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NEW QUESTION # 113
An enterprise customer with more than 10 million customers has a landscape including an Enterprise Billing System (EBS), a Document Management System (DMS), and Salesforce CRM. Customer Support needs seamless access to customer billing information from the EBS and generated bills from the DMS. Which authorization and authentication need should an integration consultant consider while integrating the DMS and EBS with Salesforce?
Answer: C
Explanation:
When integrating Salesforce with high-security enterprise systems like an Enterprise Billing System (EBS) and a Document Management System (DMS), the primary architectural concern is respecting the Enterprise security needs for access control. These systems often contain highly sensitive financial data and are governed by strict regulatory requirements (e.g., PCI-DSS or GDPR).
The integration consultant must evaluate how to extend existing enterprise identity and authorization policies to Salesforce users. This often involves a Identity Federation strategy using protocols like SAML 2.0 or OpenID Connect. Instead of maintaining separate credentials in Salesforce (which Option A suggests and is generally an "anti-pattern" for 10 million records), the consultant should consider using a central Identity Provider (IdP).
By considering enterprise security needs, the architect ensures that when a support agent clicks a link in Salesforce to view a bill, the request is authenticated against the enterprise's security gateway. This allows for Single Sign-On (SSO) while ensuring that authorization (who can see what) remains mastered in the source systems or the central IdP. Migration (Option C) is physically and technically unfeasible for systems handling 10 million customers' historical bills and real-time processing. The focused objective is to build a "window" into these systems from Salesforce while maintaining the integrity of the enterprise's existing security perimeter.
NEW QUESTION # 114
The goals for implementing Salesforce include a 360-degree view, leveraging CRM for marketing, sales, and service, and reusing enterprise quoting/order management. Which three systems from the current landscape can be retired?
Answer: A
Explanation:
When implementing Salesforce to achieve a 360-degree view of the customer, the platform replaces legacy "siloed" applications that perform core CRM functions. Based on the business goals provided, Salesforce will be the master for Marketing, Sales, and Service.
The systems to be retired are those whose functionality is natively subsumed by Salesforce:
Email Marketing: Replaced by Salesforce Marketing Cloud or native marketing features.
Sales Activity: Replaced by Sales Cloud, which masters lead management, opportunity tracking, and activity logging.
Case Management: Replaced by Service Cloud, which provides the tools for customer support agents to resolve inquiries.
Order Management and Quoting are specifically noted as "Enterprise capabilities" that the business wants to reuse. This means these systems will stay in the landscape and be integrated with Salesforce, rather than being retired. Therefore, any option containing "Order Management" (A and C) is incorrect. Retiring the marketing, sales activity, and service systems allows the organization to consolidate its customer data into a single platform, fulfilling the primary goal of the Salesforce transformation.
NEW QUESTION # 115
Universal Containers (UC) uses Salesforce Service Cloud. Support agents open bank accounts on the spot. UC's core banking system is the system of record, and all accounts opened in Salesforce must be synced in real time. Agents need to inform the customers of the newly created bank account ID, which is generated by the core banking system. Which integration pattern is recommended for this use case?
Answer: C
Explanation:
The requirement for an agent to receive a newly created bank account ID in real time to inform a customer signifies a synchronous dependency. The agent cannot complete the business process until the core banking system confirms the account creation and returns the generated identifier.
The Request and Reply pattern is the appropriate recommendation for this use case. In this pattern:
Request: Salesforce sends a synchronous callout (REST or SOAP) containing the customer's data to the core banking system.
Wait: The Salesforce thread remains open, and the user interface typically displays a loading indicator while waiting for the external system to process the request.
Reply: The core banking system returns the new account ID, which is then immediately displayed to the support agent in Salesforce.
Options A (Platform Events) and C (Streaming API) are asynchronous, event-driven patterns. While highly scalable, they are unsuitable for this specific "on the spot" requirement because there is no native way to force the agent's screen to wait for an asynchronous callback with the new ID. Request and Reply ensures that the agent has the necessary information to complete the customer interaction in a single, continuous flow.
NEW QUESTION # 116
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: A
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 # 117
A customer imports data from an external system into Salesforce using Bulk API. These jobs have batch sizes of 2,000 and are run in parallel mode. The batches fail frequently with the error "Max CPU time exceeded". A smaller batch size will fix this error. What should be considered when using a smaller batch size?
Answer: A
Explanation:
The Bulk API is designed to process massive datasets by breaking them into smaller batches that Salesforce processes asynchronously. When a batch fails with the "Max CPU time exceeded" error, it typically indicates that the complexity of the operations triggered by the record-such as Apex triggers, Flows, or complex sharing calculations-exceeds the 10,000ms limit within a single transaction.
Reducing the batch size is the standard architectural remedy because it reduces the number of records processed in a single transaction, thereby lowering the total CPU time consumed by those records. However, the architect must consider the impact on the overall throughput and execution time.
When batch sizes are smaller, the total number of batches required to process the same dataset increases. For instance, moving from a batch size of 2,000 to 200 for a 1-million-record dataset increases the number of batches from 500 to 5,000. Each batch carries its own overhead for initialization and finalization within the Salesforce platform. Consequently, while the individual batches are more likely to succeed, the total time required to complete the entire job will increase.
The architect should also be aware of the daily limit on the total number of batches allowed (typically 15,000 in a 24-hour period). While Option C mentions API request limits, the Bulk API is governed more strictly by its own batch limits. Option B is less likely because "parallel mode" naturally manages concurrency. Thus, the primary trade-off the architect must present to the business is a gain in reliability (successful processing) at the cost of total duration (increased sync time).
NEW QUESTION # 118
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