MCIA-LEVEL-1 ORIGINAL QUESTIONS: MULESOFT CERTIFIED INTEGRATION ARCHITECT - LEVEL 1 & MCIA-LEVEL-1 ANSWERS REAL QUESTIONS & MCIA-LEVEL-1 EXAM CRAM

MCIA-Level-1 Original Questions: MuleSoft Certified Integration Architect - Level 1 & MCIA-Level-1 Answers Real Questions & MCIA-Level-1 Exam Cram

MCIA-Level-1 Original Questions: MuleSoft Certified Integration Architect - Level 1 & MCIA-Level-1 Answers Real Questions & MCIA-Level-1 Exam Cram

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The MCIA-Level-1 certification exam is ideal for integration architects, developers, and technical leads who are looking to advance their careers in the integration domain. MuleSoft Certified Integration Architect - Level 1 certification exam tests the candidate's ability to design, develop, and implement MuleSoft-based integration solutions that meet the business requirements of their organizations. The MCIA-Level-1 certification exam is also an excellent opportunity for professionals to demonstrate their expertise in the MuleSoft platform to potential employers.

The MCIA-Level-1 exam is a comprehensive assessment of an integration architect's ability to design and implement effective integration solutions using MuleSoft's Anypoint Platform. MCIA-Level-1 exam covers a wide range of topics, including design patterns, API design, data integration, security, and performance tuning. By passing the exam, integration architects can demonstrate their expertise in these areas and showcase their ability to deliver high-quality integration solutions.

The MCIA-Level-1 Certification Exam has been developed for integration architects, technical architects, and developers who work with MuleSoft's Anypoint Platform. MuleSoft Certified Integration Architect - Level 1 certification exam covers a wide range of topics, including Anypoint Platform architecture, API-led connectivity, data transformation, and error handling. MCIA-Level-1 exam is structured in a way that ensures that successful candidates have a deep understanding of MuleSoft's Anypoint Platform and can apply their knowledge to real-world integration scenarios.

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MuleSoft Certified Integration Architect - Level 1 Sample Questions (Q173-Q178):

NEW QUESTION # 173
Mule applications need to be deployed to CloudHub so they can access on-premises database systems. These systems store sensitive and hence tightly protected data, so are not accessible over the internet.
What network architecture supports this requirement?

  • A. An Anypoint VPC with one Dedicated Load Balancer fronting each on-premises database system, plus matching IP whitelisting in the load balancer and firewall rules in the VPC and on-premises network
  • B. Static IP addresses for the Mule applications deployed to the CloudHub Shared Worker Cloud, plus matching firewall rules and IP whitelisting in the on-premises network
  • C. Relocation of the database systems to a DMZ in the on-premises network, with Mule applications deployed to the CloudHub Shared Worker Cloud connecting only to the DMZ
  • D. An Anypoint VPC connected to the on-premises network using an IPsec tunnel or AWS DirectConnect, plus matching firewall rules in the VPC and on-premises network

Answer: D

Explanation:
* "Relocation of the database systems to a DMZ in the on-premises network, with Mule applications deployed to the CloudHub Shared Worker Cloud connecting only to the DMZ" is not a feasible option
* "Static IP addresses for the Mule applications deployed to the CloudHub Shared Worker Cloud, plus matching firewall rules and IP whitelisting in the on-premises network" - It is risk for sensitive data. - Even if you whitelist the database IP on your app, your app wont be able to connect to the database so this is also not a feasible option
* "An Anypoint VPC with one Dedicated Load Balancer fronting each on-premises database system, plus matching IP whitelisting in the load balancer and firewall rules in the VPC and on-premises network" Adding one VPC with a DLB for each backend system also makes no sense, is way too much work. Why would you add a LB for one system.
* Correct answer: "An Anypoint VPC connected to the on-premises network using an IPsec tunnel or AWS DirectConnect, plus matching firewall rules in the VPC and on-premises network" IPsec Tunnel You can use an IPsec tunnel with network-to-network configuration to connect your on-premises data centers to your Anypoint VPC. An IPsec VPN tunnel is generally the recommended solution for VPC to on-premises connectivity, as it provides a standardized, secure way to connect. This method also integrates well with existing IT infrastructure such as routers and appliances. Reference: https://docs.mulesoft.com/runtime-manager/vpc-connectivity-methods-concept


NEW QUESTION # 174
Mule applications need to be deployed to CloudHub so they can access on-premises database systems. These systems store sensitive and hence tightly protected data, so are not accessible over the internet.
What network architecture supports this requirement?

  • A. An Anypoint VPC with one Dedicated Load Balancer fronting each on-premises database system, plus matching IP whitelisting in the load balancer and firewall rules in the VPC and on-premises network
  • B. Static IP addresses for the Mule applications deployed to the CloudHub Shared Worker Cloud, plus matching firewall rules and IP whitelisting in the on-premises network
  • C. Relocation of the database systems to a DMZ in the on-premises network, with Mule applications deployed to the CloudHub Shared Worker Cloud connecting only to the DMZ
  • D. An Anypoint VPC connected to the on-premises network using an IPsec tunnel or AWS DirectConnect, plus matching firewall rules in the VPC and on-premises network

Answer: D


NEW QUESTION # 175
Refer to the exhibit.

A shopping cart checkout process consists of a web store backend sending a sequence of API invocations to an Experience API, which in turn invokes a Process API. All API invocations are over HTTPS POST. The Java web store backend executes in a Java EE application server, while all API implementations are Mule applications executing in a customer -hosted Mule runtime.
End-to-end correlation of all HTTP requests and responses belonging to each individual checkout Instance is required. This is to be done through a common correlation ID, so that all log entries written by the web store backend, Experience API implementation, and Process API implementation include the same correlation ID for all requests and responses belonging to the same checkout instance.
What is the most efficient way (using the least amount of custom coding or configuration) for the web store backend and the implementations of the Experience API and Process API to participate in end-to-end correlation of the API invocations for each checkout instance?

  • A. The web store backend, being a Java EE application, automatically makes use of the thread-local correlation ID generated by the Java EE application server and automatically transmits that to the Experience API using HTTP-standard headers No special code or configuration is included in the web store backend, Experience API, and Process API implementations to generate and manage the correlation ID
  • B. The Experience API implementation generates a correlation ID for each incoming HTTP request and passes it to the web store backend in the HTTP response, which includes it in all subsequent API invocations to the Experience API.
    The Experience API implementation must be coded to also propagate the correlation ID to the Process API in a suitable HTTP request header
  • C. The web store backend sends a correlation ID value in the HTTP request body In the way required by the Experience API The Experience API and Process API implementations must be coded to receive the custom correlation ID In the HTTP requests and propagate It in suitable HTTP request headers
  • D. The web store backend generates a new correlation ID value at the start of checkout andsets it on the X-CORRELATlON-ltHTTP request header In each API invocation belonging to that checkout No special code or configuration is included in the Experience API and Process API implementations to generate and manage the correlation ID

Answer: D


NEW QUESTION # 176
An organization is designing a Mule application to periodically poll an SFTP location for new files containing sales order records and then process those sales orders. Each sales order must be processed exactly once.
To support this requirement, the Mule application must identify and filter duplicate sales orders on the basis of a unique ID contained in each sales order record and then only send the new sales orders to the downstream system.
What is the most idiomatic (used for its intended purpose) Anypoint connector, validator, or scope that can be configured in the Mule application to filter duplicate sales orders on the basis of the unique ID field contained in each sales order record?

  • A. Configure an Idempotent Message Validator component to filter each record by the order ID
  • B. Configure a Cache scope to filter and store each record from the received file by the order ID
  • C. Configure a Database connector to filter and store each record by the order ID
  • D. Configure a watermark In an On New or Updated File event source to filter unique records by the order ID

Answer: A


NEW QUESTION # 177
An Order microservice and a Fulfillment microservice are being designed to communicate with their dients through message-based integration (and NOT through API invocations).
The Order microservice publishes an Order message (a kind of command message) containing the details of an order to be fulfilled. The intention is that Order messages are only consumed by one Mute application, the Fulfillment microservice.
The Fulfilment microservice consumes Order messages, fulfills the order described therein, and then publishes an OrderFulfilted message (a kind of event message). Each OrderFulfilted message can be consumed by any interested Mule application, and the Order microservice is one such Mute application.
What is the most appropriate choice of message broker(s) and message destination(s) in this scenario?

  • A. Older messages are sent directly to the Fulfillment microservices
    OrderFulfilled messages are sent directly to the Order microservice
    The Order microservice Interacts with one AMQP-compatible message broker and the Fulfillment microservice Interacts with a different AMQP-compatible message broker, so that both message brokers can be chosen and scaled to best support the toad each microservice
  • B. Order messages are sent to a JMS queue OrderFulfilled messages are sent to a JMS topic Both microservices Interact with the same JMS provider (message broker) Instance, which must therefore scale to support the load of both microservices
  • C. Order messages are sent to a JMS queue OrderFulfilled messages are sent to a JMS topic The Order microservice Interacts with one JMS provider (message broker) and the Fulfillment microservice interacts with a different JMS provider, so that both message brokers can be chosen and scaled to best support the load of each microservice
  • D. O Order messages are sent to an Anypoint MQ exchange
    OrderFulfilted messages are sent to an Anypoint MQ queue
    Both microservices interact with Anypoint MQ as the message broker, which must therefore scale to support the toad of both microservices

Answer: B


NEW QUESTION # 178
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