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| Section | Weight | Objectives |
|---|---|---|
| Evaluate Business Needs | 8% | - Assess business growth impact on integration - Identify functional and non-functional requirements - Determine CRM success factors for integration - Classify data by sensitivity and security level |
| Evaluate the Current System Landscape | 16% | - Identify system standards, limitations, boundaries and protocols - Analyze constraints and pain points in existing systems - Evaluate authentication and authorization requirements - Identify regulatory and compliance factors |
| Maintain Integration | 3% | - Monitor performance and health - Manage updates and change impact - Define reporting and alerting requirements |
| Translate Needs to Integration Requirements | 22% | - Evaluate system and process constraints - Create system and integration pattern inventory - Define security and authentication specifications - Determine performance requirements: volume, latency, response time |
| Design Integration Solutions | 28% | - Define solution components and architecture - Select appropriate integration patterns - Choose suitable Salesforce APIs and technologies - Analyze trade-offs, limitations and constraints - Design error handling, recovery and monitoring |
| Build Solution | 23% | - Build scalable and resilient integration solutions - Implement API design and security - Implement idempotency and reliability mechanisms - Apply data transformation and mapping |
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NEW QUESTION # 64
A company needs to send data from Salesforce to a homegrown system behind a corporate firewall. The data is pushed one way, doesn't need to be real-time, and averages 2 million records per day. What should an integration architect consider?
Answer: C
Explanation:
With a volume of 2 million records per day, this integration exceeds the practical limits of standard near-real-time patterns like Outbound Messaging or synchronous Apex Callouts. Sending 2 million individual REST requests would likely exhaust the daily API limit and could cause significant performance degradation in Salesforce due to transaction overhead.
An Integration Architect must recommend an Asynchronous Batch Data Synchronization pattern, typically facilitated by a third-party ETL/Middleware tool (e.g., MuleSoft, Informatica, or Boomi). Staging the records off-platform is essential for several reasons:
Throttling: The homegrown system behind a firewall may not be able to handle a massive, sudden burst of 2 million records. A middleware tool can ingest the data from Salesforce and "drip-feed" it into the target system at an acceptable rate.
Error Handling and Retries: Middleware provides sophisticated persistence and "Dead Letter Queues" to ensure that if the homegrown system goes offline, no data is lost.
API Efficiency: The middleware can use the Salesforce Bulk API 2.0 to extract the data in large chunks, which is significantly more efficient than individual REST calls and consumes far fewer API limits.
Option A is a valid concern but is a symptom of the wrong choice of tool (REST). Option B describes an inbound integration to Salesforce, whereas the requirement is outbound. By utilizing a third-party tool to stage and manage the 2 million record flow, the architect ensures that the integration is scalable, respects the corporate firewall constraints (via a secure agent or VPN), and maintains the performance of the Salesforce production environment.
NEW QUESTION # 65
Northern Trail Outfitters requires an integration to be set up between one of its Salesforce orgs and an External Data Source using Salesforce Connect. The External Data Source supports Open Data Protocol. Which configuration should an integration architect recommend be implemented in order to secure requests coming from Salesforce?
Answer: C
Explanation:
In the context of Salesforce Connect, securing the integration depends heavily on how the platform authenticates with the external system. The Identity Type configuration is the fundamental security setting for an External Data Source.
The architect must choose between two Identity Types:
Named Principal: Salesforce uses the same set of credentials for all users to access the external system. This is simple to manage but does not allow the external system to distinguish between individual Salesforce users for auditing or permission purposes.
Per User: Each Salesforce user must have their own credentials for the external system. This is the most secure option as it ensures that the data visible in Salesforce respects the specific permissions the user has in the source system.
By correctly configuring the Identity Type, the architect ensures that the requests coming from Salesforce are properly authorized at the target system. Option B (CSRF Protection) is a security measure to prevent cross-site request forgery but is not the primary mechanism for authenticating the Salesforce service itself. Option A is a technical compatibility setting for non-standard OData implementations and does not directly relate to security. Therefore, recommending the appropriate Identity Type-typically "Per User" for sensitive data-is the key step in securing the OData connection.
NEW QUESTION # 66
A company has an external system that processes and tracks orders. Sales reps manage their leads and opportunity pipeline in Salesforce. The company decided to integrate Salesforce and the Order Management System (OMS) with minimal customization and code. Sales reps need to see order history in real-time. The legacy system is on-premise and connected to an ESB. There are 1,000 reps creating 15 orders each per shift, mostly with 20-30 line items. How should an integration architect integrate the two systems based on these requirements?
Answer: B
Explanation:
To meet the requirements of minimal customization, low developer resources, and real-time visibility without data replication, the architect should utilize Salesforce Connect with External Objects and an OData connector.
Salesforce External Objects allow the OMS data to be viewed within Salesforce as if it were stored natively, but the data remains in the on-premise system. This fulfills the requirement for sales reps to see "up-to-date information" because every time they view the record, Salesforce Connect fetches the latest data via the ESB's OData endpoint. This Data Virtualization pattern is the most efficient choice for real-time history where users only need to view the data occasionally.
Options A and B involve Data Replication via ETL, which would store the order data inside Salesforce. Given the volume (15,000 orders/shift with 25 line items each = 375,000 records daily), this would rapidly consume Salesforce data storage limits and require significant custom development for the ETL logic and REST APIs. Furthermore, ETL is typically batch-oriented and would not provide the true "real-time" view requested. By using an OData connector, the architect leverages a declarative, "no-code" solution that satisfies the timeline constraints and provides immediate access to order details and line items without the cost of data storage.
NEW QUESTION # 67
Northern Trail Outfitters uses a custom Java application to display code coverage and test results for all of its enterprise applications and plans to include Salesforce as well. Which Salesforce API should an integration architect use to meet the requirement?
Answer: C
Explanation:
For developer-centric tools that need to access fine-grained technical data like code coverage and test results, the Tooling API is the correct architectural choice.
While the Metadata API (Option B) is used to deploy or retrieve code, it does not provide real-time query access to the underlying metrics of a test run. The Tooling API, however, exposes specialized objects such as ApexCodeCoverage, ApexCodeCoverageAggregate, and ApexTestResult. These objects allow the Java application to query exactly which lines of code were executed during a test and the overall percentage of coverage for the organization.
The Analytics REST API (Option A) is designed for querying and interacting with Einstein Analytics (CRM Analytics) datasets and dashboards, which is irrelevant to software development lifecycle (SDLC) metrics. By using the Tooling API, the Java application can perform RESTful queries to gather comprehensive data on test successes, failures, and coverage gaps. This allows NTO to integrate Salesforce into its existing enterprise-wide quality dashboard, ensuring a unified view of code health across all platforms.
NEW QUESTION # 68
Universal Containers (UC) is a global financial company. UC support agents would like to open bank accounts on the spot for customers who inquire about UC products. During the bank account opening process, the agents execute credit checks for the customers through external agencies. At any given time, up to 30 concurrent reps will be using the service to perform credit checks for customers. Which error handling mechanisms should be built to display an error to the agent when the credit verification process has failed?
Answer: C
Explanation:
In a synchronous Request-Reply integration-where a bank agent is waiting for a real-time credit check to open an account-the error handling strategy must balance user experience with system resilience. Handling these errors at the Middleware layer is the architecturally preferred solution for managing complex retry logic and providing a clean response to Salesforce.
If the external credit agency's service is momentarily unavailable, the middleware (such as an ESB or MuleSoft) can automatically retry the request multiple times using a pre-defined strategy (e.g., exponential backoff). This "self-healing" behavior can often resolve transient network issues before the Salesforce agent even realizes there was a problem. If the retries fail, the middleware then returns a structured error message to Salesforce, which is displayed to the agent via the UI.
Option B (Fire and Forget) is unsuitable for this use case because the agent needs the result immediately to proceed with the bank account opening; they cannot afford to wait for a background process to finish hours later. Option C (Mock Service) is a testing tool and has no place in a production environment where real financial decisions are being made. By delegating error management to the middleware, UC ensures that its Salesforce instance remains performant (avoiding long-running request timeo1112uts) while maximizing the chances of a successful credit check through automated, controlled retries.1314
NEW QUESTION # 69
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