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Salesforce certification MuleSoft-Integration-Associate exam targeted training

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Salesforce Certified MuleSoft Integration Associate Exam Sample Questions (Q15-Q20):

NEW QUESTION # 15
According to MuleSoftwhich principle Is common to both Service Oriented Architecture (SOA) and API-Jed connectivity approaches*?

A. Service statefulness
B. Service reusability
C. Service centralization
D. Service interdependence

Answer: B

Explanation:
Both Service-Oriented Architecture (SOA) and API-led connectivity emphasize the principle of service reusability. Here's a detailed explanation:
* Service Reusability:
* Definition: Service reusability is the principle where services are designed to be reusable across different applications and use cases.
* SOA: In SOA, services are modular components that can be reused in various business processes, reducing redundancy and promoting efficient service composition.
* API-led Connectivity: This approach also stresses creating reusable APIs (System APIs, Process APIs, Experience APIs) that can be leveraged across multiple projects and applications.
* Benefits:
* Efficiency: Reduces development time and effort by reusing existing services.
* Consistency: Ensures consistency in business logic and data access across different applications.
* Scalability: Facilitates scaling by using standardized and reusable services/APIs.
References
* MuleSoft Documentation: SOA vs. API-led Connectivity
* Service Reusability: Principles of Service Reusability

NEW QUESTION # 16
According to MuleSoft which deployment characteristic applies to a microservices application architecture?

A. All services of an application can be deployed together as single Java WAR file
B. A deployment to enhance one capability requires a redeployment of all capabilities
C. Core business capabilities are encapsulated in a single deployable application
D. Services exist as independent deployment artifacts and can be scaled independently of other services

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 # 17
In preparation for a digital transformation initiative an organization is reviewing related IT integration projects that failed for various reasons According to MuleSoft's surveys of global IT leaders, what is a common cause of IT project failure that this organization may likely discover in its assessment?

A. Spending too much time on enablement
B. Following an Agile delivery methodology
C. Reliance on an Integration-Platform-as-a-Service (iPaaS)
D. Lack of alignment around business outcomes

Answer: D

Explanation:
One common cause of IT project failure identified by MuleSoft's surveys of global IT leaders is the lack of alignment around business outcomes. Here's a detailed explanation:
* Lack of Alignment:
* Definition: This occurs when IT projects are not clearly linked to the organization's strategic goals and business objectives.
* Impact: Misalignment can lead to projects that do not deliver the intended business value, resulting in wasted resources and failed initiatives.
* Common Causes:
* Poor Communication: Lack of effective communication between business stakeholders and IT teams can lead to misunderstandings and misaligned priorities.
* Undefined Objectives: Projects without clearly defined business outcomes and success metrics struggle to demonstrate value and justify investments.
* Solution:
* Business-IT Collaboration: Foster strong collaboration between business and IT to ensure projects are aligned with strategic goals.
* Outcome-Focused Planning: Define clear business outcomes and success criteria at the outset of each project.
References
* MuleSoft Surveys: State of IT Digital Transformation
* Causes of IT Project Failure: Common Reasons for Project Failure

NEW QUESTION # 18
An organization's IT learn follows an API-led connectivity approach and must use Anypomt Platform to implement a System API that securely accesses customer data The organization uses Salesforce as the system of record for all customer data and its most important objective is to reduce the overall development time to release the System API The team's integration architect has identified four different approaches to access the customer data from within the implementation of the System API by using different Anypoint Connectors that all meet the technical requirements of the project Which approach should the team choose to meet the organization's objective to reduce the time to develop and release the System API?

A. Use the Anypoint Connector for Database to connect to a MySQL database to access a copy of the customer data
B. Use the Anypoint Connector for Salesforce to connect to the Salesforce APIs to directly access the customer data
C. Use the Anypoint Connector for FTP to download a file containing a recent near-real time extract of the customer data
D. Use the Anypoint Connector for HTTP to connect to the Salesforce APIs to directly access the customer data

Answer: B

Explanation:
In an API-led connectivity approach, using the most efficient method to access system data can significantly reduce development time. Here's why using the Anypoint Connector for Salesforce is the best approach:
* Direct Access:
* Salesforce APIs: The Anypoint Connector for Salesforce provides direct access to Salesforce APIs, allowing the System API to retrieve customer data efficiently and securely.
* No Middleware: Directly accessing Salesforce eliminates the need for intermediary steps, reducing complexity and potential points of failure.
* Reduced Development Time:
* Out-of-the-Box Functionality: The connector offers pre-built operations and functionalities tailored for Salesforce, speeding up development.
* Configuration Over Coding: Using the connector involves minimal configuration compared to coding custom integration logic, leading to faster implementation.
* Security:
* Built-in Security: The connector handles authentication and authorization, ensuring secure data access in line with Salesforce security protocols.
* Alternative Approaches:
* HTTP Connector: While functional, it requires more custom handling for Salesforce API interactions and error management.
* Database Connector: Accessing a database copy of Salesforce data may involve data synchronization challenges and does not provide real-time data.
* FTP Connector: Using FTP for data extracts is less efficient and introduces delays in accessing up-to-date information.
References
* MuleSoft Documentation: Salesforce Connector
* API-led Connectivity: MuleSoft API-led Connectivity

NEW QUESTION # 19
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 # 20
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