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| Section | Objectives |
|---|---|
| Security and Compliance | - Authentication and authorization mechanisms - Secure API exposure and threat protection |
| Integration Architecture Strategy | - API-led connectivity principles - System, process, and experience APIs - Designing enterprise integration architecture |
| Performance and Scalability | - Scaling Mule applications - High availability design patterns |
| Data Integration and Transformation | - Batch vs real-time integration patterns - Data mapping and transformation strategies |
| Anypoint Platform Architecture | - Runtime Fabric architecture overview - Deployment models (CloudHub, hybrid, on-premises) - Anypoint Platform components and capabilities |
| API Management and Governance | - Governance frameworks and best practices - API lifecycle management - API security policies and enforcement |
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NEW QUESTION # 140
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)
*****************************************
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 # 141
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?
Answer: A
Explanation:
Correct Answe r: GET, OPTIONS, HEAD
http://restcookbook.com/HTTP%20Methods/idempotency/
NEW QUESTION # 142
An online store's marketing team has noticed an increase in customers leaving online baskets without checking out. They suspect a technology issue is at the root cause of the baskets being left behind. They approach the Center for Enablement to ask for help identifying the issue. Multiple APIs from across all the layers of their application network are involved in the shopping application.
Which feature of the Anypoint Platform can be used to view metrics from all involved APIs at the same time?
Answer: B
Explanation:
Understanding the Need for Cross-API Monitoring:
The Center for Enablement (C4E) needs to investigate potential technical issues across multiple APIs in the application network that may be causing customers to abandon their carts.
This requires a solution that allows viewing metrics across several APIs in real-time to identify any performance issues or bottlenecks.
Evaluating Anypoint Platform Features:
Built-in Dashboards: Anypoint Platform provides built-in dashboards in Anypoint Monitoring, allowing teams to view metrics from multiple APIs in a single interface. This feature is designed to monitor API performance, latency, errors, and throughput, and is ideal for tracking performance across all layers of the application network.
Custom Dashboards: While custom dashboards allow for more tailored views, the built-in dashboards already aggregate metrics for multiple APIs, making it unnecessary to build a custom solution for this scenario.
Functional Monitoring: This feature is used to set up tests to monitor specific API functionality and uptime but is not suited for tracking metrics across multiple APIs in real-time.
API Manager: API Manager primarily focuses on managing API policies, contracts, and access control rather than providing detailed, real-time metrics across the entire application network.
Conclusion:
Option B (Built-in dashboards) is the best choice because it provides a comprehensive view of metrics from all APIs involved, enabling the C4E team to quickly identify any issues that may be contributing to abandoned shopping carts.
Refer to MuleSoft's documentation on Anypoint Monitoring and built-in dashboards for more details on configuring and using these dashboards effectively.
NEW QUESTION # 143
A company stores financial transaction data in two legacy systems. For each legacy system, a separate, dedicated System API (SAPI) exposes data for that legacy system. A Process API (PAPI) merges the data retrieved from ail of the System APIs into a common format. Several API clients call the PAPI through its public domain name.
The company now wants to expose a subset of financial data to a newly developed mobile application that uses a different Bounded Context Data Model. The company wants to follow MuleSoft's best practices for building out an effective application network.
Following MuleSoft's best practices, how can the company expose financial data needed by the mobile application in a way that minimizes the impact on the currently running API clients, API implementations, and support asset reuse?
Answer: A
Explanation:
To achieve the goal of exposing financial data to a new mobile application while following MuleSoft's best practices, the company should follow an API-led connectivity approach. This approach ensures minimal disruption to existing clients, maximizes reusability, and respects the separation of concerns across API layers.
of Solution:
Experience APIs for Client-Specific Requirements:
Create two new Experience APIs (EAPI-1 and EAPI-2) for the mobile application, tailored to meet the specific data and format requirements of the mobile application. These APIs encapsulate the client-specific needs and provide a custom interface without impacting other clients.
Process API Layer for Data Transformation:
By adding Mobile PAPI-2, we allow the mobile application to access the required subset of data, formatted according to the mobile application's requirements. This approach ensures that data transformation and aggregation are handled in the Process layer, maintaining consistency and reusability across different applications.
Reuse of System APIs:
Both the new Mobile PAPI-2 and existing PAPI-1 access data from System APIs (SAPI-1 and SAPI-2), which continue to expose data from each legacy system in a consistent, reusable manner. This avoids duplicating logic and ensures that data access remains centralized and manageable.
Why Option A is Correct:
Option A aligns with MuleSoft's best practices by isolating client-specific requirements in the Experience layer, utilizing Process APIs for data orchestration and transformation, and maintaining reusable System APIs for backend access.
This approach also ensures that the current API clients are not impacted, as new clients (e.g., the mobile app) interact with newly defined Experience APIs without modifying the existing API setup.
of Incorrect Options:
Option B: This option seems similar but lacks clarity on the separation of mobile-specific requirements and does not explicitly mention data transformation, which is essential in this scenario.
Option C: Creating a single mobile Experience API that exposes a subset of PAPI endpoints directly adds unnecessary complexity and may violate the separation of concerns, as transformation logic should not be in the Experience layer.
Option D: Deploying a new PAPI and using an API Proxy to redirect existing endpoints would add unnecessary complexity, disrupt the current API clients, and increase maintenance efforts.
Reference
For additional guidance, refer to MuleSoft documentation on API-led connectivity best practices and best practices for structuring Experience, Process, and System APIs.
NEW QUESTION # 144
An existing Quoting API is defined in RAML and used by REST clients for interacting with the quoting engine. Currently there is a resource defined in the RAML that allows the creation of quotes; however, a new requirement was just received to allow for the updating of existing quotes.
Which two actions need to be taken to facilitate this change so it can be processed?
Choose 2 answers
Answer: C,E
Explanation:
To accommodate the new requirement of allowing updates to existing quotes, the following actions should be taken:
Update the RAML Definition (Option C):
The RAML specification defines the structure and behavior of the API. Adding a new method (such as PUT or PATCH) for updating quotes requires modifying the RAML to include this new endpoint. This ensures the API specification is up-to-date and accurately reflects the new functionality.
Update the API Implementation (Option A):
Once the RAML is updated, the backend API implementation must also be modified to handle the new update requests. This could involve adding logic to process and validate update requests, connect to necessary backend resources, and apply the changes to existing quotes.
of Incorrect Options:
Option B (removing and creating new clients) is unnecessary; client applications can remain as they are, with no need for complete replacement.
Option D (deprecating existing versions) may not be required if backward compatibility is maintained.
Option E (adding a new policy) does not facilitate functional changes and is unrelated to implementing the update feature.
Reference
For more details on updating RAML definitions and API implementations, refer to MuleSoft's API Design documentation on RAML and RESTful API practices.
NEW QUESTION # 145
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