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NEW QUESTION # 25
When a user clicks "Check Preferences" as part of a Lightning flow, preferences from an externally hosted RESTful service are to be checked in real time. The service has OpenAPI 2.0 definitions. Which integration pattern and mechanism should be selected?
Answer: C
Explanation:
This scenario describes a classic Request and Reply pattern where a user action in the UI requires an immediate, synchronous response from an external system to determine the next step in a business process (the Flow).
The requirement specifies that an OpenAPI 2.0 (Swagger) definition is available. For an Integration Architect, this is a prime use case for External Services. External Services allow you to import an OpenAPI schema and automatically generate "Invocable Actions" that can be used directly in Flow Builder without writing a single line of Apex code.
Why this is the best fit:
Low Code: It fulfills the requirement purely through declarative configuration, which reduces maintenance and development costs.
Real-Time: It performs a synchronous HTTP callout and waits for the Boolean/String values to be returned to the Flow variables.
Type Safety: Because it uses the OpenAPI definition, Salesforce understands the data types (Boolean/String) natively.
Option A (Data Virtualization) is more suitable for viewing and searching large external datasets as if they were records; it is over-engineered for a simple "check status" function. Option C (Remote Call-In) is the inverse of the requirement; it refers to an external system calling into Salesforce. By using Enhanced External Services, the architect provides a scalable, declarative solution that perfectly aligns with modern Salesforce development best practices for real-time external system interaction.
NEW QUESTION # 26
An integration architect has built a solution using REST API, updating Account, Contact, and other related information. The data volumes have increased, resulting in higher API calls consumed, and some days the limits are exceeded. A decision was made to decrease the number of API calls using bulk updates. The customer prefers to continue using REST API to avoid architecture changes. Which REST API composite resources should the integration architect use to allow up to 200 records in one API call?
Answer: B
Explanation:
When designing high-volume integrations, the Salesforce Platform Integration Architect must distinguish between standard REST resources and "Composite" resources to optimize API consumption. The Salesforce REST API provides several composite resources to group multiple operations into a single call, thereby reducing the overhead of multiple HTTP requests and helping to stay within daily API limits.
According to Salesforce documentation on Composite Resources, the sObject Tree resource (/services/data/vXX.X/composite/tree/) is specifically designed to handle multiple records in a single request. While it is primarily marketed for creating complex hierarchies (parent-child relationships), it has a unique limit that allows for up to 200 records to be processed in a single call. These records can even be unrelated records of the same type. This is a significant advantage over the standard Batch and Composite resources.
The Composite resource and the Batch resource both have a much lower limit of 25 subrequests per call. While each subrequest in a Batch call could technically be a collection operation, the question specifically asks for the resource that natively supports the "200 records" threshold preferred for bulk-style updates within the REST framework. By utilizing the sObject Tree resource, the architect can bundle 200 record updates into a single transaction, effectively reducing API consumption by a factor of 200 compared to individual REST calls. This aligns with the requirement to avoid major architectural changes (like switching to the Bulk API 2.0) while solving the immediate problem of exceeding daily governor limits. In the context of the Integration Architect exam, understanding these specific payload limits is crucial for selecting the most efficient "Request-Reply" or "Data Synchronization" pattern.
NEW QUESTION # 27
Northern Trail Outfitters (NTO) uses Salesforce to track leads, opportunities, and order details that convert leads to customers. However, orders are managed by an external (remote) system. Sales reps want to view and update real-time order information in Salesforce. NTO wants the data to only persist in the external system. Which type of integration should an architect recommend to meet this business requirement?
Answer: B
Explanation:
The requirement to view and update data in real-time while ens5uring the data only persists in the external system is the definition of a Data Virtualization pattern. In this architectural model, Salesforce does not store a local copy of the data (which would be Data Synchronization), but instead acts as a window into the external system of record.
An Integration Architect implements Data Virtualization primarily through Salesforce Connect. This tool allows the external system's order table to be represented as an External Object in Salesforce. Because the data is retrieved on-demand via a web service call (typically using the OData protocol), it is always "real-time." Furthermore, since Salesforce Connect supports writeable external objects, sales reps can update the order information directly from the Salesforce UI, and those changes are sent back to the external system immediately without being saved to the Salesforce database.
This approach is superior to Data Synchronization (Option A) in this specific use case because it eliminates the need for data storage costs and the complexity of keeping two databases in sync. It is also distinct from Process Orchestration (Option C), which focuses on the sequencing of tasks across multiple systems rather than the real-time presentation of external data. By utilizing Data Virtualization, NTO achieves a seamless user experience where external orders look and feel like native Salesforce records while strictly adhering to the "no persistence" constraint.
NEW QUESTION # 28
An integration architect has been tasked with integrating Salesforce with an on-premises system. Due to some established policies, this system must remain on-premises. What should the integration architect use to build a solution for this requirement?
Answer: A
Explanation:
When data must reside on-premises due to security or compliance policies, but needs to be visible and actionable in Salesforce, the architect should recommend Data Virtualization via Salesforce Connect.
Salesforce Connect allows Salesforce to treat external data as if it were stored natively in the org without ever moving the data into the Salesforce cloud.28 This is achieved by creating External Objects that map to the on-premises data structures. For this to work seamlessly, the on-premises system or a middleware layer must expose the data through a compatible protocol, most commonly the Open Data Protocol (OData).
Option C is incorrect because Salesforce Connect does not natively support ODBC directly; ODBC is a low-level driver protocol, whereas OData is a web-based RESTful protocol designed for cross-platform data exchange. Option B is irrelevant as the data is stated to be on-premises, not in Heroku. By using Salesforce Connect with OData, the architect satisfies the "stay on-premises" policy while providing Salesforce users with real-time, bidirectional access to the data, supporting features like Global Search and related lists without the overhead of data synchronization.
NEW QUESTION # 29
Northern Trail Outfitters is planning to perform nightly batch loads into Salesforce using the Bulk API. The CIO wants monitoring recommendations for these jobs. Which recommendation should help meet the requirements?
Answer: B
Explanation:
For monitoring high-volume Bulk API jobs, the standard and most efficient architectural recommendation is to use the native Bulk Data Load Jobs page in Salesforce Setup.
This page provides a comprehensive, out-of-the-box view of all asynchronous API jobs, including their status (Queued, In Progress, Completed, Failed), the number of records processed, and any overall job errors. It allows administrators to download the result files for each batch to see record-level successes and failures without the overhead of custom code or data storage.
Option B is generally discouraged for high-volume nightly loads. Since the Bulk API is designed to bypass standard synchronous logic for performance, writing errors to a custom object for millions of records would consume significant data storage and could trigger additional governor limit issues during the load itself. Option C is ineffective for Bulk API monitoring; debug logs capture Apex execution but do not monitor the background processing of asynchronous Bulk API batches, and they would quickly become overwhelmed by the volume of data. For enterprise-grade monitoring9, the native UI provides the necessary visibility into job health with zero impact on platform performance or storage.
NEW QUESTION # 30
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