1Z0-1084-26 Oracle Cloud Infrastructure Developer Professional Exam
1Z0-1084-26 Oracle Cloud Infrastructure Developer Professional is a professional-level Oracle Cloud Infrastructure certification exam focused on developing, deploying, securing, testing, monitoring, and troubleshooting cloud-native applications on OCI. The preparation scope includes microservices, Docker and OCI Container Registry, Oracle Kubernetes Engine (OKE), Oracle Functions, API Gateway, Streaming, Queue, Events, Vault, application security, logging, monitoring, and distributed tracing.
Candidates preparing for the Oracle Cloud Infrastructure Developer Professional 1Z0-1084-26 exam should combine conceptual study with practical OCI experience. Oracle’s training path includes hands-on areas such as creating OKE clusters, deploying applications, working with OCIR images, developing Functions, scheduling Functions, integrating OCI services, securing container images, and troubleshooting cloud-native workloads.
Topics Covered in 1Z0-1084-26
Cloud-native application fundamentals
Microservices architecture
DevOps and OCI DevOps
Containerization and Docker
Oracle Cloud Infrastructure Registry (OCIR)
Oracle Kubernetes Engine (OKE)
Kubernetes clusters and deployments
Managed, virtual, and self-managed nodes
OCI Functions and serverless applications
API Gateway
OCI Streaming
OCI Queue
OCI Events
Event-driven architectures
Apache Kafka with OCI Streaming
OCI Vault and secrets
Container image security
Image vulnerability scanning
Signed container images
Cloud-native testing strategies
OCI Monitoring
OCI Logging
Application Performance Monitoring
Distributed tracing
Application troubleshooting
Security integration for cloud-native applications
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Prepare for the 1Z0-1084-26 Oracle Cloud Infrastructure Developer Professional exam with practice questions, study material, and exam-focused preparation covering OCI Functions, OKE, Docker, OCIR, API Gateway, Streaming, Queue, Events, security, monitoring, and troubleshooting.
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Examkingdom Oracle 1Z0-1084-26 Exam pdf
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QUESTION 1
Your organization is modernizing a monolithic e-commerce application into microservices deployed on OKE.
The team is designing separate services for product catalog, shopping cart, and order processing. Which of
the following best reflects the key principles of microservices architecture that should guide this redesign?
A. Each service should be tightly coupled to shared databases and communicate synchronously through
REST calls to ensure data consistency
B. Each service should be independently deployable, loosely coupled, organized around business
capabilities, and use decentralized data management
C. All services should share a common monolithic database to simplify transactions and reduce network overhead
D. Services should communicate exclusively through direct RPC calls to maximize performance and minimize latency
E. A single gateway service should own and validate all business logic to maintain strict consistency across services
Answer: B
Explanation:
The correct answer reflects the core principles of microservices architecture: independent deployability, loose
coupling, organization by business capability, and decentralized data management. This design enables teams
to develop, test, and deploy services independently while maintaining clear separation of concerns.
The other options reflect common anti-patterns: tightly coupling services to shared databases creates
dependencies and reduces scalability; synchronous-only communication can introduce bottlenecks; monolithic
databases defeat the purpose of microservices; and centralizing business logic in a gateway creates a single
point of failure and contradicts the microservices philosophy of distributed responsibility.
QUESTION 2
Your organization is modernizing a legacy monolithic payment processing application by breaking it into
microservices. Each microservice will handle a specific domain: order management, payment processing,
inventory, and notifications. You are designing the communication pattern between these services.
Which of the following best describes a key design principle you should apply to ensure loose coupling and
independent scalability?
A. Use synchronous REST calls between all microservices to ensure immediate consistency
B. Implement asynchronous messaging through OCI Streaming or OCI Queue so services can scale independently and decouple from direct dependencies
C. Deploy all microservices in a single container to share memory and reduce latency
D. Require each microservice to access a shared central database to maintain data consistency
Answer: B
Explanation:
The correct answer is to implement asynchronous messaging through OCI Streaming or OCI Queue. This is a
core principle of microservices architecture that enables loose coupling—services do not need to call each
other directly, allowing them to scale and fail independently. This aligns with cloud-native fundamentals
emphasizing service independence and resilience.
Synchronous REST calls create tight coupling and can cascade failures. Shared containers violate the
microservices principle of independent deployment, and a shared central database creates a bottleneck and
reduces the autonomy that microservices design provides.
QUESTION 3
Which statement about microservices is FALSE?
A. They are typically designed around business capabilities.
B. It is fairly common for them to communicate with HTTP.
C. Multiple microservices can run in one process.
D. They are independently deployable.
Answer: B
Explanation:
The correct answer is: ‘Multiple microservices can run in one process.’ The statement that is FALSE about
microservices is: ‘Multiple microservices can run in one process.’ Microservices are designed to be independent
and autonomous services that can be deployed, scaled, and managed separately. Each microservice typically
runs as its own separate process. This separation allows for loose coupling and independent scalability of
individual services. Running multiple microservices in a single process would violate the fundamental principle
of microservices architecture, which emphasizes the isolation and independence of services. Combining
multiple microservices into a single process would tightly couple them, making it difficult to independently
manage, scale, and update each service. The other statements provided are true about microservices: It is
fairly common for microservices to communicate with HTTP: Microservices often communicate with each other
using lightweight protocols like HTTP/REST. This allows for interoperability, flexibility, and ease of
communication between microservices. Microservices are typically designed around business capabilities:
Microservices architecture advocates designing services based on specific business capabilities or
functionalities. Each microservice focuses on a specific business domain or task, enabling modular and scalable
development. They are independently deployable: Microservices are designed to be independently deployable
units. This means that each microservice can be developed, tested, deployed, and updated separately without
affecting other services. This flexibility allows for faster development cycles and more efficient scalability.
QUESTION 4
Which testing measure should be considered when using test cases that simultaneously validate a deployment and perform a selected set of functional tasks?
A. Resource Utilization
B. Functionality
C. Scalability
D. Robust Deployment
E. Resiliency
Answer: D
Explanation:
The correct answer is: ‘Robust Deployment.’ When using test cases that simultaneously validate a deployment
and perform a selected set of functional tasks, the testing measure that should be considered is ‘Robust
Deployment.’ Robust Deployment refers to the ability of an application or system to be deployed reliably and
consistently, without errors or failures. It involves ensuring that the deployment process is well-defined,
automated, and able to handle different scenarios and configurations. When conducting testing that combines
the validation of deployment and functional tasks, it is crucial to ensure that the deployment itself is robust.
This means verifying that the application or system can be successfully deployed and configured without
encountering deployment-related issues such as incorrect configurations, missing dependencies, or
compatibility problems. By considering ‘Robust Deployment’ as a testing measure, you can evaluate the
reliability and effectiveness of the deployment process, ensuring that the application or system is deployed
correctly and ready to perform the selected set of functional tasks.
QUESTION 5
What is the open source engine for Oracle Functions?
A. Fn Project
B. Apache OpenWhisk
C. OpenFaas
D. Knative
Answer: A
Explanation:
The Fn Project is an open source serverless computing platform that serves as the engine for Oracle Functions.
It provides a runtime environment for executing functions in a serverless architecture. The Fn Project enables
developers to build and deploy functions using different programming languages, including Java, Python,
Node.js, and more. The Fn Project is designed to be flexible and extensible, allowing developers to define
functions as small units of code and execute them in response to events or triggers. It supports event-driven
execution, allowing functions to be triggered by various events such as HTTP requests, messages from
messaging systems, or changes in data. Oracle Functions leverages the Fn Project as its underlying engine,
providing a managed serverless platform within the Oracle Cloud Infrastructure. It allows developers to easily
develop, deploy, and manage functions using the familiar Fn Project framework and tooling. With Oracle
Functions, developers can focus on writing their function code while leaving the infrastructure management,
scaling, and operational tasks to the platform.
QUESTION 6
Which feature is typically NOT associated with Cloud Native?
A. Immutable Infrastructure
B. Declarative APIs
C. Containers
D. Application Servers
E. Service Meshes
Answer: D
Explanation:
The feature that is typically NOT associated with Cloud Native is ‘Application Servers.’ Cloud Native architecture
emphasizes lightweight, scalable, and containerized deployments, which often replace traditional monolithic
application servers. Instead of relying on application servers, Cloud Native applications are typically deployed
as containerized microservices that can be orchestrated and managed using container orchestration platforms
like Kubernetes. This approach enables greater flexibility, scalability, and agility in deploying and managing
applications. While application servers have been widely used in traditional application architectures, they are
not a characteristic feature of Cloud Native architectures. Cloud Native architectures focus on containerization,
declarative APIs, immutable infrastructure, and service meshes to enable efficient and scalable deployment
and management of applications.
Aarav – India
“The 1Z0-1084-26 practice material helped me organize my preparation around OCI Functions, OKE, and API Gateway.”
Sofia – Spain
“The explanations helped me identify the OCI topics where I needed additional study.”
Daniel – Canada
“I used the practice questions to review cloud-native development concepts before my exam.”
Yuki – Japan
“The structured preparation made it easier to review Kubernetes and OCI serverless concepts.”
Liam – Ireland
“The scenario-based questions were useful for testing my understanding of OCI developer services.”
Amelia – Australia
“I used the study material alongside hands-on OCI practice to prepare for the certification.”
Noah – United States
“The questions helped me review OCI Streaming, Queue, Events, and Functions.”
Marta – Poland
“The preparation content gave me a useful checklist of topics to revise before the exam.”
Lucas – Brazil
“I particularly found the OKE and containerization sections useful during my preparation.”
Fatima – United Arab Emirates
“The practice material helped me focus my revision on security, testing, and monitoring.”
Oliver – United Kingdom
“The OCI Developer Professional preparation resources were easy to work through during my study sessions.”
Nora – Germany
“The coverage of cloud-native architecture and microservices was helpful for my exam preparation.”
Ethan – New Zealand
“I used the practice questions to measure my knowledge before scheduling the certification exam.”
Camila – Mexico
“The material helped me revise OCI Functions, API Gateway, and container-based application development.”
Hassan – Saudi Arabia
“The preparation resources helped me structure my final revision and identify areas that needed more hands-on practice.”
1. What is the 1Z0-1084-26 exam?
It is the Oracle Cloud Infrastructure Developer Professional certification exam for validating knowledge of developing and operating cloud-native applications on OCI.
2. How many questions are on 1Z0-1084-26?
Oracle’s current 2026 exam listing shows 50 questions.
3. How long is the 1Z0-1084-26 exam?
The current Oracle listing specifies 90 minutes.
4. What is the passing score?
The current Oracle certification listing shows a 68% passing score.
5. What is Oracle Cloud Infrastructure Developer Professional?
It is a professional OCI certification focused on cloud-native application development, including containers, Kubernetes, serverless technologies, APIs, messaging, security, and observability.
6. Is OKE covered in 1Z0-1084-26?
Yes. Oracle’s Developer Professional learning path includes OKE clusters, Kubernetes access, node types, deployments, image pulling, and OCI Service Operator for Kubernetes.
7. Are OCI Functions included in the exam?
Yes. Oracle’s learning content covers Functions concepts, operations, use cases, scheduling, integrations, security, logging, metrics, and tracing.
8. Should I study OCI API Gateway?
Yes. API Gateway is included in the cloud-native/serverless development scope, including processing API-client traffic and routing requests to backend services.
9. Is OCI Streaming part of the exam?
Yes. OCI Streaming is part of the Developer Professional learning scope and is used for integrating systems and supporting managed/serverless application architectures.
10. Does the exam cover OCI Queue and Events?
Yes. These services are relevant to asynchronous messaging and event-driven cloud-native application architectures.
11. What should I know about OCIR?
Candidates should understand container images, repositories, pushing and pulling images, image management, and using registry images when deploying applications to OKE.
12. Is OCI Vault included?
Yes. Oracle’s learning path includes OCI Vault, secrets, integration with OCI services, and security considerations for cloud-native applications.
13. Does 1Z0-1084-26 cover monitoring and troubleshooting?
Yes. The Oracle course includes OCI Monitoring, Logging, Functions metrics and logs, API Gateway metrics and logs, OKE monitoring, application performance monitoring, tracing, and debugging.
14. Is hands-on practice useful for this certification?
Yes. Oracle’s own learning path contains demonstrations and hands-on activities involving OKE, OCIR, Functions, security, and monitoring, making practical experience useful alongside theoretical study.
15. What is the best way to prepare for 1Z0-1084-26?
A practical preparation approach is to study the Oracle objectives, learn the relevant OCI services, complete hands-on labs, and use legitimate practice questions to identify knowledge gaps before taking the official exam. Oracle’s published course provides demonstrations and skill checks across these areas.
