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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Testing and Securing Cloud Native Applications | 13% | - Cloud Native Security
|
| Topic 2: Cloud Native Fundamentals | 11% | - Microservices Architecture
|
| Topic 3: Cloud Native Applications and Containerization | 33% | - Docker and Containerization
|
| Topic 4: Monitoring & Troubleshooting Cloud Native Applications | 10% | - OCI Monitoring
|
| Topic 5: Leveraging Serverless Technologies for Cloud Native Development | 33% | - OCI Streaming
|
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NEW QUESTION # 167
To enforce mutual TLS (mTLS) authentication for clients of your microservices, your team has chosen to leverage the Oracle Cloud Infrastructure (OCI) API Gateway service to create new API Deployments that will direct requests to your microservices. Which is NOT valid regarding the mTLS options in OCI API Gateway?
Answer: A
Explanation:
The correct answer is: " Adding a custom certificate authority (CA) or custom CA bundle to your gateway ' s trust store for mTLS is optional unless you need to reject certificates that do not contain particular values (such as a domain name). " The statement that is NOT valid regarding the mTLS options in OCI API Gateway is: " Adding a custom certificate authority (CA) or custom CA bundle to your gateway ' s trust store for mTLS is optional unless you need to reject certificates that do not contain particular values (such as a domain name).
" In OCI API Gateway, adding a custom certificate authority (CA) or custom CA bundle to the gateway ' s trust store is not optional. It is a necessary step when configuring mTLS authentication. The trust store in the gateway is used to validate the client certificates presented during mTLS authentication. The other options listed are valid regarding the mTLS options in OCI API Gateway: Once the mTLS request policy is enabled, all requests with valid certificates are routed to the backend unless specific values (such as a domain name) are defined. This means that only requests with valid client certificates will be allowed to access the backend microservices. The mTLS request policy can only be enabled at the API deployment specification level, and it applies globally to all routes in that deployment. This ensures consistent mTLS authentication across all routes and endpoints in the API deployment. Custom CA or custom CA bundles can be added to the gateway ' s trust store, but only if they already exist in the OCI Certificates service. This allows you to include trusted CAs or CA bundles to validate client certificates during mTLS authentication.
NEW QUESTION # 168
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: D,E
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 # 169
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?
Answer: B
Explanation:
The necessary configuration to provide access to a private repository in OCI Registry (OCIR) from OCI Container Engine for Kubernetes (OKE) is to create a docker-registry secret for OCIR with an identity Auth Token on the cluster and specify the imagePullSecret property in the application deployment manifest. Here ' s the breakdown of the steps: Create a docker-registry secret for OCIR with an identity Auth Token: In order to authenticate with the private repository in OCIR, you need to create a secret in your OKE cluster that contains the necessary credentials. This can be done by generating an identity Auth Token from the OCI Console and creating a secret in the cluster using the kubectl command. Specify the imagePullSecret property in the application deployment manifest: In your application ' s deployment manifest (such as a Kubernetes Deployment or StatefulSet YAML file), you need to include the imagePullSecret property and specify the name of the secret you created in the previous step. This allows the OKE cluster to use the credentials from the secret to pull the docker image from the private repository in OCIR during deployment. By following these steps, you can ensure that your OKE cluster has the necessary access to the private repository in OCIR, and your application can successfully pull the required docker image during deployment.
NEW QUESTION # 170
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: A
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 # 171
Which TWO statements are true for serverless computing and serverless architectures? (Choose two.)
Answer: A,B
Explanation:
The two true statements for serverless computing and serverless architectures are: Applications running on a FaaS (Functions as a Service) platform: Serverless architectures typically involve running code in the form of functions on a serverless platform. These functions are event-driven and executed in response to specific triggers or events. Serverless function execution is fully managed by a third party: In serverless computing, the cloud provider takes care of the infrastructure management and resource provisioning. The execution of serverless functions is handled automatically by the platform, relieving developers from the responsibility of managing servers or infrastructure. It ' s important to note that long running tasks are not typically suited for serverless architectures due to the event-driven nature of serverless functions. Also, while serverless functions may have state, it is recommended to avoid external storage dependencies and instead leverage stateless functions whenever possible. Additionally, scaling in serverless architectures is typically handled automatically by the platform, rather than being the responsibility of the application DevOps team.
NEW QUESTION # 172
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