Palo Alto Networks

Free MuleSoft-Integration-Architect-I Exam Braindumps

QUESTION: 33

An organization has various integrations implemented as Mule applications. Some of these Mule applications are deployed to custom hosted Mule runtimes (on-premises) while others execute in the MuleSoft-hosted runtime plane (CloudHub). To perform the Integra functionality, these Mule applications connect to various backend systems, with multiple applications typically needing to access the backend systems.
How can the organization most effectively avoid creating duplicates in each Mule application of the credentials required to access the backend systems?

Create a Mule domain project that maintains the credentials as Mule domain-shared resources Deploy the Mule applications to the Mule domain, so the credentials are available to the Mule applications
Store the credentials in properties files in a shared folder within the organization's data center Have the Mule applications load properties files from this shared location at startup
Segregate the credentials for each backend system into environment-specific properties files Package these properties files in each Mule application, from where they are loaded at startup
Configure or create a credentials service that returns the credentials for each backend system, and that is accessible from customer-hosted and MuleSoft-hosted Mule runtimes Have the Mule applications toad the properties at startup by invoking that credentials service

Answer(s): D

Explanation:

* "Create a Mule domain project that maintains the credentials as Mule domain-shared resources" is wrong as domain project is not supported in Cloudhub * We should Avoid Creating duplicates in each

Mule application but below two options cause duplication of credentials - Store the credentials in properties files in a shared folder within the organization's data center. Have the Mule applications load properties files from this shared location at startup - Segregate the credentials for each backend system into environment-specific properties files. Package these properties files in each Mule application, from where they are loaded at startup So these are also wrong choices * Credentials service is the best approach in this scenario. Mule domain projects are not supported on CloudHub. Also its is not recommended to have multiple copies of configuration values as this makes difficult to maintain Use the Mule Credentials Vault to encrypt data in a .properties file. (In the context of this document, we refer to the .properties file simply as the properties file.) The properties file in Mule stores data as key-value pairs which may contain information such as usernames, first and last names, and credit card numbers. A Mule application may access this data as it processes messages, for example, to acquire login credentials for an external Web service. However, though this sensitive,

private data must be stored in a properties file for Mule to access, it must also be protected against unauthorized and potentially malicious use by anyone with access to the Mule application

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QUESTION: 34

Refer to the exhibit.

A Mule application is deployed to a cluster of two customer-hosted Mute runtimes. The Mute application has a flow that polls a database and another flow with an HTTP Listener. HTTP clients send HTTP requests directly to individual cluster nodes.
What happens to database polling and HTTP request handling in the time after the primary (master) node of the cluster has railed, but before that node is restarted?

Database polling continues Only HTTP requests sent to the remaining node continue to be accepted
Database polling stops All HTTP requests continue to be accepted
Database polling continues All HTTP requests continue to be accepted, but requests to the failed node Incur increased latency
Database polling stops All HTTP requests are rejected

Answer(s): A

Explanation:

Correct answer is Database polling continues Only HTTP requests sent to the remaining node continue to be accepted. : Architecture descripted in the question could be described as follows.When node 1 is down , DB polling will still continue via node 2 . Also requests which are coming directly to node 2 will also be accepted and processed in BAU fashion. Only thing that wont work is when requests are sent to Node 1 HTTP connector. The flaw with this architecture is HTTP clients are sending HTTP requests directly to individual cluster nodes. By default, clustering Mule runtime engines ensures high system availability. If a Mule runtime engine node becomes unavailable due to failure or planned downtime, another node in the cluster can assume the workload and continue to process existing events and messages

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QUESTION: 35

A global organization operates datacenters in many countries. There are private network links between these datacenters because all business data (but NOT metadata) must be exchanged over these private network connections.
The organization does not currently use AWS in any way.
The strategic decision has Just been made to rigorously minimize IT operations effort and investment going forward.
What combination of deployment options of the Anypoint Platform control plane and runtime plane(s) best serves this organization at the start of this strategic journey?

MuleSoft-hosted Anypoint Platform control plane CloudHub Shared Worker Cloud in multiple AWS regions
Anypoint Platform - Private Cloud Edition Customer-hosted runtime plane in each datacenter
MuleSoft-hosted Anypoint Platform control plane Customer-hosted runtime plane in multiple AWS regions
MuleSoft-hosted Anypoint Platform control plane Customer-hosted runtime plane in each datacenter

Answer(s): D

Explanation:

Correct answer is MuleSoft-hosted Anypoint Platform control plane Customer-hosted runtime plane in each datacenter There are two things to note about the question which can help us figure out correct answer.. * Business data must be exchanged over these private network connections which means we can not use MuleSoft provided Cloudhub option. So we are left with either customer hosted runtime in external cloud provider or customer hosted runtime in their own premises. As customer does not use AWS at the moment. Hence that don't have the immediate option of using Customer-hosted runtime plane in multiple AWS regions. hence the most suitable option for runtime plane is Customer-hosted runtime plane in each datacenter * Metadata has no limitation to reside in organization premises. Hence for control plane MuleSoft hosted Anypoint platform can be used as a strategic solution.
Hybrid is the best choice to start. Mule hosted Control plane and Customer hosted Runtime to start with.
Once they mature in cloud migration, everything can be in Mule hosted.

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QUESTION: 36

Refer to the exhibit.

A Mule application is being designed to be deployed to several CIoudHub workers. The Mule application's integration logic is to replicate changed Accounts from Satesforce to a backend system every 5 minutes.
A watermark will be used to only retrieve those Satesforce Accounts that have been modified since the last time the integration logic ran.
What is the most appropriate way to implement persistence for the watermark in order to support the required data replication integration logic?

Persistent Anypoint MQ Queue
Persistent Object Store
Persistent Cache Scope
Persistent VM Queue

Answer(s): B

Explanation:

* An object store is a facility for storing objects in or across Mule applications. Mule uses object stores to persist data for eventual retrieval.
* Mule provides two types of object stores:
1) In-memory store stores objects in local Mule runtime memory. Objects are lost on shutdown of the Mule runtime.
2) Persistent store Mule persists data when an object store is explicitly configured to be persistent. In a standalone Mule runtime, Mule creates a default persistent store in the file system. If you do not specify an object store, the default persistent object store is used. MuleSoft

Reference:

https://docs.mulesoft.com/mule-runtime/3.9/mule-object-stores

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