MCIA-Level-1問題集を掴み取れ！[最新2024]MuleSoft試験合格させます [Q149-Q170]

MCIA-Level-1問題集を掴み取れ！[最新2024]MuleSoft試験合格させます

MCIA-Level-1試験問題集PDF正確率保証と更新された問題

Mulesoft Certified Integration Architect-レベル1（MCIA-LEVEL-1）試験は、MulesoftのAnyPointプラットフォームを使用して統合ソリューションを設計および構築する候補者の知識とスキルをテストするように設計されています。これは、効率的でスケーラブルで安全な統合ソリューションを作成する際の専門家の専門知識を実証する業界で認識されている認定です。

 

質問 # 149
A system API EmployeeSAPI is used to fetch employee's data from an underlying SQL database.
The architect must design a caching strategy to query the database only when there is an update to the employees stable or else return a cached response in order to minimize the number of redundant transactions being handled by the database.
What must the architect do to achieve the caching objective?

• A. Use a Scheduler with a fixed frequency every hour triggering an invalidate cache flow Use an object store caching strategy and set expiration interval to 1-hour
• B. Use a Scheduler with a fixed frequency every hour triggering an invalidate cache flow Use an object store caching strategy and expiration interval to empty
• C. Use an On Table Row on employees table and call invalidate cache
  Use an object store caching strategy and expiration interval to empty
• D. Use an on table rule on employees table call invalidate cache and said new employees data to cache Use an object store caching strategy and set expiration interval to 1-hour

正解：C

質問 # 150
Refer to the exhibit.

An organization is sizing an Anypoint VPC for the non-production deployments of those Mule applications that connect to the organization's on-premises systems. This applies to approx. 60 Mule applications. Each application is deployed to two CloudHub i workers. The organization currently has three non-production environments (DEV, SIT and UAT) that share this VPC. The AWS region of the VPC has two AZs.
The organization has a very mature DevOps approach which automatically progresses each application through all non-production environments before automatically deploying to production. This process results in several Mule application deployments per hour, using CloudHub's normal zero-downtime deployment feature.
What is a CIDR block for this VPC that results in the smallest usable private IP address range?

• A. 10.0.0.0/26 (64 IPS)
• B. 10.0.0.0/24 (256 IPs)
• C. 10.0.0.0/22 (1024 IPs)
• D. 10.0.0.0/25 (128 IPs)

正解：C

質問 # 151
A Mule application currently writes to two separate SQL Server database instances across the internet using a single XA transaction. It is 58. proposed to split this one transaction into two separate non-XA transactions with no other changes to the Mule application.
What non-functional requirement can be expected to be negatively affected when implementing this change?

• A. Response time
• B. Consistency
• C. Throughput
• D. Availability

正解：B

解説：
Correct answer is Consistency as XA transactions are implemented to achieve this. XA transactions are added in the implementation to achieve goal of ACID properties. In the context of transaction processing, the acronym ACID refers to the four key properties of a transaction: atomicity, consistency, isolation, and durability. Atomicity : All changes to data are performed as if they are a single operation. That is, all the changes are performed, or none of them are. For example, in an application that transfers funds from one account to another, the atomicity property ensures that, if a debit is made successfully from one account, the corresponding credit is made to the other account. Consistency : Data is in a consistent state when a transaction starts and when it ends.For example, in an application that transfers funds from one account to another, the consistency property ensures that the total value of funds in both the accounts is the same at the start and end of each transaction. Isolation : The intermediate state of a transaction is invisible to other transactions. As a result, transactions that run concurrently appear to be serialized. For example, in an application that transfers funds from one account to another, the isolation property ensures that another transaction sees the transferred funds in one account or the other, but not in both, nor in neither. Durability : After a transaction successfully completes, changes to data persist and are not undone, even in the event of a system failure. For example, in an application that transfers funds from one account to another, the durability property ensures that the changes made to each account will not be reversed. MuleSoft reference: https://docs.mulesoft.com/mule-runtime/4.3/xa-transactions

質問 # 152
A company is implementing a new Mule application that supports a set of critical functions driven by a rest API enabled, claims payment rules engine hosted on oracle ERP. As designed the mule application requires many data transformation operations as it performs its batch processing logic.
The company wants to leverage and reuse as many of its existing java-based capabilities (classes, objects, data model etc.) as possible What approach should be considered when implementing required data mappings and transformations between Mule application and Oracle ERP in the new Mule application?

• A. From the mule application, transform via theXSLT model
• B. Transform by calling any suitable Java class from Dataweave
• C. Invoke any of the appropriate Java methods directly, create metadata RAML classes and then perform required transformations via Dataweave
• D. Create a new metadata RAML classes in Mule from the appropriate Java objects and then perform transformations via Dataweave

正解：B

解説：
Leveraging existing Java-based capabilities for data transformations in a Mule application can enhance efficiency and reuse. Here's how to integrate Java classes for transformations:
* Create Java Classes:
* Ensure the Java classes that contain the transformation logic are available in the Mule application project.
* Compile the Java classes if they are not already compiled and place the .class files or JAR file in the Mule project's classpath.
* Configure DataWeave to Call Java Methods:
* Use DataWeave's capability to invoke Java methods within the transformation scripts.
* Import the Java classes and methods in the DataWeave script.
%dw 2.0 import * from my.package.ClassName output application/json --- { transformedData:
ClassName::methodName(payload) }
* Perform Transformations:
* Write DataWeave scripts that call the appropriate Java methods to perform the necessary transformations.
* Ensure the input and output types match between DataWeave and the Java methods.
* Test Transformations:
* Thoroughly test the transformations to ensure the Java methods are correctly invoked and the expected transformations are applied.
This approach allows for seamless integration of existing Java logic into Mule applications, leveraging DataWeave's power for comprehensive data transformations.
References
* MuleSoft Documentation: DataWeave and Java Integration
* MuleSoft Documentation: Using Java with Mule

質問 # 153
Refer to the exhibit.

What is the type data format shown in the exhibit?

• A. YAML
• B. XML
• C. CSV
• D. JSON

正解：A

解説：
The data format shown in the exhibit is YAML (YAML Ain't Markup Language). YAML is a human-readable data serialization standard that is commonly used for configuration files and data exchange between languages with different data structures. In the exhibit, the indentation and the use of colons to define key-value pairs are characteristic of YAML.
JSON (JavaScript Object Notation) and XML (eXtensible Markup Language) have different syntax structures, and CSV (Comma-Separated Values) is a flat file format that uses commas to separate values. The format shown in the exhibit fits the structure and style of YAML.
References
* YAML Specification Documentation
* MuleSoft Documentation on Supported Data Formats

質問 # 154
What is required before an API implemented using the components of Anypoint Platform can be managed and governed (by applying API policies) on Anypoint Platform?

• A. A RAML definition of the API must be created in API designer so it can then be published to Anypoint Exchange
• B. The API must be shared with the potential developers through an API portal so API consumers can interact with the API
• C. The API implementation source code must be committed to a source control management system (such as GitHub)
• D. The API must be published to Anypoint Exchange and a corresponding API instance ID must be obtained from API Manager to be used in the API implementation

正解：D

解説：
Context of the question is about managing and governing mule applications deployed on Anypoint platform.
Anypoint API Manager (API Manager) is a component of Anypoint Platform that enables you to manage, govern, and secure APIs. It leverages the runtime capabilities of API Gateway and Anypoint Service Mesh, both of which enforce policies, collect and track analytics data, manage proxies, provide encryption and authentication, and manage applications.
Mule Ref Doc : https://docs.mulesoft.com/api-manager/2.x/getting-started-proxy

質問 # 155
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 replacement replica will be available and will be process all 1,00,000 records from scratch leading to duplicate record processing
• C. A new placement replica will be available and will take or processing the remaining 99,000 records
• D. The second replicas will take over processing the remaining
  99000 records

正解：D

質問 # 156
An organization's security policies mandate complete control of the login credentials used to log in to Anypoint Platform. What feature of Anypoint Platform should be used to meet this requirement?

• A. Enterprise Security Module
• B. Client ID Secret
• C. Federated Identity Management
• D. Federated Client Management

正解：C

解説：
Correct answer is Federated Identity Management As the Anypoint Platform organization administrator, you can configure identity management in Anypoint Platform to set up users for single sign-on (SSO). Configure identity management using one of the following single sign-on standards: OpenID Connect: End user identity verification by an authorization server including SSO SAML 2.0: Web-based authorization including cross-domain SSO Where as Client Management is where Anypoint Platform acts as a client provider by default, but you can also configure external client providers to authorize client applications. As an API owner, you can apply an OAuth 2.0 policy to authorize client applications that try to access your API. You need an OAuth 2.0 provider to use an OAuth 2.0 policy

質問 # 157
An organization has several APIs that accept JSON data over HTTP POST. The APIs are all publicly available and are associated with several mobile applications and web applications. The organization does NOT want to use any authentication or compliance policies for these APIs, but at the same time, is worried that some bad actor could send payloads that could somehow compromise the applications or servers running the API implementations. What out-of-the-box Anypoint Platform policy can address exposure to this threat?

• A. Shut out bad actors by using HTTPS mutual authentication for all API invocations
• B. Apply a Header injection and removal policy that detects the malicious data before it is used
• C. Apply an IP blacklist policy to all APIs; the blacklist will Include all bad actors
• D. Apply a JSON threat protection policy to all APIs to detect potential threat vectors

正解：D

解説：
We need to note few things about the scenario which will help us in reaching the correct solution.
Point 1 : The APIs are all publicly available and are associated with several mobile applications and web applications. This means Apply an IP blacklist policy is not viable option. as blacklisting IPs is limited to partial web traffic. It can't be useful for traffic from mobile application Point 2 : The organization does NOT want to use any authentication or compliance policies for these APIs.
This means we can not apply HTTPS mutual authentication scheme.
Header injection or removal will not help the purpose.
By its nature, JSON is vulnerable to JavaScript injection. When you parse the JSON object, the malicious code inflicts its damages. An inordinate increase in the size and depth of the JSON payload can indicate injection.
Applying the JSON threat protection policy can limit the size of your JSON payload and thwart recursive additions to the JSON hierarchy.
Hence correct answer is Apply a JSON threat protection policy to all APIs to detect potential threat vectors

質問 # 158
As an enterprise architect, what are the two reasons for which you would use a canonical data model in the new integration project using Mulesoft Anypoint platform ( choose two answers )

• A. To isolate areas within a bounded context
• B. To incorporate industry standard data formats
• C. To have consistent data structure aligned in processes
• D. There are multiple canonical definitions of each data type
• E. Because the model isolates the back and systems and support mule applications from change

正解：C、E

解説：
A canonical data model is used in integration projects to provide a standard way of representing data across different systems and applications. The two main reasons for using a canonical data model are:
A: To have a consistent data structure aligned in processes: By using a canonical data model, you ensure that data is represented uniformly across all processes and systems. This consistency simplifies data integration, reduces transformation logic, and minimizes errors.
E: Because the model isolates the back-end systems and supports Mule applications from change: A canonical data model abstracts the underlying data structures of the back-end systems. This isolation means that changes in the back-end systems do not directly affect the Mule applications. The applications interact with the canonical model, and any required transformations are handled centrally, making the system more adaptable to changes.
Implementation Steps:
* Design the Canonical Data Model:
* Identify the common data elements and structures used across different systems.
* Define a unified schema that represents these elements in a consistent manner.
* Implement Data Transformation Logic:
* Use MuleSoft DataWeave to transform data between the canonical model and the specific formats required by each system.
* Centralize the transformation logic to simplify maintenance and updates.
* Integrate with Mule Applications:
* Ensure all Mule applications use the canonical data model for data exchange.
* Modify existing applications to transform data to and from the canonical model.
Using a canonical data model improves data consistency and system flexibility, making it a valuable approach in integration projects.
References:
* MuleSoft Documentation: DataWeave
* MuleSoft Documentation: Integration Best Practices

質問 # 159
What metrics about API invocations are available for visualization in custom charts using Anypoint Analytics?

• A. Request size, number of requests, response size, response time
• B. Request size, number of requests, JDBC Select operation result set size
• C. Request size, request HTTP verbs, response time
• D. Request size, number of requests, JDBC Select operation response time

正解：A

解説：
Correct answer is Request size, number of requests, response size, response time Analytics API Analytics can provide insight into how your APIs are being used and how they are performing. From API Manager, you can access the Analytics dashboard, create a custom dashboard, create and manage charts, and create reports. From API Manager, you can get following types of analytics: - API viewing analytics - API events analytics - Charted metrics in API Manager It can be accessed using: http://anypoint.mulesoft.com/analytics API Analytics provides a summary in chart form of requests, top apps, and latency for a particular duration.
The custom dashboard in Anypoint Analytics contains a set of charts for a single API or for all APIs Each chart displays various API characteristics
- Requests size: Line chart representing size of requests in KBs
- Requests : Line chart representing number of requests over a period
- Response size : Line chart representing size of response in KBs
- Response time :Line chart representing response time in ms
* To check this, You can go to API Manager > Analytics > Custom Dashboard > Edit Dashboard > Create Chart > Metric

Reference:
Additional Information:
The default dashboard contains a set of charts
- Requests by date: Line chart representing number of requests
- Requests by location: Map chart showing the number of requests for each country of origin
- Requests by application: Bar chart showing the number of requests from each of the top five registered applications
- Requests by platform: Ring chart showing the number of requests broken down by platform

質問 # 160
An organization has decided on a cloudhub migrationstrategy that aims to minimize the organizations own IT resources. Currently, the organizational has all of its Mule applications running on its own premises and uses an premises load balancer that exposes all APIs under the base URL https://api.acme.com As part of the migration strategy, the organization plans to migrate all of its Mule applications and load balancer to cloudhub What is the most straight-forward and cost effective approach to the Mule applications deployment and load balancing that preserves the public URLs?

• A. For each migrated Mule application, deploy an API proxy Mule application to Cloudhub with all applications under the control of a dedicated load balancer(CLB) Update the CNAME record for api.acme.com in the organization DNS server pointing to the A record of a cloudhub dedicated load balancer(DLB) Apply mapping rules in the DLB to map each API proxy application to its corresponding Mule applications
• B. Deploy the Mule applications to Cloudhub
  Update the CNAME record for api.acme.com in the organization DNS server pointing to the A record of the cloudhub shared load balancer(SLB) Apply mapping rules in the SLB to map URLs to their corresponding Mule applications.
• C. Deploy the Mule applications to Cloudhub
  Create CNAME record for api.acme.com in the Cloudhub Shared load balancer (SLB) pointing to the A record of the on-premise load balancer Apply mapping rules in the SLB to map URLs to their corresponding Mule applications
• D. Deploy the Mule applications to Cloudhub
  Update the CNAME record for an api.acme.com in the organizations DNS server pointing to the A record of a cloudhub dedicated load balancer(DLB) Apply mapping rules in the DLB to map URLs totheir corresponding Mule applications

正解：D

解説：
Explanation
https://help.mulesoft.com/s/feed/0D52T000055pzgsSAA.

質問 # 161
Mule application A receives a request Anypoint MQ message REQU with a payload containing a variable- length list of request objects. Application A uses the For Each scope to split the list into individual objects and sends each object as a message to an Anypoint MQ queue.
Service S listens on that queue, processes each message independently of all other messages, and sends a response message to a response queue.
Application A listens on that response queue and must in turn create and publish a response Anypoint MQ message RESP with a payload containing the list of responses sent by service S in the same order as the request objects originally sent in REQU.
Assume successful response messages are returned by service S for all request messages.
What is required so that application A can ensure that the length and order of the list of objects in RESP and REQU match, while at the same time maximizing message throughput?

• A. Use a Scatter-Gather within the For Each scope to ensure response message order Configure the Scatter-Gather with a persistent object store
• B. Perform all communication involving service S synchronously from within the For Each scope, so objects in RESP are in the exact same order as request objects in REQU
• C. Keep track of the list length and all object indices in REQU, both in the For Each scope and in all communication involving service. Use persistent storage when creating RESP
• D. Use an Async scope within the For Each scope and collect response messages in a second For Each scope in the order in which they arrive, then send RESP using this list of responses

正解：A

質問 # 162
An IT integration tram followed an API-led connectivity approach to implement an order-fulfillment business process. It created an order processing AP that coordinates stateful interactions with a variety of microservices that validate, create, and fulfill new product orders Which interaction composition pattern did the integration architect who designed this order processing AP| use?

• A. Aggregation
• B. Multicasting
• C. Streaming
• D. Orchestration

正解：D

質問 # 163
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. Object Store connector
• C. File connector
• D. VM connector

正解：C

質問 # 164
An organization is implementing a Quote of the Day API that caches today's quote. What scenario can use the CloudHub Object Store connector to persist the cache's state?

• A. When there is one CloudHub deployment of the API implementation to three workers that must share the cache state.
• B. When there is one deployment of the API implementation to CloudHub and another one to customer hosted mule runtime that must share the cache state.
• C. When there are two CloudHub deployments of the API implementation by two Anypoint Platform business groups to the same CloudHub region that must share the cache state.
• D. When there are three CloudHub deployments of the API implementation to three separate CloudHub regions that must share the cache state.

正解：A

解説：
Object Store Connector is a Mule component that allows for simple key-value storage. Although it can serve a wide variety of use cases, it is mainly design for: - Storing synchronization information, such as watermarks. - Storing temporal information such as access tokens. - Storing user information. Additionally, Mule Runtime uses Object Stores to support some of its own components, for example: - The Cache module uses an Object Store to maintain all of the cached data. - The OAuth module (and every OAuth enabled connector) uses Object Stores to store the access and refresh tokens. Object Store data is in the same region as the worker where the app is initially deployed. For example, if you deploy to the Singapore region, the object store persists in the Singapore region. MuleSoft Reference : https://docs.mulesoft.com/object-store-connector/1.1/ Data can be shared between different instances of the Mule application. This is not recommended for Inter Mule app communication. Coming to the question, object store cannot be used to share cached data if it is deployed as separate Mule applications or deployed under separate Business Groups. Hence correct answer is When there is one CloudHub deployment of the API implementation to three workers that must share the cache state.

質問 # 165
Refer to the exhibit.

One of the backend systems invoked by an API implementation enforces rate limits on the number of requests a particular client can make. Both the backend system and the API implementation are deployed to several non-production environments in addition to production.
Rate limiting of the backend system applies to all non-production environments. The production environment, however, does NOT have any rate limiting.
What is the most effective approach to conduct performance tests of the API implementation in a staging (non-production) environment?

• A. Use MUnit to simulate standard responses from the backend system then conduct performance tests to identify other bottlenecks in the system
• B. Conduct scaled-down performance tests in the staging environment against the rate limited backend system then upscale performance results to full production scale
• C. Create a mocking service that replicates the backend system's production performance characteristics.
  Then configure the API implementation to use the mocking service and conduct the performance tests
• D. Include logic within the API implementation that bypasses invocations of the backend system in a performance test situation. Instead invoking local stubs that replicate typical backend system responses then conduct performance tests using this API Implementation

正解：C

質問 # 166
Which Anypoint Platform component should a MuleSoft developer use to create an API specification prior to building the API implementation?

• A. API Designer
• B. API Manager
• C. MUnit
• D. Runtime Manager

正解：A

質問 # 167
An airline is architecting an API connectivity project to integrate its flight data into an online aggregation website. The interface must allow for secure communication high-performance and asynchronous message exchange.
What are suitable interface technologies for this integration assuming that Mulesoft fully supports these technologies and that Anypoint connectors exist for these interfaces?

• A. SOAP over HTTPS HOP over TLS gRPC over HTTPS
• B. AsyncAPI over HTTPS
  AMQP with RabbitMQ JSON/REST over HTTPS
• C. CSV over FTP YAM L over TLS JSON over HTTPS
• D. XML over ActiveMQ XML over SFTP XML/REST over HTTPS

正解：B

質問 # 168
A Mule application is being designed To receive nightly a CSV file containing millions of records from an external vendor over SFTP, The records from the file need to be validated, transformed. And then written to a database. Records can be inserted into the database in any order.
In this use case, what combination of Mule components provides the most effective and performant way to write these records to the database?

• A. Use a Batch job scope to bulk insert records into the database.
• B. Use a Parallel for Each scope to Insert records one by one into the database
• C. Use a DataWeave map operation and an Async scope to insert records one by one into the database.
• D. Use a Scatter-Gather to bulk insert records into the database

正解：A

解説：
Correct answer is Use a Batch job scope to bulk insert records into the database
* Batch Job is most efficient way to manage millions of records.
A few points to note here are as follows :
Reliability: If you want reliabilty while processing the records, i.e should the processing survive a runtime crash or other unhappy scenarios, and when restarted process all the remaining records, if yes then go for batch as it uses persistent queues.
Error Handling: In Parallel for each an error in a particular route will stop processing the remaining records in that route and in such case you'd need to handle it using on error continue, batch process does not stop during such error instead you can have a step for failures and have a dedicated handling in it.
Memory footprint: Since question said that there are millions of records to process, parallel for each will aggregate all the processed records at the end and can possibly cause Out Of Memory.
Batch job instead provides a BatchResult in the on complete phase where you can get the count of failures and success. For huge file processing if order is not a concern definitely go ahead with Batch Job

質問 # 169
An organization is choosing between API-led connectivity and other integration approaches.
According to MuleSoft, which business benefits is associated with an API-led connectivity approach using Anypoint Platform?

• A. Increased developer productivity through sell-service of API assets
• B. improved security through adoption of monolithic architectures
• C. Greater project predictability through tight coupling of systems
• D. Higher outcome repeatability through centralized development

正解：A

解説：
According to MuleSoft, a significant business benefit associated with an API-led connectivity approach using Anypoint Platform is increased developer productivity through self-service of API assets. API-led connectivity promotes the creation of reusable APIs that can be easily discovered and consumed by developers across the organization. This self-service model reduces dependencies, accelerates development, and fosters innovation by enabling teams to quickly build and integrate applications using existing APIs without waiting for central IT to provide access.
References:
* API-led Connectivity: The Key to Unlocking IT Agility
* Benefits of API-led Connectivity

質問 # 170
......

最新をゲットせよ！MCIA-Level-1認定練習テスト問題 試験問題集：https://www.goshiken.com/MuleSoft/MCIA-Level-1-mondaishu.html