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| Section | Weight | Objectives |
|---|---|---|
| Cloud Native Fundamentals | 11% | - Microservices Architecture
|
| Testing and Securing Cloud Native Applications | 13% | - OCI Vault
|
| Monitoring & Troubleshooting Cloud Native Applications | 10% | - OCI Monitoring
|
| Cloud Native Applications and Containerization | 33% | - Container Orchestration
|
| Leveraging Serverless Technologies for Cloud Native Development | 33% | - API Gateway
|
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NEW QUESTION # 50
Which statement is NOT valid regarding the configurations and behaviors of Oracle Cloud Infrastructure (OCI) Queue?
Answer: A
Explanation:
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.
NEW QUESTION # 51
Your team has chosen to use master encryption key (MEK) within an Oracle Cloud Infrastructure (OCI) Vault for encrypting Kubernetes secrets associated with your microservice deployments in OCI Container Engine for Kubernetes (OKE) clusters so that you can easily manage key rotation. Which of the following is NOT valid about rotating keys in the OCI Vault service?
Answer: B
Explanation:
The correct answer is: " Once rotated, older key versions can be used for encryption until they are deleted. " The statement that is NOT valid about rotating keys in the OCI Vault service is: " Once rotated, older key versions can be used for encryption until they are deleted. " In the OCI Vault service, when you rotate a master encryption key (MEK), a new key version is automatically generated. However, once a key is rotated and a new version is created, the older key versions are no longer usable for encryption. The purpose of key rotation is to ensure that the encryption keys are regularly updated and that older keys are no longer used to protect sensitive data. This enhances security by minimizing the impact of potential key compromises. The other statements mentioned are valid: Both software and hardware security module (HSM)-protected MEKs can be rotated. This provides flexibility in choosing the type of MEK and ensures that key rotation can be performed regardless of the encryption method used. Each key version is tracked internally with separate unique OCIDs (Oracle Cloud Identifiers). This allows for easy management and tracking of different key versions within the OCI Vault service. In summary, the statement that is NOT valid is the one suggesting that older key versions can still be used for encryption until they are deleted. Key rotation is designed to ensure the use of the latest key version and to retire older key versions to enhance security.
NEW QUESTION # 52
You are writing a script to automate operational reports and need to extract custom aggregated CPU utilization metrics for a set of compute instances within your compartment. Which OCI CLI command should you run to retrieve this aggregated metric data from the OCI Monitoring service?
Answer: B
Explanation:
The correct command is oci monitoring metric-data summarize-metrics-data. Oracle defines this operation specifically for retrieving aggregated metric data that matches a Monitoring Query Language (MQL) expression. The command accepts parameters including the compartment OCID, metric namespace, and -- query-text, which can contain expressions such as CpuUtilization[1m].mean(). The post operation performs the opposite function: it publishes custom metric data into OCI Monitoring rather than retrieving it. query and retrieve are not valid subcommands under oci monitoring metric-data. Therefore, when an automation script must obtain aggregated CPU utilization or another metric series from Monitoring, summarize-metrics-data is the documented OCI CLI operation.
NEW QUESTION # 53
Which statement is NOT valid regarding OCI Identity and Access Management (IAM) policies written for OKE Workload Identity?
Answer: D
Explanation:
Oracle ' s documented OKE Workload Identity policy pattern is Allow any-user to < verb > < resource > in < location > where all {...} with conditions identifying request.principal.type= ' workload ' , the Kubernetes namespace, service account, and cluster OCID. Crucially, Oracle defines < location > as either the entire tenancyor a specific compartment. Oracle even provides examples granting a workload access only to resources in a named compartment. Consequently, C is false because workload-identity policies do not have to be tenancy-wide. Options A, B, and D accurately describe the standard policy structure: any-user is narrowed through workload-specific conditions, and those conditions identify the exact OKE workload by cluster, namespace, and service account. This enables fine-grained least-privilege access without storing OCI credentials inside pods.
NEW QUESTION # 54
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 includes service B. Which approach should you take to test service A?
Answer: D
Explanation:
The correct answer is: Test using an API mock of service B. To test service A without deploying all of its dependencies, including service B, you can use an API mock of service B. An API mock is a simulated version of the API that mimics the behavior of the actual service. By using an API mock, you can isolate the testing of service A and simulate the responses and behavior of service B ' s APIs. With an API mock, you can define the expected responses and behavior of service B ' s APIs, allowing you to test the integration between service A and the mocked version of service B. This approach enables you to verify the functionality of service A without relying on the availability or changes in the actual service B. By decoupling the dependencies and using an API mock, you can perform independent testing of service A, ensuring its functionality in isolation.
NEW QUESTION # 55
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