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MuleSoft-Platform-Architect-I日本語認定対策、MuleSoft-Platform-Architect-I受験料
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実際的なMuleSoft-Platform-Architect-I日本語認定対策一回合格-ハイパスレートのMuleSoft-Platform-Architect-I受験料
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Salesforce Certified MuleSoft Platform Architect I 認定 MuleSoft-Platform-Architect-I 試験問題 (Q13-Q18):
質問 # 13
An API implementation is deployed to CloudHub.
What conditions can be alerted on using the default Anypoint Platform functionality, where the alert conditions depend on the end-to-end request processing of the API implementation?
- A. When the API is invoked by an unrecognized API client
- B. When the API receives a very high number of API invocations
- C. When the response time of API invocations exceeds a threshold
- D. When a particular API client invokes the API too often within a given time period
正解:C
解説:
Correct Answer : When the response time of API invocations exceeds a threshold
*****************************************
>> Alerts can be setup for all the given options using the default Anypoint Platform functionality
>> However, the question insists on an alert whose conditions depend on the end-to-end request processing of the API implementation.
>> Alert w.r.t "Response Times" is the only one which requires end-to-end request processing of API implementation in order to determine if the threshold is exceeded or not.
質問 # 14
What is true about the technology architecture of Anypoint VPCs?
- A. Each CloudHub environment requires a separate Anypoint VPC
- B. VPC peering can be used to link the underlying AWS VPC to an on-premises (non AWS) private network
- C. Traffic between Mule applications deployed to an Anypoint VPC and on-premises systems can stay within a private network
- D. The private IP address range of an Anypoint VPC is automatically chosen by CloudHub
正解:C
解説:
Correct Answer : Traffic between Mule applications deployed to an Anypoint VPC and on-premises systems can stay within a private network
*****************************************
>> The private IP address range of an Anypoint VPC is NOT automatically chosen by CloudHub. It is chosen by us at the time of creating VPC using thr CIDR blocks.
CIDR Block: The size of the Anypoint VPC in Classless Inter-Domain Routing (CIDR) notation.
For example, if you set it to 10.111.0.0/24, the Anypoint VPC is granted 256 IP addresses from 10.111.0.0 to 10.111.0.255.
Ideally, the CIDR Blocks you choose for the Anypoint VPC come from a private IP space, and should not overlap with any other Anypoint VPC's CIDR Blocks, or any CIDR Blocks in use in your corporate network.
that each CloudHub environment requires a separate Anypoint VPC. Once an Anypoint VPC is created, we can choose a same VPC by multiple environments. However, it is generally a best and recommended practice to always have seperate Anypoint VPCs for Non-Prod and Prod environments.
>> We use Anypoint VPN to link the underlying AWS VPC to an on-premises (non AWS) private network. NOT VPC Peering.
Reference:
Only true statement in the given choices is that the traffic between Mule applications deployed to an Anypoint VPC and on-premises systems can stay within a private network.
https://docs.mulesoft.com/runtime-manager/vpc-connectivity-methods-concept
質問 # 15
A retail company is using an Order API to accept new orders. The Order API uses a JMS queue to submit orders to a backend order management service. The normal load for orders is being handled using two (2) CloudHub workers, each configured with 0.2 vCore. The CPU load of each CloudHub worker normally runs well below 70%. However, several times during the year the Order API gets four times (4x) the average number of orders. This causes the CloudHub worker CPU load to exceed 90% and the order submission time to exceed 30 seconds. The cause, however, is NOT the backend order management service, which still responds fast enough to meet the response SLA for the Order API. What is the MOST resource-efficient way to configure the Mule application's CloudHub deployment to help the company cope with this performance challenge?
- A. Use a horizontal CloudHub autoscaling policy that triggers on CPU utilization greater than 70%
- B. Permanently increase the size of each of the two (2) CloudHub workers by at least four times (4x) to one (1) vCore
- C. Permanently increase the number of CloudHub workers by four times (4x) to eight (8) CloudHub workers
- D. Use a vertical CloudHub autoscaling policy that triggers on CPU utilization greater than 70%
正解:A
解説:
Correct Answer : Use a horizontal CloudHub autoscaling policy that triggers on CPU utilization greater than 70%
*****************************************
The scenario in the question is very clearly stating that the usual traffic in the year is pretty well handled by the existing worker configuration with CPU running well below 70%. The problem occurs only "sometimes" occasionally when there is spike in the number of orders coming in.
So, based on above, We neither need to permanently increase the size of each worker nor need to permanently increase the number of workers. This is unnecessary as other than those "occasional" times the resources are idle and wasted.
We have two options left now. Either to use horizontal Cloudhub autoscaling policy to automatically increase the number of workers or to use vertical Cloudhub autoscaling policy to automatically increase the vCore size of each worker.
Here, we need to take two things into consideration:
1. CPU
2. Order Submission Rate to JMS Queue
>> From CPU perspective, both the options (horizontal and vertical scaling) solves the issue. Both helps to bring down the usage below 90%.
>> However, If we go with Vertical Scaling, then from Order Submission Rate perspective, as the application is still being load balanced with two workers only, there may not be much improvement in the incoming request processing rate and order submission rate to JMS queue. The throughput would be same as before. Only CPU utilization comes down.
>> But, if we go with Horizontal Scaling, it will spawn new workers and adds extra hand to increase the throughput as more workers are being load balanced now. This way we can address both CPU and Order Submission rate.
Hence, Horizontal CloudHub Autoscaling policy is the right and best answer.
質問 # 16
What is true about where an API policy is defined in Anypoint Platform and how it is then applied to API instances?
- A. The API policy Is defined In API Manager for a specific API Instance, and then ONLY applied to the specific API instance
- B. The API policy is defined in API Manager, and then applied to ALL API instances in the specified environment
- C. The API policy Is defined in API Manager and then automatically applied to ALL API instances
- D. The API policy Is defined In Runtime Manager as part of the API deployment to a Mule runtime, and then ONLY applied to the specific API Instance
正解:A
解説:
Correct Answer : The API policy is defined in API Manager for a specific API instance, and then ONLY applied to the specific API instance.
*****************************************
>> Once our API specifications are ready and published to Exchange, we need to visit API Manager and register an API instance for each API.
>> API Manager is the place where management of API aspects takes place like addressing NFRs by enforcing policies on them.
>> We can create multiple instances for a same API and manage them differently for different purposes.
>> One instance can have a set of API policies applied and another instance of same API can have different set of policies applied for some other purpose.
>> These APIs and their instances are defined PER environment basis. So, one need to manage them seperately in each environment.
>> We can ensure that same configuration of API instances (SLAs, Policies etc..) gets promoted when promoting to higher environments using platform feature. But this is optional only. Still one can change them per environment basis if they have to.
>> Runtime Manager is the place to manage API Implementations and their Mule Runtimes but NOT APIs itself. Though API policies gets executed in Mule Runtimes, We CANNOT enforce API policies in Runtime Manager. We would need to do that via API Manager only for a cherry picked instance in an environment.
So, based on these facts, right statement in the given choices is - "The API policy is defined in API Manager for a specific API instance, and then ONLY applied to the specific API instance".
質問 # 17
What CANNOT be effectively enforced using an API policy in Anypoint Platform?
- A. Logging HTTP requests and responses
- B. Guarding against Denial of Service attacks
- C. Maintaining tamper-proof credentials between APIs
- D. Backend system overloading
正解:B
解説:
Correct Answer : Guarding against Denial of Service attacks
*****************************************
>> Backend system overloading can be handled by enforcing "Spike Control Policy"
>> Logging HTTP requests and responses can be done by enforcing "Message Logging Policy"
>> Credentials can be tamper-proofed using "Security" and "Compliance" Policies However, unfortunately, there is no proper way currently on Anypoint Platform to guard against DOS attacks.
質問 # 18
......
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