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[General] MuleSoft-Integration-Architect-I Unterlage & MuleSoft-Integration-Architect-

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【General】 MuleSoft-Integration-Architect-I Unterlage & MuleSoft-Integration-Architect-

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MuleSoft-Integration-Architect-I Salesforce Certified MuleSoft Integration Architect I Pass4sure Zertifizierung & Salesforce Certified MuleSoft Integration Architect I zuverlässige Prüfung ÜbungAlle Anfang ist schwer. Zögern Sie noch, wie mit der Vorbereitung der Salesforce MuleSoft-Integration-Architect-I Prüfung anfangen? Die Prüfungsunterlagen der Salesforce MuleSoft-Integration-Architect-I von uns zu kaufen wird ein notwendiger Schritt Ihrer Vorbereitung. Was wir Ihnen bieten, ist nicht nur was Sie möchten, sondern auch was für Ihre Vorbrereitung der Salesforce MuleSoft-Integration-Architect-I Prüfung unerlässlich ist. Vielleicht haben Sie noch Hemmungen mit diesem Schritt. So können Sie zuerst die Demo der Salesforce MuleSoft-Integration-Architect-I Prüfungsunterlagen herunterladen. Nachdem Sie probiert haben, werden Sie bestimmt diesen Schritt machen.
Salesforce MuleSoft-Integration-Architect-I Prüfungsplan:
ThemaEinzelheiten
Thema 1
  • Designing Integration Solutions to Meet Security Requirements: This topic emphasizes securing access to the Anypoint Platform and APIs, using Anypoint Security, counteracting security vulnerabilities, and understanding audit logging capabilities.
Thema 2
  • Designing Integration Solutions to Meet Performance Requirements: This topic covers meeting performance and capacity goals, using streaming features, and processing large message sequences.
Thema 3
  • Designing Integration Solutions to Meet Persistence Requirements: It addresses the usage of VM queues and connectors, object stores and services, and stateful components configured with object stores.
Thema 4
  • Designing for the Runtime Plane Technology Architecture: It includes analyzing Mule runtime clusters, designing solutions for CloudHub, choosing Mule runtime domains, leveraging Mule 4 class loader isolation, and understanding the reactive event processing model.
Thema 5
  • Initiating Integration Solutions on Anypoint Platform: Summarizing MuleSoft Catalyst and Catalyst Knowledge Hub, differentiating between functional and non-functional requirements, selecting features for designing and managing APIs, and choosing deployment options are its sub-topics.
Thema 6
  • Designing and Developing Mule Applications: It includes selecting application properties, using fundamental features, designing with core routers, understanding the Salesforce Connector, and leveraging core connectors.

Salesforce Certified MuleSoft Integration Architect I MuleSoft-Integration-Architect-I Prüfungsfragen mit Lösungen (Q77-Q82):77. Frage
What is the MuleSoft-recommended best practice to share the connector and configuration information among the APIs?
  • A. Build a separate Mule domain project for each API, and configure each of them to use a file on a shared file store to load the configuration information dynamically
  • B. Build another System API that connects to the database, and refactor all the other APIs to make requests through the new System API to access the database
  • C. Create an API proxy for each System API and share the Database connector configuration with all the API proxies via an automated policy
  • D. Build a Mule domain project, add the Database connector and configuration to it, and reference this one domain project from each System API
Antwort: D

78. Frage
An organization plans to extend its Mule APIs to the EU (Frankfurt) region.
Currently, all Mule applications are deployed to CloudHub 1.0 in the default North American region, from the North America control plane, following this naming convention: {API-name}-{environment} (for example, Orderssapi-dev, Orders-sapi--qa, Orders-sapi--prod, etc.).
There is no network restriction to block communications between APIs.
What strategy should be implemented in order to deploy the same Mule APIs to the CloudHub 1.0 EU region from the North America control plane, as well as to minimize latency between APIs and target users and systems in Europe?
  • A. In API Manager, leave the Region property blank (default) to deploy an API proxy named {API-name}
    ~proxy~- (environment}.de-cl for each Mule application.Communicate the new url {API-name}- proxy-{environment}.de-cl.cloudhub.io to the consuming API clients in Europe.
  • B. In Runtime Manager, for each Mule application deployment, leave the Region propertyblank (default) and change the Mule application name to {API-name}-{environment).de-cl.Communicate the new urls {API-name}-{environment}.de-ci1.cloudhub.io to theconsuming API clients in Europe.
  • C. In API Manager, set the Region property to EU (Frankfurt) to create an API proxy named {API-name}
    -proxy-{environment} for each Mule application.Communicate the new url {API-name}-proxy-
    {environment}.de-c1.cloudhub.io to the consuming API clients In Europe.
  • D. In Runtime Manager, for each Mule application deployment, set the Region property to EU (Frankfurt) and reuse the same Mule application mame as in the North Americanregion.Communicate the new urls
    {API-name}-{environment}.de-ci.cloudhub.io to the consuming API clients In Europe.
Antwort: D
Begründung:
To extend Mule APIs to the EU (Frankfurt) region and minimize latency for European users, follow these steps:
* Set Region Property: In Runtime Manager, for each Mule application deployment, set the Region property to EU (Frankfurt). This deploys the application to the desired region, optimizing performance for European users.
* Reuse Application Names: Keep the same Mule application names as used in the North American region. This approach maintains consistency and simplifies management.
* Communicate New URLs: Inform the consuming API clients in Europe of the new URLs in the format
{API-name}-{environment}.de-ci.cloudhub.io. These URLs will direct the clients to the applications deployed in the EU region, ensuring reduced latency and improved performance.
This strategy effectively deploys the same Mule APIs to the CloudHub EU region, leveraging the existing control plane in North America.

79. Frage
Refer to the exhibit.

One of the backend systems invoked by an API implementation enforces rate limits on the number of requests a particular client can make. Both the backend system and the API implementation are deployed to several non-production environments in addition to production.
Rate limiting of the backend system applies to all non-production environments. The production environment, however, does NOT have any rate limiting.
What is the most effective approach to conduct performance tests of the API implementation in a staging (non- production) environment?
  • A. Conduct scaled-down performance tests in the staging environment against the rate limited backend system then upscale performance results to full production scale
  • B. Use MUnit to simulate standard responses from the backend system then conduct performance tests to identify other bottlenecks in the system
  • C. Create a mocking service that replicates the backend system's production performance characteristics.
    Then configure the API implementation to use the mocking service and conduct the performance tests
  • D. Include logic within the API implementation that bypasses invocations of the backend system in a performance test situation. Instead invoking local stubs that replicate typical backend system responses then conduct performance tests using this API Implementation
Antwort: C
Begründung:
Correct answer is Create a mocking service that replicates the backend system's production performance characteristics. Then configure the API implementation to use the mocking service and conduct the performance tests
* MUnit is for only Unit and integration testing for APIs and Mule apps. Not for performance Testing, even if it has the ability to Mock the backend.
* Bypassing the backend invocation defeats the whole purpose of performance testing. Hence it is not a valid answer.
* Scaled down performance tests cant be relied upon as performance of API's is not linear against load.

80. Frage
Refer to the exhibit.

A Mule application has an HTTP Listener that accepts HTTP DELETE requests. This Mule application Is deployed to three CloudHub workers under the control of the CloudHub Shared Load Balancer.
A web client makes a sequence of requests to the Mule application's public URL.
How is this sequence of web client requests distributed among the HTTP Listeners running in the three CloudHub workers?
  • A. Each request is routed (scattered) to ALL three CloudHub workers at the same time
  • B. Each request is routed to ONE ARBiTRARY CloudHub worker in the PRIMARY Availability Zone (AZ)
  • C. Each request Is routed to ONE ARBiTRARY CloudHub worker out of ALL three CloudHub workers
  • D. Each request is routed to the PRIMARY CloudHub worker in the PRIMARY Availability Zone (AZ)
Antwort: C
Begründung:
Correct behavior is Each request is routed to ONE ARBITRARY CloudHub worker out of ALL three CloudHub workers

81. Frage
An organization uses a four(4) node customer hosted Mule runtime cluster to host one(1) stateless api implementation. The API is accessed over HTTPS through a load balancer that uses round-robin for load distribution. Each node in the cluster has been sized to be able to accept four(4) times the current number of requests.
Two(2) nodes in the cluster experience a power outage and are no longer available. The load balancer directs the outage and blocks the two unavailable the nodes from receiving further HTTP requests.
What performance-related consequence is guaranteed to happen to average, assuming the remaining cluster nodes are fully operational?
  • A. 50% reduction in the throughput of the API
  • B. 100% increase in the number of requests received by each remaining node
  • C. 100% increase in the average response time of the API
  • D. 50% increase in the JVM heap memory consumed by each remaining node
Antwort: C
Begründung:
* "100% increase in the throughput of the API" might look correct, as the number of requests processed per second might increase, but is it guaranteed to increase by 100%? Using 4 nodes will definitely increase throughput of system. But it is cant be precisely said if there would be 100% increase in throughput as it depends on many other factors. Also it is nowhere mentioned in the description that all nodes have same CPU/memory assigned. The question is about the guaranteed behavior * Increasing number of nodes will have no impact on response time as we are scaling application horizontally and not vertically. Similarly there is no change in JVM heap memory usage. * So Correct answer is 50% reduction in the number of requests being received by each node This is because of the two reasons. 1) API is mentioned as stateless 2) Load Balancer is used

82. Frage
......
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