What is a best practice when building System APIs?
A.
Document the API using an easily consumable asset like a RAML definition
B.
Model all API resources and methods to closely mimic the operations of the backend system
C.
Build an Enterprise Data Model (Canonical Data Model) for each backend system and apply it to System APIs
D.
Expose to API clients all technical details of the API implementation's interaction wifch
the backend system
Model all API resources and methods to closely mimic the operations of the backend system
Explanation: Explanation
Correct Answer: Model all API resources and methods to closely mimic the operations of
the backend system.
*****************************************
>> There are NO fixed and straight best practices while opting data models for APIs. They
are completly contextual and depends on number of factors. Based upon those factors, an
enterprise can choose if they have to go with Enterprise Canonical Data Model or Bounded
Context Model etc.
>> One should NEVER expose the technical details of API implementation to their API
clients. Only the API interface/ RAML is exposed to API clients.
>> It is true that the RAML definitions of APIs should be as detailed as possible and should
reflect most of the documentation. However, just that is NOT enough to call your API as
best documented API. There should be even more documentation on Anypoint Exchange
with API Notebooks etc. to make and create a developer friendly API and repository..
>> The best practice always when creating System APIs is to create their API interfaces by
modeling their resources and methods to closely reflect the operations and functionalities
of that backend system.
What is true about automating interactions with Anypoint Platform using tools such as Anypoint Platform REST APIs, Anypoint CU, or the Mule Maven plugin?
A.
Access to Anypoint Platform APIs and Anypoint CU can be controlled separately through the roles and permissions in Anypoint Platform, so that specific users can get access to Anypoint CLI white others get access to the platform APIs
B.
Anypoint Platform APIs can ONLY automate interactions with CloudHub, while the Mule Maven plugin is required for deployment to customer-hosted Mule runtimes
C.
By default, the Anypoint CLI and Mule Maven plugin are NOT included in the Mule runtime, so are NOT available to be used by deployed Mule applications
D.
API policies can be applied to the Anypoint Platform APIs so that ONLY certain LOBs have access to specific functions
By default, the Anypoint CLI and Mule Maven plugin are NOT included in the Mule runtime, so are NOT available to be used by deployed Mule applications
Explanation: Explanation
Correct Answer: By default, the Anypoint CLI and Mule Maven plugin are NOT included in
the Mule runtime, so are NOT available to be used by deployed Mule applications
*****************************************
>> We CANNOT apply API policies to the Anypoint Platform APIs like we can do on our
custom written API instances. So, option suggesting this is FALSE.
>> Anypoint Platform APIs can be used for automating interactions with both CloudHub
and customer-hosted Mule runtimes. Not JUST the CloudHub. So, option opposing this is
FALSE.
>> Mule Maven plugin is NOT mandatory for deployment to customer-hosted Mule
runtimes. It just helps your CI/CD to have smoother automation. But not a compulsory
requirement to deploy. So, option opposing this is FALSE.
>> We DO NOT have any such special roles and permissions on the platform to separately
control access for some users to have Anypoint CLI and others to have Anypoint Platform
APIs. With proper general roles/permissions (API Owner, Cloudhub Admin etc..), one can
use any of the options (Anypoint CLI or Platform APIs). So, option suggesting this is
FALSE.
Only TRUE statement given in the choices is that - Anypoint CLI and Mule Maven plugin
are NOT included in the Mule runtime, so are NOT available to be used by deployed Mule
applications.
Maven is part of Studio or you can use other Maven installation for development.
CLI is convenience only. It is one of many ways how to install app to the runtime.
These are definitely NOT part of anything except your process of deployment or
automation.
A system API has a guaranteed SLA of 100 ms per request. The system API is deployed to a primary environment as well as to a disaster recovery (DR) environment, with different DNS names in each environment. An upstream process API invokes the system API and the main goal of this process API is to respond to client requests in the least possible time. In what order should the system APIs be invoked, and what changes should be made in order to speed up the response time for requests from the process API?
A. In parallel, invoke the system API deployed to the primary environment and the system API deployed to the DR environment, and ONLY use the first response
B. In parallel, invoke the system API deployed to the primary environment and the system API deployed to the DR environment using a scatter-gather configured with a timeout, and then merge the responses
C. Invoke the system API deployed to the primary environment, and if it fails, invoke the system API deployed to the DR environment
D. Invoke ONLY the system API deployed to the primary environment, and add timeout and retry logic to avoid intermittent failures
Explanation: Explanation
Correct Answer: In parallel, invoke the system API deployed to the primary environment
and the system API deployed to the DR environment, and ONLY use the first response.
*****************************************
>> The API requirement in the given scenario is to respond in least possible time.
>> The option that is suggesting to first try the API in primary environment and then
fallback to API in DR environment would result in successful response but NOT in least
possible time. So, this is NOT a right choice of implementation for given requirement.
>> Another option that is suggesting to ONLY invoke API in primary environment and to
add timeout and retries may also result in successful response upon retries but NOT in
least possible time. So, this is also NOT a right choice of implementation for given
requirement.
>> One more option that is suggesting to invoke API in primary environment and API in DR
environment in parallel using Scatter-Gather would result in wrong API response as it
would return merged results and moreover, Scatter-Gather does things in parallel which is
true but still completes its scope only on finishing all routes inside it. So again, NOT a right
choice of implementation for given requirement
The Correct choice is to invoke the API in primary environment and the API in DR
environment parallelly, and using ONLY the first response received from one of them
A large lending company has developed an API to unlock data from a database server and web server. The API has been deployed to Anypoint Virtual Private Cloud (VPC) on CloudHub 1.0. The database server and web server are in the customer's secure network and are not accessible through the public internet. The database server is in the customer's AWS VPC, whereas the web server is in the customer's on-premises corporate data center. How can access be enabled for the API to connect with the database server and the web server?
A. Set up VPC peering with AWS VPC and a VPN tunnel to the customer's on-premises corporate data center
B. Set up VPC peering with AWS VPC and the customer's on-premises corporate data center
C. Setup a transit gateway to the customer's on-premises corporate data center through AWS VPC
D. Set up VPC peering with the customer's on-premises corporate data center and a VPN tunnel to AWS VPC
Explanation:
The asset version 2.0.0 of the Order API is successfully published in Exchange and configured in API Manager with the Autodiscovery API ID correctly linked to the API implementation, A new GET method is added to the existing API specification, and after updates, the asset version of the Order API is 2.0.1. What happens to the Autodiscovery API ID when the new asset version is updated in API Manager?
A. The API ID changes, but no changes are needed to the API implementation for the new asset version in the API Autediscovery global element because the API ID is automatically updated
B. The APL ID changes, so the API implementation must be updated with the latest API ID for the new asset version in the API Autodiscovery global element
C. The APLID does not change, so no changes to the APT implementation are needed for the new asset version in the API Autodiscovery global element
D. The APL ID does not change, but the API implementation must be updated in the AP] Autodiscovery global element to indicate the new asset version 2.0.4
Explanation:
Understanding API Autodiscovery in MuleSoft:
Effect of Asset Version Update on API Autodiscovery:
Evaluating the Options:
How are an API implementation, API client, and API consumer combined to invoke and process an API?
A.
The API consumer creates an API implementation, which receives API invocations from
an API such that they are processed for an API client
B.
The API client creates an API consumer, which receives API invocations from an API such that they are processed for an API implementation
C.
The ApI consumer creates an API client, which sends API invocations to an API such that they are processed by an API implementation
D.
The ApI client creates an API consumer, which sends API invocations to an API such that they are processed by an API implementation
The ApI consumer creates an API client, which sends API invocations to an API such that they are processed by an API implementation
Explanation:
Explanation
Correct Answer: The API consumer creates an API client, which sends API invocations to
an API such that they are processed by an API implementation
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Terminology:
>> API Client - It is a piece of code or program the is written to invoke an API
>> API Consumer - An owner/entity who owns the API Client. API Consumers write API
clients.
>> API - The provider of the API functionality. Typically an API Instance on API Manager
where they are managed and operated.
>> API Implementation - The actual piece of code written by API provider where the
functionality of the API is implemented. Typically, these are Mule Applications running on
Runtime Manager.
A circuit breaker strategy is planned in order to meet the goal of improved response time
and demand on a downstream API.
A. Create a custom policy that implements the circuit breaker and includes policy template expressions for the required settings
B. Create Anypoint Monitoring alerts for Circuit Open/Closed configurations, and then implement a retry strategy for Circuit Half-Open configuration
C. Add the Circuit Breaker policy to the API instance, and configure the required settings
D. Implement the strategy in a Mule application, and provide the settings in the YAML configuration
An organization wants to create a Center for Enablement (C4E). The IT director schedules a series of meetings with IT senior managers. What should be on the agenda of the first meeting?
A. Define C4E objectives, mission statement, guiding principles, a
B. Explore API monetization options based on identified use cases through MuleSoft
C. A walk through of common-services best practices for logging, auditing, exception handling, caching, security via policy, and rate limiting/throttling via policy
D. Specify operating model for the MuleSoft Integrations division
Explanation:
In the initial meeting for establishing a Center for Enablement (C4E), it’s
essential to lay the foundational vision, objectives, and guiding principles for the team.
Here’s why this is crucial:
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