Salesforce Certified MuleSoft Hyperautomation Developer (Mule-Dev-202) Exam Practice Test

Answer : C

To prevent an API from being overloaded, the Spike Control policy is suitable. It helps manage sudden bursts of traffic by limiting the rate at which requests are processed. Here's how it works:

Preventing Overloads:

Spike Control smooths out bursts of incoming requests by enforcing a rate limit over a short period, protecting the backend systems from being overwhelmed by excessive traffic.

Configuration:

Apply the Spike Control policy to the API to define the maximum number of requests allowed within a specific timeframe.

This ensures that the API can handle a limited number of interactions per second, preventing errors due to overload.

Implementation:

In Anypoint Platform, configure the Spike Control policy to the desired thresholds, ensuring the RPA process can handle the load effectively without errors.

Anypoint Platform Spike Control Documentation

Answer : C

To meet NTO's requirements of migrating ETL jobs and managing them efficiently, the following approach is recommended:

Migrate Simple Integrations to MuleSoft Composer:

MuleSoft Composer is suitable for simple transformations and straightforward data integrations that do not require complex logic or custom coding. This allows non-technical users to manage and automate these processes easily.

Migrate Complex Integrations to Anypoint Platform:

For more complex integrations that involve intricate business logic, large data volumes, or require advanced features like error handling, use Anypoint Platform. Anypoint Platform provides robust capabilities for building, deploying, and managing APIs and integrations.

Use Anypoint Exchange:

Anypoint Exchange serves as a centralized repository for all API assets, including those created using Composer and Anypoint Platform. It provides a single interface to view, manage, and share API integrations.

This approach leverages the strengths of both tools and ensures that all API integrations are efficiently managed and monitored.

Anypoint Platform Documentation

Anypoint Exchange Documentation

Answer : B, D

To automate the process of updating related records in Salesforce when a record is created in NetSuite, combining Salesforce Flow and MuleSoft Composer is ideal:

MuleSoft Composer:

Use MuleSoft Composer to create a flow that triggers when a new record is created in NetSuite.

Configure the flow to update the corresponding record in Salesforce. This ensures that changes in NetSuite are automatically reflected in Salesforce.

Salesforce Flow:

Use Salesforce Flow to create a record-triggered flow that updates all dependent records whenever the primary Salesforce record is updated.

This flow can be set to trigger on updates to the primary record and include logic to identify and update all related records.

Combining MuleSoft Composer for integration and Salesforce Flow for in-Salesforce automation ensures that the entire process is streamlined and automated without requiring IT involvement.

MuleSoft Composer Documentation

Salesforce Flow Documentation

Answer : D

To implement built-in automated testing for new integrations at Any Airlines, the Anypoint Platform is the appropriate tool.

Anypoint Platform Capabilities:

Automated Testing: Anypoint Platform includes various tools such as MUnit for automated testing of Mule applications. MUnit allows developers to create, design, and run tests natively within Anypoint Studio.

Test Automation Features: It supports comprehensive testing features including unit tests, integration tests, and mock services to ensure robust and reliable integrations.

Continuous Integration and Deployment: Anypoint Platform can be integrated with CI/CD pipelines, allowing automated tests to run as part of the deployment process, ensuring that any new code changes do not break existing functionality.

Why Not Other Options:

MuleSoft RPA: Primarily used for automating repetitive manual tasks, not for testing integrations.

MuleSoft Composer: Focuses on low-code integrations and automation, not specifically designed for automated testing.

Flow Orchestration: While useful for process automation within Salesforce, it does not provide the testing capabilities required for MuleSoft integrations.

For detailed information on automated testing with Anypoint Platform and MUnit, refer to the official MuleSoft documentation

Answer : A, C

Avoid DML in For Loops: Placing DML (Data Manipulation Language) operations inside a loop can quickly exceed Salesforce governor limits, as each iteration performs a separate DML operation. It's best to collect records in a list and perform DML operations outside the loop.

Use Collection Variables: By looping through a collection variable and adding records to it, you can perform bulk DML operations, which are more efficient and less likely to hit governor limits.

Use Upsert Action: Using the upsert action can reduce the number of DML statements by combining insert and update operations. However, this strategy depends on the specific flow requirements and data structure.

DML Statements at the End: Consolidating DML operations to the end of the flow is advisable, but care should be taken to handle errors and exceptions appropriately.

Answer : C

Download the Analysis Package: The first step is to download the analysis package from the RPA Manager. This package contains logs and detailed execution data that are crucial for debugging.

Revert to Build Phase: Reverting the RPA process to the Build phase allows developers to make changes and debug the process. The Build phase is where the RPA process is designed and configured.

Import to RPA Builder: Import the analysis package into RPA Builder, which is the tool used to develop and debug RPA processes. This allows for a detailed investigation and identification of the root cause of the failure.

Debugging: Use the detailed logs and execution data within RPA Builder to step through the process, identify issues, and implement fixes. This is the most effective method for diagnosing and resolving issues in RPA processes.

Answer : C

To route cases based on specific criteria to different teams (sales, product, or technical support) using MuleSoft Composer, the Switch/Case component is the most appropriate choice:

Create a MuleSoft Composer Flow:

Start by creating a flow in MuleSoft Composer that triggers when a case is created or modified in Service Cloud.

Use the Switch/Case Component:

Add a Switch/Case component to the flow. This component allows you to define multiple conditions and route the flow based on these conditions.

Define the different case routing criteria (e.g., case type, priority) within the Switch/Case component. For each case, specify the condition that determines which team the case should be routed to.

Configure Notifications in Slack:

For each case defined in the Switch/Case component, configure the corresponding actions to send notifications to the appropriate Slack channels.

The Switch/Case component enables complex conditional logic, making it ideal for routing cases to different teams based on predefined criteria.

MuleSoft Composer Documentation