A company requires Mule applications deployed to CloudHub to be isolated between nonproduction
and production environments. This is so Mule applications deployed to nonproduction
environments can only access backend systems running in their customerhosted
non-production environment, and so Mule applications deployed to production
environments can only access backend systems running in their customer-hosted
production environment. How does MuleSoft recommend modifying Mule applications,
configuring environments, or changing infrastructure to support this type of perenvironment
isolation between Mule applications and backend systems?
A.
Modify properties of Mule applications deployed to the production Anypoint Platform
environments to prevent access from non-production Mule applications
B.
Configure firewall rules in the infrastructure inside each customer-hosted environment so
that only IP addresses from the corresponding Anypoint Platform environments are allowed
to communicate with corresponding backend systems
C.
Create non-production and production environments in different Anypoint Platform
business groups
D.
Create separate Anypoint VPCs for non-production and production environments, then configure connections to the backend systems in the corresponding customer-hosted
environments
Create separate Anypoint VPCs for non-production and production environments, then configure connections to the backend systems in the corresponding customer-hosted
environments
Explanation: Explanation
Correct Answer: Create separate Anypoint VPCs for non-production and production
environments, then configure connections to the backend systems in the corresponding
customer-hosted environments.
*****************************************
>> Creating different Business Groups does NOT make any difference w.r.t accessing the
non-prod and prod customer-hosted environments. Still they will be accessing from both
Business Groups unless process network restrictions are put in place.
>> We need to modify or couple the Mule Application Implementations with the
environment. In fact, we should never implements application coupled with environments
by binding them in the properties. Only basic things like endpoint URL etc should be
bundled in properties but not environment level access restrictions.
>> IP addresses on CloudHub are dynamic until unless a special static addresses are
assigned. So it is not possible to setup firewall rules in customer-hosted infrastrcture. More
over, even if static IP addresses are assigned, there could be 100s of applications running
on cloudhub and setting up rules for all of them would be a hectic task, non-maintainable
and definitely got a good practice.
>> The best practice recommended by Mulesoft (In fact any cloud provider), is to have
your Anypoint VPCs seperated for Prod and Non-Prod and perform the VPC peering or
VPN tunneling for these Anypoint VPCs to respective Prod and Non-Prod customer-hosted
environment networks.
: https://docs.mulesoft.com/runtime-manager/virtual-private-cloud
Bottom of Form
Top of Form
Which of the below, when used together, makes the IT Operational Model effective?
A.
Create reusable assets, Do marketing on the created assets across organization, Arrange time to time LOB reviews to ensure assets are being consumed or not
B.
Create reusable assets, Make them discoverable so that LOB teams can self-serve and browse the APIs, Get active feedback and usage metrics
C.
Create resuable assets, make them discoverable so that LOB teams can self-serve and browse the APIs
Create resuable assets, make them discoverable so that LOB teams can self-serve and browse the APIs
Explanation: Explanation
Correct Answer: Create reusable assets, Make them discoverable so that LOB teams can self-serve and browse the APIs, Get active feedback and usage metrics.
Diagram, arrow
Description automatically generated
An organization has several APIs that accept JSON data over HTTP POST. The APIs are
all publicly available and are associated with several mobile applications and web
applications.
The organization does NOT want to use any authentication or compliance policies for these
APIs, but at the same time, is worried that some bad actor could send payloads that could
somehow compromise the applications or servers running the API implementations.
What out-of-the-box Anypoint Platform policy can address exposure to this threat?
A.
Shut out bad actors by using HTTPS mutual authentication for all API invocations
B.
Apply an IP blacklist policy to all APIs; the blacklist will Include all bad actors
C.
Apply a Header injection and removal policy that detects the malicious data before it is used
D.
Apply a JSON threat protection policy to all APIs to detect potential threat vectors
Apply a JSON threat protection policy to all APIs to detect potential threat vectors
Explanation: Explanation
Correct Answer: Apply a JSON threat protection policy to all APIs to detect potential threat
vectors
*****************************************
>> Usually, if the APIs are designed and developed for specific consumers (known
consumers/customers) then we would IP Whitelist the same to ensure that traffic only
comes from them.
>> However, as this scenario states that the APIs are publicly available and being used by
so many mobile and web applications, it is NOT possible to identify and blacklist all
possible bad actors.
>> So, JSON threat protection policy is the best chance to prevent any bad JSON payloads
from such bad actors.
An API experiences a high rate of client requests (TPS) vwth small message paytoads.
How can usage limits be imposed on the API based on the type of client application?
A.
Use an SLA-based rate limiting policy and assign a client application to a matching SLA
tier based on its type
B.
Use a spike control policy that limits the number of requests for each client application
type
C.
Use a cross-origin resource sharing (CORS) policy to limit resource sharing between
client applications, configured by the client application type
D.
Use a rate limiting policy and a client ID enforcement policy, each configured by the
client application type
Use an SLA-based rate limiting policy and assign a client application to a matching SLA
tier based on its type
Explanation: Correct Answer: Use an SLA-based rate limiting policy and assign a client
application to a matching SLA tier based on its type.
*****************************************
>> SLA tiers will come into play whenever any limits to be imposed on APIs based on client
type
Reference: https://docs.mulesoft.com/api-manager/2.x/rate-limiting-and-throttling-slabased-
policies
A company has started to create an application network and is now planning to implement a Center for Enablement (C4E) organizational model. What key factor would lead the company to decide upon a federated rather than a centralized C4E?
A.
When there are a large number of existing common assets shared by development teams
B.
When various teams responsible for creating APIs are new to integration and hence need extensive training
C.
When development is already organized into several independent initiatives or groups
D.
When the majority of the applications in the application network are cloud based
When development is already organized into several independent initiatives or groups
Explanation: Explanation
Correct Answer: When development is already organized into several independent
initiatives or groups
*****************************************
>> It would require lot of process effort in an organization to have a single C4E team
coordinating with multiple already organized development teams which are into several
independent initiatives. A single C4E works well with different teams having at least a
common initiative. So, in this scenario, federated C4E works well instead of centralized
C4E.
A developer from the Central IT team has created an initial version of the RAML definition in Design Center for an OAuth 2.0-protected System API and published it to Exchange. Another developer from LoB IT discovered the System API in Exchange and would like to leverage it in the Process API. What is the MuleSoft-recommended approach for Process API to invoke the System API?
A. The Process API needs to import an CAuth 2.0 module from Exchange first and update it with OAuth 2.0 credentials before the System API can be invoked
B. The Process API uses property YAML files to store the System API URLs and uses the HTTP Request Connector to invoke the Systerm API
C. The Process APL uses the REST Connect Connector autogenerated in Exchange for the System API
D. The Process API manually updates the Process API POM file to include the System API as a dependency
Explanation:
In MuleSoft’s ecosystem, when a Process API needs to consume a System
API (published to Exchange and protected by OAuth 2.0), the recommended approach is to
utilize the REST Connect Connector. Here’s how it aligns with best practices:
An Order API must be designed that contains significant amounts of integration logic and
involves the invocation of the Product API.
The power relationship between Order API and Product API is one of "Customer/Supplier",
because the Product API is used heavily throughout the organization and is developed by a
dedicated development team located in the office of the CTO.
What strategy should be used to deal with the API data model of the Product API within the
Order API?
A.
Convince the development team of the Product API to adopt the API data model of the Order API such that the integration logic of the Order API can work with one consistent internal data model
B.
Work with the API data types of the Product API directly when implementing the integration logic of the Order API such that the Order API uses the same (unchanged) data types as the Product API
C.
Implement an anti-corruption layer in the Order API that transforms the Product API data
model into internal data types of the Order API
D.
Start an organization-wide data modeling initiative that will result in an Enterprise Data
Model that will then be used in both the Product API and the Order API
Implement an anti-corruption layer in the Order API that transforms the Product API data
model into internal data types of the Order API
Explanation: Explanation
Correct Answer: Convince the development team of the product API to adopt the API data
model of the Order API such that integration logic of the Order API can work with one
consistent internal data model
*****************************************
Key details to note from the given scenario:
>> Power relationship between Order API and Product API is customer/supplier
So, as per below rules of "Power Relationships", the caller (in this case Order API) would
request for features to the called (Product API team) and the Product API team would need
to accomodate those requests.
What should be ensured before sharing an API through a public Anypoint Exchange portal?
A.
The visibility level of the API instances of that API that need to be publicly accessible should be set to public visibility
B.
The users needing access to the API should be added to the appropriate role in
Anypoint Platform
C.
The API should be functional with at least an initial implementation deployed and accessible for users to interact with
D.
The API should be secured using one of the supported authentication/authorization mechanisms to ensure that data is not compromised
The visibility level of the API instances of that API that need to be publicly accessible should be set to public visibility
Explanation: Explanation
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