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Salesforce Certified MuleSoft Developer I Practice Test - Questions Answers, Page 10

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What best describes the Fully Qualified Domain Names (FQDNs), also known as DNS entries, created when a Mule application is deployed to the CloudHub Shared Worker Cloud?
Refer to the exhibit. A developer is building a client application to invoke an API deployed to the STAGING environment that is governed by a client ID enforcement policy. What is required to successfully invoke the API?
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?
The application network is recomposable: it is built for change because it 'bends but does not break'
A company wants to move its Mule API implementations into production as quickly as possible. To protect access to all Mule application data and metadata, the company requires that all Mule applications be deployed to the company's customer-hosted infrastructure within the corporate firewall. What combination of runtime plane and control plane options meets these project lifecycle goals?
An API implementation is deployed to CloudHub. What conditions can be alerted on using the default Anypoint Platform functionality, where the alert conditions depend on the end-to-end request processing of the API implementation?
The responses to some HTTP requests can be cached depending on the HTTP verb used in the request. According to the HTTP specification, for what HTTP verbs is this safe to do?
An organization wants to make sure only known partners can invoke the organization's APIs. To achieve this security goal, the organization wants to enforce a Client ID Enforcement policy in API Manager so that only registered partner applications can invoke the organization's APIs. In what type of API implementation does MuleSoft recommend adding an API proxy to enforce the Client ID Enforcement policy, rather than embedding the policy directly in the application's JVM?
A system API is deployed to a primary environment as well as to a disaster recovery (DR) environment, with different DNS names in each environment. A process API is a client to the system API and is being rate limited by the system API, with different limits in each of the environments. The system API's DR environment provides only 20% of the rate limiting offered by the primary environment. What is the best API fault-tolerant invocation strategy to reduce overall errors in the process API, given these conditions and constraints?
In which layer of API-led connectivity, does the business logic orchestration reside?

Question 91

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Refer to the exhibit.

A RAML definition has been proposed for a new Promotions Process API, and has been published to Anypoint Exchange.

The Marketing Department, who will be an important consumer of the Promotions API, has important requirements and expectations that must be met.

What is the most effective way to use Anypoint Platform features to involve the Marketing Department in this early API design phase?

A) Ask the Marketing Department to interact with a mocking implementation of the API using the automatically generated API Console

B) Organize a design workshop with the DBAs of the Marketing Department in which the database schema of the Marketing IT systems is translated into RAML

C) Use Anypoint Studio to Implement the API as a Mule application, then deploy that API implementation to CloudHub and ask the Marketing Department to interact with it

D) Export an integration test suite from API designer and have the Marketing Department execute the tests In that suite to ensure they pass

A.
Option A
A.
Option A
Answers
B.
Option B
B.
Option B
Answers
C.
Option C
C.
Option C
Answers
D.
Option D
D.
Option D
Answers
Suggested answer: A

Explanation:

Ask the Marketing Department to interact with a mocking implementationof the API using the automatically generated API Console.. As per MuleSoft's IT Operating Model:>>API consumers need NOT wait until the fullAPI implementation is ready.>>NO technical test-suites needs to be shared with end users to interact with APIs.>>Anypoint Platform offers a mocking capability on all the published API specifications to Anypoint Exchange which also will be rich in documentation covering all details of API functionalities and working nature.>>No needs of arranging days of workshops with end users for feedback.API consumers can use Anypoint Exchange features on the platform and interact with the API using its mocking feature. The feedback can be shared quickly on the same to incorporate any changes.

Question 92

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True or False. We should always make sure that the APIs being designed and developed are self-servable even if it needs more man-day effort and resources.

A.
FALSE
A.
FALSE
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B.
TRUE
B.
TRUE
Answers
Suggested answer: B

Explanation:

TRUE. >> As per MuleSoft proposed IT Operating Model, designing APIs and making sure that they are discoverable and self-servable is VERY VERY IMPORTANT and decides the success of an API and its application network.


Question 93

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A REST API is being designed to implement a Mule application.

What standard interface definition language can be used to define REST APIs?

A.
Web Service Definition Language(WSDL)
A.
Web Service Definition Language(WSDL)
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B.
OpenAPI Specification (OAS)
B.
OpenAPI Specification (OAS)
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C.
YAML
C.
YAML
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D.
AsyncAPI Specification
D.
AsyncAPI Specification
Answers
Suggested answer: B

Question 94

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A retail company is using an Order API to accept new orders. The Order API uses a JMS queue to submit orders to a backend order management service. The normal load for orders is being handled using two (2) CloudHub workers, each configured with 0.2 vCore. The CPU load of each CloudHub worker normally runs well below 70%. However, several times during the year the Order API gets four times (4x) the average number of orders. This causes the CloudHub worker CPU load to exceed 90% and the order submission time to exceed 30 seconds. The cause, however, is NOT the backend order management service, which still responds fast enough to meet the response SLA for the Order API. What is the MOST resource-efficient way to configure the Mule application's CloudHub deployment to help the company cope with this performance challenge?

A.
Permanently increase the size of each of the two (2) CloudHub workers by at least four times (4x) to one (1) vCore
A.
Permanently increase the size of each of the two (2) CloudHub workers by at least four times (4x) to one (1) vCore
Answers
B.
Use a vertical CloudHub autoscaling policy that triggers on CPU utilization greater than 70%
B.
Use a vertical CloudHub autoscaling policy that triggers on CPU utilization greater than 70%
Answers
C.
Permanently increase the number of CloudHub workers by four times (4x) to eight (8) CloudHub workers
C.
Permanently increase the number of CloudHub workers by four times (4x) to eight (8) CloudHub workers
Answers
D.
Use a horizontal CloudHub autoscaling policy that triggers on CPU utilization greater than 70%
D.
Use a horizontal CloudHub autoscaling policy that triggers on CPU utilization greater than 70%
Answers
Suggested answer: D

Explanation:

Use a horizontal CloudHub autoscaling policy that triggers on CPU utilization greater than 70%. The scenario in the question is very clearly stating that the usual traffic in the year is pretty well handled by the existing worker configuration with CPU running well below 70%. The problem occurs only 'sometimes' occasionally when there is spike in the number of orders coming in.So, based on above, We neither need to permanently increase the size of each worker nor need to permanently increase the number of workers. This is unnecessary as other than those 'occasional' times the resources are idle and wasted.We have two options left now. Either to use horizontal Cloudhub autoscaling policy to automatically increase the number of workers or to use vertical Cloudhub autoscaling policy to automatically increase the vCore size of each worker.Here, we need to take two things into consideration:1. CPU2. Order Submission Rate to JMS Queue>> From CPU perspective, both the options (horizontal and vertical scaling) solves the issue. Both helps to bring down the usage below 90%.>> However, If we go with Vertical Scaling, then from Order Submission Rate perspective, as the application is still being load balanced with two workers only, there may not be much improvement in the incoming request processing rate and order submission rate to JMS queue. The throughput would be same as before. Only CPU utilization comes down.>> But, if we go with Horizontal Scaling, it will spawn new workers and adds extra hand to increase the throughput as more workers are being load balanced now. This way we can address both CPU and Order Submission rate.Hence, Horizontal CloudHub Autoscaling policy is the right and best answer.

Question 95

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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
A.
When there are a large number of existing common assets shared by development teams
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B.
When various teams responsible for creating APIs are new to integration and hence need extensive training
B.
When various teams responsible for creating APIs are new to integration and hence need extensive training
Answers
C.
When development is already organized into several independent initiatives or groups
C.
When development is already organized into several independent initiatives or groups
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D.
When the majority of the applications in the application network are cloud based
D.
When the majority of the applications in the application network are cloud based
Answers
Suggested answer: C

Explanation:

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.

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