SOA Design & Architecture Lab Exam Dumps

S90.09A Exam Format | Course Contents | Course Outline | Exam Syllabus | Exam Objectives

Exam: S90.09A SOA Design & Architecture Lab

Exam Details:
- Number of Questions: The exam consists of practical lab exercises.
- Time: Candidates are given a specified amount of time to complete the lab exercises.

Course Outline:
The S90.09A SOA Design & Architecture Lab is a hands-on exam that assesses candidates' practical skills and knowledge in designing and architecting Service-Oriented Architecture (SOA) solutions. The course covers the following topics:

1. Service-Oriented Analysis and Design
- Requirements gathering and analysis
- Service identification and categorization
- Service contract and interface design
- Service composition and orchestration

2. Service-Oriented Architecture Principles
- Principles and patterns of service-oriented architecture
- Loose coupling and service autonomy
- Service discovery and composition
- Service performance and scalability

3. Service-Oriented Integration and Messaging
- Integration patterns and techniques
- Messaging protocols and standards
- Event-driven architecture in SOA
- Reliable messaging and transaction management

4. Service-Oriented Governance and Security
- SOA governance models and frameworks
- Policy-driven service governance
- Security patterns and mechanisms in SOA
- Privacy and compliance in SOA

Exam Objectives:
The exam aims to assess candidates' ability to perform the following tasks:

1. Apply service-oriented analysis and design techniques to identify and categorize services.
2. Design service contracts and interfaces based on requirements.
3. Apply service-oriented architecture principles and patterns in architecture design.
4. Apply integration and messaging concepts to design efficient and reliable service integration.
5. Consider governance and security principles in SOA design and architecture.

Exam Syllabus:
The exam syllabus covers the following practical lab exercises:

- Analyzing and categorizing services based on provided requirements.
- Designing service contracts and interfaces.
- Applying service-oriented architecture principles and patterns in architecture design.
- Designing efficient and reliable service integration using integration patterns and messaging.
- Considering governance and security aspects in SOA design and architecture.

Candidates are expected to demonstrate their practical skills and knowledge in these areas to successfully complete the lab exercises and pass the exam.

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S90.09A PDF Sample Questions

S90.09A Sample Questions

SOA
S90.09A
SOA Design & Architecture Lab
https://killexams.com/pass4sure/exam-detail/S90.09A
QUESTION: 36
Service Consumer A sends a message with a business document to Service A (1), which
writes the business document to Database A (2). Service A then forwards the business
document to Service B (3), which writes the business document to Database B (4). Service
B then responds to Service A with a message containing a failure or success code (5) after
which Service A responds to Service Consumer A with a message containing a failure or
success code (6). Upon receiving the message, Service Consumer A updates a log table in
Database B (7). The log entry is comprised of the entire business document. Database A is
dedicated to the Service A service architecture and Database B is a shared database.
There are two problems with this service composition architecture that you are asked to
address: First, both Service Consumer A and Service B need to transform the business
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document data from an XML format to a proprietary Comma Separated Value (CSV) in
order to write the data to Database B. This has led to redundant data format transformation
logic that has been difficult to keep in synch when Database B changes. Secondly, Service
A is an entity service that is being reused by several other service compositions. It has
lately developed reliability problems that have caused the service to become unavailable
for extended periods. What steps can be taken to solve these problems?
A. The Legacy Wrapper pattern can be applied so that data access to Database B is
separated into a new wrapper utility service. This way, the Data Format Transformation
pattern only needs to be applied within the logic of this new service which will expose a
standardized contract that both Service Consumer A and Service B can access. The
Asynchronous Queuing pattern can be applied so that messaging queues are established
between Service Consumer A and Service A and between Service A and Service B . The
Service Autonomy principle can be further applied to Service A in order to establish a
more isolated and reliable surrounding infrastructure.
B. The Legacy Wrapper pattern can be applied so that data access to Database B is
separated into a new wrapper utility service. This way, the Data Format Transformation
pattern only needs to be applied within the logic of this new service which will expose a
standardized contract that both Service Consumer A and Service B can access. The
Reliable Messaging pattern can be applied so that acknowledgements are passed between
Service Consumer A and Service A and between Service A and Service B . The Service
Composability principle can be further applied to Service A in order to optimize its service
architecture for improved participation in multiple service compositions.
C. The service composition can be redesigned with the application of the Contract
Centralization pattern so that instead of writing the business document to Database B,
Service Consumer A sends the business document to Service B instead. This way, Service
B would provide the only location where data format transformation logic for Database B
needs to be carried out, which further supports the application of the Service Reusability
principle. The Reliable Messaging pattern can be applied so that acknowledgements are
passed between Service Consumer A and Service A and between Service A and Service B
. The Service Composability principle can be further applied to Service A in order to
optimize its service architecture for improved participation in multiple service
compositions.
D. None of the above.
Answer: A
QUESTION: 37
Service Consumer A invokes Service A (1). The logic within Service A is required to
retrieve three independent data values from Services B, C, and D and to then return these
data values back to Service Consumer A. To accomplish this, Service A begins by sending
a request message to Service B (2). After receiving a response message with the first data
value from Service B, Service A sends a request message to Service C (3). After it receives
a response message with the second data value from Service C, Service A then sends a
request message to Service D (4). Upon receiving a response message with the third data
value from Service D. Service A finally sends its own response message (containing all
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three collected data values) back to Service Consumer A. Service Consumer A and Service
A reside in Service Inventory A. Service B and Service C reside in Service Inventory B.
Service D is a public service that can be openly accessed via the World Wide Web. The
service is also available for purchase so that it can be deployed independently within IT
enterprises. Due to the rigorous application of the Service Abstraction principle within
Service Inventory B, the only information that is made available about Service B and
Service C are the published service contracts. For Service D, the service contract plus a
Service Level Agreement (SLA) are made available. The SLA indicates that Service D has
a planned outage every night from 11 PM to midnight.
You are an architect with a project team building services for Service Inventory A . You
are told that the owners of Service Inventory A and Service Inventory B are not generally
cooperative or communicative. Cross-inventory service composition is tolerated, but not
directly supported. As a result, no SLAs for Service B and Service C are available and you
have no knowledge about how available these services are. Based on the service contracts
you can determine that the services in Service Inventory B use different data models and a
different transport protocol than the services in Service Inventory A. Furthermore, recent
testing results have shown that the performance of Service D is highly unpredictable due to
the heavy amount of concurrent access it receives from service consumers from other
organizations. You are also told that there is a concern about how long Service Consumer
A will need to remain stateful while waiting for a response from Service A . What steps
can be taken to solve these problems?
A. The Event-Driven Messaging pattern is applied so that a subscriber-publisher
relationship is established between Service Consumer A and Service A . This gives
Service A the flexibility to provide its response to Service Consumer A whenever it is able
to collect the three data values without having to require that Service Consumer A remain
stateful. The Asynchronous Queuing pattern is applied so that a central messaging queue is
positioned between Service A and Service B and between Service A and Service C . The
Data Model Transformation and Protocol Bridging patterns are applied to enable
communication between Service A and Service B and between Service A and Service C .
The Redundant Implementation pattern is applied so that a copy of Service D is brought
in-house and made part of Service Inventory A.
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B. The Asynchronous Queuing pattern is applied so that a central messaging queue is
positioned between Service A and Service B and between Service A and Service C and so
that a separate messaging queue is positioned between Service A and Service Consumer A.
The Data Model Transformation and Protocol Bridging patterns are applied to enable
communication between Service A and Service B and between Service A and Service C .
The Redundant Implementation pattern is applied so that a copy of Service D is brought
in-house for fail-over purposes. The Legacy Wrapper pattern is further applied to wrap
Service D with a standardized service contract that is in compliance with the design
standards used in Service Inventory A. This wrapper utility service first attempts to access
the external service, but if that service is unavailable it will access the redundant internal
service instead.
C. The Reliable Messaging pattern is applied so that a system of acknowledgements is
established between Service Consumer A and Service A . This gives Service A the
flexibility to provide Service Consumer A with acknowledgements that indicate that the
processing steps that are occurring between Service A and Service B, Service C, and
Service D are progressing. The Asynchronous Queuing pattern is applied so that a central
messaging queue is positioned between Service A and Service B and between Service A
and Service C and between Service A and Service D The Data Model Transformation and
Protocol Bridging patterns are applied to enable communication between Service A and
Service B and between Service A and Service C
D. None of the above.
Answer: B
QUESTION: 38
You are an architect with a project team building services for Service Inventory A . You
are told that no SLAs for Service B and Service C are available. You cannot determine
how available these services will be, but it has been confirmed that both of these services
support atomic transactions and the issuance of positive and negative acknowledgements.
However, you also find out that the services in Service Inventory B use different data
models than the services in Service Inventory A. Furthermore, recent testing results have
shown that the performance of Service D is steady and reliable. However, Service D uses a
different transport protocol than the services in Service Inventory A. The response time of
Service A is not a primary concern, but Service Consumer A does need to be able to issue
request messages to Service A 24 hours a day without disruption. What steps can be taken
to fulfill these requirements?
A. The Event-Driven Messaging pattern is applied so that a subscriber-publisher
relationship is established between Service Consumer A and Service A . This gives
Service A the flexibility to provide its response to Service Consumer A whenever it is able
to collect the three data values without having to require that Service Consumer A remain
stateful. The Asynchronous Queuing pattern is applied so that a central messaging queue is
positioned between Service A and Service B and between Service A and Service C . The
Data Model Transformation and Protocol Bridging patterns are applied to enable
communication between Service A and Service B and between Service A and Service C .
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The Service Autonomy principle is further applied to Service A in order to improve its
overall runtime behavioral predictability.
B. The Reliable Messaging pattern is applied so that a system of acknowledgements is
established between Service Consumer A and Service A . This gives Service A the
flexibility to provide Service Consumer A with acknowledgements that indicate that the
processing steps that are occurring between Service A and Service B, Service C, and
Service D are progressing. The Asynchronous Queuing pattern is applied so that a central
messaging queue is positioned between Service A and Service B and between Service A
and Service C and between Service A and Service D . The Redundant Implementation
pattern is applied so that a copy of Service D is brought in-Upon reviewing these
requirements it becomes D with a standardized service contract that is in compliance with
the design standards used in Service Inventory A.
C. The Asynchronous Queuing pattern is applied so that a central messaging queue is
positioned between Service A and Service B and between Service A and Service C and
between Service A and Service D and so that a separate messaging queue is positioned
between Service A and Service Consumer A. The Data Model Transformation pattern is
applied to enable communication between Service A and Service B and between Service A
and Service C . The Protocol Bridging pattern is applied to enable communication between
Service A and Service D
D. None of the above.
Answer: C
QUESTION: 39
Service A is an orchestrated task service that is invoked by a separate composition initiator
(1) and then sends a request message to Service C (2). Service C queries Database B to
retrieve a large data record (3) and provides this data in a response message that is sent
back to Service A. Service A temporarily stores this data in a central state database (4) and
then sends a request message to Service D (5), which accesses a legacy system API to
retrieve a data value (6). Service D then sends this data value in a response message back
to Service A. The data in the state database is subsequently retrieved by Service A (7) and
merged with the newly received data value. This combined data is written to Database A
(8), which triggers an event that results in the invocation of Service B (9). Service B is an
orchestrated task service that sends a request message to Service D (10). which accesses a
legacy system API to retrieve a data value (11) and then sends this data value in a response
message back to Service B. Service B temporarily stores this data in a central state
database (12) and then sends a request message to Service E (13), which performs a
runtime calculation and then responds with the calculated data value back to Service B.
The data in the state database is then retrieved by Service B (14) and merged with the
calculated data value. Service B then uses the merged data to complete its business task.
The following specific problems and requirements exist:
- Database B uses a proprietary data format that is not compliant with the XML format
used by all of the services in this service composition architecture This incompatibility
needs to be solved in order to enable the described service message exchanges.
- The service contract provided by Service D does not comply with the data model
standards that were applied to the other services and therefore uses a different data model
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to represent the same type of data that is exchanged. This incompatibility needs to be
solved in order to enable communication with Service D.
- Database B is a shared database that can be accessed by other services and applications
within the IT enterprise, which causes unpredictable runtime performance. This
performance problem needs to be solved in order to make the runtime behavior of Service
C more predictable.
- For performance and maintenance reasons, Service A and Service B need to be deployed
in the same physical environment where they can share a common state database.
Upon reviewing these requirements it becomes evident to you that the Enterprise Service
Bus compound pattern will need to be applied. However, there are additional requirements
that need to be fulfilled. To build this service composition architecture, which patterns that
is not associated with the Enterprise Service Bus compound pattern need to also be
applied? (Be sure to choose only those patterns that relate directly to the requirements
described above. Patterns associated with the Enterprise Service Bus compound pattern
include both the required or core patterns that are part of the basic compound pattern and
the optional patterns that can extend the basic compound pattern.)
A. Atomic Service Transaction
B. Compensating Service Transaction
C. Data Format Transformation
D. Data Model Transformation
E. Event-Driven Messaging
F. Intermediate Routing
G. Policy Centralization
H. Process Centralization
I. Protocol Bridging
J. Redundant Implementation
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K. Reliable Messaging
L. Service Data Replication
M. State Repository
Answer: H, L, M
QUESTION: 40
Upon reviewing these requirements it becomes evident to you that the Orchestration
compound pattern will need to be applied. However, there are additional requirements that
need to be fulfilled. To build this service composition architecture, which patterns that is
not associated with the Orchestration compound pattern need to also be applied? (Be sure
to choose only those patterns that relate directly to the requirements described above.
Patterns associated with the Orchestration compound pattern include both the required or
core patterns that are part of the basic compound pattern and the optional patterns that can
extend the basic compound pattern.)
A. Atomic Service Transaction
B. Compensating Service Transaction
C. Data Format Transformation
D. Data Model Transformation
E. Event-Driven Messaging
F. Intermediate Routing
G. Policy Centralization
H. Process Centralization
I. Protocol Bridging
J. Redundant Implementation
K. Reliable Messaging
L. Service Data Replication
M. State Repository
Answer: C, L
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