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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Cloud Native Applications and Containerization | 33% | - Oracle Container Registry (OCIR) usage - Deployment and management with Oracle Kubernetes Engine (OKE) - Building containerized applications with Docker |
| Topic 2: Monitoring & Troubleshooting Cloud Native Applications | 10% | - Troubleshooting containerized and serverless workloads - Centralized logging and metrics collection - Application performance monitoring and tracing |
| Topic 3: Testing and Securing Cloud Native Applications | 13% | - Application security best practices - Testing strategies and secure deployment configurations - Secrets management with OCI Vault |
| Topic 4: 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 |
| Topic 5: Cloud Native Fundamentals | 11% | - OCI developer services and tools overview - DevOps concepts and CI/CD workflows - Cloud-native principles and microservices architecture |
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NEW QUESTION # 101
What is the difference between blue/green and canary deployment strategies? (Choose the best answer.)
Answer: D
Explanation:
The correct answer is: In blue/green deployment, both old and new applications are in production at the same time. In canary deployment, the application is deployed incrementally to a select group of people. In a blue
/green deployment strategy, two identical environments, referred to as blue and green, are set up. The current production environment (blue) continues to serve live traffic while a new version of the application is deployed in the green environment. Once the new version is tested and deemed stable, traffic is routed from the blue environment to the green environment, making it the new production environment. This approach allows for a seamless switch between the old and new versions of the application. On the other hand, in a canary deployment strategy, the new version of the application is deployed incrementally to a small subset of users or a specific group. This allows for testing the new version in a real production environment while minimizing the impact of any potential issues. If the new version performs well and meets the desired criteria, it can be gradually rolled out to a larger audience or the entire user base. In summary, the main difference between blue/green and canary deployment strategies lies in how the deployment is managed. Blue/green involves simultaneous production of both old and new applications, while canary deployment focuses on incremental deployment to a select group of users.
NEW QUESTION # 102
Oracle Functions monitors all deployed functions and collects and reports various metrics. Which is NOT available when viewing the Application metrics in the Oracle Cloud Infrastructure (OCI) Console?
Answer: C
Explanation:
The option that is NOT available when viewing the Application metrics in the Oracle Cloud Infrastructure (OCI) Console is: " The number of retries made by the function before failing due to an error. " When viewing the Application metrics in the OCI Console for Oracle Functions, you can typically see metrics related to the performance and usage of your functions. These metrics provide insights into how your functions are performing and being utilized. The following metrics are usually available: The number of requests to invoke a function that failed due to throttling: This metric indicates the number of requests that were not processed by the function due to reaching the configured concurrency limit or throttling settings. The length of time a function runs for: This metric represents the duration of each function invocation, measuring the time it takes for the function to complete its execution. The number of requests to invoke a function that failed with an error response: This metric counts the number of requests that encountered an error during the function invocation, resulting in a failed response. However, the number of retries made by the function before failing due to an error is not typically available as part of the Application metrics in the OCI Console.
The retries made by the function are usually handled at the invoker level, and the specific details of retries may not be captured as part of the application-level metrics. It ' s important to note that the availability of metrics and their specific details may vary depending on the version and configuration of Oracle Functions and the monitoring setup. It is recommended to refer to the Oracle Functions documentation and consult the official documentation for accurate and up-to-date information on available metrics.
NEW QUESTION # 103
Which feature is typically NOT associated with Cloud Native?
Answer: A
Explanation:
The feature that is typically NOT associated with Cloud Native is " Application Servers. " Cloud Native architecture emphasizes lightweight, scalable, and containerized deployments, which often replace traditional monolithic application servers. Instead of relying on application servers, Cloud Native applications are typically deployed as containerized microservices that can be orchestrated and managed using container orchestration platforms like Kubernetes. This approach enables greater flexibility, scalability, and agility in deploying and managing applications. While application servers have been widely used in traditional application architectures, they are not a characteristic feature of Cloud Native architectures. Cloud Native architectures focus on containerization, declarative APIs, immutable infrastructure, and service meshes to enable efficient and scalable deployment and management of applications.
NEW QUESTION # 104
Which command is used to get a Docker image from Oracle Cloud Infrastructure Registry (OCIR) to the client machine?
Answer: C
Explanation:
To pull a Docker image from OCI Registry to the client machine, you need to use the docker pull command with the following syntax1: docker pull < region-key > .ocir.io/ < tenancy-namespace > / < repo-name > : < tag > where:
* < region-key > is the key for the OCI Registry region you're using. For example, iad. See Availability by Region1.
* ocir.io is the OCI Registry name.
* < tenancy-namespace > is the auto-generated Object Storage namespace string of the tenancy that owns the repository from which you want to pull the image (as shown on the Tenancy Information page)1.
* < repo-name > is the name of the repository that contains the image you want to pull.
* < tag > is the tag of the image you want to pull.
NEW QUESTION # 105
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: A
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 # 106
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