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最新のMule-Arch-201準備資料は、Mule-Arch-201試験に最短時間で合格して、最も重要なテストの難易度をマスターし、学習効率を向上させたい場合に役立ちます。また、一生懸命勉強して、資格試験に合格し、Mule-Arch-201証明書を取得することは、もはや夢ではありません。これらの条件で、あなたはインタビューから目立ち、あなたが待っていた仕事を得ることができます。ただし、リアルタイムの雇用プロセスでは、ユーザーも自分自身を豊かにすることを学び続ける必要があります。 Mule-Arch-201の練習教材を学ぶには、勝利が近づいています。
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Applying Integration Patterns | 11% | - Common integration patterns and use cases - Scalability and performance patterns - Error handling and reliability patterns - Event-driven and synchronous integration |
| Topic 2: Architecting and Deploying API Implementations | 11% | - CI/CD and DevOps integration - Networking and security configuration - High availability and fault tolerance - Runtime architecture and deployment options |
| Topic 3: Managing APIs | 12% | - API lifecycle management - API policies and security enforcement - Versioning and deprecation strategies - Rate limiting and throttling |
| Topic 4: Monitoring and Analyzing Application Networks | 8% | - Analytics and insight generation - Logging and alerting configuration - Monitoring strategies and tools - Operational visibility and optimization |
| Topic 5: Deploying API Implementations to CloudHub | 11% | - Worker sizing and resource planning - Deployment optimization and scaling - VPC and private space configuration - CloudHub architecture and capabilities |
| Topic 6: Establishing Organizational and Platform Foundations | 17% | - Anypoint Platform architecture and components - Center for Enablement (C4E) operating model - Platform strategy and roadmap definition - Governance and organizational structure |
| Topic 7: Meeting API Quality Goals | 8% | - Reliability and availability targets - Performance and latency requirements - Security and compliance standards - Maintainability and testability |
| Topic 8: Designing and Sharing APIs | 11% | - API design standards and best practices - Asset sharing and reuse via Anypoint Exchange - API specification and documentation - API layering: Experience, Process, System APIs |
| Topic 9: Explaining Application Network Basics | 11% | - Benefits of modern API design - API-led connectivity principles - Core concepts of application networks |
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質問 # 94
Which APIs can be used with DataGraph to create a unified schema?
正解：A
解説：
To create a unified schema in MuleSoft's DataGraph, APIs must be exposed in a way that allows DataGraph to pull and consolidate data from these APIs into a single schema accessible to consumers. DataGraph provides a federated approach, combining multiple APIs to form a single, unified API endpoint.
In this setup:
APIs 1, 2, 3, and 4 are suitable candidates for DataGraph because they are hosted within the Customer VPC on CloudHub and are accessible either through a Shared Load Balancer (LB) or a Dedicated Load Balancer (DLB). Both of these load balancers provide public access, which is a necessary condition for DataGraph as it must access the APIs to aggregate data.
APIs 5 and 6 are hosted on Customer Hosted Server 2, which is explicitly marked as "Not public". Since DataGraph requires API access through a publicly reachable endpoint to aggregate them into a unified schema, APIs 5 and 6 cannot be used with DataGraph in this configuration.
APIs 3 and 4 on Customer Hosted Server 1 appear accessible through a Shared LB, implying public accessibility that meets DataGraph's requirements.
By combining APIs 1, 2, 3, and 4 within DataGraph, you can create a unified schema that enables clients to query data seamlessly from all these APIs as if it were from a single source.
This setup allows for efficient data retrieval and can simplify API consumption by reducing the need to call multiple APIs individually, thus optimizing performance and developer experience.
Reference
For more detailed information on setting up and managing unified schemas in DataGraph, refer to the DataWeave documentation and MuleSoft DataGraph resources which provide in-depth guidelines on schema aggregation and API federation.
質問 # 95
Refer to the exhibit. An organization is running a Mule standalone runtime and has configured Active Directory as the Anypoint Platform external Identity Provider. The organization does not have budget for other system components.
What policy should be applied to all instances of APIs in the organization to most effecuvelyKestrict access to a specific group of internal users?
正解：B
解説：
Correct Answe r: Apply a basic authentication - LDAP policy; the internal Active Directory will be configured as the LDAP source for authenticating users.
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>> IP Whitelisting does NOT fit for this purpose. Moreover, the users workstations may not necessarily have static IPs in the network.
>> OAuth 2.0 enforcement requires a client provider which isn't in the organizations system components.
>> It is not an effective approach to let every user create separate client credentials and configure those for their usage.
The effective way it to apply a basic authentication - LDAP policy and the internal Active Directory will be configured as the LDAP source for authenticating users.
質問 # 96
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?
正解：D
解説：
Correct Answe r: When development is already organized into several independent initiatives or groups
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>> It would require lot of process effort in an organization to have a single C4E team coordinating with multiple already organized development teams which are into several independent initiatives. A single C4E works well with different teams having at least a common initiative. So, in this scenario, federated C4E works well instead of centralized C4E.
質問 # 97
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?
正解：C
解説：
For applications deployed on CloudHub in a foreign region (e.g., Singapore), MuleSoft handles log and monitoring data in the region where the control plane resides. This data storage policy is standard for CloudHub deployments to maintain centralized log and monitoring data.
Data Location:
For a U.S.-based control plane, all logs and monitoring data are stored in the United States, regardless of the deployment region.
Although the application itself runs in Singapore, data related to application performance and logs is not localized to the deployment region.
of Correct Answer (B):
Since the control plane is based in the United States, all operational data like logs and monitoring will also be stored there, ensuring compliance with MuleSoft's data handling policies.
of Incorrect Options:
Option A and D are incorrect because MuleSoft does not store logs or monitoring data in the application deployment region when the control plane is located in the United States.
Option C suggests mixed storage, which does not align with MuleSoft's data policy structure.
Reference
For details on data residency in CloudHub deployments, refer to MuleSoft's documentation on CloudHub control planes and data handling policies.
質問 # 98
A company deploys Mule applications with default configurations through Runtime Manager to customer-hosted Mule runtimes. Each Mule application is an API implementation that exposes RESTful interfaces to API clients. The Mule runtimes are managed by the MuleSoft-hosted control plane. The payload is never used by any Logger components.
When an API client sends an HTTP request to a customer-hosted Mule application, which metadata or data (payload) is pushed to the MuleSoft-hosted control plane?
正解：A
解説：
Understanding the Data Flow Between Mule Runtimes and Control Plane:
When Mule applications are deployed on customer-hosted Mule runtimes, the MuleSoft-hosted control plane (Anypoint Platform) can monitor and manage these applications. However, due to data privacy and security, the control plane only collects specific types of information.
Typically, only metadata about the request and response (such as headers, status codes, and timestamps) is sent to the MuleSoft-hosted control plane. The actual payload data is not transmitted unless explicitly configured, ensuring that sensitive data remains within the customer's network.
Evaluating the Options:
Option A (Only the data): This is incorrect because the payload data itself is not automatically sent to the control plane in default configurations.
Option B (No data): This is incorrect as well; while the payload is not sent, metadata is still collected and sent to the control plane.
Option C (The data and metadata): This option is incorrect because data (payload) is not transmitted to the control plane by default.
Option D (Correct Answer): Only the metadata is sent to the MuleSoft-hosted control plane by default, aligning with MuleSoft's design to prioritize security and data privacy for customer-hosted runtimes.
Conclusion:
Option D is the correct answer, as by default, only metadata is sent to the MuleSoft-hosted control plane, and not the payload. This configuration is designed to protect sensitive data from being exposed outside the customer's hosted environment.
For more details, refer to MuleSoft's documentation on telemetry data collected in customer-hosted Mule runtimes and the MuleSoft control plane.
質問 # 99
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