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Die Salesforce Integration-Architect-Prüfung richtet sich an erfahrene Architekten und Entwickler, die über Fachwissen verfügen, um komplexe Integrationen mithilfe verschiedener Integrationsmuster, -techniken und -technologien zu entwerfen und zu implementieren. Die Prüfung deckt eine breite Palette von Themen ab, einschließlich Integrationsarchitektur, Integrationsmuster, Integrationssicherheit, Datenintegration und Anwendungsintegration. Diese Prüfung ist ideal für Fachleute, die ihr Fachwissen bei der Integration von Salesforce in andere Systeme demonstrieren möchten und ihre Karrieren als Integrationsarchitekten vorantreiben möchten.
Salesforce Integration-Architect-Zertifizierung ist eine hoch angesehene und begehrte Zertifizierung in der IT-Branche. Es ist für Fachkräfte entwickelt, die über Fachwissen verfügen, um verschiedene Systeme und Anwendungen in Salesforce zu integrieren. Die Zertifizierung bestätigt das Wissen und die Fähigkeiten, die für die Gestaltung und Implementierung komplexer Integrationslösungen erforderlich sind, die den Geschäftsanforderungen entsprechen.
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Die Salesforce Integration-Architect-Zertifizierung ist eine wertvolle Berechtigung für Fachleute, die ihr Fachwissen in der Salesforce-Integration demonstrieren möchten. Die Zertifizierung wird von Arbeitgebern und Kunden als Zeichen der Kompetenz und des Fachwissens in diesem Bereich anerkannt. Es kann Fachleuten helfen, ihre Karriere voranzutreiben und ihr Verdienstpotential zu erhöhen, indem sie ihre Fähigkeit zum Entwerfen und Umsetzung komplexer Integrationslösungen demonstrieren.
110. Frage
Northern Trail Outfitters' (NTO) Salesforce org usually goes through 8k-10k batches a day to synch data from external sources. NTO's Integration Architect has received requirements for a new custom object, FooBarc, for which 90M records will need to be loaded into the org. Once complete, 20GB (about 30M records) needs to be extracted to an external auditing system.
What should the architect recommend using to meet these requirements in a day?
Antwort: B
Begründung:
Answer D is valid because using Bulk API 2.0 for both inserting and querying data canmeet the requirements of loading and extracting large volumes of data in a day. Bulk API 2.0 is a RESTful API that allows creating, updating, deleting, or querying millions of records asynchronously by uploading or downloading CSV or JSON files. Bulk API2.0 has several advantages over Bulk API 1.0, such as:
It does not count against the daily limit of 5,000 batches per rolling 24-hour period.
It supports PK Chunking for queries, which automatically splits large data sets into manageable chunks based onthe primary key.
It simplifies the job lifecycle and reduces the number of API calls needed to perform a bulk operation.
Answer A is not valid because using Bulk API 2.0 for inserting data and REST API for querying data is not an optimal solution for handling large volumes of data in a day. REST API is a synchronous API that allows creating, updating, deleting, or querying individual records or small batches of records using HTTP methods.
REST API has several limitations and drawbacks for this use case, such as:
It counts against the daily limit of 15,000 API requests per 24-hour period.
It does not support PK Chunking for queries, which means that large data sets may exceed the query timeout or heap size limits.
It requires more API calls and processing time to perform a bulk operation than Bulk API 2.0.
Answer B is not valid because using Bulk API 1.0 for both inserting and querying data is not a feasible solution for handling large volumes of data in a day. Bulk API 1.0 is a SOAP-based API that allows creating, updating, deleting, or querying millions of records asynchronously by uploading or downloading XML or CSV files. Bulk API 1.0 has several limitations and drawbacks compared to Bulk API 2.0, such as:
It counts against the daily limit of 5,000 batchesper rolling 24-hour period, which may not be enough to load and extract 90M and 30M records respectively.
It does not support JSON format for data files, which may not be compatible with some external systems or applications.
It requires more API calls andcomplexity to manage the job lifecycle and handle errors or retries than Bulk API 2.0.
Answer C is not valid because using Bulk API 1.0 for inserting data and REST API for querying data is not a suitable or reliable solution for handling large volumes ofdata in a day. As explained above, both Bulk API
1.0 and REST API have limitations and drawbacks that may affect the performance, efficiency, and scalability of the integration.
111. Frage
Service Agents at Northern Trail Outfitters uses Salesforce to manage cases and B2C Commerce for ordering.
Which integration solution should an architect recommend in order for the service agents to see order history from a B2C Commerce system?
Antwort: C
Begründung:
https://help.salesforce.com/articleView?id=icx_b2c_conversationalcommerce_connector.htm&type=5
112. Frage
Northern Trail Outfitters has recently implemented middleware for orchestration of services across platforms.
The Enterprise Resource Planning (ERP) system being used requires transactions be captured near real-time at a REST endpoint initiated in Salesforce when creating an Order object. Additionally, the Salesforce team has limited development resources and requires a low-code solution. Which option should fulfill the use case requirements?12
Antwort: B
Begründung:
To satisfy a requirement for near real-time updates to an ERP system while adher9ing to a low-code constraint, the architect must leverage Salesforce's modern declara10tive automation tools. The goal is to initiate an outbound signal that the existing middleware can then orchestrate and deliver to the ERP's REST endpoint.
The Remote Process Invocation-Fire and Forget pattern is perfectly suited for this scenario. In this pattern, Salesforce sends a message to an external system and does not wait for a functional response. This is ideal for "capturing" transactions in an ERP where the primary goal is record synchronization rather than a real-time calculation return. By using Flow Builder, the team can implement a record-triggered flow on the Order object. This flow can be configured to execute "Actions" that send data to the middleware via External Services or standard HTTP Callouts (Beta/GA features in modern Flow), which requires zero Apex coding.
Option B, Outbound Messaging, is a legacy declarative tool that is highly reliable but has a significant limitation: it natively sends messages in SOAP format. Since the requirement specifically specifies a REST endpoint, using Outbound Messaging would require additional transformation logic in the middleware, making it a less direct architectural fit than a modern Flow-based REST call. Option C, Change Data Capture (CDC), is a highly scalable, event-driven mechanism, but it is typically considered more complex to implement and maintain. It requires the middleware to manage "Replay IDs" and subscribe to a streaming channel, which often requires more specialized development effort on the middleware side compared to a simple HTTP POST from a Flow. For a team with limited development resources, Flow Builder provides the most accessible and maintainable path to achieving near real-time integration.
113. Frage
An integration architect has received a request to prevent employees that leave the company from accessing data in Salesforce after they are deactivated in the company's HR system. What should the integration architect determine before recommending a solution?
Antwort: C
114. Frage
Northern Trail Outfitters (NTO) wants to improve the quality of callouts from Salesforce to its REST APIs.
For this purpose, NTO will require all API Clients/consumers to adhere to REST API Markup Language (RAML) specifications that include the field-level definition of every API request and response Payload. The RAML specs serve as interface contracts that Apex REST API Clients can rely on. Which design specification should the integration architect include in the integration architecture to ensure that Apex REST API Clients' unit tests confirm Adherence to the RAML specs?
Antwort: A
Begründung:
In a contract-first integration strategy using RAML (RESTful API Modeling Language), the specification defines the exact structure of requests and responses. Because Salesforce unit tests cannot perform actual network callouts, the platform requires d1evelopers to use the HttpCalloutMock interface to simulate responses.
To ensure that the integration code strictly adheres to the established RAML contract, the integration architect must mandate that the HttpCalloutMock implementation returns responses that mirror the RAML specification. This means the mock must include all required fields, correct data types, and the expected HTTP status codes (e.g., 200 OK, 201 Created) as defined in the contract. By doing this, the unit tests verify that the Apex client code can successfully parse and process the specific JSON or XML payloads defined in the RAML spec.
Option A and B are technically imprecise. The Apex client does not "implement" the mock; rather, the test class provides a separate mock implementation to the runtime via Test.setMock(). The value of the integration architecture lies in the content of that mock. If the mock is designed to return contract-compliant data, then any change to the RAML that breaks the Apex code's ability to process it will be caught immediately during the testing phase. This "Mock-as-a-Contract" approach provides a safety net, ensuring that Salesforce remains compatible with external services even as those services evolve, provided the RAML is kept up to date.
115. Frage
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