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| Section | Objectives |
|---|---|
| Topic 1: Integration Architecture Fundamentals | - Integration concepts and patterns
|
| Topic 2: Security and Identity | - Authentication mechanisms
|
| Topic 3: Middleware and Integration Platforms | - Integration middleware
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| Topic 4: Data Integration and Management | - Data transformation and mapping
|
| Topic 5: Event-Driven Architecture | - Event messaging systems
|
| Topic 6: API and Connectivity | - API-led connectivity
|
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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: A
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
Salesforce is considered to be the system of record for the customer. UC plans on using middleware to integrate Salesforce with external systems (ERP, ticketing, data lake). UC has a requirement to update the proper external system with record changes in Salesforce and vice versa. Which solution should an integration architect recommend?
Answer: C
Explanation:
In a multi-system landscape, maintaining data synchronization requires a robust Identity Mapping strategy.
The standard Salesforce architectural recommendation is to use External ID fields to store the unique identifiers from each secondary system.
By storing the ERP ID, Ticketing ID, and Data Lake ID as External IDs in Salesforce, the middleware can perform upsert operations without needing to first query Salesforce for its internal ID. This reduces the number of API calls and simplifies the integration logic. Conversely, when Salesforce pushes a change to the ERP, it sends the stored ERP ID, allowing the ERP to instantly identify the correct target record.
Option B (Caching at the middleware) is a high-maintenance "anti-pattern" that introduces a new point of failure if the cache goes out of sync with the actual systems. Option C (Change Data Capture) is a mechanism for notifying systems of changes, but it does not solve the underlying identity mapping problem. Using External IDs creates a stable, searchable, and performant cross-reference that is the backbone of any successful "hub-and-spoke" integration architecture.
NEW QUESTION # 66
An Enterprise Customer is planning to implement Salesforce to support case management. Below, is their current system landscape diagram.
Considering Salesforce capabilities, what should the Integration Architect evaluate when integrating Salesforce with the current system landscape?
Answer: C
Explanation:
Integrating Salesforce with Data Warehouse, Order Management and Email Management System is the best option considering Salesforce capabilities. Salesforce can be used as the primary case management system, replacing the existing one. Salesforce can also integrate with the Data Warehouse to provide analytics and reporting on case data. Salesforce can integrate with the Order Management System to access order information related to cases. Salesforce can integrate with the Email Management System to send and receive emails from customers and agents. Reference: Salesforce Integration Architecture Designer Resource Guide, page 16
NEW QUESTION # 67
Northern Trail Outfitters is planning to perform nightly batch loads into Salesforce from an external system with a custom Java application 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: A
Explanation:
For high-volume data loads using the Bulk API, monitoring should be performed programmatically by the orchestrating client-in this case, the custom Java application. The Bulk API is asynchronous, meaning that when you submit a job, Salesforce acknowledges the request and processes it in the background.
The Java application must actively track the state of its own jobs. Using the `getBatchInfo` (or `getJobInfo` in Bulk API 2.0) method allows the application to retrieve the real-time status of each batch. The application can check for statuses such as `Queued`, `InProgress`, `Completed`, or `Failed`. Once a batch is marked as
`Completed`, the application can then call `getBatchResult` to retrieve a list of successes and failures for individual records.
Option B is architecturally unsound because Bulk API operations are designed to bypass most synchronous Apex logic to ensure performance; furthermore, creating custom records for every error in a "nightly batch load" would likely hit other platform limits (like storage or CPU) and defeat the purpose of using the Bulk API. Option C is ineffective for Bulk API monitoring, as debug logs do not capture the background processing of bulk batches and would quickly hit the log size limits.
By recommending Option A, the architect ensures that the Java application maintains full control over the integration lifecycle. The application can log errors locally, implement automated retries for transient failures, and provide the CIO with accurate, high-level reporting on the success rate of the nightly loads without placing unnecessary overhead on the Salesforce platform.
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NEW QUESTION # 68
Which WSDL should an architect consider when creating an integration that might be used for more than one salesforce organization and different met
Answer: D
NEW QUESTION # 69
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