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| Section | Weight | Objectives |
|---|---|---|
| Cloud Native Applications and Containerization | 33% | - Container Orchestration
|
| Leveraging Serverless Technologies for Cloud Native Development | 33% | - API Gateway
|
| Testing and Securing Cloud Native Applications | 13% | - Cloud Native Security
|
| Cloud Native Fundamentals | 11% | - Microservices Architecture
|
| Monitoring & Troubleshooting Cloud Native Applications | 10% | - Monitoring, Logging, and Tracing
|
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NEW QUESTION # 44
Which TWO statements are true for serverless computing and serverless architectures? (Choose two.)
Answer: C,D
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 # 45
Which security capability in Oracle Cloud Infrastructure Container Engine for Kubernetes (OKE) enables developers to scope IAM permissions at the individual service account level for application pods rather than the host Compute instances?
Answer: D
Explanation:
OKE Workload Identity enables applications running in Kubernetes pods to receive fine-grained OCI IAM permissions based on their Kubernetes identity rather than inheriting broad permissions from the worker node.
Oracle defines a workload identity using the combination of the OKE cluster, Kubernetes namespace, and Kubernetes service account. IAM policies can therefore restrict access to a specific workload using conditions such as request.principal.type= ' workload ' , request.principal.namespace, request.principal.service_account, and request.principal.cluster_id. Instance Principals grant identity to Compute instances, while Kubernetes RBAC controls access to Kubernetes resources rather than OCI services. Resource Principals apply to supported OCI resources but do not provide OKE ' s service-account-specific pod identity model. Thus, Workload Identity is the correct capability.
NEW QUESTION # 46
You have two microservices, A and B, running in production. Service A relies on APIs from service B. You want to test changes to service A without deploying all of its dependencies, which include service B. Which approach should you take to test service A?
Answer: C
Explanation:
API mocking is a technique that simulates the behavior of real APIs without requiring the actual implementation or deployment of the dependent services1. API mocking allows you to test changes to service A without deploying all of its dependencies, such as service B, by creating mock responses for the APIs that service A relies on1. API mocking has several benefits, such as1:
* Faster testing: You can test your service A without waiting for service B to be ready or available, which reduces the testing time and feedback loop.
* Isolated testing: You can test your service A in isolation from service B, which eliminates the possibility of external factors affecting the test results or causing errors.
* Controlled testing: You can test your service A with different scenarios and edge cases by creating mock responses that mimic various situations, such as success, failure, timeout, etc.
NEW QUESTION # 47
Which configuration parser type is mandatory when setting up a custom log with the OCI Unified Monitoring Agent if no log structure parsing is required?
Answer: C
Explanation:
Oracle explicitly states that theNONEparser type is required when configuring the Unified Monitoring Agent even when no particular parsing of the incoming log structure is desired. The agent configuration still requires a parser declaration so it knows how the input should be handled. NONE allows the log content to be collected without applying structural parsing such as JSON, SYSLOG, regular-expression, or Apache-style parsing. Oracle ' s SDK model also lists NONE as a supported parserType value. RAW, DEFAULT, and UNSTRUCTURED are not the documented parser-type identifiers for this purpose. Consequently, administrators configuring custom logs that should be ingested without parsing must explicitly select or specify NONE, making C the correct answer.
NEW QUESTION # 48
What is the difference between continuous delivery and continuous deployment in the DevOps methodology?
(Choose the best answer.)
Answer: B
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 utilizes 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 # 49
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