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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Managing APIs | 12% | - API policies and security enforcement - API lifecycle management - Rate limiting and throttling - Versioning and deprecation strategies |
| Topic 2: Monitoring and Analyzing Application Networks | 8% | - Analytics and insight generation - Monitoring strategies and tools - Logging and alerting configuration - Operational visibility and optimization |
| Topic 3: Establishing Organizational and Platform Foundations | 17% | - Center for Enablement (C4E) operating model - Anypoint Platform architecture and components - Governance and organizational structure - Platform strategy and roadmap definition |
| Topic 4: Explaining Application Network Basics | 11% | - Core concepts of application networks - Benefits of modern API design - API-led connectivity principles |
| Topic 5: Meeting API Quality Goals | 8% | - Reliability and availability targets - Performance and latency requirements - Security and compliance standards - Maintainability and testability |
| Topic 6: Architecting and Deploying API Implementations | 11% | - CI/CD and DevOps integration - Networking and security configuration - High availability and fault tolerance - Runtime architecture and deployment options |
| Topic 7: Applying Integration Patterns | 11% | - Scalability and performance patterns - Error handling and reliability patterns - Event-driven and synchronous integration - Common integration patterns and use cases |
| Topic 8: Designing and Sharing APIs | 11% | - API design standards and best practices - API layering: Experience, Process, System APIs - API specification and documentation - Asset sharing and reuse via Anypoint Exchange |
| Topic 9: Deploying API Implementations to CloudHub | 11% | - VPC and private space configuration - Deployment optimization and scaling - Worker sizing and resource planning - CloudHub architecture and capabilities |
>> Mule-Arch-201 Test Questions Pdf <<
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NEW QUESTION # 140
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?
Answer: B
Explanation:
Correct Answe r: The FQDNs are determined by the application name chosen, IRRESPECTIVE of the region
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>> When deploying applications to Shared Worker Cloud, the FQDN are always determined by application name chosen.
>> It does NOT matter what region the app is being deployed to.
>> Although it is fact and true that the generated FQDN will have the region included in it (Ex: exp-salesorder-api.au-s1.cloudhub.io), it does NOT mean that the same name can be used when deploying to another CloudHub region.
>> Application name should be universally unique irrespective of Region and Organization and solely determines the FQDN for Shared Load Balancers.
NEW QUESTION # 141
Which scenario is suited for MUnit tests instead of integration tests?
Answer: C
Explanation:
MUnit is MuleSoft's testing framework for creating and running automated tests within Anypoint Studio. It is specifically designed for unit testing Mule applications and is best suited when testing doesn't require understanding the inner workings or implementation details of the components being tested.
Ideal Use Cases for MUnit:
MUnit is optimal when testing individual flows, functions, or components in isolation. This type of testing focuses on verifying the behavior of each unit without needing to understand the complete system.
Since unit tests do not require external integrations or dependencies to be live, mocking is commonly used in MUnit to simulate the behavior of external services and APIs.
Why Option B is Correct:
Option B aligns with the concept of unit testing, where the emphasis is on testing functionality rather than system integration. Integration tests, on the other hand, would require implementation knowledge and live endpoints, making them unsuitable for MUnit's scope.
of Incorrect Options:
Option A (read-only interactions) and Option C (no mocking) do not suit MUnit's typical testing environment as MUnit is designed with mocking capabilities to simulate dependencies.
Option D (SoapUI-based tests) suggests an external testing tool, while MUnit is specific to MuleSoft.
Reference
For more on MUnit best practices, refer to MuleSoft's MUnit documentation.
NEW QUESTION # 142
What is most likely NOT a characteristic of an integration test for a REST API implementation?
Answer: D
Explanation:
Correct Answe r: The test runs immediately after the Mule application has been compiled and packaged
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>> 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.
NEW QUESTION # 143
A retail company with thousands of stores has an API to receive data about purchases and insert it into a single database. Each individual store sends a batch of purchase data to the API about every 30 minutes. The API implementation uses a database bulk insert command to submit all the purchase data to a database using a custom JDBC driver provided by a data analytics solution provider. The API implementation is deployed to a single CloudHub worker. The JDBC driver processes the data into a set of several temporary disk files on the CloudHub worker, and then the data is sent to an analytics engine using a proprietary protocol. This process usually takes less than a few minutes. Sometimes a request fails. In this case, the logs show a message from the JDBC driver indicating an out-of-file-space message. When the request is resubmitted, it is successful. What is the best way to try to resolve this throughput issue?
Answer: D
Explanation:
Correct Answe r: Increase the size of the CloudHub worker(s)
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The key details that we can take out from the given scenario are:
>> API implementation uses a database bulk insert command to submit all the purchase data to a database
>> JDBC driver processes the data into a set of several temporary disk files on the CloudHub worker
>> Sometimes a request fails and the logs show a message indicating an out-of-file-space message Based on above details:
>> Both auto-scaling options does NOT help because we cannot set auto-scaling rules based on error messages. Auto-scaling rules are kicked-off based on CPU/Memory usages and not due to some given error or disk space issues.
>> Increasing the number of CloudHub workers also does NOT help here because the reason for the failure is not due to performance aspects w.r.t CPU or Memory. It is due to disk-space.
>> Moreover, the API is doing bulk insert to submit the received batch data. Which means, all data is handled by ONE worker only at a time. So, the disk space issue should be tackled on "per worker" basis. Having multiple workers does not help as the batch may still fail on any worker when disk is out of space on that particular worker.
Therefore, the right way to deal this issue and resolve this is to increase the vCore size of the worker so that a new worker with more disk space will be provisioned.
NEW QUESTION # 144
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?
Answer: D
Explanation:
Correct Answe r: 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.
NEW QUESTION # 145
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