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| Section | Weight | Objectives |
|---|---|---|
| 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 |
| Maintain and Monitor Integrations | 8% | - Monitor performance and availability - Troubleshoot and debug issues - Update and optimize integrations |
| 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% | - Handle errors and exceptions - Implement integration components and logic - Apply security and governance measures |
| Design Integration Solutions | 28% | - Select appropriate integration patterns - Choose API types and communication protocols - Design solution components and architectures |
| Evaluate Business Needs | 11% | - Classify data sensitivity level - Identify CRM success factors and regulatory impacts - Identify functional and non-functional integration requirements |
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NEW QUESTION # 76
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: C
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 # 77
Northern Trail Outfitters (NTO) uses different shipping services for each of the 34 countries it serves.
Services are added and removed frequently. Sales representatives globally need to select between valid service (s) for the customer's country and request shipping estimates. Which solution should an architect propose?
Answer: B
Explanation:
When external services are highly volatile (added/removed frequently), the goal is to decouple the Salesforce UI from the underlying service logic. An Integration Architect should propose invoking a middleware service to retrieve the valid shipping methods.
By using middleware (such as an ESB or MuleSoft) as an abstraction layer, Salesforce doesn't need to "know" the details of the 34 different shipping providers. When a sales rep selects a country, Salesforce makes a single callout to the middleware. The middleware then performs the routing logic to identify which shippers are active for that region and returns a standardized list to Salesforce.
Option A is a "maintenance nightmare"; every time a shipping service changes in any of the 34 countries, an admin would need to manually update picklist values and dependencies in Salesforce, which is not scalable.
Option C (Platfor31m Events) is an asynchronous pattern unsuitable for a real-time "request-reply" scenario where a rep is waiting for an estimate during a live customer interaction. Utilizing middleware centralizes the logic, simplifies Salesforce configuration, and allows NTO to change shipping providers without any code deployments or metadata updates in the Salesforce org.
NEW QUESTION # 78
NorthernTrail Outfitters needs to send order and line items directly to an existing finance application webservicewhen an order if fulfilled. It is critical that each order reach the finance application exactly once for accurate invoicing.
What solution should anarchitect propose?
Answer: C
Explanation:
Trigger invokes Queueable Apex method, with custom error handling process. Queueable Apex allows you to run asynchronous jobs that can make callouts to external web services. You can use custom error handling logic to handle any failures and retry the callouts if necessary. You can also use Database.Stateful interface to maintain state across transactions and ensure that each order is sent exactly once. This solution meets the requirements of sending order and line items directly to an existing finance application web service when an order is fulfilled, and ensuring that each order reaches the finance application exactly once for accurate invoicing. References: Certification - Integration Architect - Trailhead, [Queueable Apex], [Making a Web Service Callout from a Queueable Apex Job]
NEW QUESTION # 79
When user clicks Check Preferences as part of a Lightning flow in Salesforce, preferences from an externally hosted RESTful service are to be checked in real-time. The RESTful service has OpenAPI 2.0 JSON definitions, responding in data types of Boolean and string values.
Which integration pattern and mechanism should be selected to meet the conditions?
Answer: B
NEW QUESTION # 80
An Architect is asked to build a solution that allows a service to access Salesforce through the API. What is the first thing the Architect should do?
Answer: A
NEW QUESTION # 81
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