BONUS!!! Download part of ActualVCE Mule-Arch-201 dumps for free: https://drive.google.com/open?id=1k8YD8ciSYaxfq8jVKaKFJ03P1ZKK9DEk
You will feel convenient if you buy our product not only because our Mule-Arch-201 exam prep is of high pass rate but also our service is also perfect. What’s more, our update can provide the latest and most useful Mule-Arch-201 exam guide to you, in order to help you learn more and master more. We provide great customer service before and after the sale and different versions for you to choose, you can download our free demo to check the quality of our Mule-Arch-201 Guide Torrent. You will never be disappointed.
| Section | Weight | Objectives |
|---|---|---|
| Establishing Organizational and Platform Foundations | 17% | - Platform strategy and roadmap definition - Anypoint Platform architecture and components - Center for Enablement (C4E) operating model - Governance and organizational structure |
| Applying Integration Patterns | 11% | - Error handling and reliability patterns - Common integration patterns and use cases - Event-driven and synchronous integration - Scalability and performance patterns |
| Architecting and Deploying API Implementations | 11% | - High availability and fault tolerance - Networking and security configuration - Runtime architecture and deployment options - CI/CD and DevOps integration |
| Explaining Application Network Basics | 11% | - API-led connectivity principles - Core concepts of application networks - Benefits of modern API design |
| Managing APIs | 12% | - API policies and security enforcement - Versioning and deprecation strategies - Rate limiting and throttling - API lifecycle management |
| Designing and Sharing APIs | 11% | - API layering: Experience, Process, System APIs - API specification and documentation - API design standards and best practices - Asset sharing and reuse via Anypoint Exchange |
| Deploying API Implementations to CloudHub | 11% | - Deployment optimization and scaling - Worker sizing and resource planning - VPC and private space configuration - CloudHub architecture and capabilities |
| Meeting API Quality Goals | 8% | - Performance and latency requirements - Maintainability and testability - Security and compliance standards - Reliability and availability targets |
| Monitoring and Analyzing Application Networks | 8% | - Analytics and insight generation - Monitoring strategies and tools - Logging and alerting configuration - Operational visibility and optimization |
>> Salesforce Mule-Arch-201 Practice Tests <<
In some companies, the certificate of the exam isdirectly linked with the wages and the position in your company. Our Mule-Arch-201 exam cram will offer you the short way to get the certificate. With the most eminent professionals in the field to compile and examine the Mule-Arch-201 Test Dumps, they have a high quality. Purchasing the Mule-Arch-201 exam cram of us guarantees the pass rate, and if you can’t pass, money back is guaranteed.
NEW QUESTION # 82
To minimize operation costs, a customer wants to use a CloudHub 1.0 solution. The customer's requirements are:
* Separate resources with two Business groups
* High-availability (HA) for all APIs
* Route traffic via Dedicated load balancer (DLBs)
* Separate environments into production and non-production
Which solution meets the customer's needs?
Answer: B
Explanation:
Understanding the Requirements:
Business Groups: The solution must support two business groups, which typically require separate VPCs for logical separation.
High Availability (HA): Requires deploying resources across multiple availability zones.
Dedicated Load Balancer (DLB): Traffic should be routed via DLBs, which operate within VPCs on CloudHub.
Separate Environments: There needs to be separation between production and non-production environments.
Evaluating the Options:
Option A: Using a single production and non-production VPC and differentiating business groups via availability zones is not ideal as it does not provide full separation for each business group, and using maximum CIDR allocation is wasteful.
Option B (Correct Answer): Creating separate production and non-production VPCs per business group with minimized CIDR blocks, multiple availability zones, and multiple workers per application for HA meets all requirements effectively.
Option C: While this option separates VPCs per business group, it does not fully address the requirement for HA across availability zones by specifying multi-zone deployment only during API deployment, which may not guarantee redundancy.
Option D: Configuring subnets to differentiate business groups within a single production and non-production VPC does not fully separate the business groups, which is a requirement.
Conclusion:
Option B is the best choice as it meets the requirements for high availability, business group separation, and cost efficiency by using minimized CIDR allocations and deploying multiple workers across availability zones.
For further reference, refer to MuleSoft's documentation on VPC configuration and high availability deployment strategies.
NEW QUESTION # 83
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?
Answer: B
Explanation:
Scenario Analysis:
The API implementation is experiencing high CPU usage (over 90%) during bursts of requests, which correlates with slow response times, as indicated by a 99th percentile response time greater than 120 seconds.
The API implementation is running on Anypoint Runtime Fabric with two non-clustered replicas and has a reserved vCPU of 1.0 and a vCPU limit of 2.0.
The high CPU usage during bursts suggests that the current resources may not be sufficient to handle peak loads.
Evaluating the Options:
Option A (Correct Answer): Increasing the vCPU resources for each replica would provide more processing power to handle high traffic volumes, potentially reducing the response time during spikes. Since the CPU usage is consistently high during bursts, this option directly addresses the resource bottleneck.
Option B: Modifying the API client to split requests may reduce individual request load but could be complex to implement on the client side and may not fully address the high CPU issue.
Option C: Increasing the number of replicas could help distribute the load; however, with a high CPU load on each replica, adding more replicas without increasing CPU resources may not fully resolve the problem.
Option D: Throttling the client would reduce the number of requests, but this may not be acceptable if the client needs to maintain a high request rate. It also does not directly address the CPU limitations of the API implementation.
Conclusion:
Option A is the best choice as it addresses the root cause of high CPU usage by increasing the vCPU allocation, allowing the API to handle more requests efficiently. This should be pursued first before considering other options.
Refer to MuleSoft's documentation on Runtime Fabric and vCPU resource allocation for more details on optimizing API performance in high-demand environments.
NEW QUESTION # 84
Which three tools automate the deployment of Mule applications?
Choose 3 answers
Answer: A,B,D
Explanation:
MuleSoft offers various tools to automate the deployment of Mule applications, which can streamline deployment and management processes. Here's how each tool supports automated deployment:
Runtime Manager:
Anypoint Runtime Manager is MuleSoft's web-based interface that allows users to deploy, manage, and monitor applications directly. It provides deployment automation through its user-friendly interface.
Anypoint Platform CLI:
The Anypoint CLI enables scripting of deployment and management tasks, making it possible to automate deployments via command-line scripts. This tool is ideal for CI/CD pipelines as it integrates with automated processes.
Platform APIs:
MuleSoft's Platform APIs allow programmatic access to deployment functions, enabling integration with external automation tools and CI/CD systems. These APIs facilitate deployment through RESTful calls, which can be automated for continuous delivery.
of Incorrect Options:
Option D (Anypoint Studio) is primarily for development and does not support deployment automation.
Option E (Maven Plugin) can be used for building and deploying Mule applications but isn't classified as a platform tool for deployment.
Option F (API Community Manager) is unrelated to deployment and instead focuses on managing API communities.
Reference
For detailed steps on automating deployments with these tools, refer to MuleSoft documentation on Runtime Manager, CLI, and Platform APIs.
NEW QUESTION # 85
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 Answe r: 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 # 86
An organization is implementing a Quote of the Day API that caches today's quote.
What scenario can use the GoudHub Object Store via the Object Store connector to persist the cache's state?
Answer: B
Explanation:
Correct Answe r: When there is one CloudHub deployment of the API implementation to three CloudHub workers that must share the cache state.
*****************************************
Key details in the scenario:
>> Use the CloudHub Object Store via the Object Store connector
Considering above details:
>> CloudHub Object Stores have one-to-one relationship with CloudHub Mule Applications.
>> We CANNOT use an application's CloudHub Object Store to be shared among multiple Mule applications running in different Regions or Business Groups or Customer-hosted Mule Runtimes by using Object Store connector.
>> If it is really necessary and very badly needed, then Anypoint Platform supports a way by allowing access to CloudHub Object Store of another application using Object Store REST API. But NOT using Object Store connector.
So, the only scenario where we can use the CloudHub Object Store via the Object Store connector to persist the cache's state is when there is one CloudHub deployment of the API implementation to multiple CloudHub workers that must share the cache state.
NEW QUESTION # 87
......
Our professional experts have carefully compiled our Mule-Arch-201 practice braindumps to be the best seller in the market. The information is provided in the form of our Mule-Arch-201 exam questions and answers, following the style of the real exam paper pattern. So if you buy our Mule-Arch-201 training guide, you will find that it is easy to pass the exam for it is exam-oriented. What is more, you will learn a lot of work skills according to the latest information.
Mule-Arch-201 New Dumps Sheet: https://www.actualvce.com/Salesforce/Mule-Arch-201-valid-vce-dumps.html
What's more, part of that ActualVCE Mule-Arch-201 dumps now are free: https://drive.google.com/open?id=1k8YD8ciSYaxfq8jVKaKFJ03P1ZKK9DEk