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| Section | Weight | Objectives |
|---|
| Cloud Native Fundamentals | 11% | - Cloud Native Principles
- 1. Fundamentals of cloud native development
- 2. Key pillars of cloud native development
- Microservices Architecture
- 1. Microservices design methodology
- 2. Microservices architecture
|
| Leveraging Serverless Technologies for Cloud Native Development | 33% | - Oracle Functions
- 1. Develop serverless applications with Oracle Functions
- OCI Events
- 1. Build event-driven serverless applications
- API Gateway
- 1. Process traffic from API clients
- 2. Route API traffic to backend services
- OCI Queue
- 1. Implement asynchronous messaging for microservices
- OCI Streaming
- 1. Integrate systems using OCI Streaming
- 2. Use streaming for serverless and managed application architectures
|
| Monitoring and Troubleshooting Cloud Native Applications | 10% | - Monitoring, Logging, and Tracing
- 1. Troubleshoot cloud native applications
- 2. Perform monitoring, logging, and tracing tasks
- OCI Monitoring
- 1. Use OCI Monitoring to view metrics
- OCI Logging
- 1. Search and analyze logs
- 2. Enable and manage logs
|
| 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
|
| Testing and Securing Cloud Native Applications | 13% | - Cloud Native Security
- 1. Manage sensitive configuration information
- 2. Apply security measures for cloud native development
- 3. Use OCI Vault to securely manage encryption keys
- Cloud Native Testing
- 1. Cloud native testing methodologies
- 2. Testing strategies for cloud native applications
|
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Oracle Cloud Infrastructure Developer Professional Sample Questions (Q119-Q124):
NEW QUESTION # 119
You are developing a microservice that consumes messages from an Oracle Cloud Infrastructure (OCI) Queue and must delete each message after it is successfully processed. Which OCI CLI command should you use to delete an individual message using its receipt?
- A. oci queue messages delete --message-id < message_id > --queue-id < queue_OCID >
- B. oci queue messages delete --message-receipt < message_receipt > --queue-id < queue_OCID >
- C. oci queue messages delete-message --message-receipt < message_receipt > --queue-id < queue_OCID >
- D. oci queue messages delete-message --message-id < message_id > --queue-id < queue_OCID >
Answer: C
Explanation:
OCI Queue requires the receipt returned when the message was obtained through GetMessages to delete that specific delivery. Oracle explicitly documents the command oci queue messages delete-message --message- receipt < message_receipt > --queue-id < queue_OCID > for deleting one message. A message ID alone is insufficient because deletion operates against the active message receipt associated with the current delivery and visibility state. Oracle provides the separate delete-messages operation for batch deletion and a queue purge operation for removing all messages. Therefore, options A and C use an invalid delete subcommand, while B incorrectly supplies --message-id. Option D exactly matches the current OCI CLI syntax and required receipt-based deletion mechanism.
NEW QUESTION # 120
You are planning the migration of a legacy monolithic billing application to a cloud-native architecture on Oracle Cloud Infrastructure. The application currently relies on a centralized relational database and synchronous local procedure calls, and you must address the primary architectural challenges associated with transitioning to a distributed microservices model.
Which TWO statements represent valid engineering challenges or design strategies that must be considered during this cloud-native migration?
- A. Transitioning to microservices increases the operational complexity of the application, necessitating centralized logging and distributed tracing to troubleshoot service-to-service communication.
- B. Implementing microservices requires adopting eventual consistency patterns, such as the Saga pattern, because distributed databases cannot easily maintain synchronous transactions across service boundaries.
- C. Cloud-native microservices must communicate using synchronous REST APIs exclusively, as asynchronous event-driven communication is not supported within OCI.
- D. Monolithic databases migrated to OCI Object Storage will automatically scale horizontally and support distributed transactions natively for all microservices.
- E. By default, OCI ensures that all distributed containerized microservices automatically share a single, global transaction state across different compartments without any application-level coding.
Answer: A,B
Explanation:
Oracle identifies distributed transaction consistency and observability as major concerns when moving from monoliths to microservices. The Saga pattern addresses cross-service business transactions by dividing them into local transactions and using events plus compensating actions, avoiding long-duration distributed locks.
Oracle also emphasizes unified observability for microservices, including metrics, logs, and traces, because failures become harder to diagnose when calls cross multiple networked services. OCI does not automatically create a global application transaction across compartments, Object Storage is not a transactional relational database replacement, and microservices are not restricted to synchronous REST communication. Oracle explicitly supports asynchronous messaging and event-driven designs for loose coupling. Therefore, A and B correctly describe realistic migration challenges and strategies.
NEW QUESTION # 121
You are configuring a route on an Oracle Cloud Infrastructure API Gateway to an HTTP backend service that takes up to four minutes to execute long-running analytical queries. Which timeout configuration should you apply in the API deployment specification to safely prevent a gateway timeout?
- A. Set the readTimeoutInSeconds parameter to 120.0 seconds.
- B. Set the readTimeoutInSeconds parameter to 480.0 seconds.
- C. Set the readTimeoutInSeconds parameter to 360.0 seconds.
- D. Set the readTimeoutInSeconds parameter to 240.0 seconds.
Answer: D
Explanation:
For an HTTP backend, OCI API Gateway provides readTimeoutInSeconds to control how long the gateway waits for the backend response after the connection has been established. A four-minute backend processing window requires a timeout of 240 seconds, so B is sufficient without exceeding the platform limit. Oracle documents a maximum configurable timeout value of300 secondsfor HTTP backend timeout parameters.
Therefore, the 360-second and 480-second choices exceed the supported range and would not be valid deployment values. A 120-second timeout would expire before the four-minute analytical operation can complete. Thus, 240 seconds is both within the API Gateway limit and aligned with the backend ' s maximum execution duration.
NEW QUESTION # 122
Which TWO statements are true for serverless computing and serverless architectures? (Choose two.)
- A. Application DevOps team is responsible for scaling.
- B. Serverless function execution is fully managed by third party.
- C. Long running tasks are perfectly suited for serverless.
- D. Serverless function state should never be stored externally.
- 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 # 123
How are cloud native application versions deployed to an OKE cluster when using a blue/green deployment strategy?
- A. Current applications are slowly replaced with new application versions.
- B. New application versions are deployed in minor increments to a select group of people.
- C. Both old and new application versions are deployed to production at the same time.
Answer: C
Explanation:
Blue/Green deployment strategy allows releasing a new version of an application using two identical environments where one of them is active at a given time. The current version of the application is provisioned on the active environment, whereas the new version gets deployed to the standby environment1. The traffic is shifted from the active to the standby environment by updating the ingress resource2. Therefore, both old and new application versions are deployed to production at the same time, but only one of them receives the traffic. Verified References: Announcing new deployment strategies for OCI DevOps Service, Blue-Green OKE Deployment
NEW QUESTION # 124
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