質問 1:An organization has created an API-led architecture that uses various API layers to integrate mobile clients with a backend system. The backend system consists of a number of specialized components and can be accessed via a REST API. The process and experience APIs share the same bounded-context model that is different from the backend data model. What additional canonical models, bounded-context models, or anti-corruption layers are best added to this architecture to help process data consumed from the backend system?
A. Create a canonical model that combines the backend and API-led models to simplify and unify data models, and minimize data transformations.
B. Create an anti-corruption layer for every API to perform transformation for every data model to match each other, and let data simply travel between APIs to avoid the complexity and overhead of building canonical models
C. Create a bounded-context model for the system layer to closely match the backend data model, and add an anti-corruption layer to let the different bounded contexts cooperate across the system and process layers
D. Create a bounded-context model for every layer and overlap them when the boundary contexts overlap, letting API developers know about the differences between upstream and downstream data models
正解:C
解説: (Topexam メンバーにのみ表示されます)
質問 2:Due to a limitation in the backend system, a system API can only handle up to 500 requests per second. What is the best type of API policy to apply to the system API to avoid overloading the backend system?
A. Rate limiting
B. HTTP caching
C. Rate limiting - SLA based
D. Spike control
正解:D
解説: (Topexam メンバーにのみ表示されます)
質問 3:When must an API implementation be deployed to an Anypoint VPC?
A. When the API implementation must be deployed to a production AWS VPC using the Mule Maven plugin
B. When the API Implementation must invoke publicly exposed services that are deployed outside of CloudHub in a customer- managed AWS instance
C. When the API implementation must be accessible within a subnet of a restricted customer-hosted network that does not allow public access
D. When the API Implementation must write to a persistent Object Store
正解:B
質問 4:Refer to the exhibit.
A developer is building a client application to invoke an API deployed to the STAGING environment that is governed by a client ID enforcement policy.
What is required to successfully invoke the API?
A. The client ID and secret for the Anypoint Platform account's STAGING environment
B. A valid OAuth token obtained from Anypoint Platform and its associated client ID and secret
C. The client ID and secret obtained from Anypoint Exchange for the API instance in the STAGING environment
D. The client ID and secret for the Anypoint Platform account owning the API in the STAGING environment
正解:C
解説: (Topexam メンバーにのみ表示されます)
質問 5:What is true about API implementations when dealing with legal regulations that require all data processing to be performed within a certain jurisdiction (such as in the USA or the EU)?
A. They must te deployed to Anypoint Platform runtime planes that are managed by Anypoint Platform control planes, with both planes in the same Jurisdiction
B. They must ensure ALL data is encrypted both in transit and at rest
C. They must use a Jurisdiction-local external messaging system such as Active MQ rather than Anypoint MQ
D. They must avoid using the Object Store as it depends on services deployed ONLY to the US East region
正解:A
解説: (Topexam メンバーにのみ表示されます)
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Salesforce MuleSoft-Platform-Architect-I 認定試験の出題範囲:
トピック | 出題範囲 |
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トピック 1 | - Designing APIs Using System, Process, and Experience Layers: Identifying suitable APIs for business processes, assigning them according to functional focus, and recommending data model approaches are its sub-topics.
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トピック 2 | - Architecting and Deploying API Implementations: It covers important aspects like using auto-discovery, identifying VPC requirements, comparing hosting options and understanding testing methods. The topic also involves automated building, testing, and deploying in a DevOps setting.
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トピック 3 | - Monitoring and Analyzing Application Networks: It discusses Anypoint Platform components for data generation, collected metrics, and key alerts. This topic also includes specifying alerts to define Mule applications.
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トピック 4 | - Establishing Organizational and Platform Foundations: Advising on a Center for Enablement (C4E) and identifying KPIs, describing MuleSoft Catalyst's structure, comparing Identity and Client Management options, and identifying data residency types are essential sub-topics.
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トピック 5 | - Explaining Application Network Basics: This topic includes sub-topics related to identifying and differentiating between technologies for API-led connectivity, describing the role and characteristics of web APIs, assigning APIs to tiers, and understanding Anypoint Platform components.
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トピック 6 | - Designing and Sharing APIs: Identifying dependencies between API components, creating and publishing reusable API assets, mapping API data models between Bounded Contexts, and recognizing idempotent HTTP methods.
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参照:https://trailhead.salesforce.com/en/credentials/mulesoftplatformarchitecti
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