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Oracle Cloud Infrastructure 2025 Developer Professional Sample Questions (Q33-Q38):

NEW QUESTION # 33
You deployed a Python application to an Oracle Container Engine for Kubernetes (OKE) cluster. However, while testing you found a bug, which you rectified and then created a new Docker image. You now need to ensure that if this new image does not work once deployed, you should be able to roll back to the previous version. Using kubect1, which strategy should you use?

  • A. A/B Testing
  • B. Canary Deployment
  • C. Rolling Update
  • D. Blue/Green Deployment

Answer: C

Explanation:
A rolling update is a deployment strategy that gradually replaces the old version of an application with the new version without any downtime4. OKE supports rolling updates by using the kubectl rollout command4. A rolling update allows you to roll back to the previous version if something goes wrong with the new version4. Therefore, using a rolling update strategy with kubectl ensures that you can roll back to the previous version of your Python application if the new image does not work once deployed. Verified Reference: Deploy Oracle Container Engine for Kubernetes


NEW QUESTION # 34
Which is ONE of the differences between a microservice and a serverless function?

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

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 # 35
You are developing a distributed application and you need a call to a path to always return a specific JSON content deploy an OCI API Gateway with the below API deployment specification. What is the correct value for type? { "routes" : [{ "path" : "/hello", "methods" : ["Get"), "backend" : { "type" : " ---------------- ", "status" : 200, "headers" : [{ "name" : "Content-Type", "value" : "application/json" }] "body" : "{"myjson": "consistent response"}" }}]}

  • A. STOCK_RESPONSE_BACKEND
  • B. HTTP_BACKEND
  • C. CONSTANT_BACKEND
  • D. JSON_BACKEND

Answer: A

Explanation:
The correct value for the "type" field in the API deployment specification is "STOCK_RESPONSE_BACKEND". By setting the "type" to "STOCK_RESPONSE_BACKEND", you are indicating that the backend for the specified route should return a pre-defined response. This type of backend is commonly used when you want a specific response to be returned consistently, regardless of the actual backend service implementation. In this case, the API deployment specification is configured to have a single route with the path "/hello" and the method "GET". The backend section specifies the type as "STOCK_RESPONSE_BACKEND". Additionally, it defines the response status code as 200, sets the "Content-Type" header to "application/json", and provides the JSON content in the "body" field. Using this configuration, any request to the "/hello" path with the "GET" method will always receive a consistent JSON response with the content "{"myjson": "consistent response"}".


NEW QUESTION # 36
Kubernetes includes various elements such as compute, network, and storage. Compute is essentially CPU (units) and memory (bytes). Within an OKE cluster, what is considered to be the smallest unit of deployment with respect to compute?

  • A. Container
  • B. Pod
  • C. Namespace
  • D. Deployment resource
  • E. Service

Answer: B

Explanation:
A pod is the smallest and simplest unit in the Kubernetes object model that you create or deploy2. A pod represents a single instance of a running process in your cluster. Pods contain one or more containers, such as Docker containers. When you create a pod, you define how much CPU and memory (RAM) each container needs. A pod can also include storage volumes, IP addresses, options that govern how the container(s) should run, and more2. Pods are the basic building blocks of larger Kubernetes constructs such as deployments, replica sets, and services2.


NEW QUESTION # 37
Which option best defines microservices?

  • A. A finely tuned piece of software that performs a single or small collection of tasks.
  • B. An open-source system for automating deployment, scaling, and management of containerized applications.
  • C. A statically typed and compiled language.
  • D. An organized collection of structured information or data, typically stored electronically in a computer system.

Answer: A

Explanation:
The correct answer is: "A finely tuned piece of software that performs a single or small collection of tasks." Microservices are a software architectural approach where a system is decomposed into small, independent services that are responsible for performing a specific set of tasks. Each microservice is designed to be focused, finely tuned, and highly cohesive, handling a single or a small collection of related tasks. This granularity allows for better scalability, maintainability, and flexibility in building complex applications. The other options provided do not accurately define microservices: An open-source system for automating deployment, scaling, and management of containerized applications refers to a container orchestration tool like Kubernetes, which can be used to manage microservices but is not a definition of microservices itself. A statically typed and compiled language describes a type of programming language characteristic and is not specific to the concept of microservices. An organized collection of structured information or data, typically stored electronically in a computer system is a definition of a database or data storage system and is unrelated to microservices.


NEW QUESTION # 38
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