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| Section | Weight | Objectives |
|---|---|---|
| Cloud Native Fundamentals | 11% | - DevOps concepts and CI/CD workflows - OCI developer services and tools overview - Cloud-native principles and microservices architecture |
| Cloud Native Applications and Containerization | 33% | - Deployment and management with Oracle Kubernetes Engine (OKE) - Building containerized applications with Docker - Oracle Container Registry (OCIR) usage |
| Testing and Securing Cloud Native Applications | 13% | - Testing strategies and secure deployment configurations - Application security best practices - Secrets management with OCI Vault |
| Monitoring & Troubleshooting Cloud Native Applications | 10% | - Troubleshooting containerized and serverless workloads - Centralized logging and metrics collection - Application performance monitoring and tracing |
| Leveraging Serverless Technologies for Cloud Native Development | 33% | - API-driven architectures using API Gateway - Oracle Functions development and management - Event-driven architecture with OCI Events, Streaming, and Queue |
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NEW QUESTION # 44
Which one of the following is NOT a valid backend-type supported by Oracle Cloud Infrastructure (OCI) API Gateway?
Answer: A
Explanation:
Oracle Cloud Infrastructure (OCI) API Gateway supports various backend-types to handle incoming requests and route them to the appropriate backend service. However, " ORACLE_STREAMS_BACKEND " is not a valid backend-type in OCI API Gateway. " STOCK_RESPONSE_BACKEND " is a valid backend-type that allows you to configure static responses directly in the API Gateway without routing requests to any specific backend service. This can be useful for handling simple requests or returning predefined responses. " HTTP BACKEND " is another valid backend-type that enables routing requests to an HTTP backend service. " ORACLE_FUNCTIONS_BACKEND " is a valid backend-type that allows you to route requests to Oracle Functions, which are serverless functions that can be used to execute specific logic or operations. However, " ORACLE_STREAMS_BACKEND " is not a valid backend-type in OCI API Gateway. The API Gateway does not have native support for Oracle Streams as a backend service. Oracle Streams is a feature of Oracle Database that provides a publish-subscribe mechanism for data replication and distribution within an Oracle Database environment. It is not directly integrated as a backend service in OCI API Gateway.
NEW QUESTION # 45
Your organization is transitioning a monolithic billing system into a cloud-native microservices application deployed on Oracle Cloud Infrastructure Container Engine for Kubernetes. To maintain high operational excellence under the observability pillar of cloud-native development, the engineering team has successfully set up centralized log aggregation and system metrics. However, you must now implement a solution that can track, visualize, and analyze end-to-end transaction flows and asynchronous call hops across multiple distributed microservices.
Which service should be integrated to fulfill this distributed transaction tracing requirement?
Answer: D
Explanation:
OCI Application Performance Monitoring is specifically designed fordistributed tracingof application transactions across multiple components and services. Oracle states that APM collects and processes trace and span data, allowing administrators to analyze transaction performance, latency, volume, and errors across distributed applications. Trace Explorer can visualize traces containing multiple spans and help identify bottlenecks as requests move between services, databases, functions, and asynchronous components. OCI Monitoring concentrates primarily on metric streams, while Logging Analytics focuses on log aggregation and analysis. Service Mesh can provide service-to-service traffic telemetry and may participate in observability, but APM is the service designed to collect, correlate, and analyze distributed transaction traces.
Therefore, D directly satisfies the end-to-end tracing requirement.
NEW QUESTION # 46
Which statement is NOT valid regarding testing methodologies for cloud native applications?
Answer: D
Explanation:
Statement D is NOT valid. Oracle ' s cloud application architecture guidance explicitly describes integration testing as validating interactions and data flow between components, modules, and services. In a cloud-native architecture, those interactions commonly occur through network-based APIs, service endpoints, databases, and messaging systems. Oracle recommends test environments that resemble production rather than restricting integration testing to isolated developer workstations. Unit testing does focus on individual units of code and typically isolates dependencies. API mocking can emulate unavailable dependent services, while performance testing evaluates responsiveness, scalability, and stability under varying workloads such as load and stress conditions. Therefore, the claim that integration testing is exclusively local and does not validate network communication contradicts the actual purpose of integration testing.
NEW QUESTION # 47
You deployed a Python application to an Oracle Container Engine for Kubernetes (OKE) cluster. However, while testing you found a bug, which you rectified and then created a new Docker image. You now need to ensure that if this new image does not work once deployed, you should be able to roll back to the previous version. Using kubect1, which strategy should you use?
Answer: D
Explanation:
A rolling update is a deployment strategy that gradually replaces the old version of an application with the new version without any downtime4. OKE supports rolling updates by using the kubectl rollout command4. A rolling update allows you to roll back to the previous version if something goes wrong with the new version4.
Therefore, using a rolling update strategy with kubectl ensures that you can roll back to the previous version of your Python application if the new image does not work once deployed.Verified References: Deploy Oracle Container Engine for Kubernetes
NEW QUESTION # 48
What is the maximum execution time of Oracle Functions?
Answer: A
Explanation:
The maximum execution time of Oracle Functions is 300 seconds, which is equivalent to 5 minutes. This means that a function running within Oracle Functions cannot exceed a runtime of 5 minutes. If a function requires longer execution times, alternative approaches such as invoking external services asynchronously or using long-running processes should be considered. It is important to design functions with this execution time limitation in mind to ensure optimal performance and efficiency within the Oracle Functions platform.
NEW QUESTION # 49
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