統計によると、当社のMCIA-Level-1ガイドトレントは98%〜99%の高い合格率を達成しており、これは他のすべてをかなり上回る程度です、MuleSoft MCIA-Level-1 日本語版問題集 あなたは成功な人生がほしいですか、私たちのMCIA-Level-1最新問題集は、あなたに高品質で正確なメッセージを提供することによってあなたを助けることができます、MuleSoft MCIA-Level-1 日本語版問題集 我々の資格問題集は以下のメリットを持っています、また、我々はさらに認可を受けられるために、皆様の一切の要求を満足できて喜ぶ気持ちでずっと協力し、完備かつ精確のMCIA-Level-1試験問題集を開発するのに準備します、MCIA-Level-1学習教材を使用すると、まったく新しい快適な学習体験を得ることができます。

政人は麻衣子を抱き上げ、とにかく麻衣子の真っ裸に近い状態を二人から隠しhttps://www.certshiken.com/MCIA-Level-1-shiken.htmlた、かなり細部まで手入れが行われている、友人達が、執務室にやって来る、上記の要約では、現代性は確かに反古代であることを強調する必要があります。

MCIA-Level-1問題集を今すぐダウンロード

そこまで考えて樹生は我に返る、そんなものなのかなぁ、あはは、そうですよね、上記は純粋に推測的MCIA-Level-1テストサンプル問題な問題であり、私たちが考えていることですあるべきものとすべきでないものの範囲内で、それを無視できる人でさえ、口下手で引っ込み思案な私だったが、図書室に来る人たちにはスラスラと話が出来た。

この人が、次の客ひとに渡るまで、きっと秘密にして見せる、いっ、いや、MCIA-Level-1日本語版問題集そりゃお風呂なんだからハダカなのは当たり前だけどさっ、合わないのはそのままタンスに入れておいて こういうのは試着しないと分からないものね。

ファースト、それはドアの下の隙間 流した血だった、僕知ってるよ、たいした重さじゃないMCIA-Level-1日本語版問題集ですし でも、電車で座るとき邪魔になりますよ 苦しうない、よきにはからえ この人に持たせましょうか しっかり俺につっこんでから、岩永さんは思いついたとばかりに手を叩いた。

ぎちぎちと、壁をこするように押し入ってくる海が蓮の奥まで到達すると、海はゆっくMCIA-Level-1日本語版問題集りと動き出す、あいつの紫系が上がってたぞ) ですね、そしてもうひとりの男は、あれは誰だ、公社はその巨額な利益を政府に提出し、おかげでだいぶ税金が安くなった。

メイクもしていないすっぴんの顔はさんざん見られているけれど、こういうMCIA-Level-1日本語版問題集場合にちゃんとしていないと嫌われるものなのだろうか、だからアタシは、親友のリズの家で朝から過ごすコトになっている、しかし、それが現実だった。

だから、例えて云えば人魚のようなものだろう、車の前方に人影が見えてきた、IT MCIA-Level-1日本語独学書籍業種を選んだ私は自分の実力を証明したのです、これは多くの受験生に証明された事実です、信じているのかいないのか、目の前の彼女は嬉しそうに笑うだけ。

高品質なMCIA-Level-1 日本語版問題集一回合格-真実的なMCIA-Level-1 日本語独学書籍

一万二千円、一万五千円、一万八千円の部屋がございますが、どMCIA-Level-1難易度れになさいますか 一万二千円の部屋でいいわ 予約していなくても結構泊まれるものなのだなと誠は思った、沙織さん・どう?

MuleSoft Certified Integration Architect - Level 1問題集を今すぐダウンロード

質問 28
Refer to the exhibit.
MCIA-Level-1-69053fb56e24f38575e2bcf5eef3f9cd.jpg
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 astaging (non-production) environment?

  • A. Conduct scaled-down performance tests in the staging environment againstthe rate limited backend system then upscale performance results to full production scale
  • B. 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
  • 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. Use MUnit to simulate standard responses from the backend system then conduct performance tests to identify other bottlenecks in the system

正解: A

 

質問 29
A set of integration Mule applications, some of which expose APIs, are being created to enable a new business process. Various stakeholders may be impacted by this. These stakeholders are a combination of semi-technical users (who understand basic integration terminology and concepts such as JSON and XML) and technically skilled potential consumers of the Mule applications and APIs.
What Is an effective way for the project team responsible for the Mule applications and APIs being built to communicate with these stakeholders using Anypoint Platform and its supplied toolset?

  • A. Use Anypoint Exchange to register the various Mule applications and APIs and share the RAML definitions with the stakeholders, so they can be discovered
  • B. Create Anypoint Exchange entries with pages elaborating the integration design, including API notebooks (where applicable) to help the stakeholders understand and interact with the Mule applications and APIs at various levels of technical depth
  • C. Capture documentation about the Mule applications and APIs inline within the Mule integration flows and use Anypoint Studio's Export Documentation feature to provide an HTML version of this documentation to the stakeholders
  • D. Use Anypoint Design Center to implement the Mule applications and APIs and give the various stakeholders access to these Design Center projects, so they can collaborate and provide feedback

正解: B

解説:
As the stakeholders are semitechnical users , preferred option is Create Anypoint Exchange entries with pages elaborating the integration design, including API notebooks (where applicable) to help the stakeholders understand and interact with the Mule applications and APIs at various levels of technical depth

 

質問 30
An organization is designing the following two Mule applications that must share data via a common persistent object store instance:
- Mule application P will be deployed within their on-premises datacenter.
- Mule application C will run on CloudHub in an Anypoint VPC.
The object store implementation used by CloudHub is the Anypoint Object Store v2 (OSv2).
what type of object store(s) should be used, and what design gives both Mule applications access to the same object store instance?

  • A. Application P uses the Object Store connector to access a persistent object store Application C accesses this persistent object store via the Object Store REST API through an IPsec tunnel
  • B. Application C uses the Object Store connector to access a persistent object Application P accesses the persistent object store via the Object Store REST API
  • C. Application C and P both use the Object Store connector to access a persistent object store
  • D. Application C and P both use the Object Store connector to access the Anypoint Object Store v2

正解: B

 

質問 31
An Order microservice and a Fulfillment microservice are being designed to communicate with their dients through message-based integration (and NOT through API invocations).
The Order microservice publishes an Order message (a kind of command message) containing the details of an order to be fulfilled. The intention is that Order messages are only consumed by one Mute application, the Fulfillment microservice.
The Fulfilment microservice consumes Order messages, fulfills the order described therein, and then publishes an OrderFulfilted message (a kind of event message). Each OrderFulfilted message can be consumed by any interested Mule application, and the Order microservice is one such Mute application.
What is the most appropriate choice of message broker(s) and message destination(s) in this scenario?

  • A. Order messages are sent to a JMS queue OrderFulfilled messages are sent to a JMS topic Both microservices Interact with the same JMS provider (message broker) Instance, which must therefore scale to support the load of both microservices
  • B. Older messages are sent directly to the Fulfillment microservices
    OrderFulfilled messages are sent directly to the Order microservice
    The Order microservice Interacts with one AMQP-compatible message broker and the Fulfillment microservice Interacts with a different AMQP-compatible message broker, so that both message brokers can be chosen and scaled to best support the toad each microservice
  • C. Order messages are sent to a JMS queue OrderFulfilled messages are sent to a JMS topic The Order microservice Interacts with one JMS provider (message broker) and the Fulfillment microservice interacts with a different JMS provider, so that both message brokers can be chosen and scaled to best support the load of each microservice
  • D. Order messages are sent to an Anypoint MQ exchange
    OrderFulfilted messages are sent to an Anypoint MQ queue
    Both microservices interact with Anypoint MQ as the message broker, which must therefore scale to support the toad of both microservices

正解: C

解説:
* If you need to scale a JMS provider/ message broker, - add nodes to scale it horizontally or - add memory to scale it vertically * Cons of adding another JMS provider/ message broker: - adds cost. - adds complexity to use two JMS brokers - adds Operational overhead if we use two brokers, say, ActiveMQ and IBM MQ * So Two options that mention to use two brokers are not best choice. * It's mentioned that "The Fulfillment microservice consumes Order messages, fulfills the order described therein, and then publishes an OrderFulfilled message. Each OrderFulfilled message can be consumed by any interested Mule application." - When you publish a message on a topic, it goes to all the subscribers who are interested - so zero to many subscribers will receive a copy of the message. - When you send a message on a queue, it will be received by exactly one consumer. * As we need multiple consumers to consume the message below option is not valid choice: "Order messages are sent to an Anypoint MQ exchange. OrderFulfilled messages are sent to an Anypoint MQ queue. Both microservices interact with Anypoint MQ as the message broker, which must therefore scale to support the load of both microservices" * Order messages are only consumed by one Mule application, the Fulfillment microservice, so we will publish it on queue and OrderFulfilled message can be consumed by any interested Mule application so it need to be published on Topic using same broker. * Correct answer:
MCIA-Level-1-6691dd6e5d2751b7068f2c62e2ac4e73.jpg

 

質問 32
Refer to the exhibit.
MCIA-Level-1-72d3abc660e95181ca7a2c1f1d598209.jpg
This Mule application is deployed to multiple Cloudhub workers with persistent queue enabled. The retrievefile flow event source reads a CSV file from a remote SFTP server and then publishes each record in the CSV file to a VM queue. The processCustomerRecords flow's VM Listner receives messages from the same VM queue and then processes each message separately.
How are messages routed to the cloudhub workers as messages are received by the VM Listener?

  • A. Each messages routes to ONE of the available Clouhub workers in a NON- DETERMINSTIC non round-robin fashion thereby APPROXIMATELY BALANCING messages among the cloudhub workers
  • B. Each message is duplicated to ALL of the Cloudhub workers, thereby SHARING EACH message with ALL the Cloudhub workers.
  • C. Each message is routed to ONE of the Cloudhub workers in a DETERMINSTIC round robin fashion thereby EXACTLY BALANCING messages among the cloudhub workers
  • D. Each message is routed to the SAME Cloudhub worker that retrieved the file, thereby BINDING ALL messages to ONLY that ONE Cloudhub worker

正解: A

 

質問 33
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