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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Cloud Native Fundamentals | 11% | - DevOps concepts and CI/CD workflows - Cloud-native principles and microservices architecture - OCI developer services and tools overview |
| Topic 2: Testing and Securing Cloud Native Applications | 13% | - Testing strategies and secure deployment configurations - Secrets management with OCI Vault - Application security best practices |
| Topic 3: Monitoring & Troubleshooting Cloud Native Applications | 10% | - Troubleshooting containerized and serverless workloads - Application performance monitoring and tracing - Centralized logging and metrics collection |
| Topic 4: Leveraging Serverless Technologies for Cloud Native Development | 33% | - Event-driven architecture with OCI Events, Streaming, and Queue - API-driven architectures using API Gateway - Oracle Functions development and management |
| Topic 5: Cloud Native Applications and Containerization | 33% | - Oracle Container Registry (OCIR) usage - Deployment and management with Oracle Kubernetes Engine (OKE) - Building containerized applications with Docker |
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質問 # 94
Which is NOT a valid use case for leveraging the Oracle Cloud Infrastructure (OCI) Events service?
正解：C
解説：
The use case that is NOT a valid use case for leveraging the Oracle Cloud Infrastructure (OCI) Events service is " Capturing the OCI Monitoring service alarms and invoking autoscaling of compute instances. " The OCI Events service is designed to provide event-driven architecture and enable automated responses to events occurring within the Oracle Cloud Infrastructure. It allows you to react to changes and activities happening within your OCI resources. The Events service can be used to trigger actions based on events like file uploads, resource changes, or task completions. However, capturing the OCI Monitoring service alarms and invoking autoscaling of compute instances is not a direct functionality provided by the OCI Events service. Autoscaling based on monitoring metrics is typically handled by the OCI Autoscaling service, which is specifically designed for that purpose. The OCI Monitoring service provides monitoring and alerting capabilities, while the Autoscaling service handles the dynamic scaling of compute instances based on predefined policies and thresholds.
質問 # 95
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?
正解：D
解説：
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.
質問 # 96
In the DevOps lifecycle, what is the difference between continuous delivery and continuous deployment?
(Choose two.)
正解：A、B
解説：
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.
質問 # 97
You are developing a real-time monitoring application for a fleet of vehicles, which will be deployed on Oracle Cloud Infrastructure (OCI). You need to choose between using OCI Queue or OCI Streaming to handle the real-time data feeds from the vehicles. Based on the scenario described, which is the most appropriate choice for handling real-time data feeds?
正解：A
解説：
OCI Streaming is a fully managed, scalable, and durable messaging solution for ingesting continuous, high- volume streams of data that you can consume and process in real-time1. Streaming is suitable for any use case in which data is produced and processed continually and sequentially in a publish-subscribe messaging model1. Streaming can handle millions of messages per second with low latency2. Therefore, OCI Streaming is the most appropriate choice for handling real-time data feeds from a fleet of vehicles.Verified References: Overview of Streaming, Container Engine for Kubernetes
質問 # 98
Which statement is NOT valid regarding the configurations and behaviors of Oracle Cloud Infrastructure (OCI) Queue?
正解：B
解説：
Statement C is NOT valid because OCI Queue currently limits an individual message to256 KB, not a configurable 1 MB. Oracle ' s current functional limits specify a maximum message size of 256 KB, while a PutMessage batch request can contain up to 20 messages with a combined request size of 512 KB. Message retention can be configured from 10 seconds through seven days and cannot be changed after queue creation.
Queue-level visibility timeout ranges from one second to twelve hours, and visibility can be adjusted while processing. Oracle also documents maximum delivery attempts as configurable from 1 through 20 before failed messages are moved to the dead letter queue. Therefore, C alone contradicts the current Queue functional limits.
質問 # 99
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