Salesforce Mule-Dev-202勉強方法、Mule-Dev-202シュミレーション問題集

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Salesforce Mule-Dev-202 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: AI and Cognitive Services15%- AI Fundamentals
  • 1. Explain the role of AI in hyperautomation
  • 2. Identify common AI and ML use cases
  • 3. Describe the difference between supervised and unsupervised learning
- MuleSoft AI Tools
  • 1. Process unstructured data with AI
  • 2. Integrate AI services using MuleSoft connectors
  • 3. Use Einstein AI capabilities within flows
Topic 2: RPA (Robotic Process Automation)25%- RPA Concepts
  • 1. Define RPA and its use cases
  • 2. Identify the benefits of RPA in hyperautomation
  • 3. Explain the difference between attended and unattended RPA
- RPA Development
  • 1. Integrate RPA with other systems and APIs
  • 2. Create RPA processes using MuleSoft RPA Builder
  • 3. Define automation steps and logic
- MuleSoft RPA Manager
  • 1. Configure and manage RPA bots
  • 2. Describe the components of MuleSoft RPA Manager
  • 3. Monitor RPA bot performance and execution
Topic 3: Hyperautomation Foundations20%- Hyperautomation Concepts and Components
  • 1. Explain the role of APIs in hyperautomation
  • 2. Define hyperautomation and its components
  • 3. Identify use cases for hyperautomation
  • 4. Describe the benefits of hyperautomation
- MuleSoft Hyperautomation Architecture
  • 1. Explain the role of RPA, AI, and integration in hyperautomation
  • 2. Describe the components of the MuleSoft Hyperautomation platform
  • 3. Identify the key capabilities of MuleSoft Composer
Topic 4: MuleSoft Composer25%- Building Flows
  • 1. Create a flow using the Composer UI
  • 2. Add and configure actions in a flow
  • 3. Configure triggers for automated execution
  • 4. Use data transformation and mapping
- Composer Basics
  • 1. Identify the components of a Composer flow
  • 2. Explain the difference between triggers and actions
  • 3. Describe the key features of MuleSoft Composer
- Error Handling and Testing
  • 1. Implement error handling in Composer flows
  • 2. Monitor flow execution and performance
  • 3. Test and debug Composer flows
Topic 5: Integration and Connectivity15%- Connectors and Integration
  • 1. Use pre-built connectors in Composer and RPA
  • 2. Handle authentication and security
  • 3. Configure connections to third-party systems
- API-led Connectivity
  • 1. Design APIs for hyperautomation use cases
  • 2. Explain the three layers of API-led connectivity
  • 3. Reuse APIs across multiple automation projects

>> Salesforce Mule-Dev-202勉強方法 <<

実用的Mule-Dev-202勉強方法 & 資格試験のリーダー & 人気の有るMule-Dev-202: Salesforce Certified MuleSoft Hyperautomation Developer

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Salesforce Certified MuleSoft Hyperautomation Developer 認定 Mule-Dev-202 試験問題 (Q11-Q16):

質問 # 11
Northern Trail Outfitters needs to develop an application network that follows a MuleSoft-recommended, API- led connectivity approach and meets the following requirements:
provides data to mobile and web interfaces
aggregates and transforms data
retrieves data from databases
In which API tier should the data aggregation and transformation take place?

正解:B

解説:
API-led Connectivity:MuleSoft's API-led connectivity approach divides APIs into three tiers: System, Process, and Experience. Each tier has a specific role in managing data and operations.
Reference:MuleSoft API-led Connectivity
Experience APIs:These APIs are designed to provide data to end-user interfaces, such as mobile and web applications. They typically format the data in a way that is easy for the user interface to consume.
Reference:Experience API Definition
Process APIs:Process APIs are responsible for orchestrating and executing business logic. They aggregate, transform, and process data from multiple sources before passing it to Experience APIs or other downstream systems.
Reference:Process API Role
System APIs:These APIs provide direct access to core systems and data sources. They handle CRUD (Create, Read, Update, Delete) operations and expose data from underlying systems.
Reference:System API Role
Data Aggregation and Transformation:Given the requirements to aggregate and transform data, the Process tier is the appropriate place. Process APIs handle complex business logic and data transformation, making them ideal for aggregating data from multiple sources and transforming it as needed.
Reference:Process APIs and Data Transformation


質問 # 12
Which MuleSoft deployment strategy consists of the control plane and runtime plan hosted by the client?

正解:A

解説:
A hybrid deployment strategy in MuleSoft involves hosting the control plane (Anypoint Platform management and design tools) in the cloud, while the runtime plane (where Mule applications run) is hosted by the client, either on-premises or in their own private cloud:
Hybrid Deployment:
The control plane is managed by MuleSoft and provides centralized management, monitoring, and deployment capabilities.
The runtime plane is hosted by the client, providing flexibility and control over where and how the Mule applications are executed, whether on-premises or in a private cloud environment.
Benefits:
This approach combines the advantages of cloud-based management with the control and customization available in on-premises or private cloud deployments, making it suitable for organizations with specific hosting and compliance requirements.
References:
MuleSoft Hybrid Deployment Documentation


質問 # 13
AnyAirlines is developing an RPA process and is implementing testing best practices. They want to take the RPA process through rigorous testing.
During these tests, where do RPA process test plans execute?

正解:A

解説:
During testing of an RPA process, test plans are executed on a configured RPA Bot. This allows you to simulate real-world scenarios and ensure the RPA process works correctly under various conditions:
On a Configured RPA Bot:
RPA Bots are configured to execute the automated tasks defined in the RPA process. By running test plans on these bots, you can verify the functionality and performance of the RPA process.
This approach ensures that the RPA process is thoroughly tested in an environment that closely mirrors production conditions.
References:
MuleSoft RPA Documentation


質問 # 14
AnyAirlines has an RPA process that is failing in Production.
According to best practices, how should they debug the failure?

正解:B

解説:
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.
Reference:MuleSoft RPA Manager Documentation
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.
Reference:MuleSoft RPA Lifecycle
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.
Reference:MuleSoft RPA Builder Guide
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.
Reference:RPA Debugging Techniques


質問 # 15
Northern Trail Outfitters (NTO) has outgrown its custom Extract-Transform-Load (ETL) solution and needs to migrate its ETL jobs to a new tool. One of the requirements is a single interface to view and manage the ETL jobs. Some of these ETL jobs interact with systems that are hosted on-premises.
According to Salesforce's hyperautomation best practices, how should Salesforce's various hyperautomation solutions be combined to meet NTO's requirements?

正解:A

解説:
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.
References:
Anypoint Platform Documentation
Anypoint Exchange Documentation


質問 # 16
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