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| Section | Weight | Objectives |
|---|
| Topic 1: 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. Enable and manage logs
- 2. Search and analyze logs
|
| Topic 2: Cloud Native Applications and Containerization | 33% | - Docker and Containerization
- 1. Containerization concepts
- 2. Docker architecture and components
- Container Orchestration
- 1. Role of container orchestration
- 2. Deploy containerized applications on Oracle Kubernetes Engine
- Oracle Cloud Infrastructure Registry
- 1. Pull container images from OCIR
- 2. Push container images to OCIR
|
| Topic 3: Testing and Securing Cloud Native Applications | 13% | - Cloud Native Testing
- 1. Cloud native testing methodologies
- 2. Testing strategies for cloud native applications
- Cloud Native Security
- 1. Apply security measures for cloud native development
- 2. Use OCI Vault to securely manage encryption keys
- 3. Manage sensitive configuration information
|
| Topic 4: Cloud Native Fundamentals | 11% | - Microservices Architecture
- 1. Microservices architecture
- 2. Microservices design methodology
- Cloud Native Principles
- 1. Fundamentals of cloud native development
- 2. Key pillars of cloud native development
|
| Topic 5: 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 Streaming
- 1. Use streaming for serverless and managed application architectures
- 2. Integrate systems using OCI Streaming
- OCI Queue
- 1. Implement asynchronous messaging for microservices
|
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Oracle Cloud Infrastructure Developer Professional Sample Questions (Q67-Q72):
NEW QUESTION # 67
A service you are deploying to Oracle Cloud Infrastructure (OCI) Container Engine for Kubernetes (OKE) uses a docker image from a private repository in OCI Registry (OCIR). Which configuration is necessary to provide access to this repository from OKE?
- A. Add a generic secret on the cluster containing your identity credentials. Then specify a registryCredentials property in the deployment manifest.
- B. Create a docker-registry secret for OCIR with API key credentials on the cluster, and specify the imagePullSecret property in the application deployment manifest.
- C. Create a docker-registry secret for OCIR with identity Auth Token on the cluster, and specify the imagePullSecret property in the application deployment manifest.
- D. Create a dynamic group for nodes in the cluster, and a policy that allows the dynamic group to read repositories in the same compartment.
Answer: C
NEW QUESTION # 68
Which query language is tailored specifically to request and search distributed tracing data in the OCI Application Performance Monitoring Trace Explorer?
- A. Logging Query Language (LQL)
- B. Trace Query Language (TQL)
- C. Analytics Query Language (AQL)
- D. Monitoring Query Language (MQL)
Answer: B
Explanation:
Oracle Application Performance Monitoring provides a dedicated query language in Trace Explorer for investigating distributed traces and their associated spans. Oracle documentation refers to it as theTrace Explorer Query Language, which uses a simplified SQL-like syntax with clauses such as show, filters, grouping, and aggregation. Among the supplied choices, this corresponds to Trace Query Language (TQL).
LQL belongs to OCI Logging and is used for searching log records, while MQL belongs to OCI Monitoring and operates on metric streams. AQL is not the Trace Explorer query language. Trace Explorer queries are specifically optimized for dimensions such as service names, operations, spans, traces, durations, and errors, making C the correct answer.
NEW QUESTION # 69
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 # 70
As a cloud-native developer, you are designing an application that depends on Oracle Cloud Infrastructure (OCI) Object Storage wherever the application is running. Therefore, provisioning of storage buckets should be part of your Kubernetes deployment process for the application. Which of the following should you leverage to meet this requirement? (Choose the best answer.)
- A. Open Service Broker API
- B. OCI Container Engine for Kubernetes
- C. OCI Service Broker for Kubernetes
- D. Oracle Functions
Answer: C
Explanation:
To provision storage buckets as part of your Kubernetes deployment process for an application that depends on Oracle Cloud Infrastructure (OCI) Object Storage, you should leverage the OCI Service Broker for Kubernetes. OCI Service Broker for Kubernetes enables you to provision and manage OCI resources, including Object Storage buckets, directly from Kubernetes. It provides a Kubernetes-native experience for managing OCI services, allowing you to define and manage OCI resources as part of your application deployment process. By using the OCI Service Broker for Kubernetes, you can define the required Object Storage buckets in your Kubernetes manifests, and the service broker will handle the provisioning and management of those buckets in OCI, ensuring that they are available for your application wherever it is running.
NEW QUESTION # 71
Your enterprise is migrating a synchronous order fulfillment system to a distributed microservices architecture on Oracle Cloud Infrastructure. The development team originally implemented a Two-Phase Commit protocol to handle transactions spanning multiple databases, but it caused severe performance bottlenecks due to extended resource locking periods. You must now design a decentralized transaction strategy that processes steps as a sequence of independent local transactions, publishes events to coordinate subsequent steps, and executes compensating actions if a step fails. Which transaction design pattern should you implement to meet these requirements?
- A. Transactional Outbox Pattern
- B. Event Aggregation Pattern
- C. Two-Phase Commit Pattern
- D. Saga Design Pattern
Answer: D
Explanation:
The Saga Design Pattern is specifically intended for distributed transactions across microservices without the extended locking associated with Two-Phase Commit. Oracle explains that a Saga decomposes a business transaction into a sequence of independent local transactions. After completing its local operation, each service publishes an event or message that triggers the next participant. If a subsequent step fails, corresponding compensating transactions reverse previously completed operations and restore consistent business state. This approach shortens lock duration and supports eventual consistency across separate databases. Transactional Outbox solves reliable database-update-and-message-publishing coordination but does not by itself manage the entire distributed transaction sequence. Therefore, the required pattern is the Saga Design Pattern.
NEW QUESTION # 72
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