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Oracle 1Z0-1084-25 Exam Syllabus Topics:

Topic	Details
Topic 1	Testing and Securing Cloud-Native Applications: This section focuses on testing strategies and security for cloud-native applications. It discusses different testing methodologies, securing sensitive information using OCI Vault, and implementing security measures to address cloud-native development challenges.
Topic 2	Monitoring & Troubleshooting Cloud-Native Applications: This section of the exam focuses on monitoring and troubleshooting cloud-native applications. It covers using OCI Monitoring to track metrics, OCI Logging for managing logs and performing tasks related to monitoring, logging, and tracing for better observability and issue resolution.
Topic 3	Leveraging Serverless Technologies for Cloud Native Development: This section of the exam measures the skills of professionals in serverless development within OCI. It covers creating serverless applications using Oracle Functions, building API gateways for routing traffic, and integrating systems through OCI Streaming Service. Additionally, it explores event-driven architectures using OCI Event Service and how OCI Queue enables asynchronous messaging between microservices.
Topic 4	Cloud Native Applications and Containerization: This section of the exam covers containerization technologies for cloud-native applications. It explains Docker architecture, its components, and the process of pulling and pushing container images using Oracle Cloud Infrastructure Registry (OCIR). It also explores container orchestration, deploying applications on Oracle Kubernetes Engine (OKE), and using OCI Service Mesh for Kubernetes deployments.
Topic 5	Cloud Native Fundamentals: This section of the exam measures the skills of target audience and covers the essential principles of cloud-native development. It explains the core concepts, key pillars, and advantages of cloud-native applications. The section also focuses on microservices architecture, including its design methodology and how it supports scalable, distributed applications.

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Oracle Cloud Infrastructure 2025 Developer Professional Sample Questions (Q94-Q99):

NEW QUESTION # 94
Your team has created a serverless application deployed in Oracle Functions. It uses a Python function leveraging the Oracle Cloud Infrastructure (OCI) Python SDK to stop any OCI compute instance that does not comply with your corporate security standards. Although there are three non-compliant OCI compute instances, when you invoke this function, none of the instances were stopped. With respect to this issue, which of the following is a valid troubleshooting strategy?

A. Enable function remote debugging in the OCI console, and then use your favorite IDE to inspect the function running on Oracle Functions.
B. Ensure that the application is deployed within the same OCI compartment as the instance, because you cannot enable function execution data from the OCI console.
C. Enable function logging in the OCI console, add some print statements in your function code, and then view the logs to troubleshoot.
D. Enable function tracing in the OCI console, and then go to the OCI Monitoring console to view the function stack trace.

Answer: C

Explanation:
The valid troubleshooting strategy in this scenario is to enable function logging in the OCI console, add some print statements in your function code, and then view the logs to troubleshoot. Enabling function logging allows you to capture and store logs generated by your function during its execution. By adding print statements or log statements in your function code, you can output relevant information and debug messages to the logs. This helps you understand the execution flow, identify any errors or issues, and gather more information about the function's behavior. To troubleshoot the issue of the Python function not stopping the non-compliant OCI compute instances, you can follow these steps: Enable function logging in the OCI console: Enable logging for your function to ensure that logs are captured during its execution. Modify your function code: Add relevant print statements or log statements at key points in your code to output debug information or verify the execution flow. For example, you can print the instance details that are being evaluated for compliance. Invoke the function: Trigger the function execution either through an event or manually. View the logs: Access the function logs in the OCI console or retrieve them programmatically. Look for the expected print statements or log entries that indicate the status of each instance and the decisions made by the function. By reviewing the logs, you can analyze the output and identify any issues or discrepancies. It can help you determine if the function is correctly evaluating the compliance criteria, retrieving the instance details, or making the necessary API calls to stop the instances. You may need to adjust your code logic or investigate further based on the information provided in the logs. Enabling function remote debugging is not a suitable strategy in this case because it is primarily used for inspecting and debugging the function code during development, rather than troubleshooting issues in a deployed function. Enabling function tracing can provide insights into the execution flow and performance of the function but may not directly address the issue of the instances not being stopped. Ensuring that the application is deployed within the same OCI compartment as the instance is not directly related to troubleshooting the issue with the non-compliant instances. It is a consideration for access and permissions but does not provide specific insights into the problem at hand. Remember to refer to the Oracle Functions documentation and consult the official resources for detailed instructions and best practices on troubleshooting and monitoring Oracle Functions.

NEW QUESTION # 95
You have just finished building and compiling the software required to implement the API microservice component. You need to rebuild the API docker image, and plan to tag it as: ocIdevops/api:latest Which docker command would re-create the API docker image?

A. docker create -t OCIdevops/api:latest
B. docker image -t OCIdevops/api:latest
C. docker build -t OCIdevops/api:latest
D. docker compile -t OCI devops/api:latest

Answer: C

Explanation:
The correct command to rebuild the API docker image and tag it as OCIdevops/api:latest is: docker build -t OCIdevops/api:latest The docker build command is used to build a Docker image from a Dockerfile. The -t flag is used to specify the name and optionally a tag for the image. In this case, the name of the image is OCIdevops/api and the tag is latest. By running this command, the Docker image will be recreated based on the instructions in the Dockerfile and tagged with the specified name and tag.

NEW QUESTION # 96
Which TWO statements are true for serverless computing and serverless architectures? (Choose two.)

A. Serverless function state should never be stored externally.
B. Long running tasks are perfectly suited for serverless.
C. Serverless function execution is fully managed by third party.
D. Applications running on a FaaS (Functions as a Service) platform.
E. Application DevOps team is responsible for scaling.

Answer: C,D

Explanation:
The two true statements for serverless computing and serverless architectures are: Applications running on a FaaS (Functions as a Service) platform: Serverless architectures typically involve running code in the form of functions on a serverless platform. These functions are event-driven and executed in response to specific triggers or events. Serverless function execution is fully managed by a third party: In serverless computing, the cloud provider takes care of the infrastructure management and resource provisioning. The execution of serverless functions is handled automatically by the platform, relieving developers from the responsibility of managing servers or infrastructure. It's important to note that long running tasks are not typically suited for serverless architectures due to the event-driven nature of serverless functions. Also, while serverless functions may have state, it is recommended to avoid external storage dependencies and instead leverage stateless functions whenever possible. Additionally, scaling in serverless architectures is typically handled automatically by the platform, rather than being the responsibility of the application DevOps team.

NEW QUESTION # 97
Which is ONE of the differences between a microservice and a serverless function?

A. Microservices are triggered by events while serverless functions are not.
B. Microservices always use a data store while serverless functions never use a data store.
C. Microservices are used for long running operations while serverless functions are used for short running operations.
D. Microservices are stateless while serverless functions are stateful.

Answer: C

Explanation:
The correct answer is: Microservices are used for long running operations while serverless functions are used for short running operations. One of the key differences between microservices and serverless functions is the duration of their execution. Microservices are typically designed to handle long-running operations and may continuously run and process requests as part of a larger system. They are often deployed and managed as long-lived services. On the other hand, serverless functions are designed to handle short-lived operations or tasks that execute in response to specific events or triggers. They are event-driven and execute only when invoked, providing a lightweight and ephemeral computing model. Serverless functions are often used for executing small, isolated pieces of code without the need for managing infrastructure or scaling concerns. While both microservices and serverless functions can be stateless or stateful depending on the specific implementation, the key distinction lies in the typical duration and execution pattern of these components within an application architecture.

NEW QUESTION # 98
You have a containerized application that requires access to an Autonomous Transaction Processing (ATP) Database. Which option is NOT valid when the container is deployed in an OKE cluster? (Choose the best answer.)

A. Enable Oracle REST Data Services for the required schemas and connect via HTTPS.
B. Create a Kubernetes secret with contents from the instance Wallet files. Use this secret to create a volume mounted to the appropriate path in the application deployment manifest.
C. Use Kubernetes secrets to configure environment variables on the container with ATP instance OCID, and OCI API credentials. Then use the CreateConnection API endpoint from the service runtime.
D. Install the Oracle Cloud Infrastructure Service Broker on the Kubernetes cluster and deploy ServiceInstance and ServiceBinding resources for ATP. Then use the specified binding name as a volume in the application deployment manifest.

Answer: D

Explanation:
The option that is not valid for connecting to an Autonomous Transaction Processing (ATP) Database from a container in Kubernetes is: Install the Oracle Cloud Infrastructure Service Broker on the Kubernetes cluster and deploy ServiceInstance and ServiceBinding resources for ATP. Then use the specified binding name as a volume in the application deployment manifest. The Oracle Cloud Infrastructure Service Broker is not used for connecting to an ATP Database from a container in Kubernetes. The Service Broker is used for provisioning and managing cloud services directly from Kubernetes. It allows you to create and manage instances of OCI services using Kubernetes resources like ServiceInstance and ServiceBinding. To connect to an ATP Database from a container in Kubernetes, you can use one of the following valid options: Enable Oracle REST Data Services for the required schemas and connect via HTTPS. This involves enabling and configuring Oracle REST Data Services (ORDS) for the schemas in the ATP Database. You can then connect to the ATP Database using RESTful endpoints provided by ORDS. Use Kubernetes secrets to configure environment variables on the container with ATP instance OCID and OCI API credentials. Then use the CreateConnection API endpoint from the service runtime. This approach involves configuring the necessary environment variables on the container to provide the ATP instance OCID and OCI API credentials. The application can then use the OCI SDK or REST API (such as the CreateConnection endpoint) to establish a connection to the ATP Database. Create a Kubernetes secret with contents from the instance Wallet files. Use this secret to create a volume mounted to the appropriate path in the application deployment manifest. This method involves creating a Kubernetes secret that contains the necessary credentials from the ATP Database's instance wallet files. The secret can then be mounted as a volume in the application deployment, allowing the application to access the required credentials for connecting to the ATP Database. Both options 1 and 3 provide valid approaches for connecting to an ATP Database from a container in Kubernetes, depending on the specific requirements and preferences of the application.

NEW QUESTION # 99
......

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Oracle Cloud Infrastructure 2025 Developer Professional Sample Questions (Q94-Q99):

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