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Oracle Cloud Infrastructure 2024 Developer Professional Sample Questions (Q17-Q22):
NEW QUESTION # 17
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?
- A. This is not possible because service B is a dependency.
- B. Test using a previous test version of service B.
- C. Test using the current production version of service B.
- D. Test using an API mock of service B.
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 # 18
Your company has recently deployed a new web application that uses Oracle Functions. Your manager instructs you to implement monitoring metrics to manage your systems more effectively. You know that Oracle Functions automatically monitors functions on your behalf and reports metrics via Oracle Cloud Infrastructure (OCI) Monitoring. Which TWO metrics are collected and made available by this feature?
(Choose two.)
- A. Amount of RAM used by a function
- B. Number of times a function Is removed
- C. Amount of CPU used by a function
- D. Number of times a function is invoked
- E. Length of time a function runs
Answer: A,C
Explanation:
The correct answers are: Amount of RAM used by a function: Oracle Functions collects and reports the amount of memory (RAM) used by a function during its execution. This metric helps in monitoring and optimizing the resource consumption of functions. Length of time a function runs: Oracle Functions captures and provides the duration of function executions. This metric allows you to track the performance and responsiveness of your functions and identify any potential bottlenecks or delays. These metrics provide valuable insights into the resource utilization and performance of your functions, enabling you to monitor and optimize their behavior in the Oracle Cloud Infrastructure (OCI) environment.
NEW QUESTION # 19
Which TWO statements are correct regarding Docker images and containers? (Choose two.)
- A. Writing and building a new Dockerfile is the only way you can create new Docker images.
- B. An image is a collection of immutable layers whereas a container is a running instance of an image.
- C. A container can exist without an image but an image cannot exist without a container.
- D. Only one container can be spawned from a given image at a time.
- E. If multiple containers are spawned from the same image, then they all use the same copy of that image in memory.
Answer: B,E
Explanation:
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.
NEW QUESTION # 20
Which of the following TWO statements are TRUE about deleting a Kubernetes cluster? (Choose two.)
- A. Upon deleting a cluster, no other resources created during the cluster creation process or associated with the cluster (such as VCNS. Internet Gateways, NAT Gateways, Route Tables, Security Lists. Load Balancers, and Block Volumes) are deleted automatically.
- B. Upon deleting a cluster, other resources created during the cluster creation process or associated with the cluster (such as VCNS, Internet Gateways, NAT Gateways, Route Tables, Security Lists, B. Load Balancers, and Block Volumes) are deleted automatically.
- C. If you change the auto-generated name of a worker node and then delete the cluster, the renamed worker node is not deleted.
- D. Changing the auto-generated name of a worker node does not affect the deletion of the worker node when the cluster in which it is created is deleted.
- E. You cannot change the autogenerated names of the worker nodes in the format oke-c<part-of cluster- CCID>-<part-of-node-pool-OCID>-<part-of-subnet-OCID>-<slot> within a Kubernetes cluster.
Answer: A,C
Explanation:
The correct statements about deleting a Kubernetes cluster are: If you change the auto-generated name of a worker node and then delete the cluster, the renamed worker node is not deleted. Changing the name of a worker node does not affect its deletion when the cluster is deleted. The cluster deletion process does not consider the renamed worker nodes and will delete all worker nodes associated with the cluster. Upon deleting a cluster, no other resources created during the cluster creation process or associated with the cluster (such as VCNs, Internet Gateways, NAT Gateways, Route Tables, Security Lists, Load Balancers, and Block Volumes) are deleted automatically. These additional resources are not automatically deleted when the cluster is deleted. You need to manage the deletion of these resources separately, if desired. Therefore, the correct statements are that the renamed worker nodes are not deleted when the cluster is deleted, and other associated resources are not automatically deleted when the cluster is deleted.
NEW QUESTION # 21
Which testing measure should be considered when using test cases that simultaneously validate a deployment and perform a selected set of functional tasks?
- A. Resource Utilization
- B. Scalability
- C. Resiliency
- D. Functionality
- E. Robust Deployment
Answer: E
Explanation:
The correct answer is: "Robust Deployment." When using test cases that simultaneously validate a deployment and perform a selected set of functional tasks, the testing measure that should be considered is
"Robust Deployment." Robust Deployment refers to the ability of an application or system to be deployed reliably and consistently, without errors or failures. It involves ensuring that the deployment process is well- defined, automated, and able to handle different scenarios and configurations. When conducting testing that combines the validation of deployment and functional tasks, it is crucial to ensure that the deployment itself is robust. This means verifying that the application or system can be successfully deployed and configured without encountering deployment-related issues such as incorrect configurations, missing dependencies, or compatibility problems. By considering "Robust Deployment" as a testing measure, you can evaluate the reliability and effectiveness of the deployment process, ensuring that the application or system is deployed correctly and ready to perform the selected set of functional tasks.
NEW QUESTION # 22
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