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S90.08B인기덤프 & S90.08B시험대비덤프최신데모

  • Posted by zuz pop May 6, 2023 Filed in Technology #S90.08B인기덤프  #S90.08B시험대비 덤프 최신 데모  #S90.08B최신기출자료  #S90.08B유효한 덤프문제  #S90.08B최신 덤프데모 다운로드  16 views
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    다른 사이트에서도SOA S90.08B인증시험관련 자료를 보셨다고 믿습니다.하지만 우리 Pass4Test의 자료는 차원이 다른 완벽한 자료입니다.100%통과 율은 물론Pass4Test을 선택으로 여러분의 직장생활에 더 낳은 개변을 가져다 드리며 ,또한Pass4Test를 선택으로 여러분은 이미 충분한 시험준비를 하였습니다.우리는 여러분이 한번에 통과하게 도와주고 또 일년무료 업데이트서비스도 드립니다.

    Pass4Test의 경험이 풍부한 전문가들이SOA S90.08B인증시험관련자료들을 계획적으로 페펙트하게 만들었습니다.SOA S90.08B인증시험응시에는 딱 좋은 자료들입니다. Pass4Test는 최고의 덤프만 제공합니다. 응시 전SOA S90.08B인증시험덤프로 최고의 시험대비준비를 하시기 바랍니다.

    >> S90.08B인기덤프 <<

    S90.08B 덤프자료 & S90.08B 덤프문제 & S90.08B 시험자료

    SOA인증 S90.08B시험을 패스하기 위하여 잠을 설쳐가며 시험준비 공부를 하고 계신 분들은 이 글을 보는 즉시 공부방법이 틀렸구나 하는 생각이 들것입니다. Pass4Test의SOA인증 S90.08B덤프는 실제시험을 대비하여 제작한 최신버전 공부자료로서 문항수도 적합하여 불필요한 공부는 하지 않으셔도 되게끔 만들어져 있습니다.가격도 착하고 시험패스율 높은Pass4Test의SOA인증 S90.08B덤프를 애용해보세요. 놀라운 기적을 안겨드릴것입니다.

    SOA S90.08B 인증 시험을 준비하기 위해서는 응시자가 강력한 배경 지식과 서비스 지향 설계 원칙 및 아키텍처에 대한 확실한 이해를 가져야합니다. 응시자는 또한 교육 과정을 수강하고 샘플 시험 질문을 통해 시험 준비를 완전히 준비 할 수 있습니다. IT 전문가는 SOA S90.08B 인증 시험을 통과함으로써 SOA 디자인 및 건축에 대한 전문 지식을 입증하고 경력 발전을위한 새로운 기회를 열 수 있습니다.

    최신 Certified SOA Architect S90.08B 무료샘플문제 (Q12-Q17):

    질문 # 12

    Services A, B, and C are non-agnostic task services. Service A and Service B use the same shared state database to defer their state data at runtime.
    An assessment of the three services reveals that each contains some agnostic logic that cannot be made available for reuse because it is bundled together with non-agnostic logic.
    The assessment also determines that because Service A, Service B and the shared state database are each located in physically separate environments, the remote communication required for Service A and Service B to interact with the shared state database is causing an unreasonable decrease in runtime performance.
    How can the application of the Orchestration pattern improve this architecture?

    • A. The application of the Orchestration pattern will result in an environment whereby the non-agnostic logic can be cleanly separated from the agnostic logic that exists in Services A, B, and C, resulting in theneed to design new agnostic services with reuse potential assured through the application of the Service Reusability principle. The State Repository pattern, which is supported by and local to the orchestration environment, provides a central state database that can be shared by Services A and B. The local state database avoids problems with remote communication.
    • B. The application of the Orchestration pattern will result in an environment whereby the Official Endpoint, State Repository, and Service Data Replication patterns are automatically applied, allowing the shared state database to be replicated via official service endpoints for Services A and B so that each task service can have its own dedicated state database.
    • C. The Orchestration pattern is not applicable to this architecture because it does not support the hosting of the required state repository.
    • D. The application of the Orchestration pattern will result in an environment whereby the Compensating Service Transaction is automatically applied, resulting In the opportunity to create sophisticated exception logic that can be used to compensate for the performance problems caused by Services A and B having to remotely access the state database. The API Gateway and Service Broker patterns are also automatically applied, providing common transformation functions in a centralized processing layer to help overcome any disparity in the service contracts that will need to be created for the new agnostic services.

    정답：A

    설명：
    Explanation
    The application of the Orchestration pattern can improve this architecture by cleanly separating the non-agnostic logic from the agnostic logic, allowing the design of new agnostic services with reuse potential.
    The State Repository pattern, which is supported by and local to the orchestration environment, provides a central state database that can be shared by Services A and B. The local state database avoids problems with remote communication. Additionally, the Orchestration pattern provides a central controller that can coordinate the interactions between Services A, B, and C, reducing the need for remote communication between services and improving runtime performance.


    질문 # 13

    Service A is a utility service that provides generic data access logic to a database containing data that is periodically replicated from a shared database (1). Because the Standardized Service Contract principle was applied to the design of Service A, its service contract has been fully standardized.
    The service architecture of Service A Is being accessed by three service consumers. Service Consumer A accesses a component that is partof the Service A Implementation by Invoking it directly (2). Service Consumer B invokes Service A by accessing Its service contract (3). Service Consumer C directly accesses the replicated database that Is part of the Service A Implementation (4).
    You've been told that the reason Service Consumers A and C bypass the published Service A service contract is because, for security reasons, they are not allowed to access a subset of the capabilities inthe API that comprises the Service A service contract. How can the Service A architecture be changed to enforce these security restrictions while avoiding negative forms of coupling?

    • A. The Contract Centralization pattern can be applied to force service consumers to access the Service A architecture via its published service contract only. The Idempotent Capability pattern can be applied to Service A to establish alternative sets of service capabilities for service consumers with different levels of authorization.
    • B. The Contract Centralization pattern can be applied to force service consumers to access the Service A architecture via its published service contract only. The Concurrent Contracts pattern can be applied to Service A in order to establish one or more alternative service contracts. This allows service consumers with different levels of authorization to access different types of service logic via Service A's published service contracts.
    • C. The Contract Centralization pattern can be applied to force all service consumers to access the Service A architecture via its published service contract. This will prevent negative forms of coupling that could lead to problems when the database is replaced. The Service Abstraction principle can then be applied to hide underlying service architecture details so that future service consumers cannot be designed to access any part of the underlying service implementation.
    • D. The Contract Centralization pattern can be applied to force service consumers to access the Service A architecture via its published service contract only. The Service Loose Coupling principle can then be applied to ensure that the centralized service contract does not contain any content that is dependent on or derived from the underlying service implementation.

    정답：D

    설명：
    Explanation
    The Contract Centralization pattern can be applied to force service consumers to access the Service A architecture via its published service contract only. The Service Loose Coupling principle can then be applied to ensure that the centralized service contract does not contain any content that is dependent on or derived from the underlying service implementation. This will enforce the security restrictions while avoiding negative forms of coupling. By ensuring loose coupling, changes to the implementation of Service A will not require changes to its published service contract, making it easier to maintain and evolve the service.


    질문 # 14
    Refer to Exhibit.

    Service A sends a message to Service B (1). After Service B writes the message contents to Database A (2), it issues a response message back to Service A (3). Service A then sends a message to Service C (4). Upon receiving this message, Service C sends a message to Service D (5), which then writes the message contents to Database Band issues a response message back to Service C (7).
    Service A and Service D are located in Service Inventory A. Service B and Service C are located in Service Inventory B.
    You are told that In this service composition architecture, all four services are exchanging invoice-related data in an XML format. However, the services in Service Inventory A are standardized to use a different XML schema for invoice data than the services in Service Inventory B. Also, Database A can only accept data in the Comma Separated Value (CSV) format and therefore cannot accept XML-formatted data. Database B only accepts XML-formatted data. However, it is a legacy database that uses a proprietary XML schema to represent invoice data that is different from the XML schema used by services in Service Inventory A or Service Inventory B.
    What steps can be taken to enable the planned data exchange between these four services?

    • A. The Protocol Bridging pattern can be applied so that protocol conversion logic is positioned between Service A and Service B, between Service A and Service C, and between Service C and Service D. The Data Format Transformation pattern can be applied so that data format transformation logic is positioned between the Service B logic and Database A and between the Service D logic and Database B.
    • B. The Data Model Transformation pattern can be applied so that data model transformation logic is positioned between Service A and Service B, between Service A and Service C, between Service C and Service D, and between the Service D logic and Database B. The Data Format Transformation pattern can be applied so that data format transformation logic is positioned between the Service B logic and Database A.
    • C. The Data Model Transformation pattern can be applied so that data model transformation logic is positioned between Service A and Service B, between Service C and Service D, and between the Service D logic and Database B. The Data Format Transformation pattern can be applied so that data format transformation logic is positioned between Service A and Service C, and between the Service B logic and Database A.
    • D. The Protocol Bridging pattern can be applied so that protocol conversion logic is positioned between the Service B logic and Database A. The Data Format Transformation pattern can be applied so that data format transformation logic is positioned between Service A and Service B, between Service A and Service C, between Service C and Service D, and between the Service D logic and Database B.

    정답：B

    설명：
    This solution addresses the two main challenges in the service composition architecture: the different XML schema used by services in Service Inventory A and Service Inventory B, and the incompatible data formats of the two databases.
    By applying the Data Model Transformation pattern, data model transformation logic can be inserted to map the invoice-related data between the different XML schemas used by the services in Service Inventory A and Service Inventory B. This can be done at the appropriate points in the message flow: between Service A and Service B, between Service A and Service C, between Service C and Service D, and between the Service D logic and Database B.
    By applying the Data Format Transformation pattern, data format transformation logic can be inserted to convert the XML-formatted data used by the services to the CSV format required by Database A, and to convert the proprietary XML schema used by Database B to the XML schema used by the services. This can be done between the Service B logic and Database A.
    The Protocol Bridging pattern is not necessary in this case because all services are already communicating using the same protocol (presumably HTTP or a similar protocol).


    질문 # 15
    Refer to Exhibit.

    Service A is an entity service that provides a set of generic and reusable service capabilities. In order to carry out the functionality of any one of its service capabilities, Service A is required to compose Service B (1) and Service C (2), and Service A is required to access Database A (3), Database B (4), and Database C (5). These three databases are shared by other applications within the IT enterprise.
    All of service capabilities provided by Service A are synchronous, which means that for each request a service consumer makes, Service A is required to issue a response message after all of the processing has completed.
    Service A is one of many entity services that reside In a highly normalized service Inventory. Because Service A provides agnostic logic, it is heavily reused and is currently part of many service compositions.
    You are told that Service A has recently become unstable and unreliable. The problem has been traced to two issues with the current service architecture. First, Service B, which Is also an entity service, is being increasingly reused and has itself become unstable and unreliable. When Service B fails, the failure is carried over to Service A.
    Secondly, shared Database B has a complex data model. Some of the queries issued by Service A to shared Database B can take a very long time to complete.
    What steps can be taken to solve these problems without compromising the normalization of the service inventory?

    • A. The Redundant Implementation pattern can be applied to Service B, thereby making duplicate deployments of the service available. This way, when one implementation of Service B is too busy, another implementation can be accessed by Service A instead. The Data Model Transformation pattern can be applied to establish a dedicated database that contains an exact copy of the data from shared Database B that is required by Service A.
    • B. The Redundant Implementation pattern can be applied to Service A, thereby making duplicate deployments of the service available. This way, when one implementation of Service A is too busy, another implementation can be accessed by service consumers instead. The Service Data Replication pattern can be applied to establish a dedicated database that contains an exact copy of the data from shared Database B that is required by Service A.
    • C. The Redundant Implementation pattern can be applied to Service A, thereby making duplicate deployments of the service available. This way, when one implementation of Service A is too busy, another implementation can be accessed by service consumers instead. The Service Statelessness principle can be applied with the help of the State Repository pattern In order to establish a state database that Service A can use to defer state data it may be required to hold for extended periods, thereby improving its availability and scalability.
    • D. The Redundant Implementation pattern can be applied to Service B, thereby making duplicate deployments of the service available. This way, when one implementation of Service B is too busy, another implementation can be accessed by Service A instead. The Service Data Replication pattern can be applied to establish a dedicated database that contains a copy of the data from shared Database B that is required by Service A. The replicated database is designed with an optimized data model to improve query execution performance.

    정답：D

    설명：
    This solution addresses both issues with the current service architecture. By applying the Redundant Implementation pattern to Service B, duplicate deployments of the service are made available, ensuring that when one implementation fails, another can be accessed by Service A. Additionally, the Service Data Replication pattern can be applied to establish a dedicated database that contains a copy of the data from shared Database B that is required by Service A. This replicated database is designed with an optimized data model to improve query execution performance, ensuring that queries issued by Service A to the database can complete more quickly, improving the overall stability and reliability of Service A. By applying these patterns, the problems with Service A can be solved without compromising the normalization of the service inventory.


    질문 # 16

    Service A is an entity service that provides a Get capability which returns a data value that is frequently changed.
    Service Consumer A invokes Service A in order to request this data value (1). For Service A to carry out this request, it must invoke Service B (2), a utility service that interacts (3, 4) with the database in which the data value is stored. Regardless of whether the data value changed, Service B returns the latest value to Service A (5), and Service A returns the latest value to Service Consumer A.
    The data value is changed when the legacy client program updates the database (7). When this change will occur is not predictable. Note also that Service A and Service B are not always available at the same time.
    Any time the data value changes, Service Consumer A needs to receive It as soon as possible. Therefore, Service Consumer A initiates the message exchange shown In the figure several times a day. When it receives the same data value as before, the response from Service A Is ignored. When Service A provides an updated data value, Service Consumer A can process it to carry out its task.
    The current service composition architecture is using up too many resources due to the repeated invocation of Service A by Service Consumer A and the resulting message exchanges that occur with each invocation.
    What steps can be taken to solve this problem?

    • A. The Asynchronous Queuing pattern can be applied so that messaging queues are established between Service A and Service B and between Service Consumer A and Service A. This way, messages are never lost due to the unavailability of Service A or Service B.
    • B. The Event-Driven Messaging pattern can be applied by establishing a subscriber-publisher relationship between Service Consumer A and Service A. This way, every time the data value is updated, an event is triggered and Service A, acting as the publisher, can notify Service Consumer A, which acts as the subscriber. The Asynchronous Queuing pattern can be applied between Service Consumer A and Service A so that the event notification message sent out by Service A will be received by Service Consumer A, even when Service Consumer A is unavailable.
    • C. The Event-Driven Messaging pattern can be applied by establishing a subscriber-publisher relationship between Service A and Service B. This way, every time the data value is updated, an event is triggered and Service B, acting as the publisher, can notify Service A, which acts as the subscriber. The Asynchronous Queuing pattern can be applied between Service A and Service B so that the event notification message sent out by Service B will be received by Service A, even when Service A is unavailable.
    • D. The Event-Driven Messaging pattern can be applied by establishing a subscriber-publisher relationship between Service Consumer A and a database monitoring agent introduced through the application of the Service Agent pattern. The database monitoring agent monitors updates made by the legacy client to the database. This way, every time the data value is updated, an event is triggered and the database monitoring agent, acting as the publisher, can notify Service Consumer A, which acts as the subscriber.
      The Asynchronous Queuing pattern can be applied between Service Consumer A and the database monitoring agent so that the event notification message sent out by the database monitoring agent will be received by Service Consumer A, even when Service Consumer A is unavailable.

    정답：C

    설명：
    Explanation
    This solution is the most appropriate one among the options presented. By using the Event-Driven Messaging pattern, Service A can be notified of changes to the data value without having to be invoked repeatedly by Service Consumer A, which reduces the resources required for message exchange. Asynchronous Queuing ensures that the event notification message is not lost due to the unavailability of Service A or Service B. This approach improves the efficiency of the service composition architecture.


    질문 # 17
    ......

    SOA인증S90.08B시험의자격증은 여러분에 많은 도움이 되리라 믿습니다. 하시는 일에서 한층 더 업그레이드될 것이고 생활에서도 분명히 많은 도움이 될 것입니다. 자격증취득 즉 재산을 얻었죠.SOA인증S90.08B시험은 여러분이 it지식테스트시험입니다. Pass4Test에서는 여러분의 편리를 위하여 Pass4Test만의 최고의 최신의SOA S90.08B덤프를 추천합니다. Pass4Test를 선택은 여러분이 최고의 선택입니다. Pass4Test는 제일 전면적인SOA S90.08B인증시험자료의 문제와 답을 가지고 잇습니다.

    S90.08B시험대비 덤프 최신 데모: https://www.pass4test.net/S90.08B.html

    SOA S90.08B인기덤프 저희 사이트에서는 한국어 온라인상담과 메일상담 서비스를 제공해드립니다, Pass4Test는SOA S90.08B덤프를 시험문제변경에 따라 계속 갱신하여 고객님께서 받은 것이SOA S90.08B 시험의 가장 최신 기출문제임을 보증해드립니다, Pass4Test S90.08B시험대비 덤프 최신 데모에서는 여러분이 IT인증자격증을 편하게 취득할수 있게 도와드리는 IT자격증시험대비시험자료를 제공해드리는 전문 사이트입니다, SOA S90.08B 덤프의 모든 문제를 외우기만 하면 시험패스가 됩니다, SOA S90.08B인기덤프 시간 도 절약하고 돈도 적게 들이는 시험대비자료는 여러분들한테 딱 좋은 해결 책이라고 봅니다.

    하지만 그 손은 도연에게 닿기 전, 다른 손에 붙잡혀 멈췄다, 언제 출근(https://www.pass4test.net/S90.08B.html)했는지, 어느새 수아의 뒤에 서 있던 지훈이 에이~ 하고 야유하면서 말했다, 저희 사이트에서는 한국어 온라인상담과 메일상담 서비스를 제공해드립니다.

    적중율 좋은 S90.08B인기덤프 덤프로 SOA Design & Architecture Lab with Services & Microservices시험 패스

    Pass4Test는SOA S90.08B덤프를 시험문제변경에 따라 계속 갱신하여 고객님께서 받은 것이SOA S90.08B 시험의 가장 최신 기출문제임을 보증해드립니다, Pass4Test에서는 여러분이 IT인증자격증을 편하게 취득할수 있게 도와드리는 IT자격증시험대비시험자료를 제공해드리는 전문 사이트입니다.

    SOA S90.08B 덤프의 모든 문제를 외우기만 하면 시험패스가 됩니다, 시간 도 절약하고 돈도 적게 들이는 시험대비자료는 여러분들한테 딱 좋은 해결 책이라고 봅니다.