QUESTION: 5

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?

Use a Parallel for Each scope to Insert records one by one into the database
Use a Scatter-Gather to bulk insert records into the database
Use a Batch job scope to bulk insert records into the database.
Use a DataWeave map operation and an Async scope to insert records one by one into the database.

Answer(s): C

Explanation:

Correct answer is Use a Batch job scope to bulk insert records into the database

* Batch Job is most efficient way to manage millions of records.
A few points to note here are as follows :
Reliability: If you want reliabilty while processing the records, i.e should the processing survive a runtime crash or other unhappy scenarios, and when restarted process all the remaining records, if yes then go for batch as it uses persistent queues.
Error Handling: In Parallel for each an error in a particular route will stop processing the remaining records in that route and in such case you'd need to handle it using on error continue, batch process does not stop during such error instead you can have a step for failures and have a dedicated handling in it.
Memory footprint: Since question said that there are millions of records to process, parallel for each will aggregate all the processed records at the end and can possibly cause Out Of Memory. Batch job instead provides a BatchResult in the on complete phase where you can get the count of failures and success. For huge file processing if order is not a concern definitely go ahead with Batch Job.

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QUESTION: 6

An automation engineer needs to write scripts to automate the steps of the API lifecycle, including steps to create, publish, deploy and manage APIs and their implementations in Anypoint Platform.

What Anypoint Platform feature can be used to automate the execution of all these actions in scripts in the easiest way without needing to directly invoke the Anypoint Platform REST APIs?

Automated Policies in API Manager
Runtime Manager agent
The Mule Maven Plugin
Anypoint CLI

Answer(s): D

Explanation:

Anypoint Platform provides a scripting and command-line tool for both Anypoint Platform and Anypoint Platform Private Cloud Edition (Anypoint Platform PCE). The command-line interface (CLI) supports both the interactive shell and standard CLI modes and works with: Anypoint Exchange Access management Anypoint Runtime Manager.

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QUESTION: 7

A company wants its users to log in to Anypoint Platform using the company's own internal user credentials. To achieve this, the company needs to integrate an external identity provider (IdP) with the company's Anypoint Platform master organization, but SAML 2.0 CANNOT be used. Besides SAML 2.0, what single-sign-on standard can the company use to integrate the IdP with their Anypoint Platform master organization?

SAML 1.0
OAuth 2.0
Basic Authentication
OpenID Connect

Answer(s): D

Explanation:

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:
1) OpenID Connect: End user identity verification by an authorization server including SSO
2) SAML 2.0: Web-based authorization including cross-domain SSO

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QUESTION: 8

An API implementation is being developed to expose data from a production database via HTTP requests. The API implementation executes a database SELECT statement that is dynamically created based upon data received from each incoming HTTP request. The developers are planning to use various types of testing to make sure the Mule application works as expected, can handle specific workloads, and behaves correctly from an API consumer perspective. What type of testing would typically mock the results from each SELECT statement rather than actually execute it in the production database?

Unit testing (white box)
Integration testing
Functional testing (black box)
Performance testing

Answer(s): A

Explanation:

In Unit testing instead of using actual backends, stubs are used for the backend services. This ensures that developers are not blocked and have no dependency on other systems. In Unit testing instead of using actual backends, stubs are used for the backend services. This ensures that developers are not blocked and have no dependency on other systems. Below are the typical characteristics of unit testing. -
Unit tests do not require deployment into any special environment, such as a staging environment -
Unit tests san be run from within an embedded Mule runtime -
Unit tests can/should be implemented using MUnit.
-
For read-only interactions to any dependencies (such as other APIs): allowed to invoke production endpoints.
-
For write interactions: developers must implement mocks using MUnit -
Require knowledge of the implementation details of the API implementation under test.

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