Question 1

A Mule application is being designed To receive nightly a CSV file containing millions of records from an external vendor over SFTP, The records from the file need to be validated, transformed. And then written to a database. Records can be inserted into the database in any order. In this use case, what combination of Mule components provides the most effective and performant way to write these records to the database?

Options :

A : Use a Parallel for Each scope to Insert records one by one into the database

B : Use a Scatter-Gather to bulk insert records into the database

C : Use a Batch job scope to bulk insert records into the database.

D : Use a DataWeave map operation and an Async scope to insert records one by one into the database.

Answer: C

Question 2

An organization currently uses a multi-node Mule runtime deployment model within their datacenter, so each Mule runtime hosts several Mule applications. The organization is planning to transition to a deployment model based on Docker containers in a Kubernetes cluster. The organization has already created a standard Docker image containing a Mule runtime and all required dependencies (including a JVM), but excluding the Mule application itself. What is an expected outcome of this transition to container-based Mule application deployments?

Options :

A : Required redesign of Mule applications to follow microservice architecture principles

B : Required migration to the Docker and Kubernetes-based Anypoint Platform - Private Cloud Edition

C : Required change to the URL endpoints used by clients to send requests to the Mule applications

D : Guaranteed consistency of execution environments across all deployments of a Mule application

Answer: A

Question 3

During a planning session with the executive leadership, the development team director presents plans for a new API to expose the data in the company’s order database. An earlier effort to build an API on top of this data failed, so the director is recommending a design-first approach. Which characteristics of a design-first approach will help make this API successful?

Options :

A : Building MUnit tests so administrators can confirm code coverage percentage during deployment

B : Publishing the fully implemented API to Exchange so all developers can reuse the API

C : Adding global policies to the API so all developers automatically secure the implementation before coding anything

D : Developing a specification so consumers can test before the implementation is built

Answer: D

Question 4

A Mule application name Pub uses a persistence object store. The Pub Mule application is deployed to Cloudhub and it configured to use Object Store v2. Another Mule application name sub is being developed to retrieve values from the Pub Mule application persistence object Store and will also be deployed to cloudhub. What is the most direct way for the Sub Mule application to retrieve values from the Pub Mule application persistence object store with the least latency?

Options :

A : Use an object store connector configured to access the Pub Mule application persistence object store

B : Use a VM connector configured to directly access the persistence queue of the Pub Mule application persistence object store.

C : Use an Anypoint MQ connector configured to directly access the Pub Mule application persistence object store

D : Use the Object store v2 REST API configured to access the Pub Mule application persistence object store

Answer: D

Question 5

A leading bank implementing new mule API. The purpose of API to fetch the customer account balances from the backend application and display them on the online platform the online banking platform. The online banking platform will send an array of accounts to Mule API get the account balances. As a part of the processing the Mule API needs to insert the data into the database for auditing purposes and this process should not have any performance related implications on the account balance retrieval flow How should this requirement be implemented to achieve better throughput?

Options :

A : Implement the Async scope fetch the data from the backend application and to insert records in the Audit database

B : Implement a for each scope to fetch the data from the back-end application and to insert records into the Audit database

C : Implement a try-catch scope to fetch the data from the back-end application and use the Async scope to insert records into the Audit database

D : Implement parallel for each scope to fetch the data from the backend application and use Async scope to insert the records into the Audit database

Answer: C

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