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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Build Integration Solutions | 23% | - Apply security and governance measures - Implement integration components and logic - Handle errors and exceptions |
| Topic 2: Maintain and Monitor Integrations | 8% | - Monitor performance and availability - Update and optimize integrations - Troubleshoot and debug issues |
| Topic 3: Evaluate Business Needs | 11% | - Identify CRM success factors and regulatory impacts - Classify data sensitivity level - Identify functional and non-functional integration requirements |
| Topic 4: Translate Needs to Integration Requirements | 22% | - Inventory systems and integration patterns - Determine security and performance requirements - Evaluate system and process constraints |
| Topic 5: Evaluate the Current System Landscape | 8% | - Analyze constraints and pain points of existing systems - Evaluate authentication and authorization requirements - Identify system landscape, standards, limitations and protocols |
| Topic 6: Design Integration Solutions | 28% | - Choose API types and communication protocols - Design solution components and architectures - Select appropriate integration patterns |
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NEW QUESTION # 101
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: C
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 # 102
An enterprise architect has requested the Salesforce integration architect to review the following (see diagram and description) and provide recommendations after carefully considering all constraints of the enterprise systems and Salesforce Platform limits.
* About 3,000 phone sales agents use a Salesforce Lightning user interface (UI) concurrently to check eligibility of a customer for a qualifying offer.
* There are multiple eligibility systems that provide this service and are hosted externally.
* Their current response times could take up to 90 seconds to process and return.
* These eligibility systems are accessed through APIs orchestrated via ESB (MuleSoft).
* All requests from Salesforce traverse the customer's API Gateway layer, which imposes a timeout constraint of 9 seconds.
Which recommendation should the integration architect make?
Answer: A
Explanation:
In this architectural scenario, the Integration Architect must navigate two critical technical "bottlenecks": the
9-second API Gateway timeout and the 90-second backend processing time. Since the backend takes significantly longer than the gateway allows for a synchronous connection, a standard Request-Reply pattern will fail. Furthermore, having 3,000 concurrent agents perform synchronous callouts would risk hitting Salesforce's concurrent long-running request limits.
The most scalable and user-friendly solution is to implement an Asynchronous Request-Reply pattern using Platform Events and the empAPI.
When an agent clicks "Check Eligibility," Salesforce sends an initial asynchronous request to the ESB (MuleSoft). The ESB immediately acknowledges receipt with a 202 Accepted status, freeing up the Salesforce UI thread and avoiding the API Gateway's 9-second timeout. Once the backend eligibility system completes its 90-second process, MuleSoft acts as a client to Salesforce, performing a Remote Call-In to publish a specific Platform Event containing the result and the original Request ID.
On the frontend, the Lightning UI uses the empAPI (Enterprise Messaging Platform API) to subscribe to the streaming channel for that Platform Event. Because the empAPI uses CometD technology to maintain a single long-lived connection, it can efficiently push the response to the agent's screen the moment it arrives, without requiring the agent to manually refresh or click a "Check Update" button (as suggested in Option B).
This provides a "real-time" feel despite the long backend latency.
Option A is non-viable because synchronous polling would exacerbate the load on the API Gateway and likely lead to governance limit issues within Salesforce. By using Platform Events and empAPI, the architect ensures the solution remains within Salesforce's execution limits while providing a seamless, automated experience for a high-volume call center environment.
NEW QUESTION # 103
Northern Trail Outfitters needs to make synchronous callouts "available to promise"services to query product availability and reserve inventory during customer checkout process.
Which two considerations should an integration architect make when building a scalable integration solution?
Choose 2 answers
Answer: A,C
Explanation:
Explanation
The typical and worst-case historical response times, and how many concurrent service calls are being placed are two considerations that an integration architect should make when building a scalable integration solution for synchronous callouts to "available to promise" services. These two factors can affect the performance, reliability, and availability of the integration solution, as well as the user experience of the customer checkout process. The integration architect should design the solution to handle high volumes of service calls, optimize the response times, handle errors and timeouts, and avoid hitting governor limits or service quotas.
References: Certification - Integration Architect - Trailhead, [Callout Limits and Limitations], [Integration Patterns and Practices]
NEW QUESTION # 104
Universal Containers (UC) is currently managing acustom monolithic webservice that runs on an on-premise server.
This monolithic web service is responsible for Point-to-Point (P2P) integrations between:
1. Salesforce and a legacy billing application
2. Salesforce and a cloud-based Enterprise Resource Planning application
3. Salesforce and a data lake.
UC has found that the tight interdependencies between systems is causing integrations to fail.
What should an architect recommend to decouple the systems and improve performance of the integrations?
Answer: B
Explanation:
A microservice architecture is a way of designing software applications as a collection of loosely coupled services, each of which implements a specific business function.Microservices enable modularity, scalability, and agility in software development, as well as easier testing and deployment. By breaking up the monolithic web service into smaller pieces, each responsible for a single integration, UC can decouple the systems and improve the performance of the integrations. For example, UC can use Salesforce Platform Events to publish and subscribe to events from Salesforce to the legacy billing application, the ERP application, and the data lake. This way, UC can avoid point-to-point integrations and leverage an event-driven architecture that reduces coupling and increases reliability12.
The other options are not as effective as option B. Option A does not address the root cause of the tight interdependencies between systems, and may not result in significant performance improvement. Option C may improve the throughput of data loading into Salesforce, but it does not solve the problem of coupling between systems. Option D mayreduce the latency and maintenance costs of the web service, but it does not change the design of the web service or the integrations.
References: 1: Microservice Architectures With Sales and Service Cloud - Salesforce Live 2: 6 Fundamental Principles of Microservice Design | Salesforce
NEW QUESTION # 105
Universal Containers (UC) currently owns a middleware tool and they have developed an API-led integration architecture with three API tiers. The first-tier interfaces directly with the systems of engagement, the second tier implements business logic and aggregates data, while the third-tier interfaces directly with systems of record. Some of the systems of engagement will be a mobile application, a web application, and Salesforce.
UC has a business requirement to return data to the systems of engagement in different formats while also enforcing different security protocols.
What should an Integration Architect recommend to meet these requirements?
Answer: A
Explanation:
Explanation
The integration architect should recommend enforcing separate security protocols and return formats at the first tier of the API-led architecture. The first tier is also known as the experience layer, which is responsible for providing a tailored interface for each system of engagement. By enforcing security and format at this layer, the integration architect can ensure that each system of engagement can access the data in a secure and consistent way, without affecting the other layers.
References: [API-led Connectivity]
NEW QUESTION # 106
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