(SEM VII) THEORY EXAMINATION 2024-25 SERVICE ORIENTED ARCHITECTURE

SERVICE ORIENTED ARCHITECTURE (KDS079) – COMPLETE SOLVED PAPER

Time: 3 Hours  Max Marks: 100
Instructions: Attempt all Sections

SECTION A (2 × 10 = 20 Marks)

Attempt all questions in brief

a) Total latency with 5 SOAP services                 Each service = 150 ms
Total base latency = 5 × 150 = 750 ms             Orchestration overhead = 10% of 750 = 75 ms

Total latency = 825 ms

b) WSDL vs SOAP vs UDDI

c) Allowable downtime (99.9% availability)          Total hours/year = 365 × 24 = 8760 hrs
Downtime = 0.1% of 8760 = 8.76 hours/year

d) Design process of client services in SOA          Identify service requirements

Define service contract                                          Implement service interface

Test interoperability                                               Deploy and monitor

e) Technologies for service integration                  SOAP / REST

ESB (Enterprise Service Bus)                                   APIs

Message queues                                                    Middleware

f) Total latency with orchestration overhead

5 services × 150 ms = 750 ms                               Orchestration overhead = 20 ms

Total latency = 770 ms

g) Payback period calculation                                 Implementation cost = $1.5 million
Annual savings = $0.5 million

Payback Period=1.50.5=3 years\text{Payback Period} = \frac{1.5}{0.5} = \mathbf{3 \text{ years}}Payback Period=0.51.5​=3 years 

h) Role of SOA in Big Data analytics                       Enables modular data services

Improves scalability                                                Simplifies integration of analytics tools

Supports real-time processing

i) Best practices for SOA strategy                            Loose coupling

Reusable services                                                     Strong governance

Security policies                                                       Version control

j) Defect reduction calculation                                 Initial defects = 10% of 10,000 = 1000
New defects = 2% of 10,000 = 200

Defects reduced = 800

SECTION B (10 × 3 = 30 Marks)

Attempt any three

a) Evolution of SOA and MSA

SOA: Enterprise-level integration, ESB-centric     MSA: Lightweight, independently deployable services

Drivers: Scalability, agility, DevOps, cloud computing

b) Composite applications & latency calculation  Service latencies: 120 ms + 100 ms + 80 ms
Total latency = 300 ms

Composite applications combine multiple services to deliver business functionality.

c) Strategic architecture governance

Governance defines policies for:                              Service design

Security                                                                     Versioning

It reduces downtime by ensuring standardization and proactive monitoring.

d) Future trends in Big Data + SOA                          Event-driven SOA

Cloud-native services                                                AI-powered orchestration

Real-time analytics                                                    Impact: Faster insights, better scalability

e) Governance best practices                                    Clear service ownership

Policy enforcement                                                   SLA monitoring

Compliance auditing                                                 Ensures regulatory and operational compliance.

SECTION C (10 × 5 = 50 Marks)

Attempt one from each question

Q3(a) Challenges in adopting SOA in legacy systems

Challenges:                                                              Tight coupling

Old technologies                                                       High migration cost

Solutions:                                                                 Wrappers

API gateways                                                             Phased migration

Financial impact: Reduced long-term maintenance and operational costs

Q3(b) Why MSA is preferred over SOA

Q4(a) Methodology for SOA development

Steps:                                                                      Service identification

Service design                                                         Implementation

Testing                                                                     Deployment

Iterative development allows faster feedback and reduced logistics failures.

Q4(b) Principles of service design

Loose coupling                                                         Statelessness

Reusability                                                                Result: Improved scalability and maintainability

Q5(a) Governance framework for retail system

Includes:                                                                    Policy management

SLA enforcement                                                       Security standards

Service lifecycle management

Q5(b) Technologies enabling SOA

Web services                                                              REST APIs

ESB                                                                             Message brokers

Used to integrate legacy mainframes with modern apps.

Q6(a) Big Data orchestration gain calculation

Processing = 1 TB/day                                               Yearly data = 365 TB

20% speed improvement = 73 TB equivalent gain/year

Q6(b) Big Data characteristics

Volume                                                                       Velocity

Variety                                                                        Veracity

SOA helps handle these via modular and scalable services.

Q7(a) Framework aligning business & SOA

Business process modeling                                         Service mapping

SLA definition                                                              Continuous monitoring

Ensures scalability and agility.

Q7(b) SOA improving IT efficiency (case study)

Reusable services reduce development by 30%         Downtime reduced by 40%

Maintenance cost lowered by 25%