Correct Answer: B. Use asynchronous processing with a retry mechanism, dead-letter queues, and automated alerting for persistent failures. Explanation: Using asynchronous processing allows the integration to handle transactions without waiting for immediate responses, which is beneficial during network instability. A retry mechanism ensures that transient failures are retried automatically, increasing the likelihood of successful synchronization once the network stabilizes. Dead-letter queues store messages that fail after multiple retry attempts, preventing data loss and allowing for manual intervention if necessary. Automated alerting notifies administrators of persistent failures, enabling prompt resolution and minimizing downtime. Option A is incorrect because synchronous API calls can lead to blocked processes during network issues and may overwhelm the system with immediate retries, potentially exacerbating the problem. Option C is incorrect because disabling the integration introduces downtime and relies on manual intervention, which is not efficient or scalable for handling intermittent failures. Option D is incorrect because merely increasing timeout settings does not address the root cause of the failures and ignoring transient errors can lead to data inconsistencies and loss.

Correct Answer: C. Implement error logging with detailed information, trigger alerts to the support team, and provide a mechanism to manually review and correct the failed transactions. Explanation: Implementing comprehensive error logging ensures that detailed information about each failure is captured, facilitating effective troubleshooting. Triggering alerts to the support team allows for timely awareness and response to issues. Providing a mechanism to manually review and correct failed transactions ensures that data validation errors can be addressed accurately, maintaining data integrity and ensuring that orders are processed correctly once issues are resolved. Option A is incorrect because simply logging errors without notifying the support team or addressing the failed transactions can lead to unresolved issues and potential data inconsistencies. Option B is incorrect because automatically retrying failed transactions indefinitely can cause unnecessary load on the system and may not resolve underlying data validation issues. Option D is incorrect because pausing the entire integration workflow upon encountering an error can disrupt the processing of other orders, leading to significant downtime and affecting business operations.

Correct Answer: B. Implement encrypted data storage for failed transactions and enforce role-based access controls for recovery processes. Explanation: Encrypting data storage for failed transactions ensures that sensitive patient information remains secure even when errors occur. Enforcing role-based access controls limits access to recovery processes to authorized personnel only, maintaining compliance with regulatory requirements such as HIPAA. This approach safeguards data integrity and confidentiality during integration failures and recovery procedures. Option A is incorrect because storing sensitive data in plain text and using basic authentication compromises data security and violates regulatory standards. Option C is incorrect because automatically retrying failed transactions without encryption exposes sensitive data and does not address security requirements. Option D is incorrect because using unsecured communication channels and relying on manual reconciliation increases the risk of data breaches and does not ensure compliance with data protection regulations.

Correct Answer: B. Implement exponential backoff retries and notify the development team when rate limits are consistently hit. Explanation: Exponential backoff retries help manage API rate limit errors by spacing out retry attempts, reducing the likelihood of further rate limit violations. Notifying the development team when rate limits are consistently hit enables them to investigate and optimize API usage, such as batching requests or implementing more efficient data synchronization methods. This strategy maintains integration reliability while adhering to API usage policies. Option A is incorrect because ignoring rate limit errors can lead to data inconsistencies and failed inventory updates, disrupting business operations. Option C is incorrect because disabling API rate limiting on the Salesforce side is not feasible and can lead to system abuse and instability. Option D is incorrect because switching to synchronous processing does not inherently reduce the number of API calls and may exacerbate rate limit issues due to increased call frequency.

Correct Answer: B. Store failed transactions in a persistent queue and implement a scheduled job to retry processing them when the payment gateway is back online. Explanation: Storing failed transactions in a persistent queue ensures that donation data is not lost during payment gateway downtime. Implementing a scheduled job to retry processing these transactions when the gateway becomes available ensures that donations are eventually processed without requiring manual intervention. This approach maintains data integrity and provides a seamless experience for donors. Option A is incorrect because discarding failed transactions leads to data loss and requires donors to resubmit donations manually, which is inefficient and can negatively impact donor experience. Option C is incorrect because immediately retrying failed transactions every minute without storing them can result in data loss if retries fail continuously and may overwhelm the system. Option D is incorrect because automatically switching to a different payment gateway without handling failed transactions does not address the existing failed transactions and can lead to inconsistencies in donation processing.

Correct Answer: B. Categorize errors based on severity, automate notifications to relevant teams for high-severity issues, and establish a tiered support structure for resolution. Explanation: Categorizing errors based on severity allows the organization to prioritize responses to the most critical issues that impact business operations. Automating notifications ensures that the appropriate teams are promptly informed of high-severity issues, enabling swift action. Establishing a tiered support structure ensures that errors are handled by the right level of expertise, facilitating efficient and effective resolution of integration failures. Option A is incorrect because escalating all errors to the CEO is impractical and inefficient, leading to potential bottlenecks and delays in resolving issues. Option C is incorrect because logging errors silently without notifying any teams prevents timely detection and resolution of issues, leading to prolonged integration failures and potential data inconsistencies. Option D is incorrect because requiring end-users to resolve integration errors through a self-service portal is unrealistic and burdensome, as end-users typically lack the technical expertise needed to address such issues.

Correct Answer: B. Implement data validation rules to identify unexpected formats, log the errors, skip the faulty records, and schedule a review for manual correction. Explanation: Implementing data validation rules allows the integration to detect unexpected data formats proactively. Logging these errors provides visibility into the issues, while skipping the faulty records prevents the entire integration from failing due to isolated problems. Scheduling a review for manual correction ensures that data inconsistencies are addressed systematically, maintaining overall data integrity and minimizing disruption to business operations. Option A is incorrect because terminating the integration upon encountering unexpected data formats halts all data processing, leading to significant operational disruptions and potential data loss. Option C is incorrect because automatically converting all incoming data without validation can introduce inaccuracies and does not guarantee that the converted data meets the required standards. Option D is incorrect because ignoring unexpected data formats allows faulty data to enter the system, leading to data inconsistencies and potential issues downstream.

Correct Answer: B. Implement dynamic retry logic with exponential backoff, integrate circuit breaker patterns, and establish automated failover to an alternate logistics system. Explanation: Dynamic retry logic with exponential backoff helps manage transient failures by spacing out retry attempts, reducing the likelihood of overwhelming the system during outages. Circuit breaker patterns prevent the system from making repeated failed attempts when the external logistics system is down, allowing it to recover gracefully. Establishing automated failover to an alternate logistics system ensures continuity of order processing, minimizing delays and maintaining operational resilience during system updates or failures. Option A is incorrect because using hard-coded retry attempts without dynamic adjustments can lead to ineffective retries and increased system load, while relying on manual intervention delays recovery. Option C is incorrect because disabling error handling allows failures to go unnoticed and unaddressed, leading to prolonged disruptions and data inconsistencies. Option D is incorrect because scheduling integrations to run only during specific hours does not provide a scalable or resilient solution and can still result in failures if issues occur outside the scheduled times.

Correct Answer: B. Track API call response times, error rates, data consistency checks, and real-time status updates of shipments. Explanation: Tracking API call response times ensures that the integration is performing efficiently and can handle the required load for real-time shipment tracking. Monitoring error rates helps identify and address any issues that may disrupt data synchronization between Salesforce and the external logistics systems. Implementing data consistency checks ensures that shipment data remains accurate and reliable across systems. Real-time status updates of shipments provide immediate visibility into the status of each shipment, allowing for timely interventions if issues arise. Option A is incorrect because monitoring user login frequencies and session durations is related to user activity and security, not directly to the performance or reliability of the integration. Option C is incorrect because quarterly reports on overall system performance lack the detailed, real-time insights necessary for effectively monitoring and maintaining the reliability of specific integrations. Option D is incorrect because focusing solely on the number of shipments processed each month does not provide detailed information about the performance or accuracy of the integration, which are critical for ensuring reliable shipment tracking.

Correct Answer: D. Platform Events with Monitoring Dashboards Platform Events can be used to publish and subscribe to real-time data changes, enabling the setup of real-time alerts for failed integration transactions. Monitoring dashboards can display these events as they occur, providing immediate visibility into integration issues. Option A is incorrect. Scheduled Reports with Email Subscriptions are not real-time and would introduce latency in alerting. Option B is incorrect. While dashboards can display real-time data, without the integration of Platform Events or similar real-time mechanisms, they cannot proactively alert on failed transactions. Option C is incorrect. Apex Triggers can handle real-time events but require additional setup for custom notifications, making Platform Events with Monitoring Dashboards a more streamlined solution for real-time alerts.

Correct Answer: C. User login history User login history is unrelated to the performance and monitoring of batch integrations. It does not provide information about the batch processing efficiency or errors within integration processes. Option A is incorrect. Batch processing time is essential for understanding the performance and efficiency of batch integrations. Option B is incorrect. The number of records processed per batch helps in assessing the capacity and throughput of batch jobs. Option D is incorrect. Error rate per batch job is critical for identifying and addressing issues within batch integrations.

Correct Answer: A. Create a custom object to log failed API calls and build reports on it Creating a custom object to log failed API calls allows for structured data collection and the ability to build detailed and customizable reports that meet the specific insights required by the business. Option B is incorrect. Standard Salesforce error logs may not provide the level of detail and customization needed for comprehensive reporting on failed API calls. Option C is incorrect. While third-party tools can be useful, relying exclusively on them may not integrate seamlessly with Salesforce‘s reporting capabilities and could incur additional costs. Option D is incorrect. Manual tracking is error-prone, inefficient, and does not provide real-time or comprehensive reporting capabilities.