Exam Questions Answers Braindumps MuleSoft-Platform-Architect-I Exam Dumps PDF Questions [Q61-Q84]

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Exam Questions Answers Braindumps MuleSoft-Platform-Architect-I Exam Dumps PDF Questions

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NO.61 An API with multiple API implementations (Mule applications) is deployed to both CloudHub and customer-hosted Mule runtimes. All the deployments are managed by the MuleSoft-hosted control plane. An alert needs to be triggered whenever an API implementation stops responding to API requests, even if no API clients have called the API implementation for some time.
What is the most effective out-of-the-box solution to create these alerts to monitor the API implementations?

Create monitors in Anypoint Functional Monitoring for the API implementations, where each monitor repeatedly invokes an API implementation endpoint

Add code to each API client to send an Anypoint Platform REST API request to generate a custom alert in Anypoint Platform when an API invocation times out

Handle API invocation exceptions within the calling API client and raise an alert from that API client when such an exception is thrown

Configure one Worker Not Responding alert.in Anypoint Runtime Manager for all API implementations that will then monitor every API implementation

NO.62 A Platinum customer uses the U.S. control plane and deploys applications to CloudHub in Singapore with a default log configuration.
The compliance officer asks where the logs and monitoring data reside?

Logs are held in:Singapore and monitoring data is held in the United States

Logs and monitoring data are held in the United States

Logs are held in the United States and monitoring data is held in Singapore

Logs and monitoring data are held in Singapore

NO.63 What API policy would LEAST likely be applied to a Process API?

Custom circuit breaker

Client ID enforcement

Rate limiting

JSON threat protection

NO.64 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?

CloudHub will auto-redeploy the APL in the U.S. East Region

The APT will be unavailable until the availability comes back online, at which time the worker/replica will be auto-restarted

CloudHub will auto-redeploy the API in another Availability Zone in the U.S. West Region

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

NO.65 Once an API Implementation is ready and the API is registered on API Manager, who should request the access to the API on Anypoint Exchange?

없음

Both

API Client

API Consumer

NO.66 An operations team is analyzing the effort needed to set up monitoring of their application network. They are looking at which API invocation metrics can be used to identify and predict trouble without having to write custom scripts or install additional analytics software or tools.
Which type of metrics can satisfy this goal of directly identifying and predicting failures?

The number and types of API policy violations per day

The effectiveness of the application network based on the level of reuse

The number and types of past API invocations across the application network

The ROI from each APT invocation

NO.67 A manufacturing company has deployed an API implementation to CloudHub and has not configured it to be automatically restarted by CloudHub when the worker is not responding.
Which statement is true when no API Client invokes that API implementation?

No alert on the API invocations and APT implementation can be raised

Alerts on the APT invocation and API implementation can be raised

No alert on the API invocations is raised but alerts on the API implementation can be raised

Alerts on the API invocations are raised but no alerts on the API implementation can be raised

NO.68 A Rate Limiting policy is applied to an API implementation to protect the back-end system. Recently, there have been surges in demand that cause some API client POST requests to the API implementation to be rejected with policy-related errors, causing delays and complications to the API clients.
How should the API policies that are applied to the API implementation be changed to reduce the frequency of errors returned to API clients, while still protecting the back-end system?

Keep the Rate Limiting policy and add 9 Client ID Enforcement policy

Remove the Rate Limiting policy and add an HTTP Caching policy

Remove the Rate Limiting policy and add a Spike Control policy

Keep the Rate Limiting policy and add an SLA-based Spike Control policy

NO.69 An API experiences a high rate of client requests (TPS) vwth small message paytoads. How can usage limits be imposed on the API based on the type of client application?

Use an SLA-based rate limiting policy and assign a client application to a matching SLA tier based on its type

Use a spike control policy that limits the number of requests for each client application type

Use a cross-origin resource sharing (CORS) policy to limit resource sharing between client applications, configured by the client application type

Use a rate limiting policy and a client ID enforcement policy, each configured by the client application type

NO.70 A company requires Mule applications deployed to CloudHub to be isolated between non-production and production environments. This is so Mule applications deployed to non-production environments can only access backend systems running in their customer-hosted non-production environment, and so Mule applications deployed to production environments can only access backend systems running in their customer-hosted production environment. How does MuleSoft recommend modifying Mule applications, configuring environments, or changing infrastructure to support this type of per-environment isolation between Mule applications and backend systems?

Modify properties of Mule applications deployed to the production Anypoint Platform environments to prevent access from non-production Mule applications

Configure firewall rules in the infrastructure inside each customer-hosted environment so that only IP addresses from the corresponding Anypoint Platform environments are allowed to communicate with corresponding backend systems

Create non-production and production environments in different Anypoint Platform business groups

Create separate Anypoint VPCs for non-production and production environments, then configure connections to the backend systems in the corresponding customer-hosted environments

NO.71 A company has started to create an application network and is now planning to implement a Center for Enablement (C4E) organizational model. What key factor would lead the company to decide upon a federated rather than a centralized C4E?

When there are a large number of existing common assets shared by development teams

When various teams responsible for creating APIs are new to integration and hence need extensive training

When development is already organized into several independent initiatives or groups

When the majority of the applications in the application network are cloud based

NO.72 Which statement is true about Spike Control policy and Rate Limiting policy?

All requests are rejected after the limit is reached in Rate Limiting policy, whereas the requests are queued in Spike Control policy after the limit is reached

In a clustered environment, the Rate Limiting.and Spike Control policies are applied to each node in the cluster

To protect Experience APIs by limiting resource consumption, Rate Limiting policy must be applied

In order to apply Rate Limiting and Spike Control policies, a contract to bind client application and API is needed for both

NO.73 전시회를 참조하세요.
What is the best way to decompose one end-to-end business process into a collaboration of Experience, Process, and System APIs?
A) Handle customizations for the end-user application at the Process API level rather than the Experience API level B) Allow System APIs to return data that is NOT currently required by the identified Process or Experience APIs C) Always use a tiered approach by creating exactly one API for each of the 3 layers (Experience, Process and System APIs) D) Use a Process API to orchestrate calls to multiple System APIs, but NOT to other Process APIs

옵션 A

옵션 B

옵션 C

옵션 D

NO.74 What best explains the use of auto-discovery in API implementations?

It makes API Manager aware of API implementations and hence enables it to enforce policies

It enables Anypoint Studio to discover API definitions configured in Anypoint Platform

It enables Anypoint Exchange to discover assets and makes them available for reuse

It enables Anypoint Analytics to gain insight into the usage of APIs

NO.75 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?

se a CloudHub autoscaling policy to add CloudHub workers

Use a CloudHub autoscaling policy to increase the size of the CloudHub worker

Increase the size of the CloudHub worker(s)

Increase the number of CloudHub workers

NO.76 전시회를 참조하세요.

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

옵션 A

옵션 B

옵션 C

옵션 D

NO.77 Which scenario is suited for MUnit tests instead of integration tests?

For read-only interactions to any dependencies (such as other web APIs)

When testing does not require knowledge of implementation details

When no mocking is permissible

For tests that are implemented using SoapUI

NO.78 In which layer of API-led connectivity, does the business logic orchestration reside?

System Layer

Experience Layer

Process Layer

NO.79 An application updates an inventory running only one process at any given time to keep the inventory consistent. This process takes 200 milliseconds (.2 seconds) to execute; therefore, the scalability threshold of the application is five requests per second.
What is the impact on the application if horizontal scaling is applied, thereby increasing the number of Mule workers?

The application scalability threshold is five requests per second regardless of the horizontal scaling

The total process execution time is now 100 milliseconds (.1 seconds)

The application scalability threshold is now 10 requests per second

Horizontal scaling cannot be applied to an already-running application

NO.80 When should idempotency be taken into account?

When making requests to update currently locked entities

When storing the results of s previous request for use in response to subsequent requests

When sending concurrent update requests for the same entity

When preventing duplicate processing from multiple sent requests

NO.81 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?

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.

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

Modify the Mule API implementation’s properties in Anypoint Exchange, then promote the Mule API implementation to the Production environment using Runtime Manager

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

NO.82 Several times a week, an API implementation shows several thousand requests per minute in an Anypoint Monitoring dashboard, Between these bursts, the dashboard shows between two and five requests per minute. The API implementation is running on Anypoint Runtime Fabric with two non-clustered replicas, reserved vCPU 1.0 and vCPU Limit 2.0.
An API consumer has complained about slow response time, and the dashboard shows the 99 percentile is greater than 120 seconds at the time of the complaint. It also shows greater than 90% CPU usage during these time periods.
In manual tests in the QA environment, the API consumer has consistently reproduced the slow response time and high CPU usage, and there were no other API requests at this time. In a brainstorming session, the engineering team has created several proposals to reduce the response time for requests.
Which proposal should be pursued first?

Increase the vCPU resources of the API implementation

Modify the API client to split the problematic request into smaller, less-demanding requests

Increase the number of replicas of the API implementation

Throttle the APT client to reduce the number of requests per minute

NO.83 전시회를 참조하세요.

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

옵션 A

옵션 B

옵션 C

옵션 D

NO.84 A large lending company has developed an API to unlock data from a database server and web server. The API has been deployed to Anypoint Virtual Private Cloud (VPC) on CloudHub 1.0.
The database server and web server are in the customer’s secure network and are not accessible through the public internet. The database server is in the customer’s AWS VPC, whereas the web server is in the customer’s on-premises corporate data center.
How can access be enabled for the API to connect with the database server and the web server?

Set up VPC peering with AWS VPC and a VPN tunnel to the customer’s on-premises corporate data center

Set up VPC peering with AWS VPC and the customer’s on-premises corporate data center

Setup a transit gateway to the customer’s on-premises corporate data center through AWS VPC

Set up VPC peering with the customer’s on-premises corporate data center and a VPN tunnel to AWS VPC

Scenario Overview:
The API resides in Anypoint Virtual Private Cloud (VPC) on CloudHub 1.0, where it requires connectivity to both an AWS-hosted database server and an on-premises web server.
Both servers are isolated from the public internet: the database server is within the customer’s AWS VPC, and the web server is within the customer’s on-premises corporate data center.
Connectivity Requirements:
To connect to the AWS database server from the API in Anypoint VPC, VPC peering is ideal. This would allow a private network connection between the MuleSoft Anypoint VPC and the customer’s AWS VPC, enabling secure, direct access to the database.
To connect to the on-premises web server, a VPN tunnel is suitable. This would establish a secure, encrypted connection from the Anypoint VPC to the customer’s corporate data center, allowing secure data flow between the API and the on-premises web server.
Analysis of Options:
Option A (Correct Answer): Setting up VPC peering with AWS VPC enables private network connectivity with the database server, while a VPN tunnel to the on-premises data center allows secure access to the web server. This combination meets the requirements for secure, controlled access to both resources.
Option B: VPC peering alone would not suffice because it does not support a connection from the Anypoint VPC directly to an on-premises network. A VPN is necessary for on-premises access.
Option C: Setting up a transit gateway would provide connectivity within AWS but would not enable direct connectivity from CloudHub to the on-premises network.
Option D: VPC peering with the on-premises network is not possible because VPC peering is typically used to connect two VPCs, not a VPC with an on-premises network.
Conclusion:
Option A is the correct choice, as it provides a complete solution by using VPC peering for AWS VPC connectivity and a VPN tunnel for secure on-premises connectivity. This setup aligns with Anypoint Platform best practices for connecting Anypoint VPCs to both AWS-hosted and on-premises systems, ensuring secure, controlled access to both the database and web server.
For more detailed reference, MuleSoft documentation on Anypoint VPC peering and VPN connectivity provides additional context on best practices for setting up these connections within a hybrid network infrastructure.

Salesforce MuleSoft-Platform-Architect-I Exam Syllabus Topics:

주제	세부 정보
주제 1	Establishing Organizational and Platform Foundations: Advising on a Center for Enablement (C4E) and identifying KPIs, describing MuleSoft Catalyst’s structure, comparing Identity and Client Management options, and identifying data residency types are essential sub-topics.
주제 2	Meeting API Quality Goals: This topic focuses on designing resilience strategies, selecting appropriate caching and OS usage scenarios, and describing horizontal scaling benefits.
주제 3	Deploying API Implementations to CloudHub: Understanding Object Store usage, selecting worker sizes, predicting app reliability and performance, and comparing load balancers. Avoiding single points of failure in deployments is also its sub-topic.
주제 4	Designing and Sharing APIs: Identifying dependencies between API components, creating and publishing reusable API assets, mapping API data models between Bounded Contexts, and recognizing idempotent HTTP methods.
주제 5	Monitoring and Analyzing Application Networks: It discusses Anypoint Platform components for data generation, collected metrics, and key alerts. This topic also includes specifying alerts to define Mule applications.
주제 6	Designing APIs Using System, Process, and Experience Layers: Identifying suitable APIs for business processes, assigning them according to functional focus, and recommending data model approaches are its sub-topics.