New (2025) Salesforce MuleSoft-Platform-Architect-I Exam Dumps
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NEW QUESTION # 13
An organization uses various cloud-based SaaS systems and multiple on-premises systems. The on-premises systems are an important part of the organization's application network and can only be accessed from within the organization's intranet.
What is the best way to configure and use Anypoint Platform to support integrations with both the cloud-based SaaS systems and on-premises systems?
A) Use CloudHub-deployed Mule runtimes in an Anypoint VPC managed by Anypoint Platform Private Cloud Edition control plane
B) Use CloudHub-deployed Mule runtimes in the shared worker cloud managed by the MuleSoft-hosted Anypoint Platform control plane
C) Use an on-premises installation of Mule runtimes that are completely isolated with NO external network access, managed by the Anypoint Platform Private Cloud Edition control plane
D) Use a combination of Cloud Hub-deployed and manually provisioned on-premises Mule runtimes managed by the MuleSoft-hosted Anypoint Platform control plane
- A. Option D
- B. Option B
- C. Option C
- D. Option A
Answer: B
Explanation:
Correct Answer : Use a combination of CloudHub-deployed and manually provisioned on-premises Mule runtimes managed by the MuleSoft-hosted Platform control plane.
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Key details to be taken from the given scenario:
>> Organization uses BOTH cloud-based and on-premises systems
>> On-premises systems can only be accessed from within the organization's intranet Let us evaluate the given choices based on above key details:
>> CloudHub-deployed Mule runtimes can ONLY be controlled using MuleSoft-hosted control plane. We CANNOT use Private Cloud Edition's control plane to control CloudHub Mule Runtimes. So, option suggesting this is INVALID
>> Using CloudHub-deployed Mule runtimes in the shared worker cloud managed by the MuleSoft-hosted Anypoint Platform is completely IRRELEVANT to given scenario and silly choice. So, option suggesting this is INVALID
>> Using an on-premises installation of Mule runtimes that are completely isolated with NO external network access, managed by the Anypoint Platform Private Cloud Edition control plane would work for On-premises integrations. However, with NO external access, integrations cannot be done to SaaS-based apps. Moreover CloudHub-hosted apps are best-fit for integrating with SaaS-based applications. So, option suggesting this is BEST WAY.
The best way to configure and use Anypoint Platform to support these mixed/hybrid integrations is to use a combination of CloudHub-deployed and manually provisioned on-premises Mule runtimes managed by the MuleSoft-hosted Platform control plane.
NEW QUESTION # 14
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?
- A. Use an API policy to change properties in the Mule API implementation deployed to the Staging environment and another API policy to deploy the Mule API implementation to the Production environment
- B. Modify the Mule API implementation's properties in the API Manager Properties tab, then promote the Mule API implementation to the Production environment using API Manager
- C. 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 APIsB.
- D. Modify the Mule API implementation's properties in Anypoint Exchange, then promote the Mule API implementation to the Production environment using Runtime Manager
Answer: C
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
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>> 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 # 15
Refer to the exhibits.
Which architectural constraint is compatible with the API-led connectivity architectural style?
- A. Always use a tiered approach by creating exactly one API for each of the three layers (Experience, Process, and System)
- B. Handle customizations for the end-user application at the Process layer rather than at the Experience layer
- C. Allow System APIs to return data that is not currently required by the identified Process or Experience APIs
- D. Use a Process API to-orchestrate calls to multiple System APIs but not to other Process APIs:
Answer: D
Explanation:
Understanding API-led Connectivity Layers:
In MuleSoft's API-led connectivity approach, APIs are categorized into three layers:
Experience Layer: This layer is responsible for providing data to the end-user applications and is often customized to meet the needs of different user interfaces.
Process Layer: This layer is used to orchestrate and combine data from multiple System APIs. It acts as a mediator and business logic layer without directly interacting with the backend systems.
System Layer: This layer provides direct access to the backend systems (e.g., databases, ERPs) and is usually focused on exposing atomic data operations.
Evaluating the Architectural Constraints:
Option A: Always using a strict tiered approach by creating exactly one API per layer is not necessarily an architectural constraint of API-led connectivity. While a layered approach is recommended, it is common to have multiple APIs in each layer as needed for different functionalities.
Option B (Correct Answer): In API-led connectivity, Process APIs are generally responsible for orchestrating calls to System APIs and should not call other Process APIs. This maintains a clear separation of concerns, ensuring that Process APIs aggregate data from System APIs only and provide it to Experience APIs.
Option C: System APIs are generally designed to provide only the necessary data to meet current business requirements. Allowing them to return extra data that is not needed by Process or Experience APIs is not a best practice, as it can lead to inefficiencies.
Option D: Customizations specific to end-user applications are typically handled at the Experience Layer rather than the Process Layer, as the Experience Layer is intended to tailor the data to fit the needs of each specific client or front-end application.
Conclusion:
Option B is the correct answer as it aligns with the API-led connectivity principles. In this architectural style, Process APIs should orchestrate System APIs but should avoid interacting with other Process APIs to keep a clear separation of responsibilities across the layers.
For additional details, refer to MuleSoft documentation on API-led connectivity best practices, particularly around the roles of each layer in API orchestration and data handling.
NEW QUESTION # 16
What API policy would LEAST likely be applied to a Process API?
- A. Client ID enforcement
- B. Custom circuit breaker
- C. Rate limiting
- D. JSON threat protection
Answer: D
Explanation:
Correct Answer : JSON threat protection
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Fact: Technically, there are no restrictions on what policy can be applied in what layer. Any policy can be applied on any layer API. However, context should also be considered properly before blindly applying the policies on APIs.
That is why, this question asked for a policy that would LEAST likely be applied to a Process API.
From the given options:
>> All policies except "JSON threat protection" can be applied without hesitation to the APIs in Process tier.
>> JSON threat protection policy ideally fits for experience APIs to prevent suspicious JSON payload coming from external API clients. This covers more of a security aspect by trying to avoid possibly malicious and harmful JSON payloads from external clients calling experience APIs.
As external API clients are NEVER allowed to call Process APIs directly and also these kind of malicious and harmful JSON payloads are always stopped at experience API layer only using this policy, it is LEAST LIKELY that this same policy is again applied on Process Layer API.
NEW QUESTION # 17
A company deployed an API to a single worker/replica in the shared cloud in the U.S. West Region.
What happens when the Availability Zone experiences an outage?
- A. The Anypoint Platform admin is alerted when the AP] is experiencing an outage and needs the trigger the CI/CD pipeline to redeploy to the US. East Region
- B. The APT will be unavailable until the availability comes back online, at which time the worker/replica will be auto-restarted
- C. CloudHub will auto-redeploy the API in another Availability Zone in the U.S. West Region
- D. CloudHub will auto-redeploy the APL in the U.S. East Region
Answer: B
Explanation:
In a CloudHub deployment with a single worker/replica located in a specific Availability Zone (AZ), if an AZ experiences an outage, here's what happens:
Worker Availability: Since the application is deployed in a single AZ, CloudHub does not automatically redeploy the application in a different zone or region during an outage. Thus, if the current AZ is unavailable, the application will be offline.
Auto-Restart upon AZ Recovery: Once the affected AZ is back online, CloudHub will auto-restart the worker in the same AZ without manual intervention. This ensures that as soon as the AZ is functional, the application resumes automatically.
of Correct Answer (B):
Option B accurately describes the situation, as the API will remain unavailable until the original AZ is restored.
CloudHub does not currently support automatic failover across regions or other availability zones within the same region for single-worker deployments on the shared cloud.
of Incorrect Options:
Option A (auto-redeployment in the U.S. East region) is incorrect, as CloudHub does not migrate across regions automatically.
Option C (redeployment in another AZ within the U.S. West) is not a feature for single-worker deployments.
Option D (manual redeployment triggered by an admin) is unnecessary as CloudHub handles restarts automatically when the AZ is back online.
Reference
Refer to MuleSoft CloudHub's availability and disaster recovery documentation for more information on how CloudHub manages availability in shared environments.
NEW QUESTION # 18
What Anypoint Connectors support transactions?
- A. Database, 3MS, HTTP
- B. Database, JMS, VM, SFTP
- C. Database, VM, File
- D. Database, JMS, VM
Answer: D
NEW QUESTION # 19
An organization has created an API-led architecture that uses various API layers to integrate mobile clients with a backend system. The backend system consists of a number of specialized components and can be accessed via a REST API. The process and experience APIs share the same bounded-context model that is different from the backend data model. What additional canonical models, bounded-context models, or anti-corruption layers are best added to this architecture to help process data consumed from the backend system?
- A. Create a bounded-context model for every layer and overlap them when the boundary contexts overlap, letting API developers know about the differences between upstream and downstream data models
- B. Create a bounded-context model for the system layer to closely match the backend data model, and add an anti-corruption layer to let the different bounded contexts cooperate across the system and process layers
- C. Create a canonical model that combines the backend and API-led models to simplify and unify data models, and minimize data transformations.
- D. Create an anti-corruption layer for every API to perform transformation for every data model to match each other, and let data simply travel between APIs to avoid the complexity and overhead of building canonical models
Answer: B
Explanation:
Correct Answer : Create a bounded-context model for the system layer to closely match the backend data model, and add an anti-corruption layer to let the different bounded contexts cooperate across the system and process layers
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>> Canonical models are not an option here as the organization has already put in efforts and created bounded-context models for Experience and Process APIs.
>> Anti-corruption layers for ALL APIs is unnecessary and invalid because it is mentioned that experience and process APIs share same bounded-context model. It is just the System layer APIs that need to choose their approach now.
>> So, having an anti-corruption layer just between the process and system layers will work well. Also to speed up the approach, system APIs can mimic the backend system data model.
NEW QUESTION # 20
An organization makes a strategic decision to move towards an IT operating model that emphasizes consumption of reusable IT assets using modern APIs (as defined by MuleSoft).
What best describes each modern API in relation to this new IT operating model?
- A. Each modem API must be treated like a product and designed for a particular target audience (for instance, mobile app developers)
- B. Each modern API has its own software development lifecycle, which reduces the need for documentation and automation
- C. Each modern API must be REST and HTTP based
- D. Each modern API must be easy to consume, so should avoid complex authentication mechanisms such as SAML or JWT D
Answer: A
Explanation:
Correct Answers:
1. Each modern API must be treated like a product and designed for a particular target audience (for instance mobile app developers)
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NEW QUESTION # 21
A Mule application implements an API. The Mule application has an HTTP Listener whose connector configuration sets the HTTPS protocol and hard-codes the port value. The Mule application is deployed to an Anypoint VPC and uses the CloudHub 1.0 Shared Load Balancer (SLB) for all incoming traffic.
Which port number must be assigned to the HTTP Listener's connector configuration so that the Mule application properly receives HTTPS API invocations routed through the SLB?
- A. 0
- B. 1
- C. 2
- D. 3
Answer: D
Explanation:
When using CloudHub 1.0's Shared Load Balancer (SLB) for a Mule application configured with HTTPS in an Anypoint VPC, specific ports must be configured for the application to correctly route incoming traffic:
Port Requirement for SLB:
The CloudHub Shared Load Balancer for HTTPS traffic requires that applications listen on port 8092 for secure (HTTPS) communication. This port is reserved specifically for SSL traffic when using SLB with Anypoint VPCs.
Why Option B is Correct:
Setting the HTTP Listener's connector configuration to 8092 aligns with CloudHub requirements for HTTPS via the Shared Load Balancer.
of Incorrect Options:
Option A (8082) is used for non-HTTPS (HTTP) traffic.
Option C (80) and Option D (443) are standard web ports but are not applicable within CloudHub SLB's internal configuration for VPC routing.
Reference
For more information on the Shared Load Balancer port configurations, refer to MuleSoft's documentation on CloudHub and VPC load balancer requirements.
NEW QUESTION # 22
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
- A. Option B
- B. Option D
- C. Option C
- D. Option A
Answer: B
Explanation:
Correct Answe r: XML over HTTP
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>> 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 # 23
What is true about where an API policy is defined in Anypoint Platform and how it is then applied to API instances?
- A. The API policy is defined in API Manager, and then applied to ALL API instances in the specified environment
- B. The API policy Is defined in API Manager and then automatically applied to ALL API instances
- C. The API policy Is defined In API Manager for a specific API Instance, and then ONLY applied to the specific API instance
- D. The API policy Is defined In Runtime Manager as part of the API deployment to a Mule runtime, and then ONLY applied to the specific API Instance
Answer: C
Explanation:
Correct Answer : The API policy is defined in API Manager for a specific API instance, and then ONLY applied to the specific API instance.
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>> Once our API specifications are ready and published to Exchange, we need to visit API Manager and register an API instance for each API.
>> API Manager is the place where management of API aspects takes place like addressing NFRs by enforcing policies on them.
>> We can create multiple instances for a same API and manage them differently for different purposes.
>> One instance can have a set of API policies applied and another instance of same API can have different set of policies applied for some other purpose.
>> These APIs and their instances are defined PER environment basis. So, one need to manage them seperately in each environment.
>> We can ensure that same configuration of API instances (SLAs, Policies etc..) gets promoted when promoting to higher environments using platform feature. But this is optional only. Still one can change them per environment basis if they have to.
>> Runtime Manager is the place to manage API Implementations and their Mule Runtimes but NOT APIs itself. Though API policies gets executed in Mule Runtimes, We CANNOT enforce API policies in Runtime Manager. We would need to do that via API Manager only for a cherry picked instance in an environment.
So, based on these facts, right statement in the given choices is - "The API policy is defined in API Manager for a specific API instance, and then ONLY applied to the specific API instance".
NEW QUESTION # 24
How can the application of a rate limiting API policy be accurately reflected in the RAML definition of an API?
- A. By refining the response definitions by adding the out-of-the-box Anypoint Platform rate-limit-enforcement securityScheme with description, type, and example
- B. By refining the response definitions by adding the x-ratelimit-* response headers with description, type, and example
- C. By refining the request definitions by adding a remaining Requests query parameter with description, type, and example
- D. By refining the resource definitions by adding a description of the rate limiting policy behavior
Answer: B
Explanation:
Correct Answer : By refining the response definitions by adding the x-ratelimit-* response headers with description, type, and example
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Reference:
https://docs.mulesoft.com/api-manager/2.x/rate-limiting-and-throttling#response-headers
https://docs.mulesoft.com/api-manager/2.x/rate-limiting-and-throttling-sla-based-policies#response-headers
NEW QUESTION # 25
Refer to the exhibit. An organization needs to enable access to their customer data from both a mobile app and a web application, which each need access to common fields as well as certain unique fields.
The data is available partially in a database and partially in a 3rd-party CRM system.
What APIs should be created to best fit these design requirements?
A) A Process API that contains the data required by both the web and mobile apps, allowing these applications to invoke it directly and access the data they need thereby providing the flexibility to add more fields in the future without needing API changes
B) One set of APIs (Experience API, Process API, and System API) for the web app, and another set for the mobile app
C) Separate Experience APIs for the mobile and web app, but a common Process API that invokes separate System APIs created for the database and CRM system
D) A common Experience API used by both the web and mobile apps, but separate Process APIs for the web and mobile apps that interact with the database and the CRM System
- A. Option B
- B. Option D
- C. Option C
- D. Option A
Answer: C
Explanation:
Correct Answer : Separate Experience APIs for the mobile and web app, but a common Process API that invokes separate System APIs created for the database and CRM system
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As per MuleSoft's API-led connectivity:
>> Experience APIs should be built as per each consumer needs and their experience.
>> Process APIs should contain all the orchestration logic to achieve the business functionality.
>> System APIs should be built for each backend system to unlock their data.
Reference:
NEW QUESTION # 26
An organization wants MuleSoft-hosted runtime plane features (such as HTTP load balancing, zero downtime, and horizontal and vertical scaling) in its Azure environment. What runtime plane minimizes the organization's effort to achieve these features?
- A. Anypoint Runtime Fabric
- B. A hybrid combination of customer-hosted and MuleSoft-hosted Mule runtimes
- C. Anypoint Platform for Pivotal Cloud Foundry
- D. CloudHub
Answer: A
Explanation:
Correct Answer : Anypoint Runtime Fabric
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>> When a customer is already having an Azure environment, It is not at all an ideal approach to go with hybrid model having some Mule Runtimes hosted on Azure and some on MuleSoft. This is unnecessary and useless.
>> CloudHub is a Mulesoft-hosted Runtime plane and is on AWS. We cannot customize to point CloudHub to customer's Azure environment.
>> Anypoint Platform for Pivotal Cloud Foundry is specifically for infrastructure provided by Pivotal Cloud Foundry
>> Anypoint Runtime Fabric is right answer as it is a container service that automates the deployment and orchestration of Mule applications and API gateways. Runtime Fabric runs within a customer-managed infrastructure on AWS, Azure, virtual machines (VMs), and bare-metal servers.
-Some of the capabilities of Anypoint Runtime Fabric include:
-Isolation between applications by running a separate Mule runtime per application.
-Ability to run multiple versions of Mule runtime on the same set of resources.
-Scaling applications across multiple replicas.
-Automated application fail-over.
-Application management with Anypoint Runtime Manager.
NEW QUESTION # 27
A Platform Architect inherits a legacy monolithic SOAP-based web service that performs a number of tasks, including showing all policies belonging to a client. The service connects to two back-end systems - a life-insurance administration system and a general-insurance administration system - and then queries for insurance policy information within each system, aggregates the results, and presents a SOAP-based response to a user interface (UI).
The architect wants to break up the monolithic web service to follow API-led conventions.
Which part of the service should be put into the process layer?
- A. Authenticating and maintaining connections to each of the back-end administration systems
- B. Combining the insurance policy information from the administration systems
- C. Querying the data from the administration systems
- D. Presenting the SOAP-based response to the UI
Answer: B
NEW QUESTION # 28
An organization wants to create a Center for Enablement (C4E). The IT director schedules a series of meetings with IT senior managers.
What should be on the agenda of the first meeting?
- A. Specify operating model for the MuleSoft Integrations division
- B. Explore API monetization options based on identified use cases through MuleSoft
- C. Define C4E objectives, mission statement, guiding principles, a
- D. A walk through of common-services best practices for logging, auditing, exception handling, caching, security via policy, and rate limiting/throttling via policy
Answer: C
Explanation:
In the initial meeting for establishing a Center for Enablement (C4E), it's essential to lay the foundational vision, objectives, and guiding principles for the team. Here's why this is crucial:
Clear Vision and Mission:
Defining the mission statement and objectives at the start ensures alignment within the organization and clarifies the C4E's role in supporting API-led development and integration practices.
Guiding Principles:
Establishing guiding principles will help the C4E maintain consistent practices and strategies across projects. This serves as a framework for decisions and fosters shared understanding among IT leaders and stakeholders.
of Correct Answer (A):
By prioritizing the C4E's objectives and mission, the organization builds a solid foundation, paving the way for subsequent meetings focused on technical standards, processes, and operating models.
of Incorrect Options:
Option B (API monetization) and Option C (common services best practices) are specific topics better suited for later discussions.
Option D (specifying the operating model) is an important step but typically follows the establishment of the C4E's objectives and vision.
Reference
For more on C4E objectives and foundational setup, refer to MuleSoft's documentation on establishing a C4E and the roles and mission statements recommended for such initiatives.
NEW QUESTION # 29
A new upstream API Is being designed to offer an SLA of 500 ms median and 800 ms maximum (99th percentile) response time. The corresponding API implementation needs to sequentially invoke 3 downstream APIs of very similar complexity.
The first of these downstream APIs offers the following SLA for its response time: median: 100 ms, 80th percentile: 500 ms, 95th percentile: 1000 ms.
If possible, how can a timeout be set in the upstream API for the invocation of the first downstream API to meet the new upstream API's desired SLA?
- A. No timeout is possible to meet the upstream API's desired SLA; a different SLA must be negotiated with the first downstream API or invoke an alternative API
- B. Set a timeout of 100 ms; that leaves 400 ms for the other two downstream APIs to complete
- C. Set a timeout of 50 ms; this times out more invocations of that API but gives additional room for retries
- D. Do not set a timeout; the Invocation of this API Is mandatory and so we must wait until it responds
Answer: B
Explanation:
Correct Answer : Set a timeout of 100ms; that leaves 400ms for other two downstream APIs to complete
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Key details to take from the given scenario:
>> Upstream API's designed SLA is 500ms (median). Lets ignore maximum SLA response times.
>> This API calls 3 downstream APIs sequentially and all these are of similar complexity.
>> The first downstream API is offering median SLA of 100ms, 80th percentile: 500ms; 95th percentile: 1000ms.
Based on the above details:
>> We can rule out the option which is suggesting to set 50ms timeout. Because, if the median SLA itself being offered is 100ms then most of the calls are going to timeout and time gets wasted in retried them and eventually gets exhausted with all retries. Even if some retries gets successful, the remaining time wont leave enough room for 2nd and 3rd downstream APIs to respond within time.
>> The option suggesting to NOT set a timeout as the invocation of this API is mandatory and so we must wait until it responds is silly. As not setting time out would go against the good implementation pattern and moreover if the first API is not responding within its offered median SLA 100ms then most probably it would either respond in 500ms (80th percentile) or 1000ms (95th percentile). In BOTH cases, getting a successful response from 1st downstream API does NO GOOD because already by this time the Upstream API SLA of 500 ms is breached. There is no time left to call 2nd and 3rd downstream APIs.
>> It is NOT true that no timeout is possible to meet the upstream APIs desired SLA.
As 1st downstream API is offering its median SLA of 100ms, it means MOST of the time we would get the responses within that time. So, setting a timeout of 100ms would be ideal for MOST calls as it leaves enough room of 400ms for remaining 2 downstream API calls.
NEW QUESTION # 30
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
- A. Option B
- B. Option A
- C. Option D
- D. Option C
Answer: B
Explanation:
Correct Answe r: Option A
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>> 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 # 31
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?
- A. API Manager
- B. Custom dashboards
- C. Functional monitoring
- D. Built-in dashboards
Answer: D
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 # 32
An organization has implemented a Customer Address API to retrieve customer address information. This API has been deployed to multiple environments and has been configured to enforce client IDs everywhere.
A developer is writing a client application to allow a user to update their address. The developer has found the Customer Address API in Anypoint Exchange and wants to use it in their client application.
What step of gaining access to the API can be performed automatically by Anypoint Platform?
- A. Modify the client application to call the API using the client application's credentials
- B. Request access to the appropriate API Instances deployed to multiple environments using the client application's credentials
- C. Create a new application in Anypoint Exchange for requesting access to the API
- D. Approve the client application request for the chosen SLA tier
Answer: D
Explanation:
Correct Answer : Approve the client application request for the chosen SLA tier
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>> Only approving the client application request for the chosen SLA tier can be automated
>> Rest of the provided options are not valid
NEW QUESTION # 33
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