効果的-更新するMule-Arch-201最新日本語版参考書試験-試験の準備方法Mule-Arch-201日本語講座

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Salesforce Certified MuleSoft Platform Architect 認定 Mule-Arch-201 試験問題 (Q100-Q105):

質問 # 100
In an organization, the InfoSec team is investigating Anypoint Platform related data traffic.
From where does most of the data available to Anypoint Platform for monitoring and alerting originate?

正解：C

解説：
Correct Answe r: From the Mule runtime irrespective of the deployment model
*****************************************
>> Monitoring and Alerting metrics are always originated from Mule Runtimes irrespective of the deployment model.
>> It may seems that some metrics (Runtime Manager) are originated from Mule Runtime and some are (API Invocations/ API Analytics) from API Manager. However, this is realistically NOT TRUE. The reason is, API manager is just a management tool for API instances but all policies upon applying on APIs eventually gets executed on Mule Runtimes only (Either Embedded or API Proxy).
>> Similarly all API Implementations also run on Mule Runtimes.
So, most of the day required for monitoring and alerts are originated fron Mule Runtimes only irrespective of whether the deployment model is MuleSoft-hosted or Customer-hosted or Hybrid.


質問 # 101
What API policy would be LEAST LIKELY used when designing an Experience API that is intended to work with a consumer mobile phone or tablet application?

正解：D

解説：
Correct Answe r: IP whitelist
*****************************************
>> OAuth 2.0 access token and Client ID enforcement policies are VERY common to apply on Experience APIs as API consumers need to register and access the APIs using one of these mechanisms
>> JSON threat protection is also VERY common policy to apply on Experience APIs to prevent bad or suspicious payloads hitting the API implementations.
>> IP whitelisting policy is usually very common in Process and System APIs to only whitelist the IP range inside the local VPC. But also applied occassionally on some experience APIs where the End User/ API Consumers are FIXED.
>> When we know the API consumers upfront who are going to access certain Experience APIs, then we can request for static IPs from such consumers and whitelist them to prevent anyone else hitting the API.
However, the experience API given in the question/ scenario is intended to work with a consumer mobile phone or tablet application. Which means, there is no way we can know all possible IPs that are to be whitelisted as mobile phones and tablets can so many in number and any device in the city/state/country/globe.
So, It is very LEAST LIKELY to apply IP Whitelisting on such Experience APIs whose consumers are typically Mobile Phones or Tablets.


質問 # 102
A customer wants to host their MuleSoft applications in CloudHub 1.0, and these applications should be available at the domain https://api.acmecorp.com.
After creating a dedicated load balancer (DLB) called acme-dib-prod, which further action must the customer take to complete the configuration?

正解：B

解説：
When setting up a custom domain for MuleSoft applications hosted on CloudHub 1.0 using a Dedicated Load Balancer (DLB), follow these steps:
Set Up the TLS Certificate: Configure the DLB (acme-dib-prod) with a TLS certificate that covers the custom domain api.acmecorp.com. This certificate will allow HTTPS traffic to be securely directed through the DLB to your Mule applications.
DNS Configuration with CNAME:
Create a CNAME record that points api.acmecorp.com to the DLB hostname acme-dib-prod.lb.anypointdns.net.
The CNAME record enables the custom domain to resolve to the DLB provided by MuleSoft's Anypoint Platform. This CNAME mapping directs all traffic to the correct DLB for processing and load distribution.
Why Option B is Correct:
A CNAME record provides the necessary aliasing to acme-dib-prod.lb.anypointdns.net, which is the endpoint managed by Anypoint Platform for your DLB.
Option B also correctly identifies the need to configure the DLB with a TLS certificate specifically for api.acmecorp.com rather than for the DLB's internal hostname.
of Incorrect Options:
Options that suggest configuring the DLB with a TLS certificate for the DLB's internal hostname or using an A record are not suitable in this scenario. MuleSoft CloudHub 1.0 DLBs work with CNAME records to provide flexible and scalable domain management, and a direct IP (A record) is not supported for these load balancers.
Reference
For more information on configuring custom domains and DLBs on CloudHub 1.0, refer to the MuleSoft documentation on DLB setup and DNS configuration.


質問 # 103
When could the API data model of a System API reasonably mimic the data model exposed by the corresponding backend system, with minimal improvements over the backend system's data model?

正解：A

解説：
Correct Answe r: When a pragmatic approach with only limited isolation from the backend system is deemed appropriate.
*****************************************
General guidance w.r.t choosing Data Models:
>> If an Enterprise Data Model is in use then the API data model of System APIs should make use of data types from that Enterprise Data Model and the corresponding API implementation should translate between these data types from the Enterprise Data Model and the native data model of the backend system.
>> If no Enterprise Data Model is in use then each System API should be assigned to a Bounded Context, the API data model of System APIs should make use of data types from the corresponding Bounded Context Data Model and the corresponding API implementation should translate between these data types from the Bounded Context Data Model and the native data model of the backend system. In this scenario, the data types in the Bounded Context Data Model are defined purely in terms of their business characteristics and are typically not related to the native data model of the backend system. In other words, the translation effort may be significant.
>> If no Enterprise Data Model is in use, and the definition of a clean Bounded Context Data Model is considered too much effort, then the API data model of System APIs should make use of data types that approximately mirror those from the backend system, same semantics and naming as backend system, lightly sanitized, expose all fields needed for the given System API's functionality, but not significantly more and making good use of REST conventions.
The latter approach, i.e., exposing in System APIs an API data model that basically mirrors that of the backend system, does not provide satisfactory isolation from backend systems through the System API tier on its own. In particular, it will typically not be possible to "swap out" a backend system without significantly changing all System APIs in front of that backend system and therefore the API implementations of all Process APIs that depend on those System APIs! This is so because it is not desirable to prolong the life of a previous backend system's data model in the form of the API data model of System APIs that now front a new backend system. The API data models of System APIs following this approach must therefore change when the backend system is replaced.
On the other hand:
>> It is a very pragmatic approach that adds comparatively little overhead over accessing the backend system directly
>> Isolates API clients from intricacies of the backend system outside the data model (protocol, authentication, connection pooling, network address, ...)
>> Allows the usual API policies to be applied to System APIs
>> Makes the API data model for interacting with the backend system explicit and visible, by exposing it in the RAML definitions of the System APIs
>> Further isolation from the backend system data model does occur in the API implementations of the Process API tier


質問 # 104
A company deployed an API to a single worker/replica in the shared cloud in the U.S. West Region.
What happens when the Availability Zone experiences an outage?

正解：A

解説：
In a CloudHub deployment with a single worker/replica located in a specific Availability Zone (AZ), if an AZ experiences an outage, here's what happens:
Worker Availability: Since the application is deployed in a single AZ, CloudHub does not automatically redeploy the application in a different zone or region during an outage. Thus, if the current AZ is unavailable, the application will be offline.
Auto-Restart upon AZ Recovery: Once the affected AZ is back online, CloudHub will auto-restart the worker in the same AZ without manual intervention. This ensures that as soon as the AZ is functional, the application resumes automatically.
of Correct Answer (B):
Option B accurately describes the situation, as the API will remain unavailable until the original AZ is restored.
CloudHub does not currently support automatic failover across regions or other availability zones within the same region for single-worker deployments on the shared cloud.
of Incorrect Options:
Option A (auto-redeployment in the U.S. East region) is incorrect, as CloudHub does not migrate across regions automatically.
Option C (redeployment in another AZ within the U.S. West) is not a feature for single-worker deployments.
Option D (manual redeployment triggered by an admin) is unnecessary as CloudHub handles restarts automatically when the AZ is back online.
Reference
Refer to MuleSoft CloudHub's availability and disaster recovery documentation for more information on how CloudHub manages availability in shared environments.


質問 # 105
......

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Mule-Arch-201日本語講座: https://www.jpexam.com/Mule-Arch-201_exam.html

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最高のMule-Arch-201最新日本語版参考書 & 合格スムーズMule-Arch-201日本語講座 | 信頼的なMule-Arch-201模擬対策 Salesforce Certified MuleSoft Platform Architect

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