TOP MCIA-LEVEL-1 LATEST DUMPS EBOOK - VALID MULESOFT VALID MCIA-LEVEL-1 EXAM LABS: MULESOFT CERTIFIED INTEGRATION ARCHITECT - LEVEL 1

TOP MCIA-Level-1 Latest Dumps Ebook - Valid MuleSoft Valid MCIA-Level-1 Exam Labs: MuleSoft Certified Integration Architect - Level 1

TOP MCIA-Level-1 Latest Dumps Ebook - Valid MuleSoft Valid MCIA-Level-1 Exam Labs: MuleSoft Certified Integration Architect - Level 1

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How to Prepare For MuleSoft mcia - Level 1: MuleSoft Certified Integration Architect - Level 1 Exam

Preparation Guide for MuleSoft mcia - Level 1: MuleSoft Certified Integration Architect - Level 1 Exam

Introduction

MuleSoft has a unique community. Individuals can go ahead and appear for certification which they find suitable as per their expertise and skillset. MuleSoft also recognizes that the community is an important way to engage with its customer base.

Certification is evidence of your skills, expertise in those areas in which you like to work. If a candidate wants to work on MuleSoft mcia - Level 1: MuleSoft Certified Integration Architect - Level 1 and prove his knowledge, Certification offered by MuleSoft. This MuleSoft mcia - Level 1: MuleSoft Certified Integration Architect - Level 1 Individuals Qualification Certification helps a candidate to validates his skills in MuleSoft mcia - Level 1: MuleSoft Certified Integration Architect - Level 1. In this guide, we will cover mcia-level-1 practice exams and all the aspects of mcia-level-1 exam dumps.

MuleSoft Certified Integration Architect - Level 1 Sample Questions (Q205-Q210):

NEW QUESTION # 205
An organization heeds to procure an enterprise software system to increase cross-selling opportunities and better rack prospect data.
Which category of enterprise software has these core capabilities, when used for its typical and intended purpose?

  • A. Supply Chain Management (SCM)
  • B. Business-to-Business (A2B)
  • C. IT Service Management (ITSM)
  • D. Customer Relationship Management (CRM)

Answer: D

Explanation:
Customer Relationship Management (CRM) systems are designed to manage a company's interactions with current and potential customers. They provide capabilities for tracking prospect data, managing customer interactions, and analyzing customer information to improve cross-selling opportunities. By using a CRM system, organizations can consolidate customer information, enhance customer relationships, and leverage data analytics to drive sales and marketing efforts.
References:
* What is CRM?
* Benefits of CRM Systems


NEW QUESTION # 206
An integration Mute application is being designed to process orders by submitting them to a backend system for offline processing. Each order will be received by the Mute application through an HTTPS POST and must be acknowledged immediately. Once acknowledged, the order will be submitted to a backend system. Orders that cannot be successfully submitted due to rejections from the backend system will need to be processed manually (outside the backend system).
The Mule application will be deployed to a customer-hosted runtime and is able to use an existing ActiveMQ broker if needed.
The backend system has a track record of unreliability both due to minor network connectivity issues and longer outages.
What idiomatic (used for their intended purposes) combination of Mule application components and ActiveMQ queues are required to ensure automatic submission of orders to the backend system, while minimizing manual order processing?

  • A. An On Error scope MuleSoft Object Store ActiveMQ Dead Letter Queue for manual processing
  • B. An On Error scope Non-persistent VM ActiveMQ Dead Letter Queue for manual processing
  • C. Until Successful component ActiveMQ long retry Queue ActiveMQ Dead Letter Queue for manual processing
  • D. Until Successful component MuleSoft Object Store ActiveMQ is NOT needed or used

Answer: C

Explanation:
Correct answer is using below set of activities Until Successful component ActiveMQ long retry Queue ActiveMQ Dead Letter Queue for manual processing We will see why this is correct answer but before that lets understand few of the concepts which we need to know. Until Successful Scope The Until Successful scope processes messages through its processors until the entire operation succeeds. Until Successful repeatedly retries to process a message that is attempting to complete an activity such as: - Dispatching to outbound endpoints, for example, when calling a remote web service that may have availability issues. - Executing a component method, for example, when executing on a Spring bean that may depend on unreliable resources. - A sub-flow execution, to keep re-executing several actions until they all succeed, - Any other message processor execution, to allow more complex scenarios. How this will help requirement : Using Until Successful Scope we can retry sending the order to backend systems in case of error to avoid manual processing later. Retry values can be configured in Until Successful Scope Apache ActiveMQ It is an open source message broker written in Java together with a full Java Message Service client ActiveMQ has the ability to deliver messages with delays thanks to its scheduler. This functionality is the base for the broker redelivery plug-in. The redelivery plug-in can intercept dead letter processing and reschedule the failing messages for redelivery. Rather than being delivered to a DLQ, a failing message is scheduled to go to the tail of the original queue and redelivered to a message consumer. How this will help requirement : If backend application is down for a longer duration where Until Successful Scope wont work, then we can make use of ActiveMQ long retry Queue. The redelivery plug-in can intercept dead letter processing and reschedule the failing messages for redelivery. Mule Reference: https://docs.mulesoft.com/mule-runtime/4.3/migration-core-until-successful


NEW QUESTION # 207
A set of integration Mule applications, some of which expose APIs, are being created to enable a new business process. Various stakeholders may be impacted by this. These stakeholders are a combination of semi- technical users (who understand basic integration terminology and concepts such as JSON and XML) and technically skilled potential consumers of the Mule applications and APIs.
What is an effective way for the project team responsible for the Mule applications and APIs being built to communicate with these stakeholders using Anypoint Platform and its supplied toolset?

  • A. Create Anypoint Exchange entries with pages elaborating the integration design, including API notebooks (where applicable) to help the stakeholders understand and interact with the Mule applications and APIs at various levels of technical depth
  • B. Use Anypoint Design Center to implement the Mule applications and APIs and give the various stakeholders access to these Design Center projects, so they can collaborate and provide feedback
  • C. Capture documentation about the Mule applications and APIs inline within the Mule integration flows and use Anypoint Studio's Export Documentation feature to provide an HTML version of this documentation to the stakeholders
  • D. Use Anypoint Exchange to register the various Mule applications and APIs and share the RAML definitions with the stakeholders, so they can be discovered

Answer: D

Explanation:
Explanation/Reference:


NEW QUESTION # 208
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


NEW QUESTION # 209
A manufacturing company plans to deploy Mule applications to its own
Azure Kubernetes service infrastructure.The organization wants to make
the Mule applications more available and robust by deploying each Mule
application to an isolated Mule runtime in a Docker container while
managing all the Mule applications from the MuleSoft-hosted control plane.
What choice of runtime plane meets these organizational requirements?

  • A. Anypoint Runtime Fabric
  • B. CloudHub 2.0
  • C. Anypoint Service Mesh
  • D. Customer-hosted self-provisioned runtime plane

Answer: A

Explanation:
Anypoint Runtime Fabric is the appropriate choice for deploying Mule applications in an isolated Mule runtime within Docker containers on an Azure Kubernetes Service (AKS) infrastructure. This solution provides a containerized and orchestrated environment managed from the MuleSoft-hosted control plane. It enhances the availability, scalability, and robustness of Mule applications by allowing fine-grained control over deployments and providing built-in support for high availability and fault tolerance.
References:
* Anypoint Runtime Fabric Overview
* Deploying Mule Applications to Kubernetes


NEW QUESTION # 210
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