An organization is designing Mule application which connects to a legacy backend. It has been reported that backend services are not highly available and experience downtime quite often. As an integration architect which of the below approach you would propose to achieve high reliability goals?
A. Alerts can be configured in Mule runtime so that backend team can be communicated when services are down
B. Until Successful scope can be implemented while calling backend API's
C. On Error Continue scope to be used to call in case of error again
D. Create a batch job with all requests being sent to backend using that job as per the availability of backend API's
Explanation
Correct answer is Untill Successful scope can be implemented while calling backend API's The Until Successful scope repeatedly triggers the scope's components (including flow references) until they all succeed or until a maximum number of retries is exceeded The scope provides option to control the max number of retries and the interval between retries The scope can execute any sequence of processors that may fail for whatever reason and may succeed upon retry
What Mule application can have API policies applied by Anypoint Platform to the endpoint exposed by that Mule application?
A. A Mule application that accepts requests over HTTP/1x
B. A Mule application that accepts JSON requests over TCP but is NOT required to provide a response.
C. A Mule application that accepts JSON requests over WebSocket
D. A Mule application that accepts gRPC requests over HTTP/2
Explanation
* HTTP/1.1 keeps all requests and responses in plain text format.
* HTTP/2 uses the binary framing layer to encapsulate all messages in binary format, while still maintaining HTTP semantics, such as verbs, methods, and headers. It came into use in 2015, and offers several methods to decrease latency, especially when dealing with mobile platforms and server-intensive graphics and videos
* Currently, Mule application can have API policies only for Mule application that accepts requests over HTTP/1x
A developer is examining the responses from a RESTful web service that is compliant with the Mypertext Transfer Protocol (HTTP/1.1) a8 defined by the Internet Engineering Task Force (IETF). In this HTTP/1.1-compliant web service, which class of HTTP response status codes should be specified to indicate when client requests are successfully received, understood, and accepted by the web service?
A. 3xx
B. 2xx
C. 4xx
D. 5xx
Explanation:
In an HTTP/1.1-compliant web service, the class of HTTP response status codes that indicates successful client requests is the 2xx class. These status codes signify that the client's request was successfully received, understood, and accepted by the web service. Common 2xx status codes include:
200 OK: The request was successful.
201 Created: The request was successful and a new resource was created.
202 Accepted: The request has been accepted for processing, but the processing is not yet complete.
Other status code classes like 3xx (redirection), 4xx (client errors), and 5xx (server errors) indicate different types of responses and do not signify successful request processing.
References
IETF RFC 2616: HTTP/1.1 Specification
HTTP Status Code Definitions
A Mule application uses APIkit for SOAP to implement a SOAP web service. The Mule application has been deployed to a CloudHub worker in a testing environment.
The integration testing team wants to use a SOAP client to perform Integration testing. To carry out the integration tests, the integration team must obtain the interface definition for the SOAP web service.
What is the most idiomatic (used for its intended purpose) way for the integration testing team to obtain the interface definition for the deployed SOAP web service in order to perform integration testing with the SOAP client?
A. Retrieve the OpenAPI Specification file(s) from API Manager
B. Retrieve the WSDL file(s) from the deployed Mule application
C. Retrieve the RAML file(s) from the deployed Mule application
D. Retrieve the XML file(s) from Runtime Manager
Explanation:
Reference: [Reference: https://docs.spring.io/spring-framework/docs/4.2.x/spring-framework-reference/html/integration-testing.html , , , ]
An organization plans to extend its Mule APIs to the EU (Frankfurt) region.
Currently, all Mule applications are deployed to CloudHub 1.0 in the default North American region, from the North America control plane, following this naming convention: {API-name}—{environment} (for example, Orderssapi—dev, Orders-sapi-—qa, Orders-sapi-—prod, etc.).
There is no network restriction to block communications between APIs.
What strategy should be implemented in order to deploy the same Mule APIs to the CloudHub 1.0 EU region from the North America control plane,
as well as to minimize latency between APIs and target users and systems in Europe?
A. In Runtime Manager, for each Mule application deployment, set the Region property to EU (Frankfurt) and reuse the same Mule application mame as in the North American
region.
Communicate the new urls {API-name}—{environment}.de-ci.cloudhub.io to the consuming API clients In Europe.
B. In API Manager, set the Region property to EU (Frankfurt) to create an API proxy named {API-name}—proxy—{environment} for each Mule application.
Communicate the new url {API-name}—proxy—{environment}.de-c1.cloudhub.io to the consuming API clients In Europe.
C. In Runtime Manager, for each Mule application deployment, leave the Region property
blank (default) and change the Mule application name to {API-name}—
{environment).de-cl.
Communicate the new urls {API-name}—{environment}.de-ci1.cloudhub.io to the
consuming API clients in Europe.
D. In API Manager, leave the Region property blank (default) to deploy an API proxy named {API-name}~proxy~- (environment}.de-cl for each Mule application.
Communicate the new url {API-name}—proxy—{environment}.de-cl.cloudhub.io to the consuming API clients in Europe.
Explanation:
To extend Mule APIs to the EU (Frankfurt) region and minimize latency for European users, follow these steps:
Set Region Property: In Runtime Manager, for each Mule application deployment, set the Region property to EU (Frankfurt). This deploys the application to the desired region, optimizing performance for European users.
Reuse Application Names: Keep the same Mule application names as used in the North American region. This approach maintains consistency and simplifies management.
Communicate New URLs: Inform the consuming API clients in Europe of the new URLs in the format {API-name}—{environment}.de-ci.cloudhub.io. These URLs will direct the clients to the applications deployed in the EU region, ensuring reduced latency and improved performance.
This strategy effectively deploys the same Mule APIs to the CloudHub EU region, leveraging the existing control plane in North America.
A developer needs to discover which API specifications have been created within the organization before starting a new project. Which Anypoint Platform component can the developer use to find and try out the currently released API specifications?
A. Anypoint Exchange
B. Runtime Manager
C. API Manager
D. Object Store
Explanation:
To discover which API specifications have been created within the organization before starting a new project, a developer can use Anypoint Exchange. Anypoint Exchange is a centralized repository on the Anypoint Platform where developers can find, share, and collaborate on API specifications, connectors, templates, and other reusable assets.
In Anypoint Exchange, developers can browse the currently released API specifications, try them out using the built-in testing tools, and access documentation and other resources. This facilitates the reuse of existing APIs and ensures that the new project aligns with the organization's API strategy.
References
MuleSoft Documentation on Anypoint Exchange
Best Practices for API Reuse and Discovery
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?
A. 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
B. 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
C. 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
D. 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
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
What is an advantage of using OAuth 2.0 client credentials and access tokens over only API keys for API authentication?
A. If the access token is compromised, the client credentials do not to be reissued.
B. If the access token is compromised, I can be exchanged for an API key.
C. If the client ID is compromised, it can be exchanged for an API key
D. If the client secret is compromised, the client credentials do not have to be reissued.
Explanation:
The advantage of using OAuth 2.0 client credentials and access tokens over only API keys for API authentication is that if the access token is compromised, the client credentials do not have to be reissued.
OAuth 2.0 is a secure protocol for authenticating clients and authorizing them to access protected resources. It works by having the client authenticate with the authorization server and receive an access token, which is then used to authenticate requests to the API. If the access token is compromised, it can be revoked and replaced without needing to reissue the client credentials.
References: MuleSoft Certified Integration Architect - Level 1 Official Text Book and Resources:
Chapter 7: Security
Section 7.2: OAuth 2.0
According to the National Institute of Standards and Technology (NIST), a hybrid cloud is a cloud computing deployment model that describes a composition of two or more distinct cloud infrastructures (private, community, or public) that remain unique entities but are bound together by standardized or proprietary technology that enables data and application portability. Hybrid clouds allow organizations to leverage the advantages of multiple cloud environments, such as combining the scalability and cost-efficiency of public clouds with the security and control of private clouds. This model facilitates flexibility and dynamic scalability, supporting diverse workloads and business needs while ensuring that sensitive data and applications can remain in a controlled private environment.
References
NIST Definition of Cloud Computing
Hybrid Cloud Overview and Benefits
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?
A. Unit testing (white box)
B. Integration testing
C. Functional testing (black box)
D. Performance testing
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
A company is modernizing its legal systems lo accelerate access lo applications and data while supporting the adoption of new technologies. The key to achieving this business goal is unlocking the companies' key systems and dala including microservices miming under Docker and kubernetes containers using apis. Considering the current aggressive backlog and project delivery requirements the company wants to take a strategic approach in the first phase of its transformation projects by quickly deploying API's in mule runtime that are able lo scale, connect to on premises systems and migrate as needed. Which runtime deployment option supports company's goals?
A. Customer hosted self provisioned runtimes
B. Cloudhub runtimes
C. Runtime fabric on self managed Kubernetes
D. Runtime fabric on Vmware metal
Explanation:
To support the company's goals of unlocking key systems and data, quickly deploying scalable APIs, and connecting to on-premises systems, while also preparing for future migrations, the best runtime deployment option is using Runtime Fabric on self-managed Kubernetes. Here's why:
Scalability: Kubernetes is designed to scale applications easily and efficiently. By deploying Mule runtimes on a self-managed Kubernetes cluster, the company can dynamically scale its APIs based on demand, ensuring performance and reliability.
Flexibility: Running on self-managed Kubernetes allows the company to have control over the infrastructure. They can customize the environment to meet their specific needs, integrate with existing on-premises systems, and support their microservices architecture running in Docker containers.
Future-Proofing: Kubernetes supports hybrid and multi-cloud deployments, making it easier to migrate workloads between different environments as needed. This aligns with the company's goal of being able to migrate their systems as part of their strategic approach.
Efficiency: By leveraging Kubernetes, the company can automate deployment, scaling, and management of containerized applications, reducing the burden on IT and DevOps teams.
References:
MuleSoft Documentation on Runtime Fabric: https://docs.mulesoft.com/runtime-fabric/1.9/
Kubernetes Documentation: https://kubernetes.io/docs/home/
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