Mule-Arch-201認定試験トレーリング、Mule-Arch-201試験解説問題

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Salesforce Mule-Arch-201 Exam Syllabus Topics:

SectionWeightObjectives
Applying Integration Patterns11%- Scalability and performance patterns
- Event-driven and synchronous integration
- Error handling and reliability patterns
- Common integration patterns and use cases
Managing APIs12%- API policies and security enforcement
- Versioning and deprecation strategies
- Rate limiting and throttling
- API lifecycle management
Deploying API Implementations to CloudHub11%- Worker sizing and resource planning
- Deployment optimization and scaling
- VPC and private space configuration
- CloudHub architecture and capabilities
Designing and Sharing APIs11%- Asset sharing and reuse via Anypoint Exchange
- API design standards and best practices
- API specification and documentation
- API layering: Experience, Process, System APIs
Architecting and Deploying API Implementations11%- CI/CD and DevOps integration
- Networking and security configuration
- High availability and fault tolerance
- Runtime architecture and deployment options
Meeting API Quality Goals8%- Maintainability and testability
- Performance and latency requirements
- Security and compliance standards
- Reliability and availability targets
Explaining Application Network Basics11%- Benefits of modern API design
- API-led connectivity principles
- Core concepts of application networks
Establishing Organizational and Platform Foundations17%- Anypoint Platform architecture and components
- Center for Enablement (C4E) operating model
- Governance and organizational structure
- Platform strategy and roadmap definition
Monitoring and Analyzing Application Networks8%- Logging and alerting configuration
- Operational visibility and optimization
- Analytics and insight generation
- Monitoring strategies and tools

>> Mule-Arch-201認定試験トレーリング <<

Mule-Arch-201試験解説問題 & Mule-Arch-201試験勉強過去問

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Salesforce Certified MuleSoft Platform Architect 認定 Mule-Arch-201 試験問題 (Q36-Q41):

質問 # 36
An Order API must be designed that contains significant amounts of integration logic and involves the invocation of the Product API.
The power relationship between Order API and Product API is one of "Customer/Supplier", because the Product API is used heavily throughout the organization and is developed by a dedicated development team located in the office of the CTO.
What strategy should be used to deal with the API data model of the Product API within the Order API?

正解:D

解説:
Correct Answe r: Convince the development team of the product API to adopt the API data model of the Order API such that integration logic of the Order API can work with one consistent internal data model
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Key details to note from the given scenario:
>> Power relationship between Order API and Product API is customer/supplier So, as per below rules of "Power Relationships", the caller (in this case Order API) would request for features to the called (Product API team) and the Product API team would need to accomodate those requests.


質問 # 37
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?

正解:C

解説:
Correct Answe r: GET, OPTIONS, HEAD
http://restcookbook.com/HTTP%20Methods/idempotency/


質問 # 38
An eCommerce company is adding a new Product Details feature to their website, A customer will launch the product catalog page, a new Product Details link will appear by product where they can click to retrieve the product detail description. Product detail data is updated with product update releases, once or twice a year, Presently the database response time has been very slow due to high volume.
What action retrieves the product details with the lowest response time, fault tolerant, and consistent data?

正解:C

解説:
Scenario Analysis:
The eCommerce company's Product Details feature requires low response time and consistent data for a feature where data rarely changes (only once or twice a year).
The database response time is slow due to high volume, so querying the database directly on each request would lead to poor performance and higher response times.
Optimal Solution Requirements:
Low Response Time: Data retrieval should be fast and not depend on database performance.
Fault Tolerance and Data Consistency: Cached or stored data should be consistent and resilient in case of database unavailability, as the product details data changes infrequently.
Evaluating the Options:
Option A: Using a Cache scope would temporarily store the product details in memory, which could improve performance but might not be suitable for infrequent updates (only twice a year), as cache expiration policies typically require shorter durations.
Option B: Storing product details in Anypoint MQ and then retrieving it through a subscriber is not suitable for this use case. Anypoint MQ is better for messaging rather than as a data storage mechanism.
Option C (Correct Answer): Using an object store to store and retrieve product details is ideal. Object stores in MuleSoft are designed for persistent storage of key-value pairs, which allows storing data retrieved from the database initially. This provides quick, consistent access without querying the database on every request, aligning with requirements for low response time, fault tolerance, and data consistency.
Option D: Selecting data directly from the database for each request would not meet the performance requirement due to known slow response times from the database.
Conclusion:
Option C is the best answer, as using an object store allows caching the infrequently updated product details. This approach reduces the dependency on the database, significantly improving response time and ensuring consistent data.
Refer to MuleSoft documentation on Object Store v2 and best practices for data caching to implement this solution effectively.


質問 # 39
A customer has an ELA contract with MuleSoft. An API deployed to CloudHub is consistently experiencing performance issues. Based on the root cause analysis, it is determined that autoscaling needs to be applied.
How can this be achieved?

正解:B

解説:
In MuleSoft CloudHub, autoscaling is essential to managing application load efficiently. CloudHub supports horizontal scaling based on CPU usage, which is well-suited to applications experiencing variable demand and needing responsive resource allocation.
Autoscaling on CloudHub:
Horizontal scaling increases the number of workers in response to CPU usage thresholds, allowing the application to handle higher loads dynamically. This approach improves performance without downtime or manual intervention.
Why Option C is Correct:
Setting up autoscaling based on CPU usage aligns with MuleSoft's best practices for scalable and responsive applications on CloudHub, particularly in an environment with fluctuating load patterns.
Option C correctly leverages CloudHub's autoscaling features based on resource metrics, which are part of CloudHub's managed scaling solutions.
of Incorrect Options:
Option A (based on HTTP request thresholds) and Option B (separate policies for CPU and memory) do not represent CloudHub's recommended scaling practices.
Option D suggests vertical scaling based on response time, which is not how CloudHub handles autoscaling.
Reference
For more on CloudHub's autoscaling configuration, refer to MuleSoft documentation on CloudHub autoscaling policies.


質問 # 40
What best describes the Fully Qualified Domain Names (FQDNs), also known as DNS entries, created when a Mule application is deployed to the CloudHub Shared Worker Cloud?

正解:B

解説:
Correct Answe r: The FQDNs are determined by the application name chosen, IRRESPECTIVE of the region
*****************************************
>> When deploying applications to Shared Worker Cloud, the FQDN are always determined by application name chosen.
>> It does NOT matter what region the app is being deployed to.
>> Although it is fact and true that the generated FQDN will have the region included in it (Ex: exp-salesorder-api.au-s1.cloudhub.io), it does NOT mean that the same name can be used when deploying to another CloudHub region.
>> Application name should be universally unique irrespective of Region and Organization and solely determines the FQDN for Shared Load Balancers.


質問 # 41
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