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| Section | Weight | Objectives |
|---|
| Cloud Native Fundamentals | 11% | - Cloud Native Principles
- 1. Key pillars of cloud native development
- 2. Fundamentals of cloud native development
- Microservices Architecture
- 1. Microservices architecture
- 2. Microservices design methodology
|
| Cloud Native Applications and Containerization | 33% | - Container Orchestration
- 1. Deploy containerized applications on Oracle Kubernetes Engine
- 2. Role of container orchestration
- Oracle Cloud Infrastructure Registry
- 1. Pull container images from OCIR
- 2. Push container images to OCIR
- Docker and Containerization
- 1. Docker architecture and components
- 2. Containerization concepts
|
| Monitoring and Troubleshooting Cloud Native Applications | 10% | - Monitoring, Logging, and Tracing
- 1. Perform monitoring, logging, and tracing tasks
- 2. Troubleshoot cloud native applications
- OCI Monitoring
- 1. Use OCI Monitoring to view metrics
- OCI Logging
- 1. Search and analyze logs
- 2. Enable and manage logs
|
| Testing and Securing Cloud Native Applications | 13% | - Cloud Native Security
- 1. Manage sensitive configuration information
- 2. Use OCI Vault to securely manage encryption keys
- 3. Apply security measures for cloud native development
- Cloud Native Testing
- 1. Testing strategies for cloud native applications
- 2. Cloud native testing methodologies
|
| Leveraging Serverless Technologies for Cloud Native Development | 33% | - OCI Queue
- 1. Implement asynchronous messaging for microservices
- OCI Events
- 1. Build event-driven serverless applications
- API Gateway
- 1. Process traffic from API clients
- 2. Route API traffic to backend services
- Oracle Functions
- 1. Develop serverless applications with Oracle Functions
- OCI Streaming
- 1. Use streaming for serverless and managed application architectures
- 2. Integrate systems using OCI Streaming
|
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Oracle Cloud Infrastructure Developer Professional Sample Questions (Q17-Q22):
NEW QUESTION # 17
Your organization has deployed a custom OCI Authorizer Function in a compartment named secure-auth- compartment to perform token-based validation for all ingress traffic. You have set up an API Gateway in a compartment named public-gateway-compartment with an associated dynamic group named apigw-dg containing the gateway instance. The API Gateway deployment is currently returning HTTP 500 errors because the gateway lacks the necessary permissions to invoke the authorizer function during request validation. Which minimal IAM policy statement should you write to grant the API Gateway the required permission to successfully invoke the authorizer function?
- A. Allow dynamic-group apigw-dg to use functions-family in compartment secure-auth-compartment
- B. Allow dynamic-group apigw-dg to inspect functions-family in compartment public-gateway- compartment
- C. Allow dynamic-group apigw-dg to read functions-family in compartment public-gateway-compartment
- D. Allow dynamic-group apigw-dg to manage functions-family in compartment secure-auth-compartment
Answer: A
Explanation:
Oracle ' s documented API Gateway-to-Functions integration uses a dynamic group representing the API Gateway and an IAM policy granting that dynamic group use functions-family in the compartment containing the target Function. The use verb provides the operational permission necessary for invocation without granting unnecessary administrative control. manage functions-family would be excessively privileged because it includes lifecycle management capabilities. The read and inspect verbs are insufficient for executing a Function and, in options C and D, are also scoped to the wrong compartment. Because the authorizer resides in secure-auth-compartment, authorization must apply there. Consequently, A implements the Oracle-documented pattern and satisfies least privilege for API Gateway invocation of the custom authorizer Function.
NEW QUESTION # 18
Which configuration parameter defines the duration a message remains inside an Oracle Cloud Infrastructure (OCI) Queue before being automatically deleted by the service if it is not consumed?
- A. Visibility timeout
- B. Maximum retention period
- C. Polling timeout
- D. Maximum delivery attempts
Answer: B
Explanation:
Themaximum retention perioddefines the total amount of time OCI Queue retains a message before automatically deleting it if a consumer has not removed it. Oracle currently allows this value to be configured from 10 seconds through seven days, with a default of one day. Visibility timeout serves a different purpose:
after a consumer retrieves a message, it temporarily hides that message from other consumers. Maximum delivery attempts controls how many unsuccessful delivery cycles can occur before a message is moved to the dead letter queue. Polling timeout determines how long a consumer request waits for messages to become available. Therefore, only the maximum retention period controls the overall lifetime of an unremoved message in OCI Queue.
NEW QUESTION # 19
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 an external logging system.
- B. Each service logs to its own log file.
- C. All serviceAAs log to a shared log file.
- D. All services log to standard output only.
Answer: D
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 # 20
Which component of the Docker architecture is the persistent background service responsible for managing container lifecycles, local images, networks, and storage volumes?
- A. Docker Client
- B. Docker Registry
- C. Docker Compose
- D. Docker Daemon
Answer: D
Explanation:
The Docker daemon, implemented as the dockerd background process, runs continuously on a Docker host and performs the server-side container-management operations requested through the Docker API. It manages container execution, images, storage drivers and volumes, and networking. The Docker client is the command interface that sends requests to that daemon; it does not itself manage container lifecycles. A Docker registry such as OCIR stores and distributes images remotely, while Docker Compose describes and coordinates multi- container application configurations. Oracle ' s Linux container documentation explicitly refers to the Docker Engine daemon and its dockerd process, and Oracle Functions troubleshooting likewise distinguishes the local Docker client/daemon from the remote registry. Therefore, the persistent management component described in the question is the Docker Daemon.
NEW QUESTION # 21
A developer has created another version of a microservice and wants 10% of the traffic to flow towards it for testing purposes. The application is already configured using OCI (Oracle Cloud Infrastructure) Service Mesh. Which of the following steps is the right approach to achieve this goal?
- A. Create a new entry in the routeRules field of the ingress gateway route table manifest to configure traffic splitting between the old and new versions of the microservice and set the percentage to 10%.
- B. Use Kubernetes HPA (Horizontal Pod Autoscaler) to scale the new version of the microservice to handle 10% of the traffic automatically.
- C. Create a new entry in the routeRules field of the virtual service route table manifest to configure traffic splitting between the old and new versions of the microservice and set the percentage to 10%.
- D. Create a new Kubernetes deployment for the new version of the microservice and set the traffic splitting percentage to 10% in the Kubernetes service manifest.
Answer: C
NEW QUESTION # 22
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