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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% | - Oracle Functions
|
| Topic 3: Cloud Native Fundamentals | 11% | - Microservices Architecture
|
| Topic 4: Cloud Native Applications and Containerization | 33% | - Docker and Containerization
|
| Topic 5: Monitoring & Troubleshooting Cloud Native Applications | 10% | - OCI Logging
|
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NEW QUESTION # 34
(CHK_4 > 3) Your development team decides to create and deploy some business logic to serverless Oracle Functions. You are asked to help facilitate the monitoring, logging, and tracing of these services. Which is NOT valid about troubleshooting Oracle Functions?
Answer: A
Explanation:
The option that is NOT valid about troubleshooting Oracle Functions is: " Oracle Functions tracing is enabled at the function level. " In Oracle Functions, tracing is not enabled at the function level. Instead, tracing is enabled at the application level. When you enable tracing for an application, it applies to all the functions within that application. Tracing allows you to capture detailed information about the execution flow and performance of the functions, helping you analyze and debug issues. The other options mentioned are valid:
Oracle Functions invocation logs are enabled at the application level. Invocation logs provide visibility into the details of function invocations, including input, output, duration, and any error messages. These logs are generated and stored by Oracle Functions, and you can access them for troubleshooting and monitoring purposes. Oracle Functions invocation is enabled by default. Once you deploy a function, it becomes invocable by default. You can configure different triggers to invoke the function, such as HTTP requests, scheduled events, or events from other Oracle Cloud Infrastructure services. Oracle Functions metrics are available at both the function and application level. Metrics provide insights into the usage, performance, and behavior of functions. They can include metrics such as invocations per minute, average duration, and error counts. These metrics can be viewed in the Oracle Cloud Infrastructure Console or accessed programmatically through APIs. It ' s important to note that the specific configuration and behavior of monitoring, logging, and tracing in Oracle Functions may depend on the version, configuration, and options you have chosen. It is recommended to refer to the Oracle Functions documentation and consult the official documentation for accurate and up-to-date information on troubleshooting and monitoring Oracle Functions.
NEW QUESTION # 35
Which option best defines microservices?
Answer: C
Explanation:
The correct answer is: " A finely tuned piece of software that performs a single or small collection of tasks. " Microservices are a software architectural approach where a system is decomposed into small, independent services that are responsible for performing a specific set of tasks. Each microservice is designed to be focused, finely tuned, and highly cohesive, handling a single or a small collection of related tasks. This granularity allows for better scalability, maintainability, and flexibility in building complex applications. The other options provided do not accurately define microservices: An open-source system for automating deployment, scaling, and management of containerized applications refers to a container orchestration tool like Kubernetes, which can be used to manage microservices but is not a definition of microservices itself. A statically typed and compiled language describes a type of programming language characteristic and is not specific to the concept of microservices. An organized collection of structured information or data, typically stored electronically in a computer system is a definition of a database or data storage system and is unrelated to microservices.
NEW QUESTION # 36
Which statement is NOT valid regarding the configurations and behaviors of Oracle Cloud Infrastructure (OCI) Queue?
Answer: D
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 # 37
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?
Answer: C
Explanation:
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.
NEW QUESTION # 38
Which feature is typically NOT associated with Cloud Native?
Answer: E
Explanation:
The feature that is typically NOT associated with Cloud Native is " Application Servers. " Cloud Native architecture emphasizes lightweight, scalable, and containerized deployments, which often replace traditional monolithic application servers. Instead of relying on application servers, Cloud Native applications are typically deployed as containerized microservices that can be orchestrated and managed using container orchestration platforms like Kubernetes. This approach enables greater flexibility, scalability, and agility in deploying and managing applications. While application servers have been widely used in traditional application architectures, they are not a characteristic feature of Cloud Native architectures. Cloud Native architectures focus on containerization, declarative APIs, immutable infrastructure, and service meshes to enable efficient and scalable deployment and management of applications.
NEW QUESTION # 39
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