MCIA-LEVEL-1 BRAINDUMP PDF - VALID MCIA-LEVEL-1 EXAM DURATION

MCIA-Level-1 Braindump Pdf - Valid MCIA-Level-1 Exam Duration

MCIA-Level-1 Braindump Pdf - Valid MCIA-Level-1 Exam Duration

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Tags: MCIA-Level-1 Braindump Pdf, Valid MCIA-Level-1 Exam Duration, New MCIA-Level-1 Exam Testking, MCIA-Level-1 Reliable Practice Materials, New MCIA-Level-1 Test Braindumps

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To become an MCIA-Level-1 certified integration architect, candidates must pass a rigorous exam that covers a wide range of topics, including design and architecture, data integration, API development, and deployment. MCIA-Level-1 Exam is designed to test candidates' ability to design and implement scalable, high-performance integration solutions that meet the needs of their organizations.

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The MCIA-Level-1 Exam is a certification program that validates the knowledge and skills of integration architects in developing MuleSoft-based solutions. It covers a wide range of topics and is vendor-neutral, making it a valuable certification for integration architects looking to showcase their expertise. By obtaining this certification, integration architects can demonstrate their expertise to employers and clients and gain a competitive advantage in the job market.

MuleSoft Certified Integration Architect - Level 1 Sample Questions (Q256-Q261):

NEW QUESTION # 256
An Organization has previously provisioned its own AWS VPC hosting various servers. The organization now needs to use Cloudhub to host a Mule application that will implement a REST API once deployed to Cloudhub, this Mule application must be able to communicate securely with the customer-provisioned AWS VPC resources within the same region, without being interceptable on the public internet.
What Anypoint Platform features should be used to meet these network communication requirements between Cloudhub and the existing customer-provisioned AWS VPC?

  • A. Configure an external identity provider (IDP) in Anypoint Platform with certificates from the customer provisioned AWS VPC
  • B. Add a default API Whitelisting policy to API Manager to automatically whitelist the customer provisioned AWS VPC IP ranges needed by the Mule applicaton
  • C. Add a Mulesoft hosted Anypoint VPC configured and with VPC Peering to the AWS VPC
  • D. Use VM queues in the Mule application to allow any non-mule assets within the customer provisioned AWS VPC to subscribed to and receive messages

Answer: C


NEW QUESTION # 257
An API implementation is being designed that must invoke an Order API which is known to repeatedly experience downtime. For this reason a fallback API is to be called when the Order API is unavailable. What approach to designing invocation of the fallback API provides the best resilience?

  • A. Set an option in the HTTP Requester component that invokes the order API to instead invoke a fallback API whenever an HTTP 4XX or 5XX response status code is received from Order API
  • B. Redirect client requests through an HTTP 303 temporary redirect status code to the fallback API whenever the Order API is unavailable
  • C. Create a separate entry for the order API in API manager and then invoke this API as a fallback API if the primary Order API is unavailable
  • D. Search Anypoint Exchange for a suitable existing fallback API and them implement invocations to their fallback API in addition to the Order API

Answer: B

Explanation:
* Resilience testing is a type of software testing that observes how applications act under stress. It's meant to ensure the product's ability to perform in chaotic conditions without a loss of core functions or data; it ensures a quick recovery after unforeseen, uncontrollable events.
* In case an API invocation fails - even after a certain number of retries - it might be adequate to invoke a different API as a fallback. A fallback API, by definition, will never be ideal for the purpose of the API client, otherwise it would be the primary API.
* Here are some examples for fallback APIs:
- An old, deprecated version of the same API.
- An alternative endpoint of the same API and version (e.g. API in another CloudHub region).
- An API doing more than required, and therefore not as performant as the primary API.
- An API doing less than required and therefore forcing the API Client to offer a degraded service, which is still better than no service at all.
* API clients implemented as Mule applications offer the 'Until Successful Scope and Exception' strategies at their disposal, which together allow configuring fallback actions such as a fallback API invocation.
* All HTTP response status codes within the 3xx category are considered redirection messages. These codes indicate to the user agent (i.e. your web browser) that an additional action is required in order to complete the request and access the desired resource Diagram Description automatically generated

Hence correct answer is Redirect client requests through an HTTP 303 temporary redirect status code to the fallback API whenever the Order API is unavailable


NEW QUESTION # 258
Refer to the exhibit.

An organization uses a 2-node Mute runtime cluster to host one stateless API implementation. The API is accessed over HTTPS through a load balancer that uses round-robin for load distribution.
Two additional nodes have been added to the cluster and the load balancer has been configured to recognize the new nodes with no other change to the load balancer.
What average performance change is guaranteed to happen, assuming all cluster nodes are fully operational?

  • A. 50% reduction In the JVM heap memory consumed by each node
  • B. 100% increase in the throughput of the API
  • C. 50% reduction In the number of requests being received by each node
  • D. 50% reduction in the response time of the API

Answer: C


NEW QUESTION # 259
An integration team follows MuleSoft's recommended approach to full lifecycle API development.
Which activity should this team perform during the API implementation phase?

  • A. Design the API specification
  • B. Use the API specification to build the MuleSoft application
  • C. Validate the API specification
  • D. Use the API specification to monitor the MuleSoft application

Answer: B


NEW QUESTION # 260
One of the backend systems involved by the API implementation enforces rate limits on the number of request a particle client can make.
Both the back-end system and API implementation are deployed to several non-production environments including the staging environment and to a particular production environment. Rate limiting of the back-end system applies to all non-production environments.
The production environment however does not have any rate limiting.
What is the cost-effective approach to conduct performance test of the API implementation in the non-production staging environment?

  • A. Create a Mocking service that replicates the back-end system's
    production performance characteristics
    Then configure the API implementation to use the mocking
    service and conduct the performance test
  • B. Including logic within the API implementation that bypasses in locations of the back-end system in the staging environment and invoke a Mocking service that replicates typical back-end system responses Then conduct performance test using this API implementation
  • C. Use MUnit to simulate standard responses from the back-end system.
    Then conduct performance test to identify other bottlenecks in the system
  • D. Conduct scaled-down performance tests in the staging environment against rate-limiting back-end system. Then upscale performance results to full production scale

Answer: A


NEW QUESTION # 261
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