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| Section | Weight | Objectives |
|---|---|---|
| Translate Needs to Integration Requirements | 22% | - Inventory systems and integration patterns - Evaluate system and process constraints - Determine security and performance requirements |
| Maintain and Monitor Integrations | 8% | - Troubleshoot and debug issues - Update and optimize integrations - Monitor performance and availability |
| Design Integration Solutions | 28% | - Select appropriate integration patterns - Design solution components and architectures - Choose API types and communication protocols |
| Evaluate Business Needs | 11% | - Identify CRM success factors and regulatory impacts - Classify data sensitivity level - Identify functional and non-functional integration requirements |
| 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 |
| Build Integration Solutions | 23% | - Apply security and governance measures - Handle errors and exceptions - Implement integration components and logic |
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NEW QUESTION # 112
Northern Trail Outfitters wants to use Salesforce as a front end for creating accounts using the lead-to-opportunity process.
1. An order is created in Salesforce when the opportunity is closed and won, but the back-end ERP system is the data master for order,
2. Customer wants to be able to see within Salesforce all the stages of order processing like Order Created, Order Shipped, Order Paid that are within the retention window.
Which two message durability considerations should an Integration Architect make when designing a solution to meet these business requirements?
Choose 2 answers
Answer: A,B
Explanation:
https://developer.salesforce.com/docs/atlas.en-us.api_streaming.meta/api_streaming/using_streaming_api_durability.htm
NEW QUESTION # 113
A new Salesforce program requires data updates between internal systems and Salesforce. Which relevant detail should an integration architect seek to solve for integration architecture needs?
Answer: C
Explanation:
In the "Discovery" phase of integration architecture, the architect must translate abstract business needs into technical requirements. The most critical variables that define the Integration Pattern are Timing and Volume.
An architect cannot choose between the REST API, Streaming API, Bulk API, or Outbound Messaging without knowing:
* Latency Requirements: Does the business need the update in 200 milliseconds (Synchronous), 2 minutes (Near Real-Time), or 24 hours (Batch)?
* Frequency: Is the data updated every time a user clicks a button, or once at the end of the day?
* Volume: Are we moving 10 records at a time or 10 million?
Option A focuses on UI/UX and licensing, which are project management concerns. Option B focuses on resource allocation and governance. While important for the project, they do not inform the technical design of the data flow.
By specifically seeking out Timing aspects (Synchronous vs. Asynchronous) and Update Frequency, the architect can apply the Salesforce Integration Decision Matrix. For instance, a "Real-time" requirement for small volumes leads to a Request-Reply pattern via Apex Callouts. A "Nightly" requirement for large volumes leads to a Batch Data Synchronization pattern via the Bulk API. Identifying these "Non-Functional Requirements" (NFRs) early is the only way to ensure the architecture is scalable and stays within platform governor limits.
NEW QUESTION # 114
Northern Trail Outfitters (NTO) wants to improve the quality of callouts from Salesforce to its REST APIs by adhering to RAML (REST API Markup Language) specifications. The RAML specs serve as interface contracts. Which design specification should the integration architect include to ensure that Apex REST API Clients' unit tests confirm adherence to the RAML specs?
Answer: C
Explanation:
In Salesforce, you cannot perform real HTTP callouts during unit tests. To test integration logic, developers must use the HttpCalloutMock interface to simulate the API's response. To ensure that the Apex code adheres to the RAML contract, the architect should require that the test mock implementation strictly follows the RAML specifications.
By requiring the Apex REST API Clients to implement the HttpCalloutMock (or more specifically, creating a mock class that implements it), the developer creates a controlled testing environment. The mock class should be coded to return a payload that matches the RAML-defined structure (fields, data types, and status codes). When the test runs, the Apex client receives this "contract-compliant" response. The unit test then uses assertions to verify that the Apex code correctly parses and handles this specific data structure.
Option B is technically imprecise; you don't "call" the mock from the client, you provide the mock to the test runtime using Test.setMock(). Option C describes the general process of testing but does not address the
"design specification" needed to ensure contract adherence. By mandating a mock implementation that mirrors the RAML contract, the architect ensures that if the API contract changes in the RAML file, the unit tests will fail if the Apex code is not updated to match, thereby maintaining high integration quality and preventing runtime errors.
NEW QUESTION # 115
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: D
Explanation:
Answer D is valid because using Bulk API 2.0 for both inserting and querying data canmeet 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 API2.0 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 onthe 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 batchesper 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 andcomplexity 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 ofdata 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 # 116
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: C
NEW QUESTION # 117
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