2026 1z0-1084-26 Exam Cram Questions | High Pass-Rate 1z0-1084-26: Oracle Cloud Infrastructure Developer Professional 100% Pass

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Oracle 1z0-1084-26 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Cloud Native Applications and Containerization	33%	- OCI Registry 1. Use OCI Registry to pull and push container images - Oracle Kubernetes Engine 1. Develop and deploy containerized applications on Oracle Kubernetes Engine - Container Orchestration 1. Discuss the role of container orchestration - Docker and Containerization 1. Explain Docker and the concepts around its architecture and components
Topic 2: Cloud Native Fundamentals	11%	- Cloud Native Principles 1. Explain the fundamentals of cloud native and discuss the key pillars of cloud native development - Microservices Architecture 1. Explain the microservices architecture and discuss the design methodology of microservices
Topic 3: Monitoring & Troubleshooting Cloud Native Applications	10%	- Monitoring, Logging, and Tracing 1. Perform tasks around monitoring, logging, and tracing - OCI Monitoring 1. Utilize OCI Monitoring Service to view metrics - OCI Logging 1. Use OCI Logging Service to enable, manage, and search logs
Topic 4: Leveraging Serverless Technologies for Cloud Native Development	33%	- OCI Queue 1. Facilitate asynchronous messaging for microservices with OCI Queue - Oracle Functions 1. Develop serverless applications with Oracle Functions - API Gateway 1. Create API gateways to process traffic from API clients and route it to back-end services - OCI Events 1. Build event-driven serverless applications using OCI Events Service - OCI Streaming 1. Create integration between systems using OCI Streaming Service
Topic 5: Testing and Securing Cloud Native Applications	13%	- OCI Vault 1. Use OCI Vault to securely store and manage encryption keys and sensitive configuration information - Cloud Native Testing 1. Analyze and evaluate cloud native testing methodologies and develop effective strategies for testing cloud native applications - Cloud Native Security 1. Apply security measures to overcome challenges with cloud native development

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Oracle Cloud Infrastructure Developer Professional Sample Questions (Q140-Q145):

NEW QUESTION # 140
You have two microservices, A and B, running in production. Service A relies on APIs from service B. You want to test changes to service A without deploying all of its dependencies, which include service B. Which approach should you take to test service A?

A. Test using API mocks.
B. There is no need to explicitly test APIs.
C. Test against production APIs.
D. Test the APIs in private environments.

Answer: A

Explanation:
API mocking is a technique that simulates the behavior of real APIs without requiring the actual implementation or deployment of the dependent services1. API mocking allows you to test changes to service A without deploying all of its dependencies, such as service B, by creating mock responses for the APIs that service A relies on1. API mocking has several benefits, such as1:
* Faster testing: You can test your service A without waiting for service B to be ready or available, which reduces the testing time and feedback loop.
* Isolated testing: You can test your service A in isolation from service B, which eliminates the possibility of external factors affecting the test results or causing errors.
* Controlled testing: You can test your service A with different scenarios and edge cases by creating mock responses that mimic various situations, such as success, failure, timeout, etc.

NEW QUESTION # 141
You have two microservices, A and B running in production. Service A relies on APIs from service B. You want to test changes to service A without deploying all of its dependencies, which includes service B. Which approach should you take to test service A?

A. Test using a previous test version of service B.
B. Test using an API mock of service B.
C. Test using the current production version of service B.
D. This is not possible because service B is a dependency.

Answer: B

Explanation:
The correct answer is: Test using an API mock of service B. To test service A without deploying all of its dependencies, including service B, you can use an API mock of service B. An API mock is a simulated version of the API that mimics the behavior of the actual service. By using an API mock, you can isolate the testing of service A and simulate the responses and behavior of service B ' s APIs. With an API mock, you can define the expected responses and behavior of service B ' s APIs, allowing you to test the integration between service A and the mocked version of service B. This approach enables you to verify the functionality of service A without relying on the availability or changes in the actual service B. By decoupling the dependencies and using an API mock, you can perform independent testing of service A, ensuring its functionality in isolation.

NEW QUESTION # 142
A service you are deploying to Oracle Cloud Infrastructure (OCI) Container Engine for Kubernetes (OKE) uses a docker image from a private repository in OCI Registry (OCIR). Which configuration is necessary to provide access to this repository from OKE?

A. Create a docker-registry secret for OCIR with identity Auth Token on the cluster, and specify the imagePullSecret property in the application deployment manifest.
B. Create a docker-registry secret for OCIR with API key credentials on the cluster, and specify the imagePullSecret property in the application deployment manifest.
C. Add a generic secret on the cluster containing your identity credentials. Then specify a registryCredentials property in the deployment manifest.
D. Create a dynamic group for nodes in the cluster, and a policy that allows the dynamic group to read repositories in the same compartment.

Answer: A

NEW QUESTION # 143
You are deploying a set of Java microservices to an Oracle Cloud Infrastructure Container Engine for Kubernetes cluster. You must ensure that the application design strictly adheres to the Twelve-Factor App methodology for configuration management and backing services to simplify multi-environment deployments. Which TWO design strategies must you implement to satisfy these Twelve-Factor App principles?

A. Inject all environment-specific configuration values directly into the compiled application code bundle during the build phase.
B. Maintain a single database schema instance that is shared dynamically across all environments to ensure absolute dev/prod database state parity.
C. Package each database credential and external API endpoint URL inside the application ' s local properties file for strict encapsulation.
D. Externalize configuration values by utilizing environment variables or Kubernetes ConfigMaps to override default microservice settings.
E. Treat backing databases and message brokers as attached resources, allowing them to be swapped via configuration changes without modifying microservice code.

Answer: D,E

Explanation:
The Twelve-Factor methodology requires configuration to be separated from application code and backing services to be treated as attached resources. Oracle ' s Twelve-Factor guidance specifically recommends keeping configuration outside the Docker image and supplying deployment-specific values through the environment. This allows the same application artifact to move between development, test, and production without rebuilding it. Kubernetes ConfigMaps or environment variables implement this principle effectively.
The backing-services factor similarly treats databases, queues, caches, and external services as replaceable resources referenced through configuration rather than hardcoded dependencies. Consequently, switching a database or message broker should require configuration changes rather than application-code changes.
Hardcoding credentials or environment-specific values violates configuration separation, while sharing one database across environments is not required for dev/prod parity. Therefore, B and D are correct.
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NEW QUESTION # 144
Which statement is NOT valid regarding autoscaling configurations in Oracle Cloud Infrastructure Container Engine for Kubernetes (OKE)?

A. The Kubernetes Metrics Server can be deployed as a standalone program to collect resource metrics on both virtual node pools and managed node pools.
B. The Kubernetes Horizontal Pod Autoscaler is supported for adjusting the replica count of deployments running on both virtual node pools and managed node pools.
C. The Kubernetes Vertical Pod Autoscaler is restricted to managed node pools and is not supported for adjusting resources on virtual node pools.
D. The Kubernetes Cluster Autoscaler can be deployed to automatically resize both managed node pools and virtual node pools when pod resource demands change.

Answer: D

Explanation:
Oracle explicitly lists Kubernetes Cluster Autoscaler among the deploymentsnot supported when using OKE virtual nodes. Virtual nodes provide a serverless data-plane model in which Oracle manages the underlying compute capacity, so customers do not resize a conventional virtual-node pool through Kubernetes Cluster Autoscaler. Cluster Autoscaler remains applicable to managed node pools, where worker-node capacity can be increased or decreased according to scheduling demand. Oracle also identifies Vertical Pod Autoscaler as unsupported on virtual nodes, while Metrics Server is supported through a deployment method adapted for virtual nodes. Horizontal Pod Autoscaler operates at the pod/deployment level and can adjust replica counts without requiring customers to resize virtual-node infrastructure. Therefore, B is the NOT valid statement because it incorrectly claims Cluster Autoscaler can resize both managed and virtual node pools.

NEW QUESTION # 145
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