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Salesforce Integration-Architect Exam is a proctored, multiple-choice exam that lasts for 120 minutes. Integration-Architect exam consists of 60 multiple-choice questions, which are designed to test your knowledge and understanding of Salesforce Integration. Integration-Architect exam is available in English and costs $400. In order to pass the exam, you must score at least 65%.
Salesforce Integration-Architect: Salesforce Certified Integration Architect is a highly sought-after certification in the Salesforce ecosystem. It is designed for professionals who have a deep understanding of Salesforce integration principles and best practices. Salesforce Certified Integration Architect certification validates an individual's knowledge and skills in designing and implementing complex integration solutions.
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Salesforce Integration-Architect Certification Exam is a globally recognized certification program that validates the expertise and skills of integration architects in designing and implementing complex integration solutions using the Salesforce platform. Salesforce Certified Integration Architect certification exam is designed for experienced integration architects who possess a deep understanding of integration patterns, data modeling, security, and performance best practices.
Salesforce Certified Integration Architect Sample Questions (Q91-Q96):
NEW QUESTION # 91
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?
- A. Use Salesforce Connect if the database supports Open Data Protocol (OData).
- B. Use Heroku Connect if the data is hosted in Heroku.
- C. Use Salesforce Connect if the database supports Open Database Connectivity (ODBC).
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 # 92
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?
- A. Due to high volume of records, number of concurrent requests can hit the limit for the REST API.
- B. Due to high volume of records, a third-party integration tool is required to stage records off platform.
- C. Due to high volume of records, the external system will need to use a BULK API Rest endpoint to connect to Salesforce.
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 # 93
The director of customer service at Northern Trail Outfitters (NTO) wants to capture and trend specific business events that occur in Salesforce in real time. The metrics will be accessed in an ad-hoc manner using an external analytics system. The events include product exchanges, authorization clicks, subscription cancellations, and refund initiations via Cases. Which solution should meet these business requirements?
- A. Case Trigger after insert, after update to publish the platform event
- B. Case Workflow Rule that sends an Outbound Message
- C. Case after insert Trigger that executes a callout
Answer: A
Explanation:
To meet a requirement for real-time event capture that supports an external analytics system, the arc14hitect must choose a pattern that is scalable, decoupled, and reliable. Platform Events are the modern standard for this use case.
By using a Case Trigger to publish a specific Platform Event, NTO creates a highly decoupled Publish
/Subscribe architecture. The external analytics system (or a middleware layer feeding it) acts as a subscriber to the event channel. This is superior to standard callouts or outbound messaging for several reasons:
* Durability: Platform Events offer a 72-hour retention window. If the analytics system is momentarily offline, it can use the Replay ID to retrieve missed events.
* Atomic Transactions: Triggers can be configured to publish events only after the database transaction successfully commits ("Publish After Commit"), ensuring the analytics system doesn't receive data for transactions that were eventually rolled back.
* Event Volume: Platform Events are designed to handle much higher volumes of real-time messages than standard synchronous callouts.
Option A (Apex Callouts) is a point-to-point, synchronous pattern that would block Case processing and risk hitting "Concurrent Long-Running Request" limits. Option B (Outbound Messaging) is reliable but is limited to a single object per message and uses a rigid SOAP format that is less flexible for ad-hoc external analytics than the modern JSON/CometD/gRPC structures used by the event bus. By implementing Option C, the architect ensures that every specific business milestone (refund, exchange, cancellation) is broadcasted immediately, providing the customer service director with the accurate, real-time visibility required for trending and metrics.
NEW QUESTION # 94
A company in a heavily regulated industry requires data in legacy systems to be displayed in Salesforce user interfaces (UIs). They are proficient in their cloud-based ETL (extract, transform, load) tools. They expose APIs built on their on-premise middleware to cloud and on-premise applications.
Which two findings about their current state will allow copies of legacy data in Salesforce?
Choose 2 answers
- A. Cloud-based ETL can access Salesforce and supports queues.
- B. Only on-premise systems are allowed access to legacy systems.
- C. On-premise middleware provides APIs to legacy systems data.
- D. Legacy systems can use queues for on-premise integration.
Answer: A,C
Explanation:
Explanation
Option B is a correct finding, because it means that the company can use their cloud-based ETL tools to extract data from the legacy systems via the APIs exposed by the on-premise middleware, transform the data as needed, and load the data into Salesforce using queues. Queues are a way of managing asynchronous operations, such as bulk data loading, by placing them in a queue and executing them when resources are available1.
Option C is also a correct finding, because it means that the company can expose their legacy data to the cloud via their on-premise middleware APIs. APIs are a way of enabling communication and data exchange between different systems using standard protocols and formats2. By providing APIs to access their legacy data, the company can use any cloud-based tool or application that can consume those APIs to retrieve and manipulate the data.
Option A is not a correct finding, because it means that the company cannot access their legacy data from the cloud, which prevents them from using their cloud-based ETL tools or any other cloud-based integration solution. If only on-premise systems are allowed to access the legacy systems, then the company would need to use an on-premise integration tool or application to copy the data to Salesforce.
Option D is not a correct finding, because it does not affect the ability to copy legacy data in Salesforce.
Queues are useful for on-premise integration, but they are not necessary for copying data to Salesforce. The company can use other methods, such as direct API calls or batch processes, to load data into Salesforce without using queues.
References: 1: Queueable Apex | Apex Developer Guide | Salesforce Developers 2: API Basics | SOAP API Developer Guide | Salesforce Developers
NEW QUESTION # 95
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, OrderShipped, 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
- A. High-volume event messages are stored for 24 hours (one day).
- B. When subscribing to Salesforce Event bus, ReplaylD is used with a value of -2 to be able to see old and new events.
- C. When subscribing to Salesforce Event bus, ReplaylD is used with a value of -1 to be able to see new events.
- D. High-volume event messages are stored for 72 hours (three days).
Answer: B,D
Explanation:
The message durability considerations that an Integration Architect should make when designing a solution to meet these business requirements are:
When subscribing to Salesforce Event bus, ReplayID is used with a value of -2 to be able to see old and new events.
High-volume event messages are stored for 72 hours (three days).
A Salesforce Event bus is a messaging service that allows you to publish and subscribe to events inSalesforce or from external sources. ReplayID is a property of an event message that indicates its position in the event stream. By using ReplayID with a value of -2, you can replay all events stored in the retention window, which can help you see the stages of order processing in Salesforce. High-volume event messages are a type of event message that can handle large volumes of data and are optimized for performance and scalability. High- volume event messages are stored for 72 hours (three days) in the event bus, which means they can be replayed within that time frame. The other options are not correct. Using ReplayID with a value of -1 means you can only see new events that are published after your subscription. High-volume event messages are not stored for 24 hours (one day), but for 72 hours (three days).
NEW QUESTION # 96
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