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Salesforce Certified MuleSoft Integration Associate Exam Sample Questions (Q26-Q31):

NEW QUESTION # 26
In which order are the API Client API Implementation and API Interface components called m a typical REST request?

A. API Implementation > API Interface > API Client
B. API Client > API Implementation > API Interface
C. API Client > API Interface > API Implementation
D. API Interface > API Client > API Implementation

Answer: C

Explanation:
In a typical REST request, the components are called in a specific order to handle the client's request and provide the response. Here's the order and detailed explanation:
* API Client:
* Initiates Request: The client (e.g., web or mobile application) sends a request to the API endpoint.
* API Interface:
* Gateway/Proxy: This layer is typically managed by an API gateway or proxy, which handles the incoming request, applies security policies, and routes it to the appropriate backend service.
* Responsibilities: Includes request validation, rate limiting, authentication, and authorization.
* API Implementation:
* Backend Service: The actual implementation of the API logic resides here. It processes the request, interacts with the necessary databases or external services, and generates the response.
References
* REST API Design:RESTful Web Services
* API Gateway: What is an API Gateway?

NEW QUESTION # 27
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?

A. API Management (APIM)
B. Integration Platform-as-a-Service (iPaaS)
C. Robotic Process Automation (RPA)
D. Electronic Data Interchange (EDI)

Answer: A

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 # 28
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?

A. GraphQL
B. SOAP
C. gRPC
D. REST

Answer: D

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 # 29
A system administrator needs to determine when permissions were last changed for an Anypoint Platform user.
Which Anypoint Platform component should the administrator use to obtain this information?

A. Audit Logging
B. Mule Stack Traces
C. Anypoint Monitoring
D. Anypoint Studio

Answer: A

NEW QUESTION # 30
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. Down
C. Diagonal
D. Horizontal

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 # 31
......

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