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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Monitoring & Troubleshooting Cloud Native Applications | 10% | - Troubleshooting containerized and serverless workloads - Centralized logging and metrics collection - Application performance monitoring and tracing |
| Topic 2: Cloud Native Fundamentals | 11% | - OCI developer services and tools overview - Cloud-native principles and microservices architecture - DevOps concepts and CI/CD workflows |
| Topic 3: Testing and Securing Cloud Native Applications | 13% | - Secrets management with OCI Vault - Testing strategies and secure deployment configurations - Application security best practices |
| Topic 4: Cloud Native Applications and Containerization | 33% | - Oracle Container Registry (OCIR) usage - Building containerized applications with Docker - Deployment and management with Oracle Kubernetes Engine (OKE) |
| Topic 5: Leveraging Serverless Technologies for Cloud Native Development | 33% | - Oracle Functions development and management - API-driven architectures using API Gateway - Event-driven architecture with OCI Events, Streaming, and Queue |
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NEW QUESTION # 59
Kubernetes includes various elements such as compute, network, and storage. Compute is essentially CPU (units) and memory (bytes). Within an OKE cluster, what is considered to be the smallest unit of deployment with respect to compute?
Answer: E
Explanation:
A pod is the smallest and simplest unit in the Kubernetes object model that you create or deploy2. A pod represents a single instance of a running process in your cluster. Pods contain one or more containers, such as Docker containers. When you create a pod, you define how much CPU and memory (RAM) each container needs. A pod can also include storage volumes, IP addresses, options that govern how the container(s) should run, and more2. Pods are the basic building blocks of larger Kubernetes constructs such as deployments, replica sets, and services2.
NEW QUESTION # 60
Which option best defines microservices?
Answer: B
Explanation:
The correct answer is: " A finely tuned piece of software that performs a single or small collection of tasks. " Microservices are a software architectural approach where a system is decomposed into small, independent services that are responsible for performing a specific set of tasks. Each microservice is designed to be focused, finely tuned, and highly cohesive, handling a single or a small collection of related tasks. This granularity allows for better scalability, maintainability, and flexibility in building complex applications. The other options provided do not accurately define microservices: An open-source system for automating deployment, scaling, and management of containerized applications refers to a container orchestration tool like Kubernetes, which can be used to manage microservices but is not a definition of microservices itself. A statically typed and compiled language describes a type of programming language characteristic and is not specific to the concept of microservices. An organized collection of structured information or data, typically stored electronically in a computer system is a definition of a database or data storage system and is unrelated to microservices.
NEW QUESTION # 61
Your team has deployed a high-throughput order processing microservice that consumes messages from an OCI Stream with 8 partitions. To handle peak operational hours, you have scaled out your deployment to run
12 identical microservice consumer instances under a single named consumer group. During execution, you notice that 4 of the 12 consumer instances remain completely idle and are not assigned any stream data.
Which OCI Streaming architectural rule explains this behavior?
Answer: B
Explanation:
OCI Streaming consumer groups assign each stream partition exclusively to one consumer-group instance at a time. Oracle states that every partition is owned by one instance following a successful rebalance and that instances exceeding the number of available partitions remain idle. With eight partitions, no more than eight of the twelve consumer instances can actively consume simultaneously, leaving four without assignments.
This is not a fixed eight-consumer limitation: increasing the stream to twelve or more partitions could allow all twelve instances to become active. Consumer groups automatically coordinate partition assignment, offsets, commits, heartbeats, and rebalancing, so Service Connector Hub is unnecessary. Stream pools likewise do not determine the consumer-to-partition scaling relationship. Therefore, B explains the observed behavior precisely.
NEW QUESTION # 62
In the DevOps lifecycle, what is the difference between continuous delivery and continuous deployment?
(Choose two.)
Answer: A,D
Explanation:
The two correct differences between continuous delivery and continuous deployment in the DevOps lifecycle are: Continuous delivery is a process that initiates deployment manually, while continuous deployment is based on automating the deployment process. In continuous delivery, the software is ready for deployment, but the decision to deploy is made manually by a human. On the other hand, continuous deployment automates the deployment process, and once the software passes all the necessary tests and quality checks, it is automatically deployed without human intervention. Continuous delivery involves automatic deployment to a development environment, while continuous deployment involves automatic deployment to a production environment. In continuous delivery, the software is automatically deployed to a development or staging environment for further testing and validation. However, the actual deployment to the production environment is performed manually. In continuous deployment, the software is automatically deployed to the production environment, eliminating the need for manual intervention in the deployment process. These differences highlight the level of automation and human involvement in the deployment process between continuous delivery and continuous deployment approaches in the DevOps lifecycle.
NEW QUESTION # 63
You have developed a cloud-native application on OCI, and you need to enable diagnostic logging for an OCI API Gateway deployment and a backend Oracle Function. Corporate compliance mandates that both the gateway activity and the function execution logs must be collected and stored in separate centralized log resources under a common log group named AppLoggingGroup.
Which TWO configuration steps must you perform within the OCI Logging service to satisfy these requirements?
Answer: B,D
Explanation:
API Gateway and Oracle Functions are OCI-managed services with native integration into OCI Logging, so their diagnostic output is collected throughservice logs, not host-based custom-log agent configurations.
Oracle ' s Service Log Reference explicitly includes both API Gateway and Functions. For Functions, Oracle ' s current CLI example creates a SERVICE log whose source resource is the Function application and whose category is invoke. API Gateway likewise exposes service logging for gateway/deployment activity. Both log resources can be placed in the same organizational log group while remaining separate log objects, satisfying the compliance requirement. Logging agents and custom logs are intended primarily for files produced on managed hosts or applications, not for these managed OCI service sources. Therefore, C and D are correct.
NEW QUESTION # 64
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