Salesforce MuleSoft-Integration-Architect-I過去問題:気楽に試験に合格するSalesforce Certified MuleSoft Integration Architect I

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素敵なMuleSoft-Integration-Architect-I過去問題試験-試験の準備方法-便利なMuleSoft-Integration-Architect-Iシュミレーション問題集

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Salesforce Certified MuleSoft Integration Architect I 認定 MuleSoft-Integration-Architect-I 試験問題 (Q255-Q260):

質問 # 255
An organization is sizing an Anypoint VPC to extend their internal network to Cloudhub.
For this sizing calculation, the organization assumes 150 Mule applications will be deployed among three(3) production environments and will use Cloudhub's default zero-downtime feature. Each Mule application is expected to be configured with two(2) Cloudhub workers.This is expected to result in several Mule application deployments per hour.

A. 10.0.0.0/23(512 IPs)
B. 10.0.0.0/22(1024IPs)
C. 10.0.0.0/24(256 IPs)
D. 10.0.0.0/21(2048 IPs)

正解：D

解説：
* When you create an Anypoint VPC, the range of IP addresses for the network must be specified in the form of a Classless Inter-Domain Routing (CIDR) block, using CIDR notation.
* This address space is reserved for Mule workers, so it cannot overlap with any address space used in your data center if you want to peer it with your VPC.
* To calculate the proper sizing for your Anypoint VPC, you first need to understand that the number of dedicated IP addresses is not the same as the number of workers you have deployed.
* For each worker deployed to CloudHub, the following IP assignation takes place: For better fault tolerance, the VPC subnet may be divided into up to four Availability Zones.
* A few IP addresses are reserved for infrastructure. At least two IP addresses per worker to perform at zero-downtime.
* Hence in this scenario 2048 IP's are required to support the requirement.

質問 # 256
A Mule application contains a Batch Job scope with several Batch Step scopes. The Batch Job scope is configured with a batch block size of 25.
A payload with 4,000 records is received by the Batch Job scope.
When there are no errors, how does the Batch Job scope process records within and between the Batch Step scopes?

A. The Batch Job scope processes each record block sequentially, one at a timeEach Batch Step scope is invoked with one record in the payload of the received Mule eventFor each Batch Step scope, all 25 records within a block are processed sequentially, one at a timeAll 4000 records must be completed before the blocks of records are available to the next Batch Step scope
B. The Batch Job scope processes multiple record blocks in parallelEach Batch Step scope is invoked with a batch of 25 records in the payload of the received Mule eventFor each Batch Step scope, all 4000 records are processed in parallelIndividual records can jump ahead to the next Batch Step scope before the rest of the records finish processing in the current Batch Step scope
C. The Batch Job scope processes multiple record blocks in parallel, and a block of 25 records can jump ahead to the next Batch Step scope over an earlier block of recordsEach Batch Step scope is invoked with one record in the payload of the received Mule eventFor each Batch Step scope, all 25 records within a block are processed sequentially, one record at a timeAll the records in a block must be completed before the block of 25 records is available to the next Batch Step scope
D. The Batch Job scope processes multiple record blocks in parallel, and a block of 25 records can jump ahead to the next Batch Step scope over an earlier block of recordsEach Batch Step scope is invoked with one record in the payload of the received Mule eventFor each Batch Step scope, all 25 records within a block are processed in parallelAll the records in a block must be completed before the block of
25 records is available to the next Batch Step scope

正解：D

解説：
Reference: https://docs.mulesoft.com/mule-runtime/4.4/batch-processing-concept

質問 # 257
What is a key difference between synchronous and asynchronous logging from Mule applications?

A. Synchronous logging writes log messages in a single logging thread but does not block the Mule event being processed by the next event processor
B. Asynchronous logging can improve Mule event processing throughput while also reducing the processing time for each Mule event
C. Asynchronous logging produces more reliable audit trails with more accurate timestamps
D. Synchronous logging within an ongoing transaction writes log messages in the same thread that processes the current Mule event

正解：B

解説：
Types of logging:
A) Synchronous: The execution of thread that is processing messages is interrupted to wait for the log message to be fully handled before it can continue.
# The execution of the thread that is processing your message is interrupted to wait for the log message to be fully output before it can continue
# Performance degrades because of synchronous logging
# Used when the log is used as an audit trail or when logging ERROR/CRITICAL messages
# If the logger fails to write to disk, the exception would raise on the same thread that's currently processing the Mule event. If logging is critical for you, then you can rollback the transaction.
Chart, diagram Description automatically generated

Chart, diagram, box and whisker chart Description automatically generated

B) Asynchronous:
# The logging operation occurs in a separate thread, so the actual processing of your message won't be delayed to wait for the logging to complete
# Substantial improvement in throughput and latency of message processing
# Mule runtime engine (Mule) 4 uses Log4j 2 asynchronous logging by default
# The disadvantage of asynchronous logging is error handling.
# If the logger fails to write to disk, the thread doing the processing won't be aware of any issues writing to the disk, so you won't be able to rollback anything. Because the actual writing of the log gets differed, there's a chance that log messages might never make it to disk and get lost, if Mule were to crash before the buffers are flushed.
------------------------------------------------------------------------------------------------------------------ So Correct answer is: Asynchronous logging can improve Mule event processing throughput while also reducing the processing time for each Mule event

質問 # 258
An API has been unit tested and is ready for integration testing. The API is governed by a Client ID Enforcement policy in all environments.
What must the testing team do before they can start integration testing the API in the Staging environment?

A. They must access the API portal and create an API notebook using the Client ID and Client Secret supplied by the API portal in the Staging environment
B. They must request access to the Staging environment and obtain the Client ID and Client Secret for that environment to be used for testing the API
C. They must request access to the API instance in the Staging environment and obtain a Client ID and Client Secret to be used for testing the API
D. They must be assigned as an API version owner of the API in the Staging environment

正解：C

解説：
Explanation:
* It's mentioned that the API is governed by a Client ID Enforcement policy in all environments.
* Client ID Enforcement policy allows only authorized applications to access the deployed API implementation.
* Each authorized application is configured with credentials: client_id and client_secret.
* At runtime, authorized applications provide the credentials with each request to the API implementation.
MuleSoft Reference: https://docs.mulesoft.com/api-manager/2.x/policy-mule3-client-id-based-policies

質問 # 259
A platform architect includes both an API gateway and a service mesh in the architect of a distributed application for communication management.
Which type of communication management does a service mesh typically perform in this architecture?

A. Between the application and external API implementations.
B. Between services within the application
C. Between the application and external API clients
D. Between application services and the firewall

正解：B

解説：
In a distributed application architecture, a service mesh typically manages communication between services within the application. A service mesh provides a dedicated infrastructure layer that handles service-to-service communication, including service discovery, load balancing, failure recovery, metrics, and monitoring. This allows developers to offload these operational concerns from individual services, ensuring consistent and reliable inter-service communication.
References:
* Understanding Service Mesh
* Service Mesh for Microservices

質問 # 260
......

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Salesforce MuleSoft-Integration-Architect-I過去問題:気楽に試験に合格するSalesforce Certified MuleSoft Integration Architect I

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素敵なMuleSoft-Integration-Architect-I過去問題試験-試験の準備方法-便利なMuleSoft-Integration-Architect-Iシュミレーション問題集

Salesforce Certified MuleSoft Integration Architect I 認定 MuleSoft-Integration-Architect-I 試験問題 (Q255-Q260):

初心者でも合格できる！MuleSoft-Integration-Architect-I 試験問題

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