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우리는 고객이 첫 번째 시도에서Salesforce MuleSoft-Integration-Architect-I 자격증시험을 합격할수있다는 것을 약속드립니다. Salesforce MuleSoft-Integration-Architect-I 시험을 합격하여 자격증을 손에 넣는다면 취직 혹은 연봉인상 혹은 승진이나 이직에 확실한 가산점이 될것입니다. Salesforce MuleSoft-Integration-Architect-I시험 어려운 시험이지만 저희Salesforce MuleSoft-Integration-Architect-I덤프로 조금이나마 쉽게 따봅시다.

Salesforce MuleSoft-Integration-Architect-I 시험요강:

주제	소개
주제 1	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.
주제 2	Designing Automated Tests for Mule Applications: This topic covers unit test suites, and scenarios for integration and performance testing.
주제 3	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.
주제 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.
주제 5	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.
주제 6	Applying DevOps Practices and Operating Integration Solutions: Its sub-topics are related to designing CI CD pipelines with MuleSoft plugins, automating interactions with Anypoint Platform, designing logging configurations, and identifying Anypoint Monitoring features.
주제 7	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.

최신 Salesforce MuleSoft MuleSoft-Integration-Architect-I 무료샘플문제 (Q173-Q178):

질문 # 173
To implement predictive maintenance on its machinery equipment, ACME Tractors has installed thousands of IoT sensors that will send data for each machinery asset as sequences of JMS messages, in near real-time, to a JMS queue named SENSOR_DATA on a JMS server. The Mule application contains a JMS Listener operation configured to receive incoming messages from the JMS servers SENSOR_DATA JMS queue. The Mule application persists each received JMS message, then sends a transformed version of the corresponding Mule event to the machinery equipment back-end systems.
The Mule application will be deployed to a multi-node, customer-hosted Mule runtime cluster. Under normal conditions, each JMS message should be processed exactly once.
How should the JMS Listener be configured to maximize performance and concurrent message processing of the JMS queue?

A. Set numberOfConsumers = 1
Set primaryNodeOnly = true
B. Set numberOfConsumers to a value greater than one
Set primaryNodeOnly = false
C. Set numberOfConsumers to a value greater than one
Set primaryNodeOnly = true
D. Set numberOfConsumers = 1
Set primaryNodeOnly = false

정답：B

질문 # 174
What comparison is true about a CloudHub Dedicated Load Balancer (DLB) vs. the CloudHub Shared Load Balancer (SLB)?

A. Both a DLB and the SLB allow the configuration of access control via IP whitelists
B. Only a DLB allows the configuration of a custom TLS server certificate
C. Only the SLB can forward HTTP traffic to the VPC-internal ports of the CloudHub workers
D. Both a DLB and the SLB implement load balancing by sending HTTP requests to workers with the lowest workloads

정답：B

설명：
* Shared load balancers don't allow you to configure custom SSL certificates or proxy rules
* Dedicated Load Balancer are optional but you need to purchase them additionally if needed.
* TLS is a cryptographic protocol that provides communications security for your Mule app. TLS offers many different ways of exchanging keys for authentication, encrypting data, and guaranteeing message integrity.
* The CloudHub Shared Load Balancer terminates TLS connections and uses its own server-side certificate.
* Only a DLB allows the configuration of a custom TLS server certificate
* DLB enables you to define SSL configurations to provide custom certificates and optionally enforce two- way SSL client authentication.
* To use a DLB in your environment, you must first create an Anypoint VPC. Because you can associate multiple environments with the same Anypoint VPC, you can use the same dedicated load balancer for your different environments.
* MuleSoft Reference: https://docs.mulesoft.com/runtime-manager/dedicated-load-balancer-tutorial Additional Info on SLB Vs DLB:
Table Description automatically generated

질문 # 175
A mule application designed to fulfil two requirements
a) Processing files are synchronously from an FTPS server to a back-end database using VM intermediary queues for load balancing VM events b) Processing a medium rate of records from a source to a target system using batch job scope Considering the processing reliability requirements for FTPS files, how should VM queues be configured for processing files as well as for the batch job scope if the application is deployed to Cloudhub workers?

A. Use Cloud hub persistent VM queue for FTPS file processingThere is no need to configure VM queues for the batch jobs scope as it uses by default the worker's JVM memory for VM queueing
B. Use Cloud hub persistent VM queues for FTPS file processingDisable VM queue for the batch job scope
C. Use VM connector persistent queues for FTPS file processing Disable VM queue for the batch job scope
D. Use Cloud hub persistent queues for FTPS files processingThere is no need to configure VM queues for the batch jobs scope as it uses by default the worker's disc for VM queueing

정답：D

설명：
When processing files synchronously from an FTPS server to a back-end database using VM intermediary queues for load balancing VM events on CloudHub, reliability is critical. CloudHub persistent queues should be used for FTPS file processing to ensure that no data is lost in case of worker failure or restarts. These queues provide durability and reliability since they store messages persistently.
For the batch job scope, it is not necessary to configure additional VM queues. By default, batch jobs on CloudHub use the worker's disk for VM queueing, which is reliable for handling medium-rate records processing from a source to a target system. This approach ensures that both FTPS file processing and batch job processing meet reliability requirements without additional configuration for batch job scope.
References
* MuleSoft Documentation on CloudHub and VM Queues
* Anypoint Platform Best Practices

질문 # 176
A company is implementing a new Mule application that supports a set of critical functions driven by a rest API enabled, claims payment rules engine hosted on oracle ERP. As designed the mule application requires many data transformation operations as it performs its batch processing logic.
The company wants to leverage and reuse as many of its existing java-based capabilities (classes, objects, data model etc.) as possible What approach should be considered when implementing required data mappings and transformations between Mule application and Oracle ERP in the new Mule application?

A. Invoke any of the appropriate Java methods directly, create metadata RAML classes and then perform required transformations via Dataweave
B. From the mule application, transform via theXSLT model
C. Transform by calling any suitable Java class from Dataweave
D. Create a new metadata RAML classes in Mule from the appropriate Java objects and then perform transformations via Dataweave

정답：C

질문 # 177
A new upstream API Is being designed to offer an SLA of 500 ms median and 800 ms maximum (99th percentile) response time. The corresponding API implementation needs to sequentially invoke 3 downstream APIs of very similar complexity. The first of these downstream APIs offers the following SLA for its response time: median: 100 ms, 80th percentile: 500 ms, 95th percentile: 1000 ms. If possible, how can a timeout be set in the upstream API for the invocation of the first downstream API to meet the new upstream API's desired SLA?

A. No timeout is possible to meet the upstream API's desired SLA; a different SLA must be negotiated with the first downstream API or invoke an alternative API
B. Do not set a timeout; the Invocation of this API Is mandatory and so we must wait until it responds
C. Set a timeout of 100 ms; that leaves 400 ms for the other two downstream APIs to complete
D. Set a timeout of 50 ms; this times out more invocations of that API but gives additional room for retries

정답：A

설명：
Before we answer this question , we need to understand what median (50th percentile) and 80th percentile means. If the 50th percentile (median) of a response time is 500ms that means that 50% of my transactions are either as fast or faster than 500ms.
If the 90th percentile of the same transaction is at 1000ms it means that 90% are as fast or faster and only 10% are slower. Now as per upstream SLA , 99th percentile is 800 ms which means 99% of the incoming requests should have response time less than or equal to 800 ms. But as per one of the backend API , their 95th percentile is 1000 ms which means that backend API will take 1000 ms or less than that for 95% of. requests. As there are three API invocation from upstream API , we can not conclude a timeout that can be set to meet the desired SLA as backend SLA's do not support it.
Let see why other answers are not correct.
1) Do not set a timeout --> This can potentially violate SLA's of upstream API
2) Set a timeout of 100 ms; ---> This will not work as backend API has 100 ms as median meaning only 50% requests will be answered in this time and we will get timeout for 50% of the requests. Important thing to note here is, All APIs need to be executed sequentially, so if you get timeout in first API, there is no use of going to second and third API. As a service provider you wouldn't want to keep 50% of your consumers dissatisfied. So not the best option to go with.
*To quote an example: Let's assume you have built an API to update customer contact details.
- First API is fetching customer number based on login credentials
- Second API is fetching Info in 1 table and returning unique key
- Third API, using unique key provided in second API as primary key, updating remaining details
* Now consider, if API times out in first API and can't fetch customer number, in this case, it's useless to call API 2 and 3 and that is why question mentions specifically that all APIs need to be executed sequentially.
3) Set a timeout of 50 ms --> Again not possible due to the same reason as above Hence correct answer is No timeout is possible to meet the upstream API's desired SLA; a different SLA must be negotiated with the first downstream API or invoke an alternative API

질문 # 178
......

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