Quiz 2025 1Z0-1084-25: Oracle Cloud Infrastructure 2025 Developer Professional–Reliable Online Exam

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Oracle 1Z0-1084-25 Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	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 3	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.
Topic 4	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 5	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.

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Oracle Cloud Infrastructure 2025 Developer Professional Sample Questions (Q83-Q88):

NEW QUESTION # 83
A developer using Oracle Cloud Infrastructure (OCI) API Gateway needs to authenticate the API requests to their web application. The authentication process must be implemented using a custom scheme which accepts string-based parameters from the API caller. Which approach should the developer use in this scenario?

A. Create an authorizer function using OCI Identity and Access Management 91AM) based authentication.
B. Create a cross account functions authorizer.
C. Create an authorizer function using token-based authorization.
D. Create an authorizer function using request header authorization.

Answer: C

Explanation:
In the given scenario, the developer should use the approach of creating an authorizer function using token-based authorization. Token-based authorization is a commonly used approach for authenticating API requests. It involves generating and issuing tokens to API callers, which they can then include in the requests they make to the API. The tokens serve as proof of authentication and are validated by the server to ensure the caller's identity and access rights. By creating an authorizer function using token-based authorization, the developer can implement a custom scheme that accepts string-based parameters from the API caller. This allows the developer to define their own authentication logic and validate the provided tokens according to their requirements. The authorizer function can be configured in the OCI API Gateway to be invoked before forwarding the request to the web application. It will perform the necessary token validation and authentication checks, allowing only authorized requests to access the protected resources of the web application.

NEW QUESTION # 84
Which is ONE of the differences between a microservice and a serverless function?

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

Answer: D

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 # 85
From a DevOps process standpoint, it is a good practice to keep changes to an application under version control. Which of the following allows changes to a Docker image to be stored in a version control system?

A. Executing docker commit
B. Executing docker save
C. Updating docker-compose.yml
D. Updating Dockerfile

Answer: A

Explanation:
The option that allows changes to a Docker image to be stored in a version control system is: docker commit The docker commit command is used to create a new image from a container's changes. It takes a running container as input, captures the changes made to it, and creates a new image with those changes. This new image can then be tagged and pushed to a registry, or saved locally. By using docker commit, you can effectively capture the changes made to a container as a new image and store it in a version control system along with the Dockerfile and other project files. This allows for reproducibility and traceability of changes to the Docker image over time.

NEW QUESTION # 86
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 the APIs in private environments.
B. Test against production APIs.
C. Test using API mocks.
D. There is no need to explicitly test APIs.

Answer: C

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 # 87
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. Enable function tracing in the OCI console, and then go to the OCI Monitoring console to view the function stack trace.
C. 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.
D. Enable function logging in the OCI console, add some print statements in your function code, and then view the logs to troubleshoot.

Answer: D

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 # 88
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Quiz 2025 1Z0-1084-25: Oracle Cloud Infrastructure 2025 Developer Professional–Reliable Online Exam

Oracle 1Z0-1084-25 Exam Syllabus Topics:

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Oracle Cloud Infrastructure 2025 Developer Professional Sample Questions (Q83-Q88):

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