Question # 1
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 |
B. Each modem API must be treated like a product and designed for a particular target audience (for instance, mobile app developers)
Question # 2
| 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 |
A. 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
Question # 3
| What is most likely NOT a characteristic of an integration test for a REST API
implementation? | | A. The test needs all source and/or target systems configured and accessible | | B. The test runs immediately after the Mule application has been compiled and packaged | | C. The test is triggered by an external HTTP request | | D. The test prepares a known request payload and validates the response payload |
B. The test runs immediately after the Mule application has been compiled and packaged
Explanation
Correct Answer: The test runs immediately after the Mule application has been compiled
and packaged
*****************************************
>> Integration tests are the last layer of tests we need to add to be fully covered.
>> These tests actually run against Mule running with your full configuration in place and
are tested from external source as they work in PROD.
>> These tests exercise the application as a whole with actual transports enabled. So,
external systems are affected when these tests run.
So, these tests do NOT run immediately after the Mule application has been compiled and
packaged.
FYI... Unit Tests are the one that run immediately after the Mule application has been
compiled and packaged.
Reference:
https://docs.mulesoft.com/mule-runtime/3.9/testing-strategies#integrationtesting
Question # 4
| What is typically NOT a function of the APIs created within the framework called API-led
connectivity?
| | A. They provide an additional layer of resilience on top of the underlying backend system,
thereby insulating clients from extended failure of these systems. | | B. They allow for innovation at the user Interface level by consuming the underlying assets
without being aware of how data Is being extracted from backend systems. | | C. They reduce the dependency on the underlying backend systems by helping unlock data
from backend systems In a reusable and consumable way. | | D. They can compose data from various sources and combine them with orchestration
logic to create higher level value. |
A. They provide an additional layer of resilience on top of the underlying backend system,
thereby insulating clients from extended failure of these systems.
Explanation
Correct Answer: They provide an additional layer of resilience on top of the underlying
backend system, thereby insulating clients from extended failure of these systems.
*****************************************
In API-led connectivity,
>> Experience APIs - allow for innovation at the user interface level by consuming the
underlying assets without being aware of how data is being extracted from backend
systems.
>> Process APIs - compose data from various sources and combine them with
orchestration logic to create higher level value
>> System APIs - reduce the dependency on the underlying backend systems by helping
unlock data from backend systems in a reusable and consumable way.
However, they NEVER promise that they provide an additional layer of resilience on top of
the underlying backend system, thereby insulating clients from extended failure of these
systems.
https://dzone.com/articles/api-led-connectivity-with-mule
Question # 5
An established communications company is beginning its API-led connectivity journey, The company has been using a successful Enterprise Data Model for many years. The company has identified a self-service account management app as the first effort for API- led, and it has identified the following APIs.
Experience layer: Mobile Account Management EAPI, Browser Account Management EAPI Process layer: Customer Lookup PAPI, Service Lookup PAPI, Account Lookup PAPI System layer: Customer SAPI, Account SAPI, Product SAPI, Service SAPI
According to MuleSoft's API-led connectivity approach, which API would not be served by the Enterprise Data Model?
| | A. Customer SAPI | | B. Customer Lookup PAPI | | C. Mobile Account Management EAPI | | D. Service SAPI |
C. Mobile Account Management EAPI
Question # 6
| What is the most performant out-of-the-box solution in Anypoint Platform to track
transaction state in an asynchronously executing long-running process implemented as a
Mule application deployed to multiple CloudHub workers? | | A. Redis distributed cache | | B. java.util.WeakHashMap | | C. Persistent Object Store | | D. File-based storage |
C. Persistent Object Store
Explanation:
Correct Answer: Persistent Object Store
*****************************************
>> Redis distributed cache is performant but NOT out-of-the-box solution in Anypoint
Platform
>> File-storage is neither performant nor out-of-the-box solution in Anypoint Platform
>> java.util.WeakHashMap needs a completely custom implementation of cache from
scratch using Java code and is limited to the JVM where it is running. Which means the
state in the cache is not worker aware when running on multiple workers. This type of
cache is local to the worker. So, this is neither out-of-the-box nor worker-aware among
multiple workers on cloudhub. https://www.baeldung.com/java-weakhashmap
>> Persistent Object Store is an out-of-the-box solution provided by Anypoint Platform
which is performant as well as worker aware among multiple workers running on
CloudHub. https://docs.mulesoft.com/object-store/
So, Persistent Object Store is the right answer.
Question # 7
| An API implementation returns three X-RateLimit-* HTTP response headers to a requesting API client. What type of information do these response headers indicate to the API client? | | A. The error codes that result from throttling | | B. A correlation ID that should be sent in the next request | | C. The HTTP response size | | D. The remaining capacity allowed by the API implementation |
D. The remaining capacity allowed by the API implementation
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