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| Section | Weight | Objectives |
|---|---|---|
| Maintain and Monitor Integrations | 8% | - Troubleshoot and debug issues - Monitor performance and availability - Update and optimize integrations |
| Evaluate Business Needs | 11% | - Classify data sensitivity level - Identify CRM success factors and regulatory impacts - Identify functional and non-functional integration requirements |
| Translate Needs to Integration Requirements | 22% | - Evaluate system and process constraints - Determine security and performance requirements - Inventory systems and integration patterns |
| 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 |
| Design Integration Solutions | 28% | - Select appropriate integration patterns - Design solution components and architectures - Choose API types and communication protocols |
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NEW QUESTION # 53
A global financial company sells financial products and services that include the following:
1. Bank Accounts
2. Loans
3. Insurance
The company has a core banking system that is state of the art and is the master system to store financial transactions, financial products and customer information. The core banking system currently processes 10M financial transactions per day. The CTO for the company is considering building a community port so that customers can review their bank account details, update their information and review their account financial transactions.
What should an integration architect recommend as a solution to enable customer community users to view their financial transactions?
Answer: D
Explanation:
The integration architect should recommend using Salesforce Connect to display the financial transactions as an external object. SalesforceConnect is a feature that allows you to integrate external data sources with Salesforce and access them in real time via external objects. External objects are similar to custom objects, but they store metadata only and not data. You can use external objects to display data from the core banking system in the customer community without copying or syncing the data. You can also use standard Salesforce features, such as reports, dashboards, or global search, with external objects. Salesforce External Serviceis a feature that allows you to import an external schema definitionand generate an Apex wrapper class that can invoke an external service. This is useful for integrating complex business processes or workflows with Salesforce, but not for displaying datain a community lightning page. Iframe is a HTML element that allows you to embed another web page within a web page. This is not a recommended solution for displaying data in a customer community, as it can pose security risks, performance issues, or userinterface problems.
References: [Salesforce Connect], [Salesforce External Services], [Using Iframes in Lightning Components]
NEW QUESTION # 54
An integration developer is developing an HR synchronization app for a client. The app synchronizes Salesforce record data changes with an HR system that's external to Salesforce. What should the integration architect recommend to ensure notifications are stored for up to 3 days if data replication fails?
Answer: A
Explanation:
For HR synchronization requiring high reliability and a multi-day data retention window, Change Data Capture (CDC) is the optimal architectural choice.12 CDC is an event-driven integration framework that automatically publ3ishes change events for Sale4sforce records (Create, Update, Delete, and Undelete). A critical feature of CDC for failure recovery is its 72-hour (3-day) retention window. If the external HR system or the replication middleware experience downtime, the change events remain stored in the Salesforce event bus for up to three days. Once the HR system is back online, the subscriber can use the Replay ID of the last successfully processed event to retrieve all missed notifications from the bus, ensuring zero data loss during the outage.
In contrast, Outbound Messaging (Option B) only provides a 24-hour retry window. If the target system is unavailable for more than one day, the notifications are dropped, making it unsuitable for a 3-day requirement. Callouts (Option C) are typically synchronous and do not have native, platform-managed storage or retry mechanisms for failed requests; once a callout fails, the data is lost unless a custom retry architecture is built. CDC's native, durable event bus provides the necessary scalability and resilience for critical HR data synchronization without requiring complex custom code for error handling and data recovery.
NEW QUESTION # 55
A customer is migrating from an old legacy system to Salesforce and wants to integrate all existing systems currently working with the legacy application. Which constraint/pain-point should an integration architect consider when choosing the integration pattern/mechanism?
Answer: A
Explanation:
When designing an integration architecture for a legacy migration, Data volume and processing volume are the primary technical constraints that dictate the choice of integration pattern.
Salesforce is a multi-tenant environment with strict governor limits. High data volumes can quickly exhaust synchronous request limits, API quotas, and storage allocations. An architect must evaluate:
* Synchronous vs. Asynchronous: High-volume processing often requires asynchronous patterns (like Batch or Fire-and-Forget) to avoid blocking user actions and hitting concurrent request limits.
* Bulk vs. REST: If millions of records need to be migrated or synchronized daily, the Bulk API is the only scalable mechanism, as standard REST or SOAP APIs are not optimized for massive datasets.
* Data Persistence: Large volumes of read-only data might be better served through Data Virtualization (Salesforce Connect) to avoid consuming expensive Salesforce storage.
While reporting (Option C) and multi-currency (Option B) are important business requirements, they are functional configurations within Salesforce and do not drive the technical "plumbing" of the integration as heavily as volume does. By prioritizing the evaluation of volume and processing needs, the architect ensures that the integration is stable, performant, and capable of scaling as the business grows.
NEW QUESTION # 56
Northern Trail Outfitters' (NTO) Salesforce org usually goes through 8k-10k batches a day to synch data from external sources. NTO's Integration Architect has received requirements for a new custom object, FooBarc, for which 90M records will need to be loaded into the org. Once complete, 20GB (about 30M records) needs to be extracted to an external auditing system.
What should the architect recommend using to meet these requirements in a day?
Answer: A
Explanation:
Answer D is valid because using Bulk API 2.0 for both inserting and querying data can meet the requirements of loading and extracting large volumes of data in a day. Bulk API 2.0 is a RESTful API that allows creating, updating, deleting, or querying millions of records asynchronously by uploading or downloading CSV or JSON files. Bulk API 2.0 has several advantages over Bulk API 1.0, such as:
It does not count against the daily limit of 5,000 batches per rolling 24-hour period.
It supports PK Chunking for queries, which automatically splits large data sets into manageable chunks based on the primary key.
It simplifies the job lifecycle and reduces the number of API calls needed to perform a bulk operation.
Answer A is not valid because using Bulk API 2.0 for inserting data and REST API for querying data is not an optimal solution for handling large volumes of data in a day. REST API is a synchronous API that allows creating, updating, deleting, or querying individual records or small batches of records using HTTP methods. REST API has several limitations and drawbacks for this use case, such as:
It counts against the daily limit of 15,000 API requests per 24-hour period.
It does not support PK Chunking for queries, which means that large data sets may exceed the query timeout or heap size limits.
It requires more API calls and processing time to perform a bulk operation than Bulk API 2.0.
Answer B is not valid because using Bulk API 1.0 for both inserting and querying data is not a feasible solution for handling large volumes of data in a day. Bulk API 1.0 is a SOAP-based API that allows creating, updating, deleting, or querying millions of records asynchronously by uploading or downloading XML or CSV files. Bulk API 1.0 has several limitations and drawbacks compared to Bulk API 2.0, such as:
It counts against the daily limit of 5,000 batches per rolling 24-hour period, which may not be enough to load and extract 90M and 30M records respectively.
It does not support JSON format for data files, which may not be compatible with some external systems or applications.
It requires more API calls and complexity to manage the job lifecycle and handle errors or retries than Bulk API 2.0.
Answer C is not valid because using Bulk API 1.0 for inserting data and REST API for querying data is not a suitable or reliable solution for handling large volumes of data in a day. As explained above, both Bulk API 1.0 and REST API have limitations and drawbacks that may affect the performance, efficiency, and scalability of the integration.
NEW QUESTION # 57
Universal Containers has a requirement for all accounts that do NOT qualify for a business extension (Custom field on the account record) for the next month to send a meeting invite to their contacts from the marketing automation system to discuss the next steps. It is estimated there will be approximately 1MilIion contacts per month.
What is the recommended solution?
Answer: A
NEW QUESTION # 58
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