Updated Arcitura Education S90.08B Exam Questions (July 2026)

About S90.08B Exam

The S90.08B certification exam, offered by Arcitura Education, represents a comprehensive assessment of Service-Oriented Architecture (SOA) design and microservices implementation expertise. This advanced certification validates your knowledge of SOA principles, design patterns, microservices architecture, and enterprise integration strategies. Key topics covered in the S90.08B exam include service modeling, composition patterns, security considerations, governance frameworks, and the transition from monolithic systems to microservices-based architectures. Candidates will demonstrate proficiency in designing scalable, maintainable services that align with organizational business objectives and technical requirements.

The S90.08B certification is ideal for software architects, enterprise solution designers, and senior developers seeking to validate their SOA and microservices expertise. Preparing effectively requires leveraging updated exam dumps and practice tests that reflect current industry standards and exam content. These resources enable candidates to identify knowledge gaps, familiarize themselves with question formats, and build confidence before the actual examination. By utilizing comprehensive practice materials and studying core architectural concepts, professionals can significantly improve their chances of passing the S90.08B exam and advancing their careers in enterprise architecture roles.

Exam Topics & Objectives

Fundamental SOA, Services & Microservices

Microservice Technology Concepts

Design & Architecture with SOA, Services & Microservices

Advanced SOA Design & Architecture with Services & Microservices

SOA Design & Architecture Lab with Services & Microservices

4-Week Study Plan for S90.08B

Week 1: Fundamental SOA & Services Foundation

Study SOA principles: modularity, loose coupling, service reusability, and discoverability
Learn service-oriented architecture layers: presentation, business process, services, and integration
Review service contracts, WSDL, and XML schema fundamentals
Explore service lifecycle management and governance frameworks
Complete practice exercises on identifying service boundaries in monolithic systems
Study service versioning strategies and backward compatibility
Review sample architecture diagrams from official SOA design documentation

Week 2: Microservices & Technology Concepts

Understand microservices architecture principles and differences from SOA
Study containerization: Docker basics, images, and container orchestration
Learn Kubernetes fundamentals: pods, services, deployments, and namespaces
Review API Gateway patterns and routing strategies
Explore service discovery mechanisms: client-side and server-side discovery
Study distributed configuration management and centralized logging
Complete hands-on labs with microservice deployment scenarios
Review communication patterns: synchronous REST, asynchronous messaging

Week 3: SOA & Microservices Design & Architecture

Study domain-driven design and bounded contexts for service decomposition
Learn service granularity patterns: finding optimal service size
Review event-driven architecture and event streaming patterns
Explore saga patterns for distributed transactions
Study resilience patterns: circuit breaker, retry logic, and timeout strategies
Learn API composition and backend-for-frontend patterns
Practice designing architecture diagrams for complex business scenarios
Review case studies on service mesh implementations and trade-offs
Study cross-cutting concerns: authentication, authorization, and audit logging

Week 4: Advanced Architecture & Lab Preparation

Study advanced deployment patterns: blue-green, canary, and rolling deployments
Learn observability implementation: distributed tracing, metrics collection, and alerting
Review operational concerns: service monitoring, debugging, and performance tuning
Explore data management in distributed systems: database per service, eventual consistency
Study security patterns: service-to-service authentication, data encryption in transit
Complete full-length practice labs simulating real-world architecture challenges
Review exam case studies involving migration from monolith to microservices
Practice designing solutions addressing scalability, fault tolerance, and maintainability requirements
Take mock exams and review all weak areas from previous weeks

Sample S90.08B Questions

Practice with real exam-style questions. Reveal answers to verify your knowledge.

Q1 MultipleChoice

Refer to Exhibit.

Service A is a task service that sends Service B a message (2) requesting that Service B return data back to Service A in a response message (3). Depending on the response received, Service A may be required to send a message to Service C (4) for which it requires no response.

Before it contacts Service B, Service A must first retrieve a list of code values from its own database (1) and then place this data into its own memory. If it turns out that it must send a message to Service C, then Service A must combine the data it receives from Service B with the data from the code value list in order to create the message it sends to Service C. If Service A is not required to invoke Service C, it can complete its task by discarding the code values.

Service A and Service C reside in Service Inventory

AService B resides in Service Inventory B.
You are told that the services in Service Inventory A were designed with service contracts that are based on different design standards and technologies than the services In Service Inventory B. As a result, Service A is a SOAP-based Web service and Service B Is a REST service that exchanges JSON-formatted messages. Therefore, Service A and Service B cannot currently communicate. Furthermore, Service C is an agnostic service that is heavily accessed by many concurrent service consumers. Service C frequently reaches its usage thresholds, during which it is not available and messages sent to it are not received.
What steps can be taken to solve these problems?

AThe Data Model Transformation pattern can be applied by establishing an intermediate processing layer between Service A and Service B that can transform a message from one data model to another at runtime. The Intermediate Routing and Service Agent patterns can be applied so that when Service B sends a response message, a service agent can intercept the message and, based on its contents, either forward the message to Service A or route the message to Service C. The Service Autonomy principle can be further applied to Service C together with the Redundant Implementation pattern to help establish a more reliable and scalable service architecture.

BThe Data Format Transformation pattern can be applied by establishing an intermediate processing layer between Service A and Service B that can transform a message from one data format to another at runtime. The Asynchronous Queuing pattern can be applied to establish an intermediate queue between Service A and Service C so that when Service A needs to send a message to Service C, the queue will store the message and retransmit it to Service C until it is successfully delivered. The Service Autonomy principle can be further applied to Service C together with the Redundant Implementation pattern to help establish a more reliable and scalable service architecture.

CThe Data Model Transformation pattern can be applied by establishing an intermediate processing layer between Service A and Service B that can transform a message from one data model to another at runtime. The Intermediate Routing and Service Agent patterns can be applied so that when Service B sends a response message, a service agent can intercept the message and, based on its contents, either forward the message to Service A or route the message to Service C. The Service Statelessness principle can be applied with the help of the State Repository pattern so that Service A can write the code value data to a state database while it is waiting for Service B to respond.

DThe Data Format Transformation pattern can be applied by establishing an intermediate processing layer between Service A and Service B that can transform a message from one data format to another at runtime. The Asynchronous Queuing pattern can be applied to establish an intermediate queue between Service A and Service B so that when Service A needs to send a message to Service B, the queue will store the message and retransmit it to Service B until it is successfully delivered. The Service Reusability principle can be further applied to Service C together with the Redundant Implementation pattern to help establish a more reusable and scalable service architecture.

Q2 MultipleChoice

Refer to Exhibit.

Our service inventory contains the following three services that provide Invoice-related data access capabilities: Invoice, InvProc and Proclnv. These services were created at different times by different project teams and were not required to comply with any design standards. Therefore, each of these services has a different data model for representing invoice data.

Currently, each of these three services has a different service consumer: Service Consumer A accesses the Invoice service (1), Service Consumer B (2) accesses the InvProc service, and Service Consumer C (3) accesses the Proclnv service. Each service consumer invokes a data access capability of an invoice-related service, requiring that service to interact with the shared accounting database that is used by all invoice-related services (4, 5, 6).

Additionally, Service Consumer D was designed to access invoice data from the shared accounting database directly (7). (Within the context of this architecture, Service Consumer D is labeled as a service consumer because it is accessing a resource that is related to the illustrated service architectures.)

Assuming that the Invoice service, InvProc service and Proclnv service are part of the same service inventory, what steps would be required to fully apply the Official Endpoint pattern?

AOne of the invoice-related services needs to be chosen as the official service providing invoice data
access capabilities. Service Consumers A, B, and C then need to be redesigned to only access the chosen invoice-related service. Because Service Consumer D does not rely on an invoice-related service, it is not affected by the Official Endpoint pattern and can continue to access the accounting database directly. The Service Abstraction principle can be further applied to hide the existence of the shared accounting database and other implementation details from current and future service consumers.

BOne of the invoice-related services needs to be chosen as the official service providing invoice data access capabilities and logic from the other two services needs to be moved to execute within the context of the official Invoice service. Service Consumers A, B, and C then need to be redesigned to only access the chosen invoice-related service. Service Consumer D also needs to be redesigned to not access the shared accounting database directly, but to also perform its data access by interacting with the official invoice-related service. The Service Abstraction principle can be further applied to hide the existence of the shared accounting database and other implementation details from current and future service consumers.

CBecause Service Consumers A, B, and C are already carrying out their data access via published contracts, they are not affected by the Official Endpoint pattern. Service Consumer D needs to be redesigned so that it does not access the shared accounting database directly, but instead performs its data access by interacting with the official invoice-related service. The Service Abstraction principle can be further applied to hide the existence of the shared accounting database and other implementation details from current and future service consumers.

DOne of the invoice-related services needs to be chosen as the official service providing invoice data access capabilities. Because Service Consumer D does not rely on an invoice-related service, it is not affected by the Official Endpoint pattern and can continue to access the accounting database directly. The Service Loose Coupling principle can be further applied to decouple Service Consumers A, B, and C from the shared accounting database and other implementation details.

Correct: B

he Legacy Wrapper pattern can be applied so that Component B is separated into a separate utility service that wraps the shared database. The Legacy Wrapper pattern can be applied again so that Component C is separated into a separate utility service that acts as a wrapper for the legacy system API. The Legacy Wrapper pattern can be applied once more to Component D so that it is separated into another utility service that provides standardized access to the file folder. The Service Facade pattern can be applied so that three facade components are added: one between Component A and each of the new wrapper utility services. This way, the facade components can compensate for any change in behavior that may occur as a result of the separation. The Service Composability principle can be further applied to Service A and the three new wrapper utility services so that all four services are optimized for participation in the new service composition. This will help make up for any performance loss that may result from splitting the three components into separate services.

By applying the Legacy Wrapper pattern to separate Components B, C, and D into three different utility services, the shared resources within the IT enterprise (Database A, the legacy system, and the file folders) can be properly encapsulated and managed by dedicated services. The Service Facade pattern can then be used to create a facade component between Component A and each of the new wrapper utility services, allowing them to interact seamlessly without affecting Service Consumer A's behavior.

Finally, the Service Composability principle can be applied to ensure that Service A and the three new wrapper utility services are optimized for participation in the new service composition. This will help to mitigate any performance loss that may result from splitting the three components into separate services.

Q3 MultipleChoice

Refer to Exhibit.

The Client and Vendor services are agnostic services that are both currently part of multiple service compositions. As a result, these services are sometimes subjected to concurrent access by multiple service consumers.

The Client service primarily provides data access logic to a client database but also coordinates with other services to determine a clients credit rating. The Vendor service provides some data access logic but can also generate various dynamic reports based on specialized business requirements.

After reviewing historical statistics about the runtime activity of the two services, it is discovered that the Client service is serving an ever-increasing number of service consumers. It is regularly timing out, which in turn increases its call rate as service consumers retry their requests. The Vendor service occasionally has difficulty meeting its service-level agreement (SLA) and when this occurs, penalties are assessed.

Recently, the custodian of the Client service was notified that the Client service will be made available to new service consumers external to its service inventory. The Client service will be providing free credit rating scores to any service consumer that connects to the service via the Internet. The Vendor service will remain internal to the service inventory and will not be exposed to external access.

Which of the following statements describes a solution that addresses these issues and requirements?

AThe API Gateway pattern, together with the Inventory Endpoint pattern, can be applied to the service inventory to establish an inventory endpoint service and an intermediary layer of processing that will be accessed by external service consumers and that will interact with the Client service to process external service consumer requests. The Redundant Implementation pattern can be applied to both the Client and Vendor services to increase their availability and scalability.

BThe Official Endpoint pattern can be applied to the Client service to establish a managed endpoint for consumption by service consumers external to the service inventory. The Concurrent Contracts pattern can be applied to the Vendor service, enabling it to connect with alternative Client service implementation, should the first attempt to connect fail.

CThe State Repository pattern can be applied to the Client and Vendor services to establish a central statement management database that can be used to overcome runtime performance problems. The Official Endpoint pattern can be further applied to increase the availability and scalability of the Client service for service consumers external to the service inventory.

DThe Microservice Deployment pattern is applied to the Client service to improve its autonomy and
responsiveness to a greater range of service consumers. The Containerization pattern is applied to the Vendor service to establish a managed environment with a high degree of isolation for its report-related processing. The Endpoint Redirection pattern is further applied to ensure that request messages from service consumers outside of the service inventory are redirected away from the Client service.

Q4 MultipleChoice

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 B (6) and issues a response message back to Service C (7).

Service A and Service D are located in Service Inventory

AService 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?

AThe 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.

BThe 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.

CThe 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.

DThe 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.

Q5 MultipleChoice

Refer to Exhibit.

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 (6).

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?

AThe 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.

BThe 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.

CThe 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.

DThe 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.

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Frequently Asked Questions

The S90.08B exam focuses on SOA design and architecture principles, specifically emphasizing services and microservices design patterns. It validates the candidate's ability to design and architect service-oriented solutions using contemporary microservices approaches.

The S90.08B exam typically consists of 80 multiple-choice questions with a time limit of 90 minutes. The passing score is generally set at 70%, though candidates should verify the current requirements with Arcitura Education.

The exam covers SOA principles, service design patterns, microservices architecture, service contracts, service composition, and enterprise integration patterns. It also includes content on cloud computing fundamentals and their relationship to service-oriented architecture.

Yes, candidates are typically required to hold the S90.04A certification (SOA Fundamentals) before attempting the S90.08B exam. This ensures foundational knowledge of SOA concepts before advancing to design and architecture topics.

Arcitura Education offers official study materials including the SOA Design & Architecture guide and web-based courses specifically designed for this certification. Candidates should review microservices patterns, service design principles, and complete practice exams to ensure readiness.

S90.08B Exam Questions & Answers

About S90.08B Exam

Exam Topics & Objectives

4-Week Study Plan for S90.08B

Week 1: Fundamental SOA & Services Foundation

Week 2: Microservices & Technology Concepts

Week 3: SOA & Microservices Design & Architecture

Week 4: Advanced Architecture & Lab Preparation

Sample S90.08B Questions

Frequently Asked Questions

Pass S90.08B First Time

S90.08B Exam Questions & Answers

About S90.08B Exam

Exam Topics & Objectives

4-Week Study Plan for S90.08B

Week 1: Fundamental SOA & Services Foundation

Week 2: Microservices & Technology Concepts

Week 3: SOA & Microservices Design & Architecture

Week 4: Advanced Architecture & Lab Preparation

Sample S90.08B Questions

Frequently Asked Questions

What is the primary focus of the S90.08B certification exam?

How long is the S90.08B certification exam and what is the passing score?

What are the main topics covered in the S90.08B exam?

Is there a prerequisite certification required before taking the S90.08B exam?

How should candidates prepare for the S90.08B certification exam?

Pass S90.08B First Time