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| Section | Weight | Objectives |
|---|---|---|
| Leveraging Serverless Technologies for Cloud Native Development | 33% | - OCI Streaming
|
| Monitoring and Troubleshooting Cloud Native Applications | 10% | - Monitoring, Logging, and Tracing
|
| Cloud Native Applications and Containerization | 33% | - Oracle Cloud Infrastructure Registry
|
| Cloud Native Fundamentals | 11% | - Microservices Architecture
|
| Testing and Securing Cloud Native Applications | 13% | - Cloud Native Testing
|
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NEW QUESTION # 47
From a DevOps process standpoint, it is a good practice to keep changes to an application under version control. Which of the following allows changes to a Docker image to be stored in a version control system?
Answer: D
Explanation:
The option that allows changes to a Docker image to be stored in a version control system is: docker commit The docker commit command is used to create a new image from a container ' s changes. It takes a running container as input, captures the changes made to it, and creates a new image with those changes. This new image can then be tagged and pushed to a registry, or saved locally. By using docker commit, you can effectively capture the changes made to a container as a new image and store it in a version control system along with the Dockerfile and other project files. This allows for reproducibility and traceability of changes to the Docker image over time.
NEW QUESTION # 48
Which statement is NOT valid regarding the configurations and behaviors of Oracle Cloud Infrastructure (OCI) Queue?
Answer: B
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 # 49
Which of the following is defined as a configurable, low-latency infrastructure layer that controls the interaction between a network of microservices? (Choose the best answer.)
Answer: B
Explanation:
The correct answer is " Service Mesh. " A service mesh is a configurable, low-latency infrastructure layer that controls the interaction between a network of microservices. It provides functionalities such as service discovery, load balancing, traffic management, security, and observability for microservices-based applications. It is designed to improve communication and manage the complex interactions between services within a distributed system. Service mesh frameworks like Istio and Linkerd are commonly used to implement service mesh architecture.
NEW QUESTION # 50
Which statement about microservices is FALSE?
Answer: D
Explanation:
The correct answer is: " Multiple microservices can run in one process. " The statement that is FALSE about microservices is: " Multiple microservices can run in one process. " Microservices are designed to be independent and autonomous services that can be deployed, scaled, and managed separately. Each microservice typically runs as its own separate process. This separation allows for loose coupling and independent scalability of individual services. Running multiple microservices in a single process would violate the fundamental principle of microservices architecture, which emphasizes the isolation and independence of services. Combining multiple microservices into a single process would tightly couple them, making it difficult to independently manage, scale, and update each service. The other statements provided are true about microservices: It is fairly common for microservices to communicate with HTTP: Microservices often communicate with each other using lightweight protocols like HTTP/REST. This allows for interoperability, flexibility, and ease of communication between microservices. Microservices are typically designed around business capabilities: Microservices architecture advocates designing services based on specific business capabilities or functionalities. Each microservice focuses on a specific business domain or task, enabling modular and scalable development. They are independently deployable: Microservices are designed to be independently deployable units. This means that each microservice can be developed, tested, deployed, and updated separately without affecting other services. This flexibility allows for faster development cycles and more efficient scalability.
NEW QUESTION # 51
When utilizing the OCI Monitoring PostMetricData API to publish custom metrics, what is the default batch atomicity behavior applied to input validation for the metric objects?
Answer: C
Explanation:
Oracle explicitly defines the default batchAtomicity setting for PostMetricData asNON_ATOMIC. With NON_ATOMIC validation, at least one metric object in the request must pass validation for valid metric objects to be accepted. Individual objects that fail validation are rejected and identified in the returned summary with their associated errors. By comparison, ATOMIC requires every metric object in the batch to pass validation; if one object fails, the whole request fails validation. PARTIAL_COMMIT and TRANSACTIONAL are not supported values for the batchAtomicity parameter. The supported enumeration consists of ATOMIC and NON_ATOMIC, with NON_ATOMIC being the documented default. Therefore, B accurately reflects OCI Monitoring ' s default custom-metric ingestion behavior.
NEW QUESTION # 52
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