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質問 # 39
An organization is creating a set of new services that are critical for their business. The project team prefers using REST for all services but is willing to use SOAP with common WS-" standards if a particular service requires it.
What requirement would drive the team to use SOAP/WS-* for a particular service?
- A. Must use XML payloads for the service and ensure that it adheres to a specific schema
- B. Must secure the service, requiring all consumers to submit a valid SAML token
- C. Must publish and share the service specification (including data formats) with the consumers of the service
- D. Must support message acknowledgement and retry as part of the protocol
正解：B
解説：
Security Assertion Markup Language (SAML) is an open standard that allows identity providers (IdP) to pass authorization credentials to service providers (SP).
SAML transactions use Extensible Markup Language (XML) for standardized communications between the identity provider and service providers.
SAML is the link between the authentication of a user's identity and the authorization to use a service.
WS-Security is the key extension that supports many authentication models including: basic username
/password credentials, SAML, OAuth and more.
A common way that SOAP API's are authenticated is via SAML Single Sign On (SSO). SAML works by facilitating the exchange of authentication and authorization credentials across applications. However, there is no specification that describes how to add SAML to REST web services.
Reference : https://www.oasis-open.org/committees/download.php/16768/wss-v1.1-spec-os- SAMLTokenProfile.pdf
質問 # 40
An integration team uses Anypoint Platform and follows MuleSoft's recommended approach to full lifecycle API development.
Which step should the team's API designer take before the API developers implement the AP! Specification?
- A. Publish the API specification to Exchange and solicit feedback from the API's consumers
- B. Use the scaffolding capability of Anypoint Studio to create an API portal based on the API specification
- C. Use API Manager to version the API specification
- D. Generate test cases using MUnit so the API developers can observe the results of running the API
正解：A
質問 # 41
What is an advantage of using OAuth 2.0 client credentials and access tokens over only API keys for API authentication?
- A. If the access token is compromised, I can be exchanged for an API key.
- B. If the client secret is compromised, the client credentials do not have to be reissued.
- C. If the access token is compromised, the client credentials do not to be reissued.
- D. If the client ID is compromised, it can be exchanged for an API key
正解：C
解説：
The advantage of using OAuth 2.0 client credentials and access tokens over only API keys for API authentication is that if the access token is compromised, the client credentials do not have to be reissued.
OAuth 2.0 is a secure protocol for authenticating clients and authorizing them to access protected resources. It works by having the client authenticate with the authorization server and receive an access token, which is then used to authenticate requests to the API. If the access token is compromised, it can be revoked and replaced without needing to reissue the client credentials.
Reference:
Chapter 7: Security
Section 7.2: OAuth 2.0
質問 # 42
A MuteSoft developer must implement an API as a Mule application, run the application locally, and execute unit tests against the Running application.
Which Anypoint Platform component can the developer use to full all of these requirements?
- A. Anypoint CLI
- B. API Designer
- C. API Manager
- D. Anypoint Studio
正解：D
解説：
A MuleSoft developer can use Anypoint Studio to implement an API as a Mule application, run the application locally, and execute unit tests against the running application. Anypoint Studio is an integrated development environment (IDE) for designing, building, testing, and deploying Mule applications. It provides tools for local development and testing, including MUnit for creating and running unit tests, making it a comprehensive solution for developing MuleSoft applications.
References:
* Anypoint Studio Overview
* Using MUnit for Unit Testing
質問 # 43
A bank is implementing a REST API in a Mule application to receive an array of accounts from an online banking platform user interface (UI),retrieve account balances for those accounts from a backend Finance system, and then return the account balances so they can be displayed inthe online banking platform UI. As part of the processing, the MuleSoft API also needs to insert the retrieved account data into an AuditDatabase for auditing purposes. the auditing process should not add latency to the account balance retrieval response back to the onlinebanking platform UI.
The retrieveBalances flow in the Mule application is designed to use an operation in a connector to the Finance system (the Finance operation) that can only look up one account record at a time, and a operation from a different connector to the Audit system (the Audit operation) that can only insert one account record at a time.
To best meet the performance-related requirements, what scope or scopes should be used and how should they be used to incorporate the Finance operation and Audit operation into the retrieveBalances flow?
- A. Wrap the Finance operation in a Parallel For-Each scope. Wrap the Audit operation in a Async scope.
- B. Wrap the Finance operation in a Until-Successful scope. Wrap the Audit operation in a Try-Catch scope.
- C. Wrap both connector operations in a Async scope.
- D. Wrap both connector operations in a For-Each scope.
正解：A
解説：
* Understanding the Operations:
* The Finance operation can only look up one account record at a time.
* The Audit operation can only insert one account record at a time.
* Parallel For-Each Scope:
* Finance Operation: Use a Parallel For-Each scope to process multiple account lookups simultaneously.
* This improves performance by allowing concurrent processing of account records, leveraging parallelism.
* Async Scope:
* Audit Operation: Use an Async scope to handle the insertion of account records independently.
* The Async scope ensures that the Audit operation does not block the main processing flow, allowing other processes to continue without waiting for the Audit operation to complete.
* Performance Optimization:
* Combining Parallel For-Each for the Finance operation and Async scope for the Audit operation maximizes throughput.
* This approach ensures efficient use of resources and reduces latency by parallelizing account lookups and asynchronously handling audit inserts.
MuleSoft Documentation on Scopes: Mule Scopes
MuleSoft Best Practices for Performance: Performance Best Practices
質問 # 44
An organization designing a hybrid, load balanced, single cluster production environment. Due to performance service level agreement goals, it is looking into running the Mule applications in an active-active multi node cluster configuration.
What should be considered when running its Mule applications in this type of environment?
- A. A Mule application deployed to multiple nodes runs in an isolation from the other nodes in the cluster
- B. All event sources, regardless of time , can be configured as the target source by the primary node in the cluster
- C. An external load balancer is required to distribute incoming requests throughout the cluster nodes
- D. Although the cluster environment is fully installed configured and running, it will not process any requests until an outage condition is detected by the primary node in the cluster.
正解：A
質問 # 45
An insurance provider is implementing Anypoint platform to manage its application infrastructure and is using the customer hosted runtime for its business due to certain financial requirements it must meet. It has built a number of synchronous API's and is currently hosting these on a mule runtime on one server These applications make use of a number of components including heavy use of object stores and VM queues.
Business has grown rapidly in the last year and the insurance provider is starting to receive reports of reliability issues from its applications.
The DevOps team indicates that the API's are currently handling too many requests and this is over loading the server. The team has also mentioned that there is a significant downtime when the server is down for maintenance.
As an integration architect, which option would you suggest to mitigate these issues?
- A. Add a load balancer and add additional servers in a cluster configuration
- B. Add a load balancer and add additional servers in a server group configuration
- C. Increase physical specifications of server CPU memory and network
- D. Change applications by use an event-driven model
正解：A
解説：
To address the reliability and scalability issues faced by the insurance provider, adding a load balancer and configuring additional servers in a cluster configuration is the optimal solution. Here's why:
* Load Balancing: Implementing a load balancer will help distribute incoming API requests evenly across multiple servers. This prevents any single server from becoming a bottleneck, thereby improving the overall performance and reliability of the system.
* Cluster Configuration: By setting up a cluster configuration, you ensure that multiple servers work together as a single unit. This provides several benefits:
* High Availability: If one server goes down, the load balancer can redirect traffic to other available servers in the cluster, minimizing downtime.
* Scalability: Additional servers can be added to the cluster to handle increased load as the business grows.
* Fault Tolerance: Clustering allows for automatic failover and recovery, ensuring that applications remain available even if one server fails.
* Maintenance: With a cluster configuration, servers can be taken offline for maintenance one at a time without affecting the overall availability of the applications, as the load balancer can redirect traffic to the remaining servers.
* VM Queues and Object Stores: In a clustered environment, the use of VM queues and object stores can be more efficiently managed as these resources are distributed across multiple servers, reducing the risk of contention and improving throughput.
References:
* MuleSoft Documentation on Clustering: https://docs.mulesoft.com/mule-runtime/4.3/clustering
* Best Practices for Scaling Mule Applications: https://blogs.mulesoft.com/dev/mule-dev/mule-4-scaling- applications/
質問 # 46
Insurance organization is planning to deploy Mule application in MuleSoft Hosted runtime plane. As a part of requirement , application should be scalable . highly available. It also has regulatory requirement which demands logs to be retained for at least 2 years. As an Integration Architect what step you will recommend in order to achieve this?
- A. When deploying an application to CloudHub , logs retention period should be selected as 2 years
- B. When deploying an application to CloudHub, worker size should be sufficient to store 2 years data
- C. It is not possible to store logs for 2 years in CloudHub deployment. External log management system is required.
- D. Logging strategy should be configured accordingly in log4j file deployed with the application.
正解：C
解説：
Correct answer is It is not possible to store logs for 2 years in CloudHub deployment. External log management system is required. CloudHub has a specific log retention policy, as described in the documentation: the platform stores logs of up to 100 MB per app & per worker or for up to 30 days, whichever limit is hit first. Once this limit has been reached, the oldest log information is deleted in chunks and is irretrievably lost. The recommended approach is to persist your logs to a external logging system of your choice (such as Splunk, for instance) using a log appender. Please note that this solution results in the logs no longer being stored on our platform, so any support cases you lodge will require for you to provide the appropriate logs for review and case resolution
質問 # 47
A Mule application contains a Batch Job with two Batch Steps (Batch_Step_l and Batch_Step_2). A payload with 1000 records is received by the Batch Job.
How many threads are used by the Batch Job to process records, and how does each Batch Step process records within the Batch Job?
- A. Each Batch Job uses SEVERAL THREADS for the Batch Steps Each Batch Step instance receives ONE record at a time as the payload, and RECORDS are processed IN PARALLEL within and between the two Batch Steps
- B. Each Batch Job uses a SINGLE THREAD for all Batch steps Each Batch step instance receives ONE record at a time as the payload, and RECORDS are processed IN ORDER, first through Batch_Step_l and then through Batch_Step_2
- C. Each Batch Job uses a SINGLE THREAD to process a configured block size of record Each Batch Step instance receives A BLOCK OF records as the payload, and BLOCKS of records are processed IN ORDER
- D. Each Batch Job uses SEVERAL THREADS for the Batch Steps Each Batch Step instance receives ONE record at a time as the payload, and BATCH STEP INSTANCES execute IN PARALLEL to process records and Batch Steps in ANY order as fast as possible
正解：A
解説：
* Each Batch Job uses SEVERAL THREADS for the Batch Steps
* Each Batch Step instance receives ONE record at a time as the payload. It's not received in a block, as it does not wait for multiple records to be completed before moving to next batch step. (So Option D is out of choice)
* RECORDS are processed IN PARALLEL within and between the two Batch Steps.
* RECORDS are not processed in order. Let's say if second record completes batch_step_1 before record 1, then it moves to batch_step_2 before record 1. (So option C and D are out of choice)
* A batch job is the scope element in an application in which Mule processes a message payload as a batch of records. The term batch job is inclusive of all three phases of processing: Load and Dispatch, Process, and On Complete.
* A batch job instance is an occurrence in a Mule application whenever a Mule flow executes a batch job. Mule creates the batch job instance in the Load and Dispatch phase. Every batch job instance is identified internally using a unique String known as batch job instance id.
質問 # 48
An ABC Farms project team is planning to build a new API that is required to work with data from different domains across the organization.
The organization has a policy that all project teams should leverage existing investments by reusing existing APIs and related resources and documentation that other project teams have already developed and deployed.
To support reuse, where on Anypoint Platform should the project team go to discover and read existing APIs, discover related resources and documentation, and interact with mocked versions of those APIs?
- A. Design Center
- B. Runtime Manager
- C. Anypoint Exchange
- D. API Manager
正解：C
解説：
The mocking service is a feature of Anypoint Platform and runs continuously. You can run the mocking service from the text editor, the visual editor, and from Anypoint Exchange. You can simulate calls to the API in API Designer before publishing the API specification to Exchange or in Exchange after publishing the API specification.
質問 # 49
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. Object Store connector
- B. VM connector
- C. File connector
- D. SFTP connector
正解：D
解説：
* Object Store and VM Store is used for sharing data inter or intra mule applications in same setup. Can't be used with external Business Partner
* Also File connector will not be useful as the two companies currently have no shared IT infrastructure. It's specific for local use.
* Correct answer is SFTP connector. The SFTP Connector implements a secure file transport channel so that your Mule application can exchange files with external resources. SFTP uses the SSH security protocol to transfer messages. You can implement the SFTP endpoint as an inbound endpoint with a one-way exchange pattern, or as an outbound endpoint configured for either a one-way or request-response exchange pattern.
質問 # 50
An API has been updated in Anypoint Exchange by its API producer from version 3.1.1 to 3.2.0 following accepted semantic versioning practices and the changes have been communicated via the API's public portal. The API endpoint does NOT change in the new version. How should the developer of an API client respond to this change?
- A. The API producer should be contacted to understand the change to existing functionality.
- B. The API client code ONLY needs to be changed if it needs to take advantage of new features.
- C. The API producer should be requested to run the old version in parallel with the new one.
- D. The update should be identified as a project risk and full regression testing of the functionality that uses this API should be run.
正解：B
解説：
* Semantic Versioning is a 3-component number in the format of X.Y.Z, where :
X stands for a major version.
Y stands for a minor version:
Z stands for a patch.
So, SemVer is of the form Major.Minor.Patch Coming to our question , minor version of the API has been changed which is backward compatible. Hence there is no change required on API client end. If they want to make use of new featured that have been added as a part of minor version change they may need to change code at their end. Hence correct answer is The API client code ONLY needs to be changed if it needs to take advantage of new features.
質問 # 51
An Organization has previously provisioned its own AWS VPC hosting various servers. The organization now needs to use Cloudhub to host a Mule application that will implement a REST API once deployed to Cloudhub, this Mule application must be able to communicate securely with the customer-provisioned AWS VPC resources within the same region, without being interceptable on the public internet.
What Anypoint Platform features should be used to meet these network communication requirements between Cloudhub and the existing customer-provisioned AWS VPC?
- A. Add a Mulesoft hosted Anypoint VPC configured and with VPC Peering to the AWS VPC
- B. Add a default API Whitelisting policy to API Manager to automatically whitelist the customer provisioned AWS VPC IP ranges needed by the Mule applicaton
- C. Configure an external identity provider (IDP) in Anypoint Platform with certificates from the customer provisioned AWS VPC
- D. Use VM queues in the Mule application to allow any non-mule assets within the customer provisioned AWS VPC to subscribed to and receive messages
正解：A
解説：
Correct answer is: Add a Mulesoft hosted Anypoint VPC configured and with VPC Peering to the AWS VPC
* Connecting to your Anypoint VPC extends your corporate network and allows CloudHub workers to access resources behind your corporate firewall.
* You can connect on-premises data centers through a secured VPN tunnel, or a private AWS VPC through VPC peering, or by using AWS Direct Connect.
MuleSoft Doc Reference : https://docs.mulesoft.com/runtime-manager/virtual-private-cloud
質問 # 52
A stock trading company handles millions of trades a day and requires excellent performance and reliability within its stock trading system. The company operates a number of event-driven APIs Implemented as Mule applications that are hosted on various customer-hosted Mule clusters and needs to enable message exchanges between the APIs within their internal network using shared message queues.
What is an effective way to meet the cross-cluster messaging requirements of its event-driven APIs?
- A. extended Architecture (XA) transactions and XA connected components with manual acknowledgements
- B. Non-transactional JMS operations with a reliability pattern and manual acknowledgements
- C. Persistent VM queues with automatic acknowledgements
- D. JMS transactions with automatic acknowledgements
正解：B
質問 # 53
An organization is successfully using API led connectivity, however, as the application network grows, all the manually performed tasks to publish share and discover, register, apply policies to, and deploy an API are becoming repetitive pictures driving the organization to automate this process using efficient CI/'CD pipeline.
Considering Anypoint platforms capabilities how should the organization approach automating is API lifecycle?
- A. Use Anypoint CLI or Anypoint Platform REST apis with scripting language such as groovy
- B. Use runtime manager rest apis for API management and mavenforAPI deployment
- C. Use Maven with a custom configuration required for the API lifecycle
- D. Use Exchange rest api's for API management and MavenforAPI deployment
正解：A
解説：
To automate the API lifecycle in a CI/CD pipeline efficiently, leveraging Anypoint Platform's capabilities is crucial. Anypoint CLI (Command Line Interface) and Anypoint Platform REST APIs provide robust tools for managing various aspects of the API lifecycle, such as publishing, sharing, discovering, registering, applying policies, and deploying APIs. By using these tools with a scripting language like Groovy, you can script and automate these tasks to reduce manual intervention, ensuring consistency and efficiency.
Anypoint CLI allows you to interact with the Anypoint Platform from the command line, enabling automated deployments, management of APIs, and configuration of policies. The Anypoint Platform REST APIs provide comprehensive programmatic access to the platform's functionalities, allowing for seamless integration into CI
/CD pipelines. By combining these with a scripting language, you can create scripts that automate repetitive tasks, streamline processes, and ensure that your API lifecycle management is both efficient and reliable.
References:
* MuleSoft Documentation on Anypoint CLI
* MuleSoft Documentation on Anypoint Platform REST APIs
質問 # 54
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