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| Section | Weight | Objectives |
|---|---|---|
| Maintain Integration | 3% | - Define reporting and alerting requirements - Manage updates and change impact - Monitor performance and health |
| Evaluate the Current System Landscape | 16% | - Identify system standards, limitations, boundaries and protocols - Evaluate authentication and authorization requirements - Analyze constraints and pain points in existing systems - Identify regulatory and compliance factors |
| Evaluate Business Needs | 8% | - Assess business growth impact on integration - Classify data by sensitivity and security level - Determine CRM success factors for integration - Identify functional and non-functional requirements |
| Design Integration Solutions | 28% | - Define solution components and architecture - Analyze trade-offs, limitations and constraints - Choose suitable Salesforce APIs and technologies - Design error handling, recovery and monitoring - Select appropriate integration patterns |
| Build Solution | 23% | - Apply data transformation and mapping - Build scalable and resilient integration solutions - Implement API design and security - Implement idempotency and reliability mechanisms |
| Translate Needs to Integration Requirements | 22% | - Determine performance requirements: volume, latency, response time - Evaluate system and process constraints - Create system and integration pattern inventory - Define security and authentication specifications |
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NEW QUESTION # 72
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?12
Answer: A
Explanation:
When comparing Platform Events and Outbound Messaging for a near-real-time architecture, a Salesforce Platform Integration Architect must evaluate fundamental differences in their delivery models and governance. While both provide declarative, asynchronous "Fire-and-Forget" capabilities, their technical constraints differ significantly, particularly regarding scalability and platform limits.
The key architectural highlight in this scenario is that Platform Events operate on a specialized event bus with specific Event Publishing and Event Delivery limits. Unlike Outbound Messaging, which is governed by more general daily outbound call limits (often tied to user licenses), Platform Events have a dedicated allocation for the number of events that can be published per hour and delivered in a 24-hour period to external clients via the Pub/Sub API or CometD. For example, the number of concurrent subscribers to a Platform Event channel is typically capped at 2,000 for standard configurations. Since the customer expects 3,000 customers to view these messages, this limit is a critical evaluation point; the architecture would need to account for this gap, perhaps by using middleware to fan out messages to the larger audience.
In contrast, Outbound Messaging does not have an "Event Delivery" limit in the same sense. It is a point-to-point SOAP-based push mechanism where Salesforce manages retries for up to 24 hours if the receiving endpoint is unavailable. However, it is less flexible for multi-consumer scenarios because it requires a separate configuration for every unique destination.
Regarding the other options: Option A is incorrect because neither system strictly guarantees "exactly-once" delivery without the possibility of duplicates; in fact, Outbound Messaging may deliver a message more than once if it doesn't receive a timely acknowledgment. Option B is incorrect because Platform Events do not have built-in "fault recovery" handled by Salesforce in the same way as Outbound Messaging's automatic retry queue; with Platform Events, it is the subscriber's responsibility to use a Replay ID to retrieve missed events within the 72-hour retention window. Therefore, highlighting the unique delivery and publishing limits is the most vital step for the architect.
NEW QUESTION # 73
Northern Trail Outfitters needs to present shipping costs and estimated delivery times to its customers. Shipping services used vary by region and have similar but distinct service request parameters. Which integration component capability should be used?
Answer: A
Explanation:
When dealing with multiple external service providers (like different regional shippers) that have varying API requirements, the most scalable architectural choice is an Enterprise Service Bus (ESB) or middleware solution. This scenario describes a classic "Orchestration" and "Transformation" use case.
An ESB excels at:
1. Routing/Mediation: The ESB can receive a single, standardized request from Salesforce ("Get Shipping Rates") and use business logic to determine which regional carrier's API should be called.
2. Transformation: Each carrier likely has a distinct XML or JSON schema. The ESB can transform the common data model sent by Salesforce into the specific format required by the chosen shipper.
3. Protocol Bridging: If one shipper uses SOAP and another uses REST, the ESB handles these technical differences, allowing Salesforce to interact with a single, simplified interface.
Option A (Apex REST) would require the Salesforce team to maintain custom code for every new shipping provider added, leading to high technical debt and maintenance challenges. Option C is incorrect because an ESB is a back-end infrastructure component, not a user interface tool.
By utilizing an ESB, Northern Trail Outfitters decouples Salesforce from the complexities of the shipping providers' APIs. This "Hub and Spoke" model means that adding a new regional shipper in the future only requires configuration within the ESB, rather than a full code deployment in Salesforce. This provides the agility and architectural separation necessary for a global retail operation.
NEW QUESTION # 74
An integration architect needs to build a solution that will use the Streaming API, but the data loss should be minimized, even when the client re-connects every couple of days. Which two types of Streaming API events should be considered?
Answer: C
Explanation:
In a robust event-driven architecture, "durability" is the ability of a system to retain events so that a subscriber can retrieve them even after being offline. For an architect needing to minimize data loss over "every couple of days," the selection must focus on event types that support a high retention window.
Salesforce provides two modern event types specifically designed for high-scale, durable messaging:
Change Data Capture (CDC): This automatically broadcasts changes to Salesforce records (Create, Update, Delete, Undelete). CDC events are highly durable and are retained in the event bus for 72 hours (3 days).
High-Volume Platform Events: These are custom events defined by the architect. Like CDC, High-Volume Platform Events also provide a 72-hour retention window.
Earlier versions of the Streaming API, such as PushTopic Events and Generic Events (Option C and parts of A), typically offered a 24-hour retention window, which would not satisfy the requirement of a client re-connecting "every couple of days" (potentially 48-72 hours later).
By utilizing CDC and High-Volume Platform Events, the architect can leverage the Replay ID. When the client re-connects, it can send the Replay ID of the last event it successfully processed. Salesforce then "replays" all events that occurred during the client's downtime from that specific point, up to the 72-hour limit. This mechanism ensures zero data loss for planned or unplanned outages lasting up to three days, making it the most resilient choice for the specified requirements.
NEW QUESTION # 75
Northern Trail Outfitters (NTO) uses Salesforce to track leads, opportunities, and order details that convert leads to customers. However, orders are managed by an external (remote) system. Sales reps want to view and update real-time order information in Salesforce. NTO wants the data to only persist in the external system. Which type of integration should an architect recommend to meet this business requirement?
Answer: A
Explanation:
The requirement to view and update data in real-time while ens5uring the data only persists in the external system is the definition of a Data Virtualization pattern. In this architectural model, Salesforce does not store a local copy of the data (which would be Data Synchronization), but instead acts as a window into the external system of record.
An Integration Architect implements Data Virtualization primarily through Salesforce Connect. This tool allows the external system's order table to be represented as an External Object in Salesforce. Because the data is retrieved on-demand via a web service call (typically using the OData protocol), it is always "real-time." Furthermore, since Salesforce Connect supports writeable external objects, sales reps can update the order information directly from the Salesforce UI, and those changes are sent back to the external system immediately without being saved to the Salesforce database.
This approach is superior to Data Synchronization (Option A) in this specific use case because it eliminates the need for data storage costs and the complexity of keeping two databases in sync. It is also distinct from Process Orchestration (Option C), which focuses on the sequencing of tasks across multiple systems rather than the real-time presentation of external data. By utilizing Data Virtualization, NTO achieves a seamless user experience where external orders look and feel like native Salesforce records while strictly adhering to the "no persistence" constraint.
NEW QUESTION # 76
Northern Trail Outfitters is planning to perform nightly batch loads into Salesforce using the Bulk API. The CIO is curious about monitoring recommendations for the jobs from the technical architect. Which recommendation should help meet the requirements?
Answer: B
NEW QUESTION # 77
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