IT: D317 ITEC 2023 IT Applications
Final Assessment Review
Questions & Solutions
2025
©2025
, Question 1 (Multiple Choice)
Case Study:
A multinational enterprise is refactoring its legacy application into a
modern microservices architecture. As part of the transformation, the
development team must decide on an orchestration solution to manage
hundreds of containerized services deployed across various
environments.
Question:
Which container orchestration system is the industry standard for
automating deployment, scaling, and management of these
microservices?
a) Docker Swarm
b) Kubernetes
c) Apache Mesos
d) OpenStack
Correct ANS: b) Kubernetes
Rationale:
Kubernetes is widely adopted for its robust features, including
automated rollouts, self-healing capabilities, and scalability. It supports
complex microservices deployments better than alternatives like Docker
Swarm or Apache Mesos, making it the top industry choice.
---
Question 2 (Fill in the Blank)
Case Study:
An enterprise IT application requires a tamper-proof way to record
transactions and verify data integrity across multiple nodes, especially in
©2025
, supply chain management.
Question:
To achieve an immutable, decentralized ledger, the development team
implements ______ into its architecture.
Correct ANS: Blockchain
Rationale:
Blockchain technology is a distributed ledger framework that ensures
immutability and transparency of transactions. Its decentralized nature
makes it highly suitable for applications like supply chain management
where data integrity is critical.
---
Question 3 (True/False)
Case Study:
A software development team is breaking down a monolithic legacy
application into smaller, independent services. Each service manages its
own dataset to enhance scalability and reduce interdependencies.
Question:
True or False: In a microservices architecture, each service having its own
independent data store helps eliminate a single point of failure.
Correct ANS: True
Rationale:
Decentralized data management in microservices isolates failures and
enables each service to scale independently. This approach reduces the
risks associated with a single shared database, thereby improving fault
tolerance.
©2025
Final Assessment Review
Questions & Solutions
2025
©2025
, Question 1 (Multiple Choice)
Case Study:
A multinational enterprise is refactoring its legacy application into a
modern microservices architecture. As part of the transformation, the
development team must decide on an orchestration solution to manage
hundreds of containerized services deployed across various
environments.
Question:
Which container orchestration system is the industry standard for
automating deployment, scaling, and management of these
microservices?
a) Docker Swarm
b) Kubernetes
c) Apache Mesos
d) OpenStack
Correct ANS: b) Kubernetes
Rationale:
Kubernetes is widely adopted for its robust features, including
automated rollouts, self-healing capabilities, and scalability. It supports
complex microservices deployments better than alternatives like Docker
Swarm or Apache Mesos, making it the top industry choice.
---
Question 2 (Fill in the Blank)
Case Study:
An enterprise IT application requires a tamper-proof way to record
transactions and verify data integrity across multiple nodes, especially in
©2025
, supply chain management.
Question:
To achieve an immutable, decentralized ledger, the development team
implements ______ into its architecture.
Correct ANS: Blockchain
Rationale:
Blockchain technology is a distributed ledger framework that ensures
immutability and transparency of transactions. Its decentralized nature
makes it highly suitable for applications like supply chain management
where data integrity is critical.
---
Question 3 (True/False)
Case Study:
A software development team is breaking down a monolithic legacy
application into smaller, independent services. Each service manages its
own dataset to enhance scalability and reduce interdependencies.
Question:
True or False: In a microservices architecture, each service having its own
independent data store helps eliminate a single point of failure.
Correct ANS: True
Rationale:
Decentralized data management in microservices isolates failures and
enables each service to scale independently. This approach reduces the
risks associated with a single shared database, thereby improving fault
tolerance.
©2025
