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| Section | Weight | Objectives |
|---|
| Testing and Securing Cloud Native Applications | 13% | - Cloud Native Security
- 1. Apply security measures for cloud native development
- 2. Manage sensitive configuration information
- 3. Use OCI Vault to securely manage encryption keys
- Cloud Native Testing
- 1. Cloud native testing methodologies
- 2. Testing strategies for cloud native applications
|
| 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 Fundamentals | 11% | - Microservices Architecture
- 1. Microservices design methodology
- 2. Microservices architecture
- Cloud Native Principles
- 1. Fundamentals of cloud native development
- 2. Key pillars of cloud native development
|
| Leveraging Serverless Technologies for Cloud Native Development | 33% | - OCI Streaming
- 1. Use streaming for serverless and managed application architectures
- 2. Integrate systems using OCI Streaming
- API Gateway
- 1. Route API traffic to backend services
- 2. Process traffic from API clients
- Oracle Functions
- 1. Develop serverless applications with Oracle Functions
- OCI Queue
- 1. Implement asynchronous messaging for microservices
- OCI Events
- 1. Build event-driven serverless applications
|
| Cloud Native Applications and Containerization | 33% | - Oracle Cloud Infrastructure Registry
- 1. Push container images to OCIR
- 2. Pull container images from OCIR
- Container Orchestration
- 1. Role of container orchestration
- 2. Deploy containerized applications on Oracle Kubernetes Engine
- Docker and Containerization
- 1. Containerization concepts
- 2. Docker architecture and components
|
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Oracle Cloud Infrastructure Developer Professional Sample Questions (Q63-Q68):
NEW QUESTION # 63
Assuming that your function does NOT have the --provisioned-concurrency option enabled, which parameter is used to configure the time period during which an idle function will remain in memory before Oracle Functions removes its container image from memory?
- A. timeout
- B. idle-timeout
- C. access-timeout
- D. None, as this time is not configurable.
Answer: B
Explanation:
Idle-timeout is the parameter that is used to configure the time period during which an idle function will remain in memory before Oracle Functions removes its container image from memory2. The idle-timeout parameter is specified in seconds and can be set when creating or updating a function2. The default value for idle-timeout is 30 seconds and the maximum value is 900 seconds (15 minutes)2. If a function has the -- provisioned-concurrency option enabled, the idle-timeout parameter is ignored and the function instances are always kept in memory3.Verified References: Creating Functions, Provisioned Concurrency
NEW QUESTION # 64
You are troubleshooting a containerized microservice on a development host and need to obtain its full configuration metadata, including network settings and volume mounts, in JSON format. Which command should you run to retrieve this detailed information?
- A. docker stats
- B. docker system
- C. docker inspect
- D. docker history
Answer: C
Explanation:
The docker inspect command retrieves detailed low-level metadata for Docker objects and returns the information in JSON format by default. Oracle ' s Docker documentation explicitly states that docker inspect can obtain full information about a container in JSON format and can expose specific configuration elements through formatting options. This includes network configuration, mapped ports, mounted storage, environment details, container state, and other runtime properties. docker stats provides live CPU, memory, network, and I/O utilization rather than static configuration metadata. docker history examines the image layer history and Dockerfile-derived changes. docker system provides system-wide administration commands and cleanup operations rather than detailed inspection of an individual container. Therefore, docker inspect is the appropriate troubleshooting command.
NEW QUESTION # 65
A company is developing a new application that needs to process transactions in real time. The company wants to ensure that all transactions are processed in order and that no transaction is lost. Which of these is a correct strategy for leveraging OCI Queue in this scenario?
- A. Use a separate queue for each application instance.
- B. Use a single queue to process all transactions.
- C. Use a separate queue for each type of transaction.
- D. Use a priority queue to prioritize requests.
Answer: B
Explanation:
OCI Queue is a service for enabling asynchronous (decoupled) communication in a serverless manner3. Queue handles high-volume transactional data that requires independent processing without loss or duplication3. Queue supports ordering of messages within a queue by using the FIFO (first-in-first-out) delivery option3. Therefore, using a single queue to process all transactions ensures that all transactions are processed in order and that no transaction is lost.Verified References: Overview of Queue
NEW QUESTION # 66
Which of these is a valid use case for OCI Queue?
- A. Managing network traffic between services
- B. Building decoupled and scalable systems
- C. Storing and retrieving large files
- D. Sending real-time streaming data
Answer: B
Explanation:
OCI Queue is a fully managed serverless service that helps decouple systems and enable asynchronous operations2. Queue handles high-volume transactional data that requires independently processed messages without loss or duplication2. A valid use case for OCI Queue is building decoupled and scalable systems, such as event-driven architectures or microservices-based applications2. For example, you can use Queue to decouple your application and build an event-driven architecture. Decoupling ensures that individual application components can scale independently and that you can future-proof your design so that as new application components are built, they can publish or subscribe to the queue2.
NEW QUESTION # 67
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. Use Kubernetes HPA (Horizontal Pod Autoscaler) to scale the new version of the microservice to handle 10% of the traffic automatically.
- B. 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.
- C. 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%.
- D. 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%.
Answer: D
NEW QUESTION # 68
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