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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Testing and Securing Cloud Native Applications | 13% | - Cloud Native Security
|
| Topic 2: Leveraging Serverless Technologies for Cloud Native Development | 33% | - OCI Streaming
|
| Topic 3: Monitoring & Troubleshooting Cloud Native Applications | 10% | - Monitoring, Logging, and Tracing
|
| Topic 4: Cloud Native Fundamentals | 11% | - Microservices Architecture
|
| Topic 5: Cloud Native Applications and Containerization | 33% | - Docker and Containerization
|
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質問 # 162
Which term describes an individual set of aggregated data for a metric with zero or more dimension values in the Oracle Cloud Infrastructure (OCI) Monitoring service?
正解：A
解説：
Oracle Monitoring formally defines ametric streamas an individual set of aggregated data for a metric with zero or more dimension values. Different dimension combinations create distinct streams. For example, CPU utilization emitted for two separate Compute instance OCIDs can constitute two separate metric streams because the resourceId dimension differs. A metric namespace identifies the service or application emitting the metrics, such as oci_computeagent. A datapoint is an individual timestamped value within a metric stream. Oracle also uses the term metric group for limit calculations, defining it as the combination of a metric, namespace, and tenancy; that is different from the dimension-specific time-series data described in the question. Therefore, option A exactly matches Oracle ' s documented Monitoring terminology.
質問 # 163
Which statement is NOT valid regarding context variables used for dynamic backend routing in Oracle Cloud Infrastructure API Gateway?
正解：B
解説：
Oracle API Gateway documents the context-variable selectors available for dynamic backend routing.
Supported selectors include request.auth[ < key > ], request.headers[ < key > ], request.host, request.path[ < key > ], request.query[ < key > ], request.subdomain[ < key > ], and usage-plan information. Therefore, headers, authentication claims, and query parameters can all participate directly in backend-selection rules.
Although API Gateway can expose the request body to amulti-argument authorizer function, Oracle does not list request.body[ < key > ] as a supported selector for dynamic backend routing. Its presence in that separate authorizer context does not make it a dynamic-routing selector capable of parsing arbitrary JSON fields.
Consequently, A, B, and C describe supported routing context variables, while D incorrectly extends the routing model to request-body key selection.
質問 # 164
Which TWO statements are correct regarding Docker images and containers? (Choose two.)
正解：C、E
解説：
Which TWO statements are correct regarding Docker images and containers? (Choose two.) Writing and building a new Dockerfile is the only way you can create new Docker images. A container can exist without an image but an image cannot exist without a container. Only one container can be spawned from a given image at a time. If multiple containers are spawned from the same image, then they all use the same copy of that image in memory. (Correct) An image is a collection of immutable layers whereas a container is a running instance of an image. (Correct) ChatGPT The correct statements regarding Docker images and containers are: If multiple containers are spawned from the same image, then they all use the same copy of that image in memory. This statement is correct. When multiple containers are created from the same Docker image, they share the underlying layers of the image in memory. Each container has its own isolated filesystem and runtime environment, but they all use the same base image, which helps in efficient resource utilization. An image is a collection of immutable layers whereas a container is a running instance of an image. This statement is also correct. Docker images are composed of multiple layers, with each layer representing a specific change or addition to the previous layer. These layers are read-only and can be shared among multiple containers. On the other hand, a container is a lightweight and isolated runtime instance created from a specific image. It is a running process that has its own filesystem, network, and runtime configuration. The statements " Writing and building a new Dockerfile is the only way you can create new Docker images " and " A container can exist without an image but an image cannot exist without a container " are incorrect. Docker images can be created in various ways, including using Dockerfiles, importing from existing images, or pulling from registries. Additionally, a container requires an image to run, so an image must exist before a container can be created from it.
質問 # 165
In the shared responsibility model, who should perform patching, upgrading, and maintaining of the worker nodes in provisioned Oracle Container Engine for Kubernetes (OKE) clusters?
正解：A
解説：
In the shared responsibility model, Oracle is responsible for securing the underlying cloudinfrastructure and platform services, while customers are responsible for securing theirdata and applications within the cloud4. For provisioned OKE clusters, Oracle manages the control plane (master nodes) of the Kubernetes cluster, while customers manage the data plane (worker nodes) of the cluster5. Therefore, it is the responsibility of the customer to perform patching, upgrading, and maintaining of the worker nodes in provisioned OKE clusters5. Customers can use tools such as Terraform or kubectl to automate these tasks5.
質問 # 166
Which key pillar of cloud native development should be utilized when a development team needs to automate build, test, and release cycles to achieve rapid and reliable software delivery?
正解：D
解説：
DevOps principles directly address automation across the software delivery lifecycle. Oracle describes DevOps as collaboration between development and operations teams aimed at continuous delivery, with automation applied throughout planning, coding, building, testing, releasing, deploying, operating, and monitoring. OCI specifically identifies CI/CD tooling for automating build, test, release, and deployment activities. Containerization provides consistent application packaging, microservices define an architectural decomposition model, and serverless computing removes much of the underlying infrastructure-management responsibility. None of those technologies by itself defines the automated delivery lifecycle requested in the question. Continuous Integration and Continuous Delivery are core DevOps practices that make software changes repeatable, testable, and deployable at high frequency while reducing manual intervention and release risk. Therefore, the correct cloud-native pillar is DevOps Principles.
質問 # 167
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