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| Section | Weight | Objectives |
|---|---|---|
| Implement Performant and Reliable Mule Applications | 27% | - Validate messages and payloads - Optimize performance and throughput - Use ObjectStore for persistence - Handle HTTP API invocations and errors - Implement reliable messaging patterns |
| Implement Maintainable and Modular Mule Applications and Maven Builds | 25% | - Execute tests with Maven - Modularize applications and builds - Build custom policies and processors - Create reusable libraries - Implement automated deployment |
| Design and Implement API-led Connectivity | 13% | - Implement API autodiscovery - Implement HTTP callbacks/webhooks - Implement server-side caching |
| Secure Data at Rest and in Transit | 20% | - Implement security policies - Manage secure environment properties - Expose and invoke APIs over HTTPS - Manage keys and certificates |
| Implement Monitorable Mule Applications | 15% | - Monitor applications and runtimes - Expose health check endpoints - Implement message correlation - Implement logging and log management |
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NEW QUESTION # 38
An API has been developed and deployed to CloudHub Among the policies applied to this API is an allowlist of IP addresses. A developer wants to run a test in Anypoint Studio and does not want any policies applied because their workstation is not included in the allowlist.
What must the developer do in order to run this test locally without the policies applied?
Answer: D
Explanation:
To run a test locally without the policies applied, the developer should create a properties file specifically for local development and set the API instance ID to a value that is not used in API Manager. This way, the developer can use different configuration properties for different environments and avoid triggering API autodiscovery when running tests locally. API autodiscovery is a mechanism that associates an API implementation with its corresponding API specification and policies in API Manager based on its API instance ID. By setting this ID to a value that does not exist in API Manager, the developer can prevent API autodiscovery from finding and applying any policies to the local test. Reference: https://docs.mulesoft.com/api-manager/2.x/api-auto-discovery-new-concept#configuring-api-autodiscovery https://docs.mulesoft.com/mule-runtime/4.3/configuring-properties
NEW QUESTION # 39
A company deploys 10 public APIs to CloudHub. Each API has its individual health endpoint defined. The platform operation team wants to configure API Functional Monitoring to monitor the health of the APIs periodically while minimizing operational overhead and cost.
How should API Functional Monitoring be configured?
Answer: B
Explanation:
To configure API Functional Monitoring to monitor the health of 10 public APIs periodically while minimizing operational overhead and cost, the developer should use one public location with all 10 APIs in a single schedule. A public location is a worker that runs in a CloudHub shared environment, which is cheaper and easier to maintain than a private location. A single schedule allows running all 10 APIs tests at the same time and frequency, which reduces complexity and resource consumption. Reference: https://docs.mulesoft.com/functional-monitoring/fm-create-monitor#create-a-monitor
NEW QUESTION # 40
Refer to the exhibit.
What required changes can be made to give a partial successful response in case the United Airlines API returns with a timeout?
Answer: D
Explanation:
To give a partial successful response in case the United Airlines API returns with a timeout, the developer should add a Scatter-Gather component inside a Try scope, and set the payload to a default value 'Error' inside the error handler using the On Error Continue scope. A Scatter-Gather component allows sending multiple requests concurrently and aggregating the responses into an array. A Try scope allows handling errors that occur within it using an error handler. An On Error Continue scope allows continuing the flow execution after handling an error. Therefore, by using these components, the developer can send requests to both APIs in parallel, handle any timeout errors from United Airlines API, and return a partial response with a default value for that API. Reference: https://docs.mulesoft.com/mule-runtime/4.3/scatter-gather-concept https://docs.mulesoft.com/mule-runtime/4.3/try-scope-concept https://docs.mulesoft.com/mule-runtime/4.3/on-error-continue-concept
NEW QUESTION # 41
A healthcare portal needs to validate the token that it sends to a Mule API. The developer plans to implement a custom policy using the HTTP Policy Transform Extension to match the token received in the header from the heathcare portal.
Which files does the developer need to create in order to package the custom policy?
Answer: C
Explanation:
To package a custom policy using the HTTP Policy Transform Extension, the developer needs to create an XML template file and a YAML configuration file. The XML template file defines the policy logic using Mule components and placeholders for user-defined properties. The YAML configuration file defines the metadata of the policy, such as its name, description, category, parameters, and dependencies. Reference: https://docs.mulesoft.com/api-manager/2.x/http-policy-transform#packaging-the-policy
NEW QUESTION # 42
A Mule API receives a JSON payload and updates the target system with the payload. The developer uses JSON schemas to ensure the data is valid.
How can the data be validation before posting to the target system?
Answer: C
Explanation:
To validate the data before posting to the target system, the developer should add the JSON module dependency and add the validate-schema operation in the flow, configured to reference the schema. The JSON module provides a validate-schema operation that validates a JSON payload against a JSON schema and throws an error if the payload is invalid. Reference: https://docs.mulesoft.com/json-module/1.1/json-validate-schema
NEW QUESTION # 43
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