試験の準備方法-ハイパスレートのPlat-Arch-204教育資料試験-更新するPlat-Arch-204専門試験

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Salesforce Plat-Arch-204 認定試験の出題範囲:

トピック出題範囲
トピック 1
  • Evaluate the Current System Landscape: This domain covers analyzing existing technical environments to understand current systems, their standards, protocols, limitations, and boundaries, while identifying constraints and authentication
  • authorization requirements.
トピック 2
  • Evaluate Business Needs: This domain addresses gathering functional and non-functional requirements, classifying data by sensitivity, identifying CRM success factors, and understanding how business growth and regulations impact integration choices.
トピック 3
  • Design Integration Solutions: This domain centers on selecting integration patterns, designing complete solutions with appropriate components, understanding trade-offs and limitations, choosing correct Salesforce APIs, and determining required standards and security mechanisms.
トピック 4
  • Build Solution: This domain covers implementing integrations including API design considerations, choosing outbound methods, building scalable solutions, implementing error handling, creating security solutions, and ensuring resilience during system updates.

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Salesforce Certified Platform Integration Architect 認定 Plat-Arch-204 試験問題 (Q101-Q106):

質問 # 101
Northern Trail Outfitters submits orders to the manufacturing system web service. Recently, the system has experienced outages that keep service unavailable for several days. Which solution should an integration architect recommend to handle errors during these types of service outages?1718

正解:B

解説:
When a target system experiences prolonged outages (lasting "several days"), point-to-point integrations built directly within Salesforce are prone to failure because they lack the persistence required for long-term retries. The architecturally sound recommendation is to utilize middleware queuing and buffering to "insulate" Salesforce from the target system's instability.
In this architecture, Salesforce sends the order to a middleware layer (such as an ESB or iPaaS). The middleware immediately acknowledges receipt of the message, freeing up Salesforce resources. If the manufacturing system is offline, the middleware stores the order in a persistent Message Queue. Unlike Salesforce Outbound Messaging (Option B), which only retries for up to 24 hours, enterprise middleware can be configured to hold messages for days or even weeks.
Middleware also provides sophisticated Quality of Service (QoS) features, such as "Dead Letter Queues" for manual intervention and customized retry schedules (e.g., retrying every hour instead of every few minutes). This decoupling ensures that Salesforce users can continue to create and "send" orders without seeing technical errors, even while the backend manufacturing system is down. Once the manufacturing service is restored, the middleware "drains" the queue, delivering all buffered orders in the correct sequence. This strategy provides the highest level of reliability and resilience for mission-critical business processes.


質問 # 102
A subscription-based media company's system landscape forces many subscribers to maintain multiple accounts and to log in more than once. An Identity and Access Management (IAM) system, which supports SAML and OpenID, was recently implemented to improve the subscriber experience through self-registration and single sign-on (SSO). The IAM system must integrate with Salesforce to give new self-service customers instant access to Salesforce Community Cloud.

正解:B

解説:
To provide "instant access" and a seamless experience for Community (Experience Cloud) users, the architect must choose an authentication and provisioning strategy that handles user creation on-the-fly. While both SAML and OpenID Connect (OIDC) are viable for SSO, OpenID Connect is the modern standard for consumer-facing "Social" or external identity integrations because it is built on OAuth 2.0.
The critical component for "self-service" is the Registration Handler. When an OpenID Connect Authentication Provider is configured in Salesforce, you must associate it with an Apex class that implements the Auth.RegistrationHandler interface. This handler is executed during the SSO flow if the user does not already exist. It provides the architect with full programmatic control to:
Match the incoming identity to an existing Contact or Account.
Create a new Contact record if one doesn't exist.
Provision a new User record with the correct Profile, Permission Sets, and Locale settings.
Link the User to the correct Account hierarchy, which is vital for Community security models.
Option A suggests Just-in-Time (JIT) provisioning, which is a declarative way to create users. However, JIT is often too rigid for Experience Cloud requirements, as it has limited ability to perform complex data lookups or handle the specific linking of Contacts to Accounts required for external users. Option C is technically mismatched in common Salesforce terminology; while SAML uses JIT, the Registration Handler is the native, specific mechanism designed to work with Authentication Providers (like OIDC). By using B, the company ensures that a subscriber logging in for the first time via the IAM system is instantly and accurately provisioned in Salesforce, eliminating the need for multiple accounts.


質問 # 103
A company's cloud-based single page application consolidates data local to the application with data from on-premise and Third-party systems. The diagram below typifies the application's combined use of synchronous and asynchronous calls. The company wants to use the average response time of its application's user interface as a basis for certain alerts. For this purpose, the following occurs:
Log every call start and finish date and time to a central analytics data store.
Compute response time uniformly as the difference between the start and finish date and time (A to H in the diagram).

Which computation represents the end-to-end response time from the user's perspective?

正解:C


質問 # 104
A developer is researching different implementations of the Streaming API (PushTopic, Change Data Capture, Generic Streaming, Platform Events) and asks for guidance. What should the architect consider when making the recommendation?

正解:A

解説:
When recommending a streaming solution, the architect must evaluate how each event type handles Record-Level Security (Sharing). Change Data Capture (CDC) is unique because it ignores sharing settings for record change events. This means all records of an enabled object generate change events, regardless of whether a particular user has access to those records in the Salesforce UI.
While CDC disregards record-level sharing, it does respect Field-Level Security (FLS). Delivered events only include the fields that the subscribing user is permitted to access. This is a critical consideration for integrations: if a system requires a "Master" view of all record changes across the enterprise (such as a data warehouse sync), CDC is the appropriate tool because it ensures no data is missed due to user-specific sharing constraints.
In contrast, PushTopic Events (Option A) provide a fixed payload based on a SOQL query and do not allow a "custom" payload in the same sense as Platform Events. Platform Events (Option C) are published from Apex or external APIs, but CDC is a platform-native feature that broadcasts automatically when a database record is modified, rather than being "published from Apex" by a developer.


質問 # 105
Northern Trail Outfitters (NTO) uses a custom mobile app to interact with its customers. One of the features of the app is Salesforce Chatter Feeds. NTO wants to automatically post a Chatter item to Twitter whenever the post includes the #thanksNTO hashtag.
Which API should an integration architect use to meet this requirement?

正解:B

解説:
When designing integrations that specifically involve Chatter, social collaboration, or Experience Cloud sites, the Connect REST API (formerly known as the Chatter REST API) is the architecturally recommended choice. While the standard REST API is optimized for CRUD operations on data records, the Connect REST API is specifically designed to handle the complex, nested structures of social feeds, including posts, comments, hashtags, and mentions.
The Connect REST API provides a specialized resource for feed elements that simplifies the process of identifying specific social markers like hashtags. In this use case, the mobile app or a middleware service can subscribe to or query the feed. The Connect REST API returns structured data where hashtags are identified as distinct message segments, making it trivial for an application logic to detect the #thanksNTO tag and trigger a subsequent call to the Twitter API.
From an architectural standpoint, using the Connect REST API offers several advantages over the standard REST API or Streaming API for this requirement:
Efficiency: Connect REST API responses are structured specifically for presentation in mobile applications, providing only the relevant social metadata and localized content needed for the feed.
Feature Richness: It provides native support for social actions such as liking, sharing, and following, which are often required alongside feed monitoring.
Scalability: It is designed to handle the high-volume, real-time nature of social interactions within Experience Cloud and mobile ecosystems.
While the Streaming API (Option B) can notify an application of record changes, it does not provide the rich, formatted social context that the Connect REST API delivers. The standard REST API (Option A) could technically access FeedItem records, but it would require significant custom parsing logic to identify hashtags within the raw body text, whereas the Connect REST API handles this segmenting natively. Therefore, for building custom mobile experiences that interact with Chatter data, the Connect REST API is the superior solution.


質問 # 106
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