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Oracle Cloud Infrastructure 2025 Developer Professional Valid Test Topics & 1Z0-1084-25 Free Download Demo & Oracle Cloud Infrastructure 2025 Developer Professional Practice Test Training

Oracle Cloud Infrastructure 2025 Developer Professional Valid Test Topics & 1Z0-1084-25 Free Download Demo & Oracle Cloud Infrastructure 2025 Developer Professional Practice Test Training

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Oracle Cloud Infrastructure 2025 Developer Professional Sample Questions (Q20-Q25):

NEW QUESTION # 20
You plan to implement logging in your services that will run in Oracle Cloud Infrastructure (OCI) Container Engine for Kubernetes (OKE). Which statement describes the appropriate logging approach?

  • A. All services log to standard output only.
  • B. All services log to an external logging system.
  • C. All serviceAAs log to a shared log file.
  • D. Each service logs to its own log file.

Answer: A

Explanation:
The appropriate logging approach for services running in Oracle Cloud Infrastructure (OCI) Container Engine for Kubernetes (OKE) is: "All services log to standard output only." When running services in a containerized environment like OKE, it is recommended to follow the Twelve-Factor App methodology, which suggests treating logs as event streams. According to this methodology, services should write their log events to standard output (stdout) instead of writing to log files. By logging to standard output, the container runtime (such as Kubernetes) can collect and aggregate the logs generated by the services. These logs can then be accessed and managed through the container runtime's logging infrastructure. Logging to standard output offers several advantages in a containerized environment: Simplicity and consistency: Standardizing on logging to stdout ensures a consistent approach across different services, making it easier to manage and analyze logs. Log aggregation: The container runtime can collect the logs from all the running containers and provide centralized log management, allowing you to access and search logs from different services in one place. Scalability: Since logs are written to stdout, they can be easily handled by the container runtime's log management system, which can scale to handle large volumes of log data. Separation of concerns: By logging to stdout, the responsibility of managing log files and their rotation is shifted to the container runtime, allowing the services to focus on their core functionality. While it is possible to log to log files or external logging systems, the recommended approach in a containerized environment like OKE is to log to standard output and leverage the logging infrastructure provided by the container runtime.


NEW QUESTION # 21
What is the maximum execution time of Oracle Functions?

  • A. 60 seconds
  • B. 120 seconds
  • C. 240 seconds
  • D. 300 seconds

Answer: D

Explanation:
The maximum execution time of Oracle Functions is 300 seconds, which is equivalent to 5 minutes. This means that a function running within Oracle Functions cannot exceed a runtime of 5 minutes. If a function requires longer execution times, alternative approaches such as invoking external services asynchronously or using long-running processes should be considered. It is important to design functions with this execution time limitation in mind to ensure optimal performance and efficiency within the Oracle Functions platform.


NEW QUESTION # 22
Which concept in OCI Queue is responsible for hiding a message from other consumers for a predefined amount of time after it has been delivered to a consumer?

  • A. Delivery count
  • B. Visibility timeout
  • C. Polling timeout
  • D. Maximum retention period

Answer: B

Explanation:
Visibility timeout is the concept in OCI Queue that is responsible for hiding a message from other consumers for a predefined amount of time after it has been delivered to a consumer1. The visibility timeout can be set at the queue level when creating a queue, or it can be specified when consuming or updating messages1. If a consumer is having difficulty successfully processing a message, it can update the message to extend its invisibility1. If a message's visibility timeout is not extended, and the consumer does not delete the message, it returns to the queue1. Verified Reference: Overview of Queue


NEW QUESTION # 23
What are the TWO main reasons you would choose to implement a serverless architecture? (Choose two.)

  • A. Automatic horizontal scaling
  • B. Reduced operational cost
  • C. Improved in-function state management
  • D. Easier to run long-running operations
  • E. No need for integration testing

Answer: A,B

Explanation:
The two main reasons to choose a serverless architecture are: Automatic horizontal scaling: Serverless architectures allow for automatic scaling of resources based on demand. The infrastructure automatically provisions and scales resources as needed, ensuring that applications can handle varying workloads efficiently. This eliminates the need for manual scaling and optimizes resource utilization. Reduced operational cost: Serverless architectures follow a pay-per-use model, where you are billed only for the actual execution time and resources consumed by your functions. This leads to cost savings as you don't have to pay for idle resources. Additionally, serverless architectures remove the need for managing and maintaining servers, reducing operational overhead and associated costs. Explanation:: No need for integration testing: Integration testing is still necessary in serverless architectures to ensure that functions integrate correctly with other components and services. Serverless functions can interact with various event sources, databases, and APIs, and testing is required to verify the integration points. Improved in-function state management: Serverless architectures typically encourage stateless functions that operate on short-lived requests or events. While there are mechanisms to manage state within a function, serverless architectures are designed to be stateless by default, promoting scalability and fault tolerance. Easier to run long-running operations: Serverless functions are generally designed for short-lived operations rather than long-running tasks. If you have a requirement for long-running operations, a serverless architecture may not be the ideal choice, as it has execution time limits and may not provide the necessary resources for extended execution.


NEW QUESTION # 24
You want to push a new image in the Oracle Cloud Infrastructure (OCI) Registry. Which TWO actions would you need to perform? (Choose two.)

  • A. Generate an auth token to complete the authentication via Docker CLI.
  • B. Generate an OCI tag namespace in your repository.
  • C. Assign a tag via Docker CLI to the image.
  • D. Generate an API signing key to complete the authentication via Docker CLI.
  • E. Assign an OCI defined tag via OCI CLI to the image.

Answer: A,C

Explanation:
To push a new image to the Oracle Cloud Infrastructure (OCI) Registry, you would need to perform the following two actions: Assign a tag via Docker CLI to the image: Before pushing the image, you need to assign a tag to it using the Docker CLI. The tag helps identify the image and associate it with a specific version or label. Generate an auth token to complete the authentication via Docker CLI: To authenticate and authorize the push operation, you need to generate an auth token. This token is used to authenticate your Docker CLI with the OCI Registry, allowing you to push the image securely. Note: Generating an API signing key, assigning an OCI defined tag via OCI CLI, and generating an OCI tag namespace are not required steps for pushing a new image to the OCI Registry.


NEW QUESTION # 25
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