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| Section | Weight | Objectives |
|---|---|---|
| Leveraging Serverless Technologies for Cloud Native Development | 33% | - Oracle Functions development and management - API-driven architectures using API Gateway - Event-driven architecture with OCI Events, Streaming, and Queue |
| Cloud Native Fundamentals | 11% | - OCI developer services and tools overview - Cloud-native principles and microservices architecture - DevOps concepts and CI/CD workflows |
| Testing and Securing Cloud Native Applications | 13% | - Secrets management with OCI Vault - Application security best practices - Testing strategies and secure deployment configurations |
| Monitoring & Troubleshooting Cloud Native Applications | 10% | - Troubleshooting containerized and serverless workloads - Centralized logging and metrics collection - Application performance monitoring and tracing |
| Cloud Native Applications and Containerization | 33% | - Oracle Container Registry (OCIR) usage - Deployment and management with Oracle Kubernetes Engine (OKE) - Building containerized applications with Docker |
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116. Frage
Which open source engine is used by Oracle Cloud Infrastructure (OCI) to power Oracle Functions?
Antwort: D
Begründung:
Fn Project is the open source engine that is used by OCI to power Oracle Functions1. Fn Project is an open source, container native, serverless platform that can be run anywhere - any cloud or on-premises1. Fn Project is easy to use, extensible, and performant. You can download and install the open source distribution of Fn Project, develop and test a function locally, and then use the same tooling to deploy that function to Oracle Functions1.Verified References: Overview of Functions
117. Frage
To effectively test your cloud native applications for " unknown unknowns " , you need to employ various testing and deployment strategies. Which strategy involves exposing new functionality or features to only a small set of users?
Antwort: A
Begründung:
The strategy that involves exposing new functionality or features to only a small set of users is called Canary Deployment. Canary deployment is a technique used in software development and deployment where a new version of an application or feature is released to a small subset of users or a specific group of servers. This allows for testing and gathering feedback on the new functionality in a controlled and limited environment before making it available to a wider audience. In a canary deployment, a small portion of the traffic is routed to the new version while the majority of the traffic still goes to the stable version. This allows for monitoring and evaluation of the new functionality in real-world conditions while minimizing the impact of any potential issues or bugs. If the new version performs well and meets the desired criteria, it can then be gradually rolled out to a larger user base or all servers. By exposing the new functionality or features to a small set of users initially, canary deployment helps in identifying any unforeseen issues, gathering feedback, and ensuring the stability and reliability of the application before a full deployment.
118. Frage
Which statement is NOT valid regarding custom metrics and the OCI Monitoring PostMetricData API?
Antwort: C
Begründung:
Statement C is invalid because Oracle permits custom metrics to be postedas frequently as every second. The one-minute value applies to the minimum aggregation interval when metric data is subsequently queried, not to the ingestion frequency. Oracle also verifies the remaining statements. PostMetricData requires timestamps to be less than two hours in the past and less than ten minutes in the future. Custom namespaces must not use reserved prefixes such as oci_ or oracle_. The API additionally allows a maximum of 20 dimensions per metric group in a single posting operation. Therefore, interpreting one minute as the minimum interval between raw metric submissions incorrectly confuses ingestion frequency with Monitoring ' s aggregation
/query interval. Option C is consequently the NOT valid statement.
119. Frage
Assuming that your function does NOT have the --provisioned-concurrency option enabled, which parameter is used to configure the time period during which an idle function will remain in memory before Oracle Functions removes its container image from memory?
Antwort: C
Begründung:
Idle-timeout is the parameter that is used to configure the time period during which an idle function will remain in memory before Oracle Functions removes its container image from memory2. The idle-timeout parameter is specified in seconds and can be set when creating or updating a function2. The default value for idle-timeout is 30 seconds and the maximum value is 900 seconds (15 minutes)2. If a function has the -- provisioned-concurrency option enabled, the idle-timeout parameter is ignored and the function instances are always kept in memory3.Verified References: Creating Functions, Provisioned Concurrency
120. Frage
Which TWO are characteristics of microservices? (Choose two.)
Antwort: C,D
Begründung:
The two characteristics of microservices are: Microservices can be independently deployed: One of the key principles of microservices architecture is the ability to independently deploy each microservice. This means that changes or updates to one microservice can be made and deployed without affecting other microservices.
It allows for faster and more frequent deployments, enabling agile development and scalability. Microservices communicate over lightweight APIs: Microservices communicate with each other through lightweight APIs (Application Programming Interfaces). This enables loose coupling between microservices, as they can interact with each other using standard protocols like HTTP/REST or messaging systems like RabbitMQ or Kafka. Lightweight APIs facilitate flexibility and interoperability between microservices, making it easier to develop and maintain complex systems. The remaining statement, " All microservices share a data store, " is not a characteristic of microservices. Microservices are designed to be autonomous and have their own data storage or database. Each microservice has its own data store, which promotes the principle of bounded contexts and avoids tight coupling between services. This allows for better scalability and independence of data management within each microservice.
121. Frage
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