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| Section | Weight | Objectives |
|---|
| Monitoring and Troubleshooting Cloud Native Applications | 10% | - OCI Logging
- 1. Search and analyze logs
- 2. Enable and manage logs
- OCI Monitoring
- 1. Use OCI Monitoring to view metrics
- Monitoring, Logging, and Tracing
- 1. Perform monitoring, logging, and tracing tasks
- 2. Troubleshoot cloud native applications
|
| Cloud Native Applications and Containerization | 33% | - Container Orchestration
- 1. Role of container orchestration
- 2. Deploy containerized applications on Oracle Kubernetes Engine
- Docker and Containerization
- 1. Docker architecture and components
- 2. Containerization concepts
- Oracle Cloud Infrastructure Registry
- 1. Pull container images from OCIR
- 2. Push container images to OCIR
|
| Leveraging Serverless Technologies for Cloud Native Development | 33% | - 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
- 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
|
| Cloud Native Fundamentals | 11% | - Microservices Architecture
- 1. Microservices design methodology
- 2. Microservices architecture
- Cloud Native Principles
- 1. Key pillars of cloud native development
- 2. Fundamentals of cloud native development
|
| Testing and Securing Cloud Native Applications | 13% | - Cloud Native Testing
- 1. Testing strategies for cloud native applications
- 2. Cloud native testing methodologies
- Cloud Native Security
- 1. Use OCI Vault to securely manage encryption keys
- 2. Manage sensitive configuration information
- 3. Apply security measures for cloud native development
|
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Oracle Cloud Infrastructure Developer Professional Sample Questions (Q108-Q113):
NEW QUESTION # 108
You are deploying a set of Java microservices to an Oracle Cloud Infrastructure Container Engine for Kubernetes cluster. You must ensure that the application design strictly adheres to the Twelve-Factor App methodology for configuration management and backing services to simplify multi-environment deployments. Which TWO design strategies must you implement to satisfy these Twelve-Factor App principles?
- A. Maintain a single database schema instance that is shared dynamically across all environments to ensure absolute dev/prod database state parity.
- B. Treat backing databases and message brokers as attached resources, allowing them to be swapped via configuration changes without modifying microservice code.
- C. Inject all environment-specific configuration values directly into the compiled application code bundle during the build phase.
- D. Externalize configuration values by utilizing environment variables or Kubernetes ConfigMaps to override default microservice settings.
- E. Package each database credential and external API endpoint URL inside the application ' s local properties file for strict encapsulation.
Answer: B,D
Explanation:
The Twelve-Factor methodology requires configuration to be separated from application code and backing services to be treated as attached resources. Oracle ' s Twelve-Factor guidance specifically recommends keeping configuration outside the Docker image and supplying deployment-specific values through the environment. This allows the same application artifact to move between development, test, and production without rebuilding it. Kubernetes ConfigMaps or environment variables implement this principle effectively.
The backing-services factor similarly treats databases, queues, caches, and external services as replaceable resources referenced through configuration rather than hardcoded dependencies. Consequently, switching a database or message broker should require configuration changes rather than application-code changes.
Hardcoding credentials or environment-specific values violates configuration separation, while sharing one database across environments is not required for dev/prod parity. Therefore, B and D are correct.
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NEW QUESTION # 109
You have two microservices, A and B running in production. Service A relies on APIs from service B. You want to test changes to service A without deploying all of its dependencies, which includes service B. Which approach should you take to test service A?
- A. Test using an API mock of service B.
- B. Test using a previous test version of service B.
- C. Test using the current production version of service B.
- D. This is not possible because service B is a dependency.
Answer: A
Explanation:
The correct answer is: Test using an API mock of service B. To test service A without deploying all of its dependencies, including service B, you can use an API mock of service B. An API mock is a simulated version of the API that mimics the behavior of the actual service. By using an API mock, you can isolate the testing of service A and simulate the responses and behavior of service B ' s APIs. With an API mock, you can define the expected responses and behavior of service B ' s APIs, allowing you to test the integration between service A and the mocked version of service B. This approach enables you to verify the functionality of service A without relying on the availability or changes in the actual service B. By decoupling the dependencies and using an API mock, you can perform independent testing of service A, ensuring its functionality in isolation.
NEW QUESTION # 110
You are developing an asynchronous, decoupled billing microservice that consumes payment messages from an Oracle Cloud Infrastructure (OCI) Queue. You notice that some corrupted payment payloads are causing the consumer application to fail and restart repeatedly, leaving the messages unprocessed and blocking the queue. To isolate these toxic messages, you want to redirect them to a Dead Letter Queue (DLQ) after 5 failed delivery attempts.
Which TWO configuration steps or characteristics must you apply to implement this solution?
- A. A separate target queue must be manually created first and then selected as the designated Dead Letter Queue.
- B. Configure an IAM policy specifically allowing the source queue to write to a target DLQ queue.
- C. Modify the " Maximum delivery attempts " setting of the queue to 5.
- D. A dead letter queue is automatically created when you create the queue, so no manual DLQ resource creation is required.
- E. Enable consumer groups on the queue because DLQ functionality is only supported when utilizing consumer groups.
Answer: C,D
Explanation:
The supplied Word answer key requires correction here. Current Oracle Queue documentation explicitly states that adead letter queue is automatically created when a queue is created. Therefore, option C is correct and option B is not. Oracle also provides the Maximum delivery attempts setting, which controls how many unsuccessful deliveries can occur before a problematic message is transferred to the DLQ. Setting that value to 5 implements the requested retry threshold. No separately provisioned target queue is required, consumer groups are optional and unrelated to enabling DLQ functionality, and administrators do not create an IAM policy authorizing a source queue resource to write to its automatically associated DLQ. Consequently, the verified current answer isA, C, not the Word file ' s A, B.
NEW QUESTION # 111
Having created a Container Engine for Kubernetes (OKE) cluster, you can use Oracle Cloud Infrastructure (OCI) Logging to view and search the logs of applications running on the worker node compute instances in the cluster. Which task is NOT required to collect and parse application logs? (Choose the best answer.)
- A. Create a dynamic group with a rule that includes all worker nodes In the cluster.
- B. Set the OCI Logging option to Enabled for the cluster.
- C. Enable monitoring for all worker nodes in the cluster.
- D. Configure a custom log in OCI Logging with the appropriate agent configuration.
Answer: C
Explanation:
The correct answer is: Enable monitoring for all worker nodes in the cluster. Enabling monitoring for all worker nodes in the cluster is not required to collect and parse application logs using Oracle Cloud Infrastructure (OCI) Logging. Monitoring is a separate feature that allows you to collect metrics and monitor the health and performance of the worker nodes. To collect and parse application logs, you need to perform the following tasks: Set the OCI Logging option to Enabled for the cluster: This enables the OCI Logging service for the cluster. Create a dynamic group with a rule that includes all worker nodes in the cluster: This helps in targeting the logs generated by the worker nodes. Configure a custom log in OCI Logging with the appropriate agent configuration: This involves specifying the log source, log path, and log format to parse and collect the application logs. By completing these tasks, you can collect and parse the application logs generated by the applications running on the worker node compute instances in the OKE cluster.
NEW QUESTION # 112
Which credential type is required to act as the password when authenticating the Docker CLI to Oracle Cloud Infrastructure Registry?
- A. Customer Secret Key
- B. API Signing Key
- C. Console Password
- D. OCI Auth Token
Answer: D
Explanation:
Oracle Container Registry requires an OCI Auth Token when Docker prompts for the password during docker login. Oracle explicitly documents that the user first generates an auth token under the OCI user profile, then supplies the tenancy namespace and username as the Docker username and the auth token as the password. A Console password is intended for interactive OCI Console authentication and is not the Docker Registry credential. API signing keys authenticate signed OCI API requests used by the CLI, SDKs, and related tools, while Customer Secret Keys are associated with Object Storage compatibility APIs. Consequently, the programmatic credential designed specifically to serve as the Docker Registry password is the OCI Auth Token.
NEW QUESTION # 113
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