QUESTION: 53

An integration Mute application consumes and processes a list of rows from a CSV file. Each row must be read from the CSV file, validated, and the row data sent to a JMS queue, in the exact order as in the CSV file.
If any processing step for a row falls, then a log entry must be written for that row, but processing of other rows must not be affected.
What combination of Mute components is most idiomatic (used according to their intended purpose)

when Implementing the above requirements?

Scatter-Gather component On Error Continue scope
VM connector first Successful scope On Error Propagate scope
For Each scope On Error Continue scope
Async scope On Error Propagate scope

Answer(s): C

Explanation:

* On Error Propagate halts execution and sends error to the client. In this scenario it's mentioned that "processing of other rows must not be affected" so Option B and C are ruled out.
* Scatter gather is used to club multiple responses together before processing. In this scenario, we need sequential processing. So option A is out of choice.
* Correct answer is For Each scope & On Error Continue scope Below requirement can be fulfilled in the below way
1) Using For Each scope , which will send each row from csv file sequentially. each row needs to be sent sequentially as requirement is to send the message in exactly the same way as it is mentioned in the csv file
2) Also other part of requirement is if any processing step for a row fails then it should log an error but should not affect other record processing . This can be achieved using On error Continue scope on these set of activities. so that error will not halt the processing. Also logger needs to be added in error handling section so that it can be logged.
* Attaching diagram for reference. Here it's try scope, but similar would be the case with For Each loop.

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QUESTION: 54

An organization's security policies mandate complete control of the login credentials used to log in to Anypoint Platform.
What feature of Anypoint Platform should be used to meet this requirement?

Enterprise Security Module
Client ID Secret
Federated Identity Management
Federated Client Management

Answer(s): C

Explanation:

Correct answer is Federated Identity Management As the Anypoint Platform organization administrator, you can configure identity management in Anypoint Platform to set up users for single sign-on (SSO). Configure identity management using one of the following single sign-on standards:
OpenID Connect: End user identity verification by an authorization server including SSO SAML 2.0:
Web-based authorization including cross-domain SSO Where as Client Management is where Anypoint Platform acts as a client provider by default, but you can also configure external client providers to authorize client applications. As an API owner, you can apply an OAuth 2.0 policy to authorize client applications that try to access your API. You need an OAuth 2.0 provider to use an OAuth 2.0 policy

Reference:

https://help.mulesoft.com/s/article/How-federated-users-are-mapped-to-Anypoint- Platform-Business-Groups-when-External-Identity-is-enabled https://docs.mulesoft.com/access-management/external-identity

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QUESTION: 55

Refer to the exhibit.

An organization is sizing an Anypoint VPC for the non-production deployments of those Mule applications that connect to the organization's on-premises systems. This applies to approx. 60 Mule applications. Each application is deployed to two CloudHub i workers. The organization currently has three non-production environments (DEV, SIT and UAT) that share this VPC. The AWS region of the VPC has two AZs.
The organization has a very mature DevOps approach which automatically progresses each application through all non-production environments before automatically deploying to production.

This process results in several Mule application deployments per hour, using CloudHub's normal zero-downtime deployment feature.
What is a CIDR block for this VPC that results in the smallest usable private IP address range?

10.0.0.0/26 (64 IPS)
10.0.0.0/25 (128 IPs)
10.0.0.0/24 (256 IPs)
10.0.0.0/22 (1024 IPs)

Answer(s): D

Explanation:

Mule applications are deployed in CloudHub workers and each worker is assigned with a dedicated IP · For zero downtime deployment, each worker in CloudHub needs additional IP addresses · A few IPs in a VPC are reserved for infrastructure (generally 2 IPs) · The IP addresses are usually in a private range with a subnet block specifier, such as 10.0.0.1/24 · The smallest CIDR network subnet block you can assign for your VPC is /24 (256 IP addresses) (60*3 env * 2 worker per application ) + 50% of (total) for zero downtime = 540 In this case correct answer is 10.0.0.0/22 as this provided 1024 IP's .
Other IP's are insufficient.

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QUESTION: 56

What Is a recommended practice when designing an integration Mule 4 application that reads a large XML payload as a stream?

The payload should be dealt with as a repeatable XML stream, which must only be traversed (iterated-over) once and CANNOT be accessed randomly from DataWeave expressions and scripts
The payload should be dealt with as an XML stream, without converting it to a single Java object (POJO)
The payload size should NOT exceed the maximum available heap memory of the Mute runtime on which the Mule application executes
The payload must be cached using a Cache scope If It Is to be sent to multiple backend systems

Answer(s): C

Explanation:

If the size of the stream exceeds the maximum, a STREAM_MAXIMUM_SIZE_EXCEEDED error is raised.

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Free MuleSoft-Integration-Architect-I Exam Braindumps (page: 14)

QUESTION: 53

Explanation:

QUESTION: 54

Explanation:

Reference:

QUESTION: 55

Explanation:

QUESTION: 56

Explanation: