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業種別の人々は自分が将来何か成績を作るようにずっと努力しています。IT業種で勤めているあなたもきっとずっと努力して自分の技能を向上させているでしょう。では、最近最も人気があるSalesforceのMule-Arch-201認定試験の認証資格を既に取りましたか。Mule-Arch-201試験に対して、あなたはいくらぐらい分かっていますか。もしこの試験に関連する知識が非常に不足であると同時にこの試験に合格したい場合、あなたはどうするつもりですか。そうですか。どうするか全然分からないですか。そうしても焦らないでください。PassTestはあなたに援助を提供します。
| Section | Weight | Objectives |
|---|---|---|
| Applying Integration Patterns | 11% | - Scalability and performance patterns - Error handling and reliability patterns - Event-driven and synchronous integration - Common integration patterns and use cases |
| Managing APIs | 12% | - API lifecycle management - Rate limiting and throttling - API policies and security enforcement - Versioning and deprecation strategies |
| Monitoring and Analyzing Application Networks | 8% | - Analytics and insight generation - Monitoring strategies and tools - Operational visibility and optimization - Logging and alerting configuration |
| Meeting API Quality Goals | 8% | - Reliability and availability targets - Maintainability and testability - Performance and latency requirements - Security and compliance standards |
| Establishing Organizational and Platform Foundations | 17% | - Governance and organizational structure - Platform strategy and roadmap definition - Center for Enablement (C4E) operating model - Anypoint Platform architecture and components |
| Architecting and Deploying API Implementations | 11% | - Networking and security configuration - Runtime architecture and deployment options - CI/CD and DevOps integration - High availability and fault tolerance |
| Designing and Sharing APIs | 11% | - API design standards and best practices - API specification and documentation - API layering: Experience, Process, System APIs - Asset sharing and reuse via Anypoint Exchange |
| Deploying API Implementations to CloudHub | 11% | - Worker sizing and resource planning - CloudHub architecture and capabilities - Deployment optimization and scaling - VPC and private space configuration |
| Explaining Application Network Basics | 11% | - Core concepts of application networks - API-led connectivity principles - Benefits of modern API design |
PassTestは、すべてのユーザーから賞賛されている効果的なMule-Arch-201研究ブレーンダンプを候補者に提供するための信頼できるプラットフォームです。 より良い仕事を見つけるために、多くの候補者がMule-Arch-201試験の準備に一生懸命勉強しています。 ほとんどの人がMule-Arch-201試験に合格するのは簡単なことではありません。したがって、当社のウェブサイトは効率的で便利な学習プラットフォームを提供できるため、最短時間でSalesforceのMule-Arch-201証明書を取得できます。 Salesforce Certified MuleSoft Platform Architect試験の質問を20〜30時間学習するだけで、Mule-Arch-201試験に自信を持って合格することができます。
質問 # 107
What is a typical result of using a fine-grained rather than a coarse-grained API deployment model to implement a given business process?
正解:C
解説:
Correct Answe r: A higher number of discoverable API-related assets in the application network.
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>> We do NOT get faster response times in fine-grained approach when compared to coarse-grained approach.
>> In fact, we get faster response times from a network having coarse-grained APIs compared to a network having fine-grained APIs model. The reasons are below.
Fine-grained approach:
1. will have more APIs compared to coarse-grained
2. So, more orchestration needs to be done to achieve a functionality in business process.
3. Which means, lots of API calls to be made. So, more connections will needs to be established. So, obviously more hops, more network i/o, more number of integration points compared to coarse-grained approach where fewer APIs with bulk functionality embedded in them.
4. That is why, because of all these extra hops and added latencies, fine-grained approach will have bit more response times compared to coarse-grained.
5. Not only added latencies and connections, there will be more resources used up in fine-grained approach due to more number of APIs.
That's why, fine-grained APIs are good in a way to expose more number of resuable assets in your network and make them discoverable. However, needs more maintenance, taking care of integration points, connections, resources with a little compromise w.r.t network hops and response times.
質問 # 108
Select the correct Owner-Layer combinations from below options
正解:A
解説:
Correct Answe r:
1. App Developers owns and focuses on Experience Layer APIs
2. LOB IT owns and focuses on Process Layer APIs
3. Central IT owns and focuses on System Layer APIs
Reference:
https://blogs.mulesoft.com/biz/api/experience-api-ownership/
https://blogs.mulesoft.com/biz/api/process-api-ownership/
https://blogs.mulesoft.com/biz/api/system-api-ownership/
質問 # 109
A team is planning to enhance an Experience API specification, and they are following API-led connectivity design principles.
What is their motivation for enhancing the API?
正解:A
解説:
In API-led design, an Experience API is enhanced to improve how data is delivered to end-user applications. One primary reason to enhance an Experience API is when new data standards, such as a Canonical Data Model, are adopted. Here's why:
Canonical Data Model (CDM):
Adopting a CDM standardizes data representations across the organization, making APIs more consistent and easier to consume across various services and applications.
Updating the Experience API ensures that it delivers data in this standardized format, improving interoperability and reusability.
of Correct Answer (D):
A CDM impacts the structure and types of data the API provides, and this update would be directly relevant to an Experience API, as it is the primary point of interaction for applications.
of Incorrect Options:
Option A involves adapting to consumer-specific standards, which is against API-led design principles.
Option B involves changes in System APIs, which don't directly mandate changes to the Experience API unless data formatting adjustments are required.
Option C (IP Allowlist) relates to security rather than API design and would not motivate a functional enhancement of the API.
Reference
For more details on the use of Canonical Data Models in API-led architecture, refer to MuleSoft's guidelines on data standardization and Experience API best practices.
質問 # 110
Refer to the exhibit. An organization is running a Mule standalone runtime and has configured Active Directory as the Anypoint Platform external Identity Provider. The organization does not have budget for other system components.
What policy should be applied to all instances of APIs in the organization to most effecuvelyKestrict access to a specific group of internal users?
正解:A
解説:
Correct Answe r: Apply a basic authentication - LDAP policy; the internal Active Directory will be configured as the LDAP source for authenticating users.
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>> IP Whitelisting does NOT fit for this purpose. Moreover, the users workstations may not necessarily have static IPs in the network.
>> OAuth 2.0 enforcement requires a client provider which isn't in the organizations system components.
>> It is not an effective approach to let every user create separate client credentials and configure those for their usage.
The effective way it to apply a basic authentication - LDAP policy and the internal Active Directory will be configured as the LDAP source for authenticating users.
質問 # 111
In which layer of API-led connectivity, does the business logic orchestration reside?
正解:C
解説:
Correct Answe r: Process Layer
*****************************************
>> Experience layer is dedicated for enrichment of end user experience. This layer is to meet the needs of different API clients/ consumers.
>> System layer is dedicated to APIs which are modular in nature and implement/ expose various individual functionalities of backend systems
>> Process layer is the place where simple or complex business orchestration logic is written by invoking one or many System layer modular APIs So, Process Layer is the right answer.
質問 # 112
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