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Salesforce MuleSoft-Integration-Architect-I復習対策書 & MuleSoft-Integration-Architect-I無料問題

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Salesforce MuleSoft-Integration-Architect-I 認定試験の出題範囲：

トピック
出題範囲

トピック 1

Designing Architecture Using Integration Paradigms: This topic focuses on creating high-level integration architectures using various paradigms. It includes API-led connectivity, web APIs and HTTP, event-driven APIs, and message brokers, and designing Mule application using messaging patterns and technologies.

トピック 2

Designing Automated Tests for Mule Applications: This topic covers unit test suites, and scenarios for integration and performance testing.

トピック 3

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.

トピック 4

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.

トピック 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.

トピック 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.

トピック 7

Designing Integration Solutions to Meet Performance Requirements: This topic covers meeting performance and capacity goals, using streaming features, and processing large message sequences.

トピック 8

Designing Integration Solutions to Meet Reliability Requirements: It includes selecting alternatives to traditional transactions, recognizing the purpose of various scopes and strategies, differentiating disaster recovery and high availability, and using local and XA transactions.

トピック 9

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.

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Salesforce Certified MuleSoft Integration Architect I 認定 MuleSoft-Integration-Architect-I 試験問題 (Q70-Q75):

質問 # 70
An auto mobile company want to share inventory updates with dealers Dl and D2 asynchronously and concurrently via queues Q1 and Q2. Dealer Dl must consume the message from the queue Q1 and dealer D2 to must consume a message from the queue Q2.
Dealer D1 has implemented a retry mechanism to reprocess the transaction in case of any errors while processing the inventers updates. Dealer D2 has not implemented any retry mechanism.
How should the dealers acknowledge the message to avoid message loss and minimize impact on the current implementation?

A. Dealer D1 must use auto acknowledgement and dealer D2 can use manual acknowledgement and acknowledge the message after successful processing
B. Dealer D1 and dealer D2 must use AUTO acknowledgement and acknowledge the message after successful processing
C. Dealer D1 can use auto acknowledgement and dealer D2 can use IMMEDIATE acknowledgement and acknowledge the message of successful processing
D. Dealer D1 can use AUTO acknowledgement and dealer D2 must use manual acknowledgement and acknowledge the message after successful processing

正解：D

解説：
* Dealer D1 - AUTO Acknowledgment:
* Dealer D1, which has a retry mechanism, can use AUTO acknowledgment. This means that the message is acknowledged automatically once received. The retry mechanism will handle any processing errors and reprocess the message if needed.
* Dealer D2 - Manual Acknowledgment:
* Dealer D2, which does not have a retry mechanism, must use manual acknowledgment. This approach allows D2 to acknowledge the message only after it has been successfully processed, ensuring no message is lost due to processing errors.
* Ensuring Message Delivery:
* Using manual acknowledgment for Dealer D2 ensures that the message is not lost and can be reprocessed if an error occurs during processing, which is crucial since it lacks a retry mechanism.
References:
* MuleSoft Documentation on JMS Acknowledgment
* Best practices for Reliable Messaging

質問 # 71
As a part of design , Mule application is required call the Google Maps API to perform a distance computation. The application is deployed to cloudhub.
At the minimum what should be configured in the TLS context of the HTTP request configuration to meet these requirements?

A. The configuration is built-in and nothing extra is required for the TLS context
B. Download the Google public certificate from a browser, generate a JKS file from it and add it in Truststore as part of the TLS context
C. Download the Google public certificate from a browser, generate JKS file from it and add it in key store as a part of TLS context
D. Request a private key from Google and create a PKCS12 file with it and add it in keyStore as a part of TLS context

正解：B

解説：
When configuring the TLS context for an HTTP request to the Google Maps API, the primary goal is to ensure that the Mule application can establish a secure connection. Here's a detailed explanation of the necessary steps:
* Download Google Public Certificate:
* Open a browser and navigate to the Google Maps API URL (e.g., https://maps.googleapis.com).
* Click on the lock icon in the address bar and view the certificate details.
* Export the certificate, usually in a .cer or .crt format.
* Generate JKS File from Certificate:
* Use a tool like keytool (which comes with the Java Development Kit) to import the downloaded certificate into a Java KeyStore (JKS) file.
keytool -importcert -file google.cer -keystore truststore.jks -alias google
* Add JKS File to Truststore:
* In your Mule application, configure the HTTP Request Connector with the generated JKS file as the Truststore in the TLS context.
<tls:trust-store path="path/to/truststore.jks" password="password"/>
* Configure HTTP Request Connector:
* Ensure the HTTP Request Connector references this Truststore configuration.
<http:request-config name="HTTP_Request_Configuration" protocol="HTTPS"> <http:tls-context> <tls:trust- store path="path/to/truststore.jks" password="password"/> </http:tls-context> </http:request-config> By completing these steps, your Mule application will trust the Google Maps API server's certificate, allowing for secure communication.
References
* MuleSoft Documentation: Configuring TLS
* Google Maps API Documentation

質問 # 72
An insurance company is implementing a MuleSoft API to get inventory details from the two vendors. Due to network issues, the invocations to vendor applications are getting timed-out intermittently. But the transactions are successful upon reprocessing What is the most performant way of implementing this requirement?

A. Implement a Choice scope to invoke the two vendor applications on two different route Use the try-catch scope to implement the retry mechanism for timeout errors on each route
B. Implement Round-Robin scope to invoke the two vendor applications on two different routes Use the Try-Catch scope to implement retry mechanism for timeout errors on each route
C. Implement a For-Each scope to invoke the two vendor applications
Use until successful scope to implement the retry mechanism for the timeout errors
D. Implement a scatter-gather scope to invoke the two vendor
applications on two different route
Use the Until-Successful scope to implement the retry mechanism
for timeout errors on each route

正解：D

解説：
The most performant way to handle intermittent network issues with vendor applications and ensure successful transaction reprocessing is to use a combination of the Scatter-Gather scope and the Until- Successful scope. Here's how it works:
* Scatter-Gather Scope: This scope allows you to send requests to multiple endpoints (in this case, the two vendor applications) simultaneously. This ensures that both vendors are queried at the same time, reducing overall processing time.
* Until-Successful Scope: This scope is used to implement a retry mechanism. By wrapping each route to the vendor applications with an Until-Successful scope, the flow can automatically retry the request if a timeout error occurs. This scope retries the request until it succeeds or until a specified number of retries is reached.
Implementation Steps:
* Configure a Scatter-Gather scope in your Mule application.
* Inside each route of the Scatter-Gather scope, place an Until-Successful scope.
* Configure the Until-Successful scope with appropriate retry policies, such as retry count and delay between retries.
* Inside the Until-Successful scope, configure the HTTP request to the vendor application.
This approach ensures that:
* Both vendor applications are queried in parallel.
* Each request is retried upon timeout errors, ensuring eventual success without manual intervention.
References:
* MuleSoft Documentation: Scatter-Gather
* MuleSoft Documentation: Until-Successful Scope

質問 # 73
A banking company is developing a new set of APIs for its online business. One of the critical API's is a master lookup API which is a system API. This master lookup API uses persistent object store. This API will be used by all other APIs to provide master lookup data.

Master lookup API is deployed on two cloudhub workers of 0.1 vCore each because there is a lot of master data to be cached. Master lookup data is stored as a key value pair. The cache gets refreshed if they key is not found in the cache.
Doing performance testing it was observed that the Master lookup API has a higher response time due to database queries execution to fetch the master lookup data.
Due to this performance issue, go-live of the online business is on hold which could cause potential financial loss to Bank.
As an integration architect, which of the below option you would suggest to resolve performance issue?

A. Implement HTTP caching policy for all GET endpoints for the master lookup API and implement locking to synchronize access to object store
B. Add an additional Cloudhub worker to provide additional capacity
C. Implement HTTP caching policy for all GET endpoints for master lookup API
D. Upgrade vCore size from 0.1 vCore to 0,2 vCore

正解：A

質問 # 74
What aspects of a CI/CD pipeline for Mule applications can be automated using MuleSoft-provided Maven plugins?

A. Compile, package, unit test, validate unit test coverage, deploy
B. Import from API designer, compile, package, unit test, deploy, publish to Anypoint Exchange
C. Compile, package, unit test, deploy, integration test (Incorrect)
D. Compile, package, unit test, deploy, create associated API instances in API Manager

正解：A

解説：
Correct answer is "Compile, package, unit test, validate unit test coverage, deploy" : Anypoint Platform supports continuous integration and continuous delivery using industry standard tools Mule Maven Plugin The Mule Maven plugin can automate building, packaging and deployment of Mule applications from source projects Using the Mule Maven plugin, you can automate your Mule application deployment to CloudHub, to Anypoint Runtime Fabric, or on-premises, using any of the following deployment strategies * CloudHub deployment * Runtime Fabric deployment * Runtime Manager REST API deployment * Runtime Manager agent deployment MUnit Maven Plugin The MUnit Maven plugin can automate test execution, and ties in with the Mule Maven plugin. It provides a full suite of integration and unit test capabilities, and is fully integrated with Maven and Surefire for integration with your continuous deployment environment. Since MUnit 2.x, the coverage report goal is integrated with the maven reporting section. Coverage Reports are generated during Maven's site lifecycle, during the coverage-report goal. One of the features of MUnit Coverage is to fail the build if a certain coverage level is not reached. MUnit is not used for integration testing Also publishing to Anypoint Exchange or to create associated API instances in API Manager is not a part of CICD pipeline which can ne achieved using mulesoft provided maven plugin Architecture mentioned in the question can be diagrammatically put as below. Persistent Object Store is the correct answer .
* Mule Object Stores: An object store is a facility for storing objects in or across Mule applications. Mule uses object stores to persist data for eventual retrieval.
Mule provides two types of object stores:
1) In-memory store - stores objects in local Mule runtime memory. Objects are lost on shutdown of the Mule runtime. So we cant use in memory store in our scenario as we want to share watermark within all cloudhub workers
2) Persistent store - Mule persists data when an object store is explicitly configured to be persistent. Hence this watermark will be available even any of the worker goes down

質問 # 75
......

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Glen Ward Glen Ward

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