[2024年10月12日] 更新されたMCIA-Level-1試験PDF問題集にはPassTest合格保証付き
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質問 # 159
Refer to the exhibit.
A Mule application is deployed to a cluster of two customer-hosted Mute runtimes. The Mute application has a flow that polls a database and another flow with an HTTP Listener.
HTTP clients send HTTP requests directly to individual cluster nodes.
What happens to database polling and HTTP request handling in the time after the primary (master) node of the cluster has railed, but before that node is restarted?
- A. Database polling continues All HTTP requests continue to be accepted, but requests to the failed node Incur increased latency
- B. Database polling continues Only HTTP requests sent to the remaining node continue to be accepted
- C. Database polling stops All HTTP requests are rejected
- D. Database polling stops All HTTP requests continue to be accepted
正解：B
解説：
Correct answer is Database polling continues Only HTTP requests sent to the remaining node continue to be accepted. Explanation: : Architecture descripted in the question could be described as follows.When node 1 is down , DB polling will still continue via node 2 . Also requests which are coming directly to node 2 will also be accepted and processed in BAU fashion. Only thing that wont work is when requests are sent to Node 1 HTTP connector. The flaw with this architecture is HTTP clients are sending HTTP requests directly to individual cluster nodes. By default, clustering Mule runtime engines ensures high system availability. If a Mule runtime engine node becomes unavailable due to failure or planned downtime, another node in the cluster can assume the workload and continue to process existing events and messages
質問 # 160
A finance giant is planning to migrate all its Mule applications to Runtime fabric (RTF). Currently all Mule applications are deployed cloud hub using automated CI/CD scripts.
As an integration architect, which of the below step would you suggest to ensure that the applications from cloudhub are migrated properly to Runtime Fabric (RTF) with an assumption that organization is keen on keeping the same deployment strategy.
- A. runtimeFabric deployment should be added to POM.xml file in all
the mule applications and CI/CD script should be modified as per the RTF configurations - B. No changes need to be made to POM.xml file and CI/CD script should be modified as per the RTF configurations
- C. runtimeFabric dependency should be added as a mule plug-in to POM.xml file and CI/CD script should be modified as per the RTF configurations
- D. runtimeFabric profile should be added mule configuration files in the mule applications and CI/CD script should be modified as per the RTF configurations
正解：A
解説：
To migrate Mule applications from CloudHub to Runtime Fabric (RTF) while maintaining the same deployment strategy using CI/CD, follow these steps:
* POM.xml Modification: Update the POM.xml file of each Mule application to include runtimeFabric deployment configurations. This ensures that the applications are packaged and prepared correctly for deployment to RTF.
* CI/CD Script Adjustments: Modify the existing CI/CD scripts to accommodate RTF-specific deployment commands and configurations. This includes updating the deployment targets and parameters to match the RTF environment.
* Deployment Strategy: Ensure that the CI/CD pipeline remains consistent with the organization's existing strategy, but with the necessary changes to support RTF. This might involve using Anypoint CLI or API to interact with RTF.
By updating the POM.xml and CI/CD scripts, you can ensure a smooth transition from CloudHub to RTF while retaining the automated deployment process.
References:
* MuleSoft Runtime Fabric
* Mule Maven Plugin
質問 # 161
Refer to the exhibit.
A shopping cart checkout process consists of a web store backend sending a sequence of API invocations to an Experience API, which in turn invokes a Process API. All API invocations are over HTTPS POST. The Java web store backend executes in a Java EE application server, while all API implementations are Mule applications executing in a customer -hosted Mule runtime.
End-to-end correlation of all HTTP requests and responses belonging to each individual checkout Instance is required. This is to be done through a common correlation ID, so that all log entries written by the web store backend, Experience API implementation, and Process API implementation include the same correlation ID for all requests and responses belonging to the same checkout instance.
What is the most efficient way (using the least amount of custom coding or configuration) for the web store backend and the implementations of the Experience API and Process API to participate in end-to-end correlation of the API invocations for each checkout instance?
A)
The web store backend, being a Java EE application, automatically makes use of the thread-local correlation ID generated by the Java EE application server and automatically transmits that to the Experience API using HTTP-standard headers No special code or configuration is included in the web store backend, Experience API, and Process API implementations to generate and manage the correlation ID
B)
The web store backend generates a new correlation ID value at the start of checkout and sets it on the X-CORRELATlON-lt HTTP request header In each API invocation belonging to that checkout No special code or configuration is included in the Experience API and Process API implementations to generate and manage the correlation ID
C)
The Experience API implementation generates a correlation ID for each incoming HTTP request and passes it to the web store backend in the HTTP response, which includes it in all subsequent API invocations to the Experience API.
The Experience API implementation must be coded to also propagate the correlation ID to the Process API in a suitable HTTP request header
D)
The web store backend sends a correlation ID value in the HTTP request body In the way required by the Experience API The Experience API and Process API implementations must be coded to receive the custom correlation ID In the HTTP requests and propagate It in suitable HTTP request headers
- A. Option D
- B. Option B
- C. Option C
- D. Option A
正解：B
質問 # 162
A company is using Mulesoft to develop API's and deploy them to Cloudhub and on premises targets.
Recently it has decided to enable Runtime Fabric deployment option as well and infrastructure is set up for this option.
What can be used to deploy Runtime Fabric?
- A. Directly uploading ajar file from the Runtime manager
- B. Anypoint platform REST API's
- C. AnypointCLI
- D. Mule maven plug-in
正解：C
解説：
When deploying to Runtime Fabric, there are several tools available within the Anypoint Platform ecosystem that facilitate the deployment process. These include:
* AnypointCLI: This command-line interface tool provides comprehensive capabilities for deploying applications to Runtime Fabric. Using AnypointCLI, you can script and automate deployments, which is useful for integrating into CI/CD pipelines.
* Anypoint Platform REST APIs: These APIs allow for programmatic deployment and management of applications on Runtime Fabric. They provide flexibility for integrating deployment processes with other systems and tools.
* Mule Maven Plugin: This plugin can be used within a Maven project to package and deploy Mule applications to Runtime Fabric as part of a build process.
However, directly uploading a JAR file from the Runtime Manager is not a supported method for deploying to Runtime Fabric.
References:
* Anypoint CLI Documentation
* Mule Maven Plugin Documentation
質問 # 163
A global, high-volume shopping Mule application is being built and will be deployed to CloudHub. To improve performance, the Mule application uses a Cache scope that maintains cache state in a CloudHub object store. Web clients will access the Mule application over HTTP from all around the world, with peak volume coinciding with business hours in the web client's geographic location. To achieve optimal performance, what Anypoint Platform region should be chosen for the CloudHub object store?
- A. Choose the same region as to where the Mule application is deployed
- B. Choose the geographically closest available region for each web client
- C. Choose a region that is the traffic-weighted geographic center of all web clients
- D. Choose the US-West region, the only supported region for CloudHub object stores
正解：A
解説：
*Explanation:
CloudHub object store should be in same region where the Mule application is deployed. This will give optimal performance.
Before learning about Cache scope and object store in Mule 4 we understand what is in general Caching is and other related things.
WHAT DOES "CACHING" MEAN?
Caching is the process of storing frequently used data in memory, file system or database which saves processing time and load if it would have to be accessed from original source location every time.
In computing, a cache is a high-speed data storage layer which stores a subset of data, so that future requests for that data are served up faster than is possible by accessing the data's primary storage location. Caching allows you to efficiently reuse previously retrieved or computed data.
How does Caching work?
The data in a cache is generally stored in fast access hardware such as RAM (Random-access memory) and may also be used in correlation with a software component. A cache's primary purpose is to increase data retrieval performance by reducing the need to access the underlying slower storage layer.
Caching in MULE 4
In Mule 4 caching can be achieved in mule using cache scope and/or object-store. Cache scope internally uses Object Store to store the data.
What is Object Store
Object Store lets applications store data and states across batch processes, Mule components, and applications, from within an application. If used on cloud hub, the object store is shared between applications deployed on Cluster.
Cache Scope is used in below-mentioned cases:
* Need to store the whole response from the outbound processor
* Data returned from the outbound processor does not change very frequently
* As Cache scope internally handle the cache hit and cache miss scenarios it is more readable Object Store is used in below-mentioned cases:
* Need to store custom/intermediary data
* To store watermarks
* Sharing the data/stage across applications, schedulers, batch.
If CloudHub object store is in same region where the Mule application is deployed it will aid in fast access of data and give optimal performance.
質問 # 164
A Mule application name Pub uses a persistence object store. The Pub Mule application is deployed to Cloudhub and it configured to use Object Store v2.
Another Mule application name sub is being developed to retrieve values from the Pub Mule application persistence object Store and will also be deployed to cloudhub.
What is the most direct way for the Sub Mule application to retrieve values from the Pub Mule application persistence object store with the least latency?
- A. Use a VM connector configured to directly access the persistence queue of the Pub Mule application persistence object store.
- B. Use the Object store v2 REST API configured to access the Pub Mule application persistence object store.
- C. Use an Anypoint MQ connector configured to directly access the Pub Mule application persistence object store
- D. Use an object store connector configured to access the Pub Mule application persistence object store
正解：B
解説：
* The Object Store V2 API enables API access to Anypoint Platform Object Store v2.
* You can configure a Mule app to use the Object Store REST API to store and retrieve values from an object store in another Mule app. However, Object Store v2 is not designed for app-to-app communication. To share data between two Mule4 apps, use a queue in Anypoint MQ.
* The Object Store v2 APIs enable you to use REST to perform the following:
- Retrieve a list of object stores and keys associated with an application.
- Store and retrieve key-value pairs in an object store.
- Delete key-value pairs from an object store.
- Retrieve Object Store usage statistics for your organization.
- Object Store provides these APIs:
Object Store API
Object Store Stats API
Reference:
Additional Info:
When to use Object Store and when to use VM
質問 # 165
An auto mobile company want to share inventory updates with dealers Dl and D2 asynchronously and concurrently via queues Q1 and Q2. Dealer Dl must consume the message from the queue Q1 and dealer D2 to must consume a message from the queue Q2.
Dealer D1 has implemented a retry mechanism to reprocess the transaction in case of any errors while processing the inventers updates. Dealer D2 has not implemented any retry mechanism.
How should the dealers acknowledge the message to avoid message loss and minimize impact on the current implementation?
- A. Dealer D1 can use auto acknowledgement and dealer D2 can use IMMEDIATE acknowledgement and acknowledge the message of successful processing
- B. Dealer D1 and dealer D2 must use AUTO acknowledgement and acknowledge the message after successful processing
- C. Dealer D1 can use AUTO acknowledgement and dealer D2 must use manual acknowledgement and acknowledge the message after successful processing
- D. Dealer D1 must use auto acknowledgement and dealer D2 can use manual acknowledgement and acknowledge the message after successful processing
正解：C
解説：
* Dealer D1 - AUTO Acknowledgment:
* Dealer D1, which has a retry mechanism, can use AUTO acknowledgment. This means that the message is acknowledged automatically once received. The retry mechanism will handle any processing errors and reprocess the message if needed.
* Dealer D2 - Manual Acknowledgment:
* Dealer D2, which does not have a retry mechanism, must use manual acknowledgment. This approach allows D2 to acknowledge the message only after it has been successfully processed, ensuring no message is lost due to processing errors.
* Ensuring Message Delivery:
* Using manual acknowledgment for Dealer D2 ensures that the message is not lost and can be reprocessed if an error occurs during processing, which is crucial since it lacks a retry mechanism.
References:
* MuleSoft Documentation on JMS Acknowledgment
* Best practices for Reliable Messaging
質問 # 166
A Mule application is deployed to a cluster of two(2) cusomter-hosted Mule runtimes. Currently the node name Alice is the primary node and node named bob is the secondary node. The mule application has a flow that polls a directory on a file system for new files.
The primary node Alice fails for an hour and then restarted.
After the Alice node completely restarts, from what node are the files polled, and what node is now the primary node for the cluster?
- A. Files are polled form Bob node
Bob is now the primary node - B. Files are polled from Alice node
Alice is now the primary node - C. Files are polled form Bob node
Alice is now the primary node - D. Files are polled from Alice node
Bob is the now the primary node
正解：A
解説：
* Mule High Availability Clustering provides basic failover capability for Mule.
* When the primary Mule Runtime becomes unavailable, for example, because of a fatal JVM or hardware failure or it's taken offline for maintenance, a backup Mule Runtime immediately becomes the primary node and resumes processing where the failed instance left off.
* After a system administrator recovers a failed Mule Runtime server and puts it back online, that server automatically becomes the backup node. In this case, Alice, once up, will become backup
Reference: https://docs.mulesoft.com/mule-runtime/4.3/hadr-guide
So correct choice is : Files are polled form Bob node Bob is now the primary node
質問 # 167
Refer to the exhibit.
A Mule application is being designed to expose a SOAP web service to its clients.
What language is typically used inside the web service's interface definition to define the data structures that the web service Is expected to exchange with its clients?
- A. RAMI
- B. JSON Schema
- C. WSDL
- D. XSD
正解：C
質問 # 168
Refer to the exhibit. An organization is designing a Mule application to receive data from one external business partner. The two companies currently have no shared IT infrastructure and do not want to establish one. Instead, all communication should be over the public internet (with no VPN).
What Anypoint Connector can be used in the organization's Mule application to securely receive data from this external business partner?
- A. SFTP connector
- B. File connector
- C. Object Store connector
- D. VM connector
正解：A
質問 # 169
An application load balancer routes requests to a RESTful web API secured by Anypoint Flex Gateway.
Which protocol is involved in the communication between the load balancer and the Gateway?
- A. LDAP
- B. SMTP
- C. HTTPS
- D. SFTP
正解：C
解説：
An application load balancer routes requests to a RESTful web API secured by Anypoint Flex Gateway using the HTTPS protocol. HTTPS (HyperText Transfer Protocol Secure) ensures that the communication between the load balancer and the gateway is encrypted and secure, protecting the data from eavesdropping and tampering. HTTPS is the standard protocol for secure communication over the internet, especially for APIs handling sensitive data.
References:
* Securing APIs with HTTPS
* Understanding HTTPS
質問 # 170
Refer to the exhibit.
Anypoint Platform supports role-based access control (RBAC) to features of the platform. An organization has configured an external Identity Provider for identity management with Anypoint Platform.
What aspects of RBAC must ALWAYS be controlled from the Anypoint Platform control plane and CANNOT be controlled via the external Identity Provider?
- A. Assigning Anypoint Platform permissions to a role
- B. Assigning Anypoint Platform role(s) to a user
- C. Removing a user's access to Anypoint Platform when they no longer work for the organization
- D. Controlling the business group within Anypoint Platform to which the user belongs
正解：A
解説：
* By default, Anypoint Platform performs its own user management
- For user management, one external IdP can be integrated with the Anypoint Platform organization (note: not at business group level)
- Permissions and access control are still enforced inside Anypoint Platform and CANNOT be controlled via the external Identity Provider * As the Anypoint Platform organization administrator, you can configure identity management in Anypoint Platform to set up users for single sign-on (SSO). * You can map users in a federated organization's group to a role which also gives the flexibility of controlling the business group within Anypoint Platform to which the user belongs to. Also user can nbe removed from external identity management system when they no longer work for the organization. So they wont be able to authenticate using SSO to login to Anypoint Platform. * Using external identity we can no change permissions of a particular role in Mulesoft Anypoint platform.
* So Correct answer is Assigning Anypoint Platform permissions to a role
質問 # 171
An API has been unit tested and is ready for integration testing. The API is governed by a Client ID Enforcement policy in all environments.
What must the testing team do before they can start integration testing the API in the Staging environment?
- A. They must access the API portal and create an API notebook using the Client ID and Client Secret supplied by the API portal in the Staging environment
- B. They must request access to the API instance in the Staging environment and obtain a Client ID and Client Secret to be used for testing the API
- C. They must request access to the Staging environment and obtain the Client ID and Client Secret for that environment to be used for testing the API
- D. They must be assigned as an API version owner of the API in the Staging environment
正解：B
解説：
Explanation
* It's mentioned that the API is governed by a Client ID Enforcement policy in all environments.
* Client ID Enforcement policy allows only authorized applications to access the deployed API implementation.
* Each authorized application is configured with credentials: client_id and client_secret.
* At runtime, authorized applications provide the credentials with each request to the API implementation.
MuleSoft Reference: https://docs.mulesoft.com/api-manager/2.x/policy-mule3-client-id-based-policies
質問 # 172
Refer to the exhibit.
An organization uses a 2-node Mute runtime cluster to host one stateless API implementation. The API is accessed over HTTPS through a load balancer that uses round-robin for load distribution.
Two additional nodes have been added to the cluster and the load balancer has been configured to recognize the new nodes with no other change to the load balancer.
What average performance change is guaranteed to happen, assuming all cluster nodes are fully operational?
- A. 50% reduction In the JVM heap memory consumed by each node
- B. 50% reduction in the response time of the API
- C. 50% reduction In the number of requests being received by each node
- D. 100% increase in the throughput of the API
正解：C
質問 # 173
An application deployed to a runtime fabric environment with two cluster replicas is designed to periodically trigger of flow for processing a high-volume set of records from the source system and synchronize with the SaaS system using the Batch job scope After processing 1000 records in a periodic synchronization of 1 lakh records, the replicas in which batch job instance was started went down due to unexpected failure in the runtime fabric environment What is the consequence of losing the replicas that run the Batch job instance?
- A. The remaining 99000 records will be lost and left and processed
- B. A new placement replica will be available and will take or processing the remaining 99,000 records
- C. The second replicas will take over processing the remaining
99000 records - D. A new replacement replica will be available and will be process all 1,00,000 records from scratch leading to duplicate record processing
正解：C
質問 # 174
Refer to the exhibit.
A Mule 4 application has a parent flow that breaks up a JSON array payload into 200 separate items, then sends each item one at a time inside an Async scope to a VM queue.
A second flow to process orders has a VM Listener on the same VM queue. The rest of this flow processes each received item by writing the item to a database.
This Mule application is deployed to four CloudHub workers with persistent queues enabled.
What message processing guarantees are provided by the VM queue and the CloudHub workers, and how are VM messages routed among the CloudHub workers for each invocation of the parent flow under normal operating conditions where all the CloudHub workers remain online?
- A. ALL item VM messages are processed AT MOST ONCE by ONE ARBITRARY CloudHub worker This one CloudHub worker processes ALL 200 item VM messages
- B. EACH item VM message is processed AT MOST ONCE by ONE CloudHub worker, with workers chosen in a deterministic round-robin fashion Each of the four CloudHub workers can be expected to process 1/4 of the Item VM messages (about 50 items)
- C. EACH item VM message is processed AT LEAST ONCE by ONE ARBITRARY CloudHub worker Each of the four CloudHub workers can be expected to process some item VM messages
- D. ALL Item VM messages are processed AT LEAST ONCE by the SAME CloudHub worker where the parent flow was invoked This one CloudHub worker processes ALL 200 item VM messages
正解：C
解説：
Correct answer is EACH item VM message is processed AT LEAST ONCE by ONE ARBITRARY CloudHub worker. Each of the four CloudHub workers can be expected to process some item VM messages In Cloudhub, each persistent VM queue is listened on by every CloudHub worker - But each message is read and processed at least once by only one CloudHub worker and the duplicate processing is possible - If the CloudHub worker fails , the message can be read by another worker to prevent loss of messages and this can lead to duplicate processing - By default , every CloudHub worker's VM Listener receives different messages from VM Queue Referenece: https://dzone.com/articles/deploying-mulesoft-application-on-1-worker-vs-mult
質問 # 175
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