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Salesforce Certified MuleSoft Platform Integration Architect Sample Questions:

1. Customers call Customer Support when they need clarification on their bills. Customer Support needs seamless access to customer billing information from the E and view generated bills from the DMS.
Which three authorization and authentication needs should an integration consultant consider while integrating the DMS and ESB with Salesforce? should an integration consultant consider while integrating the DMS and ESB with Salesforce? Choose 3 answers

A) Consider Enterprise security needs for access to DMS and EBS.
B) Identify options to maintain DMS and EBS authentication and authorization details in Salesforce.
C) Users should be authorized to view information specific to the customer they are servicing without a need to search for customer.
D) Users should be authenticated into DMS and EBS without having to enter username and password.
E) Consider options to migrate DMS and EBS into Salesforce.

2. What is an advantage of utilizing MUnit for designing unit test suites in Mule applications?

A) It provides tools for mocking and spying on components.
B) It requires minimal setup and configuration.
C) It only supports static analysis of applications.
D) It eliminates the need for any manual testing.

3. An organization has used a Center for Enablement (C4E) to help teach its various business groups best practices for building a large and mature application network.
What is a key performance indicator (KPI) to measure the success of the C4E in teaching the organization's various business groups how to build an application network?

A) The number of each C4E-managed business group's Anypoint Platform user requests to the CloudHub Shared Load Balancer service
B) The number of each business group's APIs that connect with C4E-documented APIs
C) The number of end user or consumer requests per day to C4E-deployed API instances
D) The number of C4E-documented code snippets used by Mule apps deployed by the C4E to each environment in each network region

4. An organization is sizing an Anypoint Virtual Private Cloud (VPC) to extend its internal network to CloudHub 1.0. For this sizing calculation, the organization assumes three production-type environments will each support up to 150 Mule application deployments.
Each Mule application deployment is expected to be configured with two CloudHub 1.0 workers and will use the zero-downtime feature in CloudHub 1.0. This is expected to result in, at most, several Mule application deployments per hour.
What is the minimum number of IP addresses that should be configured for this VPC resulting in the smallest usable range of private IP addresses to support the deployment and zero-downtime of these 150 Mule applications (not accounting for any future Mule applications)?

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

5. Refer to the exhibit.

A shopping cart checkout process consists of a web store back end that sends a sequence of HTTPS POST requests to an Experience API, which in turn invokes a Process API using HTTPS. The web store back end executes in a Java EE application server. All API implementations are Mule applications executing in a customer-hosted Mule runtime. End-to-end correlation of all HTTP requests and responses belonging to each checkout instance is required. This is to be done through a common correlation ID so that all log entries written by the web store back end, Experience API implementation, and Process API implementation include the same correlation ID for all requests and responses belonging to the same checkout instance. What is the most efficient way (using the least amount of custom coding or configuration) for the web store back end and the implementations of the Experience API and Process API to participate in end-to-end correlation of the API invocations for each checkout instance?

A) The web store back end generates a new correlation ID value at the start of checkout and sets it on the X-Correlation-ID HTTP request header in each API invocation belonging to that checkout.
B) The web store back end sends a correlation ID value in the HTTP request body in the way required by the Experience API.
C) The Experience API implementation generates a correlation ID for each incoming HTTP request and passes it to the web store back end in the HTTP response, which includes it in all subsequent API invocations to the Experience API.
D) The web store back end, being a Java EE application, automatically uses the thread-local correlation ID generated by the Java EE application server and automatically transmits that to the Experience API using standard HTTP headers.

Solutions: