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[Hardware] Reliable Salesforce-MuleSoft-Associate Practice Materials - Salesforce-MuleSoft-

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【Hardware】 Reliable Salesforce-MuleSoft-Associate Practice Materials - Salesforce-MuleSoft-

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Salesforce Salesforce-MuleSoft-Associate Exam Syllabus Topics:
TopicDetails
Topic 1
  • Recognize and interpret essential integration concepts and terminology: This section evaluates the competency of a Platform Specialist and covers fundamental terms and technical knowledge essential for integration. It includes differentiating cloud service models such as IaaS, PaaS, and SaaS, and the supporting infrastructure such as computing, storage, and scalability principles. The domain further explores network protocols, data formats like XML and JSON, and security concepts in API and enterprise systems. A detailed understanding of HTTP mechanics, RESTful services, and classifications of API types such as GraphQL and AsyncAPI is expected. It also introduces precise terminology necessary for defining API roles and interactions.
Topic 2
  • Explain the common technical complexities and patterns in integration development: This section tests the expertise of a Platform Specialist and explores various technical patterns and complexities found in integration development. It includes a comparative review of interaction patterns such as batch, stream, and multicast, as well as integration composition styles like orchestration and choreography. The section emphasizes the use of design-first API development, observability practices, and log management. It also introduces architecture concepts such as microservices versus monolithic deployment, hybrid and cloud infrastructure, and the roles of API gateways and service meshes.
Topic 3
  • Describe the components and benefits of Anypoint Platform for API management: This section of the exam is designed for Integration Architects and focuses on MuleSoft’s approach to API management. It outlines the primary components of Anypoint Platform that facilitate full lifecycle API development, including Universal API Management. The content highlights how the platform supports API-led connectivity and compares it with traditional API management approaches, emphasizing its superiority in delivering scalable and manageable enterprise APIs.

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Salesforce Certified MuleSoft Associate Sample Questions (Q25-Q30):NEW QUESTION # 25
An IT integration team followed an API-led connectivity approach to implement an order-fulfillment business process It created an order processing API that coordinates stateful interactions with a variety of microservices that validate, create and fulfill new product orders.
Which interaction composition pattern did the integration architect who designed this order processing API use?
  • A. Orchestration
  • B. Aggregation
  • C. Streaming
  • D. Multicasting
Answer: A
Explanation:
In an API-led connectivity approach, different APIs are layered to provide modular and reusable services. For an order processing API that coordinates stateful interactions with various microservices, the integration architect used the orchestration interaction composition pattern. Here's a step-by-step explanation:
Understanding Orchestration:
Definition: Orchestration involves coordinating multiple services to achieve a complex business workflow. Unlike choreography, which relies on each service knowing its part, orchestration uses a central controller to manage the interactions.
Role of the Orchestrator: The orchestrator manages the execution sequence, handles the state, and ensures all the necessary steps are completed successfully.
Order Processing API:
API-Led Connectivity: An order processing API, following API-led connectivity, sits in the Process layer, handling complex business processes and logic.
Stateful Interactions: Orchestration is particularly suitable for stateful interactions where the process needs to remember the state between steps, such as validating an order, creating it, and fulfilling it.
Implementation Steps:
Microservices Interaction: The order processing API interacts with various microservices:
Validation Microservice: Checks the validity of the order details.
Creation Microservice: Creates the order in the system.
Fulfillment Microservice: Manages the order fulfillment process.
Coordination: The API orchestrates these steps, ensuring each one completes successfully before moving to the next, handling exceptions, and maintaining the state of the process.
MuleSoft Documentation: Orchestration Pattern
API-led Connectivity: MuleSoft API-led Connectivity

NEW QUESTION # 26
Which key DevOps practice and associated Anypoint Platform component should a MuleSoft integration team adopt to improve delivery quality?
  • A. Manual testing with Anypoint Studio
  • B. Passive monitoring with Anypoint Monitoring
  • C. Automated testing with MUnit
  • D. Continuous design with API Designer
Answer: C
Explanation:
To improve delivery quality, a key DevOps practice is automated testing. Within the Anypoint Platform, MUnit is the tool specifically designed for this purpose. Here's a step-by-step explanation:
Automated Testing:
Definition: Automated testing involves using software tools to execute tests on the application automatically, ensuring that the code works as expected.
Benefits: It increases efficiency, consistency, and coverage of tests, reducing the risk of human error.
MUnit:
Integration Testing: MUnit is MuleSoft's integrated testing framework for applications built with Anypoint Studio. It allows developers to create and run tests for Mule applications, ensuring they function correctly.
Features:
Test Cases: Create comprehensive test cases to validate various parts of the Mule application.
Mocking: Mock external systems and dependencies, enabling isolated testing of application components.
Assertions: Validate the behavior of Mule flows with assertions.
Implementation Steps:
Design Tests: Within Anypoint Studio, design MUnit tests to cover different scenarios and edge cases of the Mule flows.
Run Tests: Execute these tests automatically during the CI/CD pipeline to ensure that new code changes do not break existing functionality.
Continuous Integration: Integrate MUnit tests with CI tools like Jenkins, Bamboo, or GitLab CI for continuous testing.
MuleSoft Documentation: MUnit
DevOps Practices: MuleSoft DevOps

NEW QUESTION # 27
Which Anypoint Platform component helps integration developers discover and share reusable APIs, connectors and templates'?
  • A. Anypoint Exchange
  • B. Anypoint Studio
  • C. API Manager
  • D. Design Center
Answer: A
Explanation:
Anypoint Exchange is a component of the Anypoint Platform that helps integration developers discover and share reusable APIs, connectors, and templates. Here's a detailed explanation:
Anypoint Exchange:
Purpose: Acts as a centralized repository for discovering, sharing, and reusing APIs, connectors, templates, and other integration assets.
Discovery: Developers can search for and find existing APIs, connectors, and templates within the organization or from the wider MuleSoft community.
Sharing: Allows developers to publish their APIs and assets, making them available for reuse by others in the organization.
Benefits:
Reusability: Promotes reuse of existing assets, reducing development time and effort.
Collaboration: Facilitates collaboration and sharing of best practices among development teams.
Documentation: Provides comprehensive documentation and usage examples for each asset.
MuleSoft Documentation: Anypoint Exchange
Anypoint Platform Features: Discover and Share with Exchange

NEW QUESTION # 28
As part of a growth strategy a supplier signs a trading agreement with a large customer The customer sends purchase orders to the supplier according to the ANSI X12 EDI standard and the supplier creates the orders in its ERP system using the information in the EDI document The agreement also requires that the supplier provide a new RESTful API to process requests from the customer for current product inventory levels from the supplier's ERP system.
Which two fundamental integration use cases does the supplier need to deliver to provide an end-to-end solution for this business scenario? (Choose two.)
  • A. Data mashups
  • B. User interface integration
  • C. Streaming data ingestion
  • D. Sharing data with external partners
  • E. Synchronized data transfer
Answer: D,E
Explanation:
To deliver an end-to-end solution for the described business scenario, the supplier needs to address both EDI processing and providing real-time data through a RESTful API. Here's a detailed explanation:
Sharing Data with External Partners:
EDI Integration: The supplier needs to process ANSI X12 EDI purchase orders from the customer and convert them into a format suitable for the ERP system.
Partner Integration: Establishing secure and reliable data exchanges with the customer is crucial for seamless transactions.
Synchronized Data Transfer:
Real-Time API: Providing a RESTful API to allow the customer to query current product inventory levels from the supplier's ERP system.
Data Consistency: Ensuring that the data provided through the API is accurate and up-to-date, reflecting the current state of the ERP system.
MuleSoft Documentation: EDI Integration
REST API Design: Designing APIs
Data Synchronization: Real-Time Integration

NEW QUESTION # 29
A Kubernetes controller automatically adds another pod replica to the resource pool in response to increased application load Which scalability option is the controller implementing?
  • A. Vertical
  • B. Horizontal
  • C. Diagonal
  • D. Down
Answer: B
Explanation:
Kubernetes offers several scalability options to handle varying application loads. The scenario described involves adding another pod replica in response to increased load, which is a form of horizontal scaling. Here's a detailed explanation:
Horizontal Scaling:
Definition: Horizontal scaling, also known as scaling out, involves adding more instances (pods) to distribute the load and increase capacity.
Implementation in Kubernetes: Kubernetes uses controllers like the Horizontal Pod Autoscaler (HPA) to automatically adjust the number of pod replicas based on observed CPU utilization or other select metrics.
Benefits:
Load Distribution: By adding more pod replicas, the load is evenly distributed, reducing the risk of any single pod being overwhelmed.
Fault Tolerance: Horizontal scaling enhances fault tolerance and availability, as multiple pod replicas can handle requests if one fails.
Automatic Scaling:
Kubernetes Controller: The HPA continuously monitors the application load and adjusts the number of pod replicas accordingly, ensuring optimal performance.
Kubernetes Documentation: Horizontal Pod Autoscaling
Kubernetes Scalability: Understanding Kubernetes Scaling

NEW QUESTION # 30
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