API Manager only for a cherry picked instance in an environment.
So, based on these facts, right statement in the given choices is - "The API policy is defined in API Manager for a specific API instance, and then ONLY applied to the specific API instance".
質問 # 110
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?
正解：B
解説：
Correct Answe r: Anypoint Runtime Fabric
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>> 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.
質問 # 111
A customer wants to monitor and gain insights about the number of requests coming in a given time period as well as to measure key performance indicators (response times, CPU utilization, number of active APIs).
Which tool provides these data insights?
正解：D
解説：
Understanding Anypoint Monitoring and Its Capabilities:
Anypoint Monitoring provides comprehensive visibility into Mule applications, offering metrics and analytics such as request counts, response times, CPU utilization, memory usage, and other key performance indicators (KPIs). This tool is designed to help teams monitor API usage, troubleshoot issues, and optimize application performance.
Evaluating the Options:
Option A (Correct Answer): Anypoint Monitoring is the ideal tool for this requirement. It provides real-time insights into metrics such as the number of requests, response times, CPU utilization, and active API usage.
Option B (API Manager): API Manager focuses on API lifecycle management, including applying policies, managing contracts, and setting access controls. It does not provide performance monitoring or KPI tracking.
Option C (Runtime Alerts): Runtime Alerts can notify users of specific conditions, like high CPU usage, but they do not provide a full suite of metrics or insights over a given time period.
Option D (Functional Monitoring): Functional Monitoring focuses on functional testing of APIs rather than performance and usage metrics. It does not provide continuous KPI tracking.
Conclusion:
Option A is the correct answer. Anypoint Monitoring is the most suitable tool to track the specified metrics, providing detailed insights into API requests, response times, CPU usage, and active API counts.
For further details, refer to MuleSoft's Anypoint Monitoring documentation on configuring dashboards and tracking performance metrics.
質問 # 112
A system API is deployed to a primary environment as well as to a disaster recovery (DR) environment, with different DNS names in each environment. A process API is a client to the system API and is being rate limited by the system API, with different limits in each of the environments. The system API's DR environment provides only 20% of the rate limiting offered by the primary environment. What is the best API fault-tolerant invocation strategy to reduce overall errors in the process API, given these conditions and constraints?
正解：B
解説：
Correct Answe r: Invoke the system API deployed to the primary environment; add timeout and retry logic to the process API to avoid intermittent failures; if it still fails, invoke the system API deployed to the DR environment
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There is one important consideration to be noted in the question which is - System API in DR environment provides only 20% of the rate limiting offered by the primary environment. So, comparitively, very less calls will be allowed into the DR environment API opposed to its primary environment. With this in mind, lets analyse what is the right and best fault-tolerant invocation strategy.
1. Invoking both the system APIs in parallel is definitely NOT a feasible approach because of the 20% limitation we have on DR environment. Calling in parallel every time would easily and quickly exhaust the rate limits on DR environment and may not give chance to genuine intermittent error scenarios to let in during the time of need.
2. Another option given is suggesting to add timeout and retry logic to process API while invoking primary environment's system API. This is good so far. However, when all retries failed, the option is suggesting to invoke the copy of process API on DR environment which is not right or recommended. Only system API is the one to be considered for fallback and not the whole process API. Process APIs usually have lot of heavy orchestration calling many other APIs which we do not want to repeat again by calling DR's process API. So this option is NOT right.
3. One more option given is suggesting to add the retry (no timeout) logic to process API to directly retry on DR environment's system API instead of retrying the primary environment system API first. This is not at all a proper fallback. A proper fallback should occur only after all retries are performed and exhausted on Primary environment first. But here, the option is suggesting to directly retry fallback API on first failure itself without trying main API. So, this option is NOT right too.
This leaves us one option which is right and best fit.
- Invoke the system API deployed to the primary environment
- Add Timeout and Retry logic on it in process API
- If it fails even after all retries, then invoke the system API deployed to the DR environment.
質問 # 113
A Platinum customer uses the U.S. control plane and deploys applications to CloudHub in Singapore with a default log configuration.
The compliance officer asks where the logs and monitoring data reside?
正解：B
解説：
For applications deployed on CloudHub in a foreign region (e.g., Singapore), MuleSoft handles log and monitoring data in the region where the control plane resides. This data storage policy is standard for CloudHub deployments to maintain centralized log and monitoring data.
Data Location:
For a U.S.-based control plane, all logs and monitoring data are stored in the United States, regardless of the deployment region.
Although the application itself runs in Singapore, data related to application performance and logs is not localized to the deployment region.
of Correct Answer (B):
Since the control plane is based in the United States, all operational data like logs and monitoring will also be stored there, ensuring compliance with MuleSoft's data handling policies.
of Incorrect Options:
Option A and D are incorrect because MuleSoft does not store logs or monitoring data in the application deployment region when the control plane is located in the United States.
Option C suggests mixed storage, which does not align with MuleSoft's data policy structure.
Reference
For details on data residency in CloudHub deployments, refer to MuleSoft's documentation on CloudHub control planes and data handling policies.
質問 # 114
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Mule-Arch-201日本語版参考資料: https://www.jptestking.com/Mule-Arch-201-exam.html
P.S. JPTestKing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=1LrIP1xAKeezVfelgNrCTCX38lqYDhxiO