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The MCPA-Level-1 Certification Exam is a valuable credential for professionals who work with MuleSoft Anypoint Platform. It demonstrates their expertise in designing and building integration solutions using the platform's components and best practices. MuleSoft Certified Platform Architect - Level 1 certification is recognized by businesses across industries and can help professionals advance their careers in the field of integration and API management.
Firstly, strengthen your foundational knowledge about application networks. Go over on how to govern, deliver, and control access to API on the Anypoint Platform as well. The other tasks comprising the bulk of the exam are the following:
You will be manning the control access to APIs. Hence, you should be able to explain how to register an API client for access as well as how and when to pass client ID and secret to API.
This part involves your ability to deliver APIs in circumstances that would necessitate promotion of APIs with API manager or redeployment of API implementations. You must be skillful in using autodiscovery to link API implementation to API instances. Aside from that, know the automation capabilities of the Anypoint Platform and the integration tests.
Since MuleSoft is all about integrating software to connect applications, data, and devices, this concept is absolutely necessary. Build your background on the basics of deployments, networking, and routing on CloudHub. Learn how to choose CloudHub worker sizes and configurations and when to use Object Store.
Master the art of evaluating functional requirements and transforming these into business-aligned APIs. Know what situations require polling or callbacks, what specific changes need a major version increment, and when to propose the use of Enterprise Data Model or Bounded Context Data Models. For an optimistic concurrency, be familiar with idempotent HTTP methods and HTTP-native support as well as with reusable API-related assets.
Describe the features in scaling API performance, the contrast between CloudHub Shared and Dedicated Load Balancers, and lastly, the single points of failure in Cloudhub usage. Make sure to be knowledgeable with the varying strategies in helping API clients prevent failures in API invocations.
This portion reiterates the essence of strengthening your foothold. Have a strong grasp of the “modern API”, application networks, outcome-based delivery (OBD), and most especially the Anypoint Platform. Learn as much as you can about their roles, characteristics, benefits, terms, and capabilities.
Once again, knowledge of the APIs will help you get through this area as you will be assigning them to layers of API-led connectivity. You will be basing this assignment upon ownership, functional focus, and rate of change. Back up your recommendations when choosing the most suitable approach in the API data model of System APIs.
Acquaint yourself with API policies, policy enforcement, and proxies as you may be dealing with them more often in your future career. Understand which APIs and remote interfaces can be managed by the API manager.
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MuleSoft Certified Platform Architect - Level 1 Sample Questions (Q116-Q121):
NEW QUESTION # 116
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: B
Explanation:
Explanation/Reference: http://restcookbook.com/HTTP%20Methods/idempotency/
NEW QUESTION # 117
The Line of Business (LoB) of an eCommerce company is requesting a process that sends automated notifications via email every time a new order is processed through the customer's mobile application or through the internal company's web application. In the future, multiple notification channels may be added: for example, text messages and push notifications.
What is the most effective API-led connectivity approach for the scenario described above?
Answer: C
Explanation:
In this scenario, the best approach to satisfy the API-led connectivity principles and support future scalability is:
* Experience APIs:
* Create separate Experience APIs for the web application and the mobile application. This allows each application to have an optimized interface, supporting different needs and potential differences in request/response structures or security configurations.
* Process API:
* A single Process API can be used to orchestrate the workflow, including retrieving the email template from a database and preparing the email content. By centralizing this logic in the Process layer, we can ensure it is reusable and easily adaptable for different notification channels in the future.
* System API:
* A System API specifically designed for sending emails (using the Anypoint Connector for Email) abstracts the email-sending functionality from the business logic. This approach ensures that the email-sending function is reusable and scalable, and it can easily be extended or modified if other notification channels (like SMS or push notifications) are added later.
Why Option A is Correct:
* This structure aligns with API-led connectivity principles by separating concerns across Experience, Process, and System layers. It provides flexibility for future notification channels and isolates each layer's responsibility, making it easier to maintain and scale.
Explanation of Incorrect Options:
* Option B lacks a separate System API for sending emails, which goes against the principle of isolating back-end functionality in System APIs.
* Option C similarly lacks a dedicated System API, reducing flexibility and reusability.
* Option D suggests creating multiple Process APIs for database retrieval, which adds unnecessary complexity and does not adhere to the single-orchestration principle typically followed in API-led design.
ReferencesFor further guidance on API-led connectivity and the responsibilities of each API layer, refer to MuleSoft's documentation on API-led architecture and design best practices.
NEW QUESTION # 118
A company uses a hybrid Anypoint Platform deployment model that combines the EU control plane with customer-hosted Mule runtimes. After successfully testing a Mule API implementation in the Staging environment, the Mule API implementation is set with environment-specific properties and must be promoted to the Production environment. What is a way that MuleSoft recommends to configure the Mule API implementation and automate its promotion to the Production environment?
Answer: B
Explanation:
Correct answer: Bundle properties files for each environment into the Mule API implementation's deployable archive, then promote the Mule API implementation to the Production environment using Anypoint CLI or the Anypoint Platform REST APIs
*****************************************
>> Anypoint Exchange is for asset discovery and documentation. It has got no provision to modify the properties of Mule API implementations at all.
>> API Manager is for managing API instances, their contracts, policies and SLAs. It has also got no provision to modify the properties of API implementations.
>> API policies are to address Non-functional requirements of APIs and has again got no provision to modify the properties of API implementations.
So, the right way and recommended way to do this as part of development practice is to bundle properties files for each environment into the Mule API implementation and just point and refer to respective file per environment.
NEW QUESTION # 119
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
Answer: A
Explanation:
Correct answer: Ask the Marketing Department to interact with a mocking implementation of the API using the automatically generated API Console.
*****************************************
As per MuleSoft's IT Operating Model:
>> API consumers need NOT wait until the full API 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.
NEW QUESTION # 120
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 answer: 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 # 121
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