4 Production environment is running on a dedicated Virtual Private Cloud (VPC) on CloudHub 1,0, and the security team guidelines clearly state no traffic on HTTP. Which two options support these security guidelines?

A. Option A
B. Option B
C. Option C
D. Option D
E. Option E
Which statement is true about Spike Control policy and Rate Limiting policy?
A. All requests are rejected after the limit is reached in Rate Limiting policy, whereas the requests are queued in Spike Control policy after the limit is reached
B. In a clustered environment, the Rate Limiting.and Spike Control policies are applied to each node in the cluster
C. To protect Experience APIs by limiting resource consumption, Rate Limiting policy must be applied
D. In order to apply Rate Limiting and Spike Control policies, a contract to bind client application and API is needed for both
A customer wants to monitor and gain insights about the number of requests coming in a
given time period as well as to measure key performance indicators
(response times, CPU utilization, number of active APIs).
Which tool provides these data insights?
A. Anypoint Monitoring
B. APT Manager
C. Runtime Alerts
D. Functional Monitoring
An organization makes a strategic decision to move towards an IT operating model that emphasizes consumption of reusable IT assets using modern APIs (as defined by MuleSoft). What best describes each modern API in relation to this new IT operating model?
A.
Each modern API has its own software development lifecycle, which reduces the need for documentation and automation
B.
Each modem API must be treated like a product and designed for a particular target audience (for instance, mobile app developers)
C.
Each modern API must be easy to consume, so should avoid complex authentication mechanisms such as SAML or JWT D
D.
Each modern API must be REST and HTTP based
Each modem API must be treated like a product and designed for a particular target audience (for instance, mobile app developers)
Explanation: Explanation
Correct Answers:
1. Each modern API must be treated like a product and designed for a particular target
audience (for instance mobile app developers)
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What Anypoint Platform Capabilities listed below fall under APIs and API
Invocations/Consumers category? Select TWO.
A.
API Operations and Management
B.
API Runtime Execution and Hosting
C.
API Consumer Engagement
D.
API Design and Development
API Design and Development
Explanation: Explanation
Correct Answers: API Design and Development and API Runtime Execution and Hosting
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>> API Design and Development - Anypoint Studio, Anypoint Design Center, Anypoint
Connectors
>> API Runtime Execution and Hosting - Mule Runtimes, CloudHub, Runtime Services
>> API Operations and Management - Anypoint API Manager, Anypoint Exchange
>> API Consumer Management - API Contracts, Public Portals, Anypoint Exchange, API
Notebooks
An API with multiple API implementations (Mule applications) is deployed to both CloudHub and customer-hosted Mule runtimes. All the deployments are managed by the MuleSoft-hosted control plane. An alert needs to be triggered whenever an API implementation stops responding to API requests, even if no API clients have called the API implementation for some time. What is the most effective out-of-the-box solution to create these alerts to monitor the API implementations?
A. Create monitors in Anypoint Functional Monitoring for the API implementations, where each monitor repeatedly invokes an API implementation endpoint
B. Add code to each API client to send an Anypoint Platform REST API request to generate a custom alert in Anypoint Platform when an API invocation times out
C. Handle API invocation exceptions within the calling API client and raise an alert from that API client when such an exception is thrown
D. Configure one Worker Not Responding alert.in Anypoint Runtime Manager for all API implementations that will then monitor every API implementation
Explanation:
In scenarios where multiple API implementations are deployed across
different environments (CloudHub and customer-hosted runtimes), Anypoint Functional
Monitoring is the most effective tool to monitor API availability and trigger alerts when an
API implementation becomes unresponsive. Here’s how it works:
An organization is implementing a Quote of the Day API that caches today's quote.
What scenario can use the GoudHub Object Store via the Object Store connector to persist
the cache's state?
A.
When there are three CloudHub deployments of the API implementation to three
separate CloudHub regions that must share the cache state
B.
When there are two CloudHub deployments of the API implementation by two Anypoint
Platform business groups to the same CloudHub region that must share the cache state
C.
When there is one deployment of the API implementation to CloudHub and anottV
deployment to a customer-hosted Mule runtime that must share the cache state
D.
When there is one CloudHub deployment of the API implementation to three CloudHub
workers that must share the cache state
When there is one CloudHub deployment of the API implementation to three CloudHub
workers that must share the cache state
Explanation: Explanation
Correct Answer: When there is one CloudHub deployment of the API implementation to
three CloudHub workers that must share the cache state.
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Key details in the scenario:
>> Use the CloudHub Object Store via the Object Store connector
Considering above details:
>> CloudHub Object Stores have one-to-one relationship with CloudHub Mule Applications.
>> We CANNOT use an application's CloudHub Object Store to be shared among multiple
Mule applications running in different Regions or Business Groups or Customer-hosted
Mule Runtimes by using Object Store connector.
>> If it is really necessary and very badly needed, then Anypoint Platform supports a way
by allowing access to CloudHub Object Store of another application using Object Store
REST API. But NOT using Object Store connector.
So, the only scenario where we can use the CloudHub Object Store via the Object Store
connector to persist the cache’s state is when there is one CloudHub deployment of the
API implementation to multiple CloudHub workers that must share the cache state
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
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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.
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