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Oracle Cloud Infrastructure 2025 Developer Professional Sample Questions (Q64-Q69):
NEW QUESTION # 64
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. Rolling Update
- B. Blue/Green Deployment
- C. Canary Deployment
- D. A/B Testing
Answer: A
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 # 65
(CHK_4>3) Your development team decides to create and deploy some business logic to serverless Oracle Functions. You are asked to help facilitate the monitoring, logging, and tracing of these services. Which is NOT valid about troubleshooting Oracle Functions?
- A. Oracle Functions invocation logs are enabled at the application level.
- B. Oracle Functions tracing is enabled at the function level.
- C. Oracle Functions metrics are available at both the function and application level.
- D. Oracle Functions invocation is enabled by default
Answer: B
Explanation:
The option that is NOT valid about troubleshooting Oracle Functions is: "Oracle Functions tracing is enabled at the function level." In Oracle Functions, tracing is not enabled at the function level. Instead, tracing is enabled at the application level. When you enable tracing for an application, it applies to all the functions within that application. Tracing allows you to capture detailed information about the execution flow and performance of the functions, helping you analyze and debug issues. The other options mentioned are valid: Oracle Functions invocation logs are enabled at the application level. Invocation logs provide visibility into the details of function invocations, including input, output, duration, and any error messages. These logs are generated and stored by Oracle Functions, and you can access them for troubleshooting and monitoring purposes. Oracle Functions invocation is enabled by default. Once you deploy a function, it becomes invocable by default. You can configure different triggers to invoke the function, such as HTTP requests, scheduled events, or events from other Oracle Cloud Infrastructure services. Oracle Functions metrics are available at both the function and application level. Metrics provide insights into the usage, performance, and behavior of functions. They can include metrics such as invocations per minute, average duration, and error counts. These metrics can be viewed in the Oracle Cloud Infrastructure Console or accessed programmatically through APIs. It's important to note that the specific configuration and behavior of monitoring, logging, and tracing in Oracle Functions may depend on the version, configuration, and options you have chosen. It is recommended to refer to the Oracle Functions documentation and consult the official documentation for accurate and up-to-date information on troubleshooting and monitoring Oracle Functions.
NEW QUESTION # 66
Your organization is developing serverless applications with Oracle Functions. Many functions will need to store state data in a database, which will require using appropriate credentials. However, your corporate security standards mandate encryption of secret information, such as database passwords. How would you address this security requirement?
- A. Leverage application-level configuration variables to store passwords because they are automatically encrypted by Oracle Functions.
- B. Encrypt the password using the OCI Vault service and then decrypt this password in your function code with the generated key.
- C. Use OCI Console to enter the password in the function configuration section in the provided input field.
- D. Use the OCI Vault service to auto-encrypt the password and then set an application-level configuration variable to reference the auto-decrypted password inside your function container.
Answer: B
Explanation:
The best way to store and use secret information, such as database passwords, in Oracle Functions is to use the OCI Vault service. The OCI Vault service provides encryption and decryption capabilities for sensitive data. You can use the OCI Vault service to encrypt the password and store it as an application-level configuration variable. Then, you can use the generated key to decrypt the password in your function code when you need to access the database. Verified Reference: Oracle Functions: Using Key Management To Encrypt And Decrypt Configuration Variables
NEW QUESTION # 67
Which TWO statements are true for serverless computing and serverless architectures? (Choose two.)
- A. Serverless function state should never be stored externally.
- B. Serverless function execution is fully managed by third party.
- C. Long running tasks are perfectly suited for serverless.
- D. Application DevOps team is responsible for scaling.
- E. Applications running on a FaaS (Functions as a Service) platform.
Answer: B,E
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 # 68
Which of the following is NOT a criterion that is usually met by a microservice?
- A. Tightly coupled
- B. Highly maintainable
- C. Independently deployable
- D. Organized around business capabilities.
Answer: A
Explanation:
The correct answer is: "Tightly coupled." Tightly coupling is not a criterion that is usually met by a microservice. In fact, microservices are designed to be loosely coupled. Loosely coupling refers to reducing dependencies and minimizing the direct interactions between different components or services. Microservices promote independence and autonomy, allowing each service to operate independently without being tightly bound to other services. The other options listed are criteria that are typically met by microservices: Organized around business capabilities: Microservices architecture suggests designing services around specific business capabilities or functionalities. This allows for focused and specialized services that align with the organization's business needs. Independently deployable: Microservices are designed to be independently deployable units. Each microservice can be developed, tested, and deployed separately, without impacting other services. This enables agility and scalability in the deployment process. Highly maintainable: Microservices are often designed to be highly maintainable. They are smaller in scope and focused on specific tasks, making it easier to manage and maintain individual services. Additionally, microservices can be updated, patched, or replaced without affecting the entire system, facilitating easier maintenance and evolution of the application. Therefore, the criterion that is NOT typically met by a microservice is being tightly coupled.
NEW QUESTION # 69
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