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| Section | Weight | Objectives |
|---|---|---|
| Design Integration Solutions | 28% | - Analyze trade-offs, limitations and constraints - Choose suitable Salesforce APIs and technologies - Define solution components and architecture - Design error handling, recovery and monitoring - Select appropriate integration patterns |
| Evaluate Business Needs | 8% | - Identify functional and non-functional requirements - Assess business growth impact on integration - Determine CRM success factors for integration - Classify data by sensitivity and security level |
| Evaluate the Current System Landscape | 16% | - Analyze constraints and pain points in existing systems - Evaluate authentication and authorization requirements - Identify system standards, limitations, boundaries and protocols - Identify regulatory and compliance factors |
| Build Solution | 23% | - Implement idempotency and reliability mechanisms - Build scalable and resilient integration solutions - Apply data transformation and mapping - Implement API design and security |
| Translate Needs to Integration Requirements | 22% | - Create system and integration pattern inventory - Determine performance requirements: volume, latency, response time - Define security and authentication specifications - Evaluate system and process constraints |
| Maintain Integration | 3% | - Define reporting and alerting requirements - Manage updates and change impact - Monitor performance and health |
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NEW QUESTION # 18
Northern Trail Outfitters (NTO) wants to improve the quality of callouts from Salesforce to its REST APIs by requiring all API clients to adhere to RAML (REST API Markup Language) specifications. The RAML specs serve as interface contracts. 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?
Answer: B
Explanation:
In a contract-first integration approach using RAML, the specification acts as the single source of truth for request and response structures. Since Salesforce unit tests are prohibited from performing actual network callouts, the HttpCalloutMock interface must be used to simulate external API behavior.
To ensure unit tests truly confirm adherence to the RAML contract, the architect must mandate that the mock implementation specifically returns responses formatted per the RAML specification. This means the mock's JSON or XML body, headers, and HTTP status codes (e.g., 200 OK, 400 Bad Request) must exactly match the "interface contract" defined in the RAML file.
By strictly aligning the mock with the RAML spec, developers ensure that the Apex client's parsing logic (e.g., JSON.deserialize()) is tested against the agreed-upon data model. If the external service later changes its schema in a way that deviates from the RAML, the unit tests-which are based on that contract-will help identify where the Apex code might fail. Options B and C are technically incorrect: the client does not "call" or "implement" the mock; rather, the test runtime provides the mock instance to the client via Test.setMock().
NEW QUESTION # 19
A customer is evaluating the Platform Events solution and would like help in comparing/contrasting it with Outbound Messaging for real-time/near-real time needs. They expect 3,000 customers to view messages in Salesforce. What should be evaluated and highlighted when deciding between the solutions?
Answer: C
NEW QUESTION # 20
A company's security assessment noted vulnerabilities on the unmanaged packages in its Salesforce orgs; notably, secrets that are easily accessible and in plain text, such as usernames, passwords, and OAuth tokens used in callouts from Salesforce. Which persistence mechanisms should an integration architect require to be used to ensure that secrets are protected from deliberate or inadvertent exposure?
Answer: C
Explanation:
The scenario highlights vulnerabilities in unmanaged packages where secrets (usernames, passwords, OAuth tokens) are stored in plain text and easily accessible. The goal is to protect these secrets from exposure in callouts, especially in unpackaged or unmanaged code contexts.
Why A (Protected Custom Metadata Types and Named Credentials)?
Named Credentials is the primary Salesforce-recommended mechanism for securely storing authentication details (including passwords, tokens, and secrets) for HTTP callouts. Secrets are encrypted, not visible in debug logs, and Salesforce handles authentication without exposing them in Apex code.
However, in Named Credentials, admins with "Customize Application" permission can view/edit the secrets.
To further protect secrets (e.g., hide them completely from admins or in packaged scenarios), use Protected Custom Metadata Types (preferably in a managed package). These allow Apex code in the same namespace/package to access the secrets while hiding them from users, API queries, or subscriber orgs.
This combination addresses both standard callouts (via Named Credentials) and cases needing maximum obfuscation (via Protected Custom Metadata), directly mitigating plain-text exposure in unmanaged packages.
Why not B (Encrypted Custom Fields and Protected Custom Settings)?
Encrypted Custom Fields are suitable for sensitive data like PII (e.g., credit cards, SSNs) but explicitly not recommended for storing authentication secrets or credentials used in callouts (per Salesforce Secure Coding guidelines).
Protected Custom Settings offer similar protection to Protected Custom Metadata but are less preferred for configuration-like data (secrets are configuration). Custom Metadata is deployable as metadata, better for packaging and migrations.
Why not C (Named Credentials and Protected Custom Settings)?
While Named Credentials are ideal, pairing with Protected Custom Settings is valid but suboptimal. Salesforce documentation and Trailhead modules favor Protected Custom Metadata Types over Custom Settings for secret storage due to better deployability, caching, and metadata API support.
This aligns with Salesforce Trailhead ("Securely Store Secrets with Salesforce Features") and secure coding guidelines, emphasizing Named Credentials for callouts and Protected Custom Metadata for high-security secret storage in packages. For unmanaged code vulnerabilities, migrating to these mechanisms (ideally with packaging) prevents exposure.
NEW QUESTION # 21
Which Web Services Description Language (WSDL) should an architect consider when creating an integration that might be used for more than one Salesforce org and different metadata?
Answer: C
Explanation:
In the world of Salesforce SOAP APIs, the choice of WSDL depends on the nature of the application being built. When an architect needs to build an integration that is org-agnostic-meaning it can work across multiple different Salesforce organizations with varying custom objects and fields-the Partner WSDL is the correct choice.
The Partner WSDL is loosely-typed. It does not contain information about an org's specific custom metadata; instead, it uses a generic sObject structure. This allows a single client application (like a third-party integration tool or a mobile app) to connect to any Salesforce org and dynamically discover its schema at runtime. Because it is not tied to a specific org's metadata, it does not need to be regenerated every time a custom field is added to one of the target orgs.
In contrast, Option A (Enterprise WSDL) is strongly-typed. It is generated specifically for one org and contains hard-coded references to that org's custom objects and fields. While this provides better compile-time safety for internal, single-org integrations, it is unsuitable for an application intended for "more than one Salesforce org" because the WSDL would be invalid for any org that doesn't have the exact same metadata. Option C is a general term; the actual choices provided by Salesforce for integration are the Partner or Enterprise WSDLs. Therefore, for maximum flexibility and reusability across a multi-org landscape, the Partner WSDL is the industry standard.
NEW QUESTION # 22
A company uses Customer Community for course registration. The payment gateway takes more than 30 seconds to process transactions. Students want results in real time to retry if errors occur. What is the recommended integration approach?
Answer: A
Explanation:
Standard synchronous Apex callouts have a timeout limit, and more importantly, Salesforce limits the number of long-running requests (those lasting longer than 5 seconds) that can execute concurrently. If a payment gateway consistently takes 30 seconds, a few simultaneous users could easily exhaust the org's concurrent request limit, causing the entire system to stop responding.
The Continuation pattern (Option C) is designed specifically for this "long-wait" scenario. It allows the Apex request to be suspended while waiting for the external service to respond, freeing up the Salesforce worker thread to handle other users. Once the gateway responds, the suspended process resumes and returns the result to the student's browser. This provides the "real-time" experience required for the student to retry immediately without the risk of bringing down the entire community due to thread exhaustion.
NEW QUESTION # 23
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