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| Section | Objectives |
|---|---|
| Topic 1: API Management and Governance | - Governance frameworks and best practices - API lifecycle management - API security policies and enforcement |
| Topic 2: Integration Architecture Strategy | - Designing enterprise integration architecture - API-led connectivity principles - System, process, and experience APIs |
| Topic 3: Anypoint Platform Architecture | - Runtime Fabric architecture overview - Anypoint Platform components and capabilities - Deployment models (CloudHub, hybrid, on-premises) |
| Topic 4: Data Integration and Transformation | - Data mapping and transformation strategies - Batch vs real-time integration patterns |
| Topic 5: Security and Compliance | - Authentication and authorization mechanisms - Secure API exposure and threat protection |
| Topic 6: Performance and Scalability | - Scaling Mule applications - High availability design patterns |
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NEW QUESTION # 128
A Mule 4 API has been deployed to CloudHub and a Basic Authentication - Simple policy has been applied to all API methods and resources. However, the API is still accessible by clients without using authentication.
How is this possible?
Answer: D
Explanation:
When a Basic Authentication policy is applied to an API on CloudHub but clients can still access the API without authentication, the likely cause is a missing Autodiscovery element. Here's how this affects API security:
Autodiscovery in MuleSoft:
The Autodiscovery element is essential for linking an API implementation deployed in CloudHub with its API instance defined in API Manager. This connection allows the policies applied in API Manager, such as Basic Authentication, to be enforced on the deployed API.
Why Option B is Correct:
Without Autodiscovery, the deployed application does not "know" about the policies configured in API Manager, resulting in unrestricted access. Adding Autodiscovery enables the API to enforce the policies correctly.
of Incorrect Options:
Option A (incorrect Exchange version) would not cause bypassing of security policies.
Option C (missing client applications) does not impact authentication policy enforcement.
Option D (worker restart) is irrelevant to policy enforcement.
Reference
Refer to MuleSoft documentation on Autodiscovery configuration and linking API Manager policies for additional information on setting up secure API policies.
NEW QUESTION # 129
What Mule application can have API policies applied by
Anypoint Platform to the endpoint exposed by that Mule application?
A) A Mule application that accepts requests over HTTP/1.x
B) A Mule application that accepts JSON requests over TCP but is NOT required to provide a response C) A Mute application that accepts JSON requests over WebSocket D) A Mule application that accepts gRPC requests over HTTP/2
Answer: D
Explanation:
Correct Answe r: Option A
*****************************************
>> Anypoint API Manager and API policies are applicable to all types of HTTP/1.x APIs.
>> They are not applicable to WebSocket APIs, HTTP/2 APIs and gRPC APIs
NEW QUESTION # 130
Traffic is routed through an API proxy to an API implementation. The API proxy is managed by API Manager and the API implementation is deployed to a CloudHub VPC using Runtime Manager. API policies have been applied to this API. In this deployment scenario, at what point are the API policies enforced on incoming API client requests?
Answer: C
Explanation:
Correct Answe r: At the API proxy
*****************************************
>> API Policies can be enforced at two places in Mule platform.
>> One - As an Embedded Policy enforcement in the same Mule Runtime where API implementation is running.
>> Two - On an API Proxy sitting in front of the Mule Runtime where API implementation is running.
>> As the deployment scenario in the question has API Proxy involved, the policies will be enforced at the API Proxy.
NEW QUESTION # 131
Refer to the exhibit.
What is a valid API in the sense of API-led connectivity and application networks?
A) Java RMI over TCP
B) Java RMI over TCP
C) CORBA over HOP
D) XML over UDP
Answer: C
Explanation:
Correct Answe r: XML over HTTP
*****************************************
>> API-led connectivity and Application Networks urge to have the APIs on HTTP based protocols for building most effective APIs and networks on top of them.
>> The HTTP based APIs allow the platform to apply various varities of policies to address many NFRs
>> The HTTP based APIs also allow to implement many standard and effective implementation patterns that adhere to HTTP based w3c rules.
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NEW QUESTION # 132
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: A
Explanation:
Correct Answe r: Increase the size of the CloudHub worker(s)
*****************************************
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 # 133
......
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