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| Section | Weight | Objectives |
|---|---|---|
| Build Integration Solutions | 23% | - Apply security and governance measures - Handle errors and exceptions - Implement integration components and logic |
| Evaluate the Current System Landscape | 8% | - Analyze constraints and pain points of existing systems - Identify system landscape, standards, limitations and protocols - Evaluate authentication and authorization requirements |
| Evaluate Business Needs | 11% | - Identify functional and non-functional integration requirements - Classify data sensitivity level - Identify CRM success factors and regulatory impacts |
| Design Integration Solutions | 28% | - Design solution components and architectures - Select appropriate integration patterns - Choose API types and communication protocols |
| Maintain and Monitor Integrations | 8% | - Update and optimize integrations - Monitor performance and availability - Troubleshoot and debug issues |
| Translate Needs to Integration Requirements | 22% | - Determine security and performance requirements - Inventory systems and integration patterns - Evaluate system and process constraints |
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NEW QUESTION # 14
An architect decided to use Platform Events for integrating Salesforce with an external system for a company.
What should an architect consider when proposing this type of integration mechanism?
Answer: A
Explanation:
When proposing Platform Events as an integration mechanism, an architect must ensure that the security model is correctly configured to allow for the publication and subscription of events. Unlike standard objects, Platform Events have specific permission requirements for the "Integration User" or any system entity interacting with the event bus.
For an external system to subscribe to a Platform Event stream (via CometD or the Pub/Sub API), the user account used to authenticate the connection must have the "Read" permission on the specific Platform Event entity. Similarly, if the external system needs to publish events back into Salesforce, the user must have " Create" permissions. These permissions are typically managed through a Profile or a Permission Set assigned to the Integration User.
Regarding the other options, Option A is incorrect because Platform Events are designed for asynchronous communication. They are inherently decoupled; the external system does not need the same uptime as Salesforce. High-volume platform events are stored in the event bus for 72 hours, allowing an external system to "catch up" using a Replay ID once it comes back online. Option C is also incorrect because Platform Events follow a Publish/Subscribe pattern. Salesforce "broadcasts" the event to the bus without needing to know which specific external systems are listening. This decoupling is a primary advantage of event-driven architecture, as it allows for a "one-to-many" distribution model where multiple systems can consume the same message without additional configuration within Salesforce. Thus, ensuring the correct object-level permissions (Read/Create) is the most critical technical consideration for the architect to guarantee successful message delivery.
NEW QUESTION # 15
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: A
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 # 16
Salesforce is the system of record for Leads, Contacts, Accounts, and Cases. Customer data also exists in an ERP, ticketing system, and data lake, each with unique identifiers. Middleware is used to update systems bidirectionally. Which solution should be recommended to handle this?
Answer: B
Explanation:
In a complex landscape where multiple systems contain overlapping customer data, each with its own primary key, the core architectural challenge is Identity Management. To ensure that an update in Salesforce (the System of Record) correctly updates "Customer A" in the ERP and "Customer A" in the Data Lake, a Master Data Management (MDM) strategy is required.
An MDM solution creates a Cross-Reference (X-Ref) Table or a "Golden Record" that maps the unique identifiers from all systems. In the Salesforce record, the architect should implement External ID fields for each corresponding system (e.g., ERP_ID__c, Ticket_System_ID__c).
Why this is the superior recommendation:
* Bidirectional Integrity: When the middleware receives an update from the ERP, it uses the ERP_ID__c to perform an "upsert" in Salesforce, ensuring no duplicates are created.
* Traceability: It allows for easy auditing of data lineage across the enterprise.
* Decoupling: Salesforce doesn't need to know the internal logic of the ERP; it simply holds the reference key.
Option B (CDC) is a delivery mechanism, not an identity management strategy; it tells you that something changed, but not which record in the ERP it corresponds to without the ID mapping. Option C (Local caching in middleware) is an "anti-pattern" because it makes the middleware stateful; if the middleware cache is lost or out of sync, the entire integration breaks. By designing an MDM-based mapping solution directly within the data model, the architect ensures a robust, scalable, and transparent identity framework for the entire enterprise.
NEW QUESTION # 17
A customer of Salesforce has used Platform Events to integrate their Salesforce instance with an external third-party artificial intelligence (AI) system. The AI system provides a prediction score for each lead that is received by Salesforce. Once the prediction score is received, the lead information is saved to Platform Events for other processes. The trigger on the Platform Events has failed ever since it was rolled out to production.
Which type of monitoring should the integration consultant have considered to monitor this integration?
Answer: B
Explanation:
Troubleshooting failures in Platform Event-triggered logic is challenging because these triggers execute under the "Automated Process" system user, making them invisible to standard user-level monitoring. To diagnose why a trigger is failing in production, an Integration Architect must set up debug logs specifically for that trigger or the automated process user.
Debug logs provide a granular view into the execution execution path, including Apex errors, governor limit consumption, and specific DML failures. Without these logs, it is impossible to determine if the failure is due to a null pointer exception, a validation rule violation, or a record locking conflict.678 Option B is a design-time validation step; while important, it would not help mon9itor or troubleshoot a runtime failure in a deployed trigger. Option C focuses on high-level consumption limits; while reaching the
"Created Per Hour" limit would prevent events from1011 being published, it would not explain why an existing trigger is failing once the event has already arrived in the bus. By proactively establishing debug logs for the integration's triggers, the consultant can pinpoint the exact line of code or system constraint causing the failure, ensuring a faster "Mean Time to Repair" (MTTR) for critical AI-driven business processes.
NEW QUESTION # 18
Northern Trail Outfitters (NTO) has an integration set up between a Salesforce org and a quoting system.
NTO would like to show a notification to allsales representatives that use Salesforceanytime the quoting system will be taken down for maintenance.
Which Salesforce API should an Integration Architect use to fulfill this requirement?
Answer: B
Explanation:
Streaming API is the best option for sending real-time notifications of changes to Salesforce data. Streaming API uses a publish-subscribe model to push relevant data to subscribers without polling. Streaming API supports PushTopic events, whichare based on SOQL queries that define the data changes to listen for. The affiliate company can subscribe to a PushTopic event on the NTO Salesforce org and receive notifications whenever the data that matches the query changes. This way, the affiliate company can be informed of any updates to the opportunities in the NTO Salesforce instance.
NEW QUESTION # 19
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