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

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 : D

RAML Definition Creation: The first step in creating a new API as per MuleSoft best practices is to create a RAML (RESTful API Modeling Language) definition in the Design Center. This step is critical as it outlines the API's structure, endpoints, methods, and data types, providing a clear blueprint for subsequent development.

Project Creation in Anypoint Studio: Once the RAML definition is created, the next step would be to generate the API project in Anypoint Studio. This IDE allows developers to implement the API logic as defined in the RAML.

Mule Runtime Installation: Installing Mule runtime is necessary for running and testing Mule applications locally. However, this step is secondary to defining the API's structure.

Case Creation in Salesforce: Creating a case in Salesforce is not relevant to the API development process but may be necessary for support or project management purposes.

Answer : B

Anypoint Runtime Fabric: Anypoint Runtime Fabric (RTF) is designed for deploying Mule applications on any cloud infrastructure, including AWS. It supports vertical and horizontal scalability and enables zero-downtime deployments, which aligns with AnyAirlines' requirements.

Vertical/Horizontal Scalability: RTF allows scaling applications both vertically (adding more resources to existing nodes) and horizontally (adding more nodes to the cluster). This ensures high availability and performance.

Zero Downtime Deployments: RTF supports zero-downtime deployments by utilizing rolling updates and canary deployments, ensuring that updates do not disrupt ongoing operations.

AWS Integration: RTF can be deployed on AWS, leveraging existing cloud infrastructure capabilities and providing a seamless integration experience.

Answer : C

The component of Anypoint Platform responsible for enforcing API policies is the API Gateway:

API Gateway:

The API Gateway is a runtime component that enforces policies applied to APIs. It acts as an intermediary that manages API traffic, security, and performance by applying the policies configured in API Manager.

Policies such as rate limiting, security, transformation, and monitoring are enforced at the API Gateway to ensure that APIs are accessed securely and efficiently.

Anypoint Platform API Gateway Documentation

Answer : B, C

When developing an RPA process using RPA Recorder, it is essential to be mindful of the following best practices concerning the autogenerated workflow code:

Replace Autogenerated Code:

Robustness: Some of the autogenerated code may not be optimized for robustness or specific use cases. It is often necessary to review and replace parts of the autogenerated workflow with more robust or specialized action steps to ensure reliability and accuracy.

Specialization: Customizing the workflow to fit the specific requirements of the process can improve performance and handle exceptions better.

Remove Sensitive Information:

Sensitive Data: Autogenerated workflows might capture sensitive information such as usernames, passwords, or other confidential data. It is crucial to identify and remove or mask this information before deploying the RPA process to production to maintain security and compliance.

Compliance: Ensuring that sensitive information is handled appropriately helps in adhering to data protection regulations and organizational policies.

MuleSoft RPA Documentation

Answer : D

When using MuleSoft RPA Recorder to gather steps required for interacting with a website, it automatically collects documentation on the elements used by the user during the process.

MuleSoft RPA Recorder:

Automatic Element Documentation: The RPA Recorder captures all the elements (e.g., buttons, fields, and other UI components) that the user interacts with during the manual process recording.

Metadata Collection: It collects metadata such as element IDs, types, and positions, which are essential for accurately replicating the manual actions during automation.

Why Not Other Options:

Variable Information: While variable information is important, it is not the primary focus of the RPA Recorder. Variables can be defined post-recording.

Conditional Decisions: Conditional logic is typically added during the design phase of the RPA script, not during the initial recording.

Comments: User comments on the purpose of steps are not automatically recorded; this information needs to be added manually.

For more detailed information on how MuleSoft RPA Recorder works, refer to MuleSoft's official RPA 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.