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NEW QUESTION # 22
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: B
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 # 23
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: C
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 # 24
Northern Trail Outfitters uses a custom Java application to display code coverage and test results for all of its enterprise applications and plans to include Salesforce as well. Which Salesforce API should an integration architect use to meet the requirement?
Answer: B
Explanation:
For developer-centric tools that need to access fine-grained technical data like code coverage and test results, the Tooling API is the correct architectural choice.
While the Metadata API (Option B) is used to deploy or retrieve code, it does not provide real-time query access to the underlying metrics of a test run. The Tooling API, however, exposes specialized objects such as ApexCodeCoverage, ApexCodeCoverageAggregate, and ApexTestResult. These objects allow the Java application to query exactly which lines of code were executed during a test and the overall percentage of coverage for the organization.
The Analytics REST API (Option A) is designed for querying and interacting with Einstein Analytics (CRM Analytics) datasets and dashboards, which is irrelevant to software development lifecycle (SDLC) metrics. By using the Tooling API, the Java application can perform RESTful queries to gather comprehensive data on test successes, failures, and coverage gaps. This allows NTO to integrate Salesforce into its existing enterprise-wide quality dashboard, ensuring a unified view of code health across all platforms.
NEW QUESTION # 25
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: B
Explanation:
An Integration Architect's primary responsibility when evaluating a landscape for a new Salesforce implementation is to identify the system of record for each business process and determine which legacy systems will be replaced by Salesforce. In this scenario, the customer is implementing Salesforce specifically to support case management.
According to the provided landscape diagram, the Case Management System currently exists as a standalone entity. Since Salesforce Service Cloud provides native, best-in-class case management capabilities, this legacy system is the primary candidate for retirement. Retiring the legacy Case Management system avoids data fragmentation and ensures that Salesforce serves as the single source of truth for support interactions.
However, for Salesforce to function effectively as a new case management hub, it must integrate with the remaining surrounding systems:
Email Management System: This system likely handles inbound customer communications. An architect must evaluate integrating this with Salesforce (via Email-to-Case or a specialized connector) so that incoming emails automatically generate or update cases.
Order Management System (OMS): Support agents often need to view order history or status to resolve customer inquiries. Integrating Salesforce with the OMS allows for a 360-degree view, enabling agents to see relevant order data directly within the Salesforce case console.
Data Warehouse: For long-term reporting, trend analysis, and a unified customer profile, case data from Salesforce needs to be pushed to the Data Warehouse. This ensures that the Analytics and Business Intelligence Tool downstream can report on support metrics alongside other enterprise data.
Therefore, the architect should evaluate integrations with the Data Warehouse, Order Management, and Email Management System. Option B and C are incorrect because they suggest integrating with the "Case Management System," which is the very system being superseded by Salesforce's native capabilities. By focusing on the integration of these three supporting systems, the architect ensures a seamless transition where Salesforce is fully enriched with the necessary external data to drive support excellence.
NEW QUESTION # 26
A media company recently implemented an IAM system supporting SAML and OpenId. The IAM system must integrate with Salesforce to give new self-service customers instant access to Salesforce Community Cloud. Which requirement should Salesforce Community Cloud support for self-registration and SSO?
Answer: B
Explanation:
To provide "instant access" for new customers via an external IAM system using SAML, Salesforce provides a declarative feature called Just-in-Time (JIT) provisioning.
When a customer attempts to log in to the Community (Experience Cloud) through the IAM system, the IAM system (acting as the Identity Provider) sends a SAML assertion to Salesforce. If JIT provisioning is enabled, Salesforce parses the user information contained in that assertion-such as name, email, and federation ID. If a corresponding User record does not exist, Salesforce automatically creates one on-the-fly and then logs the user in. This eliminates the need for a manual registration step or pre-provisioning accounts.
Option A is slightly incorrect because Registration Handlers are specifically associated with Authentication Providers (which use OpenID Connect/OAuth), not SAML SSO. Option C is incorrect because JIT provisioning is a feature of SAML, while Authentication Providers use the Registration Handler class to achieve the same result. For a "self-service" scenario where speed to market and standard protocols are key, SAML SSO with JIT provisioning is the architect's primary choice for automating user management and providing a seamless single-entry point for subscribers.
NEW QUESTION # 27
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