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Salesforce Certified MuleSoft Integration Associate Exam Sample Questions (Q31-Q36):
NEW QUESTION # 31
According to MuleSoft which deployment characteristic applies to a microservices application architecture?
Answer: D
Explanation:
Microservices architecture is designed to enhance flexibility, scalability, and maintainability by decomposing applications into small, independent services. Here's a detailed explanation:
* Independent Deployment:
* Definition: Each microservice is developed, deployed, and managed independently. This allows teams to work on different services without interfering with each other.
* Scalability: Services can be scaled independently based on demand, improving resource utilization and system resilience.
* Benefits:
* Flexibility: Enhances the ability to update or scale specific parts of an application without affecting the whole system.
* Resilience: Isolates failures to individual services, preventing cascading failures across the entire application.
* Technology Diversity: Allows the use of different technologies and languages best suited for each service.
References
* Microservices Architecture: What are Microservices?
* Benefits of Microservices: Microservices Characteristics
NEW QUESTION # 32
An integration architect is designing an API that must accept requests from API clients for both XML and JSON content over HTTP/1 1 by default.
Which API architectural style when used for its intended and typical purposes, should the architect choose to meet these requirements?
Answer: C
Explanation:
REST (Representational State Transfer) is an architectural style commonly used for designing networked applications, particularly APIs that need to handle multiple content types over HTTP. Here's a detailed explanation:
* Content Negotiation:
* Definition: REST APIs support content negotiation, allowing clients to request either XML or JSON formats by setting theAcceptheader in HTTP requests.
* Flexibility: This capability makes REST ideal for scenarios where an API needs to serve multiple content types.
* HTTP Protocol:
* Usage: REST APIs operate over HTTP/1.1, making them compatible with web standards and easily accessible by various clients (browsers, mobile apps, etc.).
* Methods: Supports standard HTTP methods like GET, POST, PUT, DELETE, allowing for CRUD operations.
* Advantages:
* Stateless: Each request from a client to server must contain all the information needed to understand and process the request.
* Scalability: RESTful services can handle a high load of requests efficiently.
References
* REST API Design:RESTful Web Services
* Content Negotiation:HTTP Content Negotiation
NEW QUESTION # 33
According to MuleSoft a synchronous invocation of a RESTful API using HTTP to gel an individual customer record from a single system is an example of which system integration interaction pattern?
Answer: A
Explanation:
In system integration, different interaction patterns are used depending on the communication requirements between systems. For a synchronous invocation of a RESTful API using HTTP to get an individual customer record from a single system, the Request-Reply pattern is used. Here's a detailed explanation:
* Request-Reply Pattern:
* Definition: This pattern involves a client sending a request to a server and waiting for a reply. The communication is synchronous, meaning the client waits for the server to process the request and send back the response.
* Typical Use Case: It is used when immediate feedback is required from the server, such as retrieving a specific customer record.
* RESTful API and HTTP:
* Synchronous Communication: HTTP is inherently synchronous, making it suitable for Request-Reply interactions where the client expects an immediate response.
* Data Retrieval: Commonly used for GET requests in RESTful APIs to retrieve data from a server.
* Example:
* Scenario: A client application requests customer details by making a GET request to a RESTful API endpoint. The server processes the request and returns the customer record.
References
* MuleSoft Documentation: Integration Patterns
* REST API Design: Request-Reply Pattern
NEW QUESTION # 34
An organization's IT team must secure all of the internal APIs within an integration solution by using an API proxy to apply required authentication and authorization policies Which integration technology, when used for its intended purpose should the team choose to meet these requirements if all other relevant factors are equal?
Answer: B
Explanation:
Securing internal APIs within an integration solution is critical for protecting sensitive data and ensuring proper access controls. The use of API proxies to apply authentication and authorization policies is a best practice in API security. Here's a detailed explanation:
* API Management (APIM):
* Purpose: API Management platforms are designed specifically to manage, secure, and monitor APIs. They provide tools for designing, publishing, securing, and analyzing APIs.
* Key Features:
* Security: APIM platforms offer robust security features such as OAuth, JWT, API keys, and IP whitelisting to authenticate and authorize API consumers.
* API Proxies: They allow the creation of API proxies which act as intermediaries between the client and the backend service. This enables enforcing security policies without modifying the backend API.
* Implementation:
* Authentication and Authorization Policies: Using APIM, the IT team can easily configure policies for authentication (e.g., OAuth 2.0) and authorization to control access to APIs.
* Policy Enforcement: These policies are enforced at the API proxy level, ensuring that only authenticated and authorized requests reach the backend services.
* Monitoring and Analytics: APIM platforms provide detailed analytics and monitoring capabilities to track API usage, detect anomalies, and ensure compliance.
References
* MuleSoft Documentation: API Security
* API Management Overview: What is API Management
NEW QUESTION # 35
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?
Answer: D
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.
References
* Kubernetes Documentation: Horizontal Pod Autoscaling
* Kubernetes Scalability: Understanding Kubernetes Scaling
NEW QUESTION # 36
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