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| Section | Weight | Objectives |
|---|---|---|
| Testing and Securing Cloud Native Applications | 13% | - Testing strategies and secure deployment configurations - Secrets management with OCI Vault - Application security best practices |
| 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 |
| Monitoring & Troubleshooting Cloud Native Applications | 10% | - Centralized logging and metrics collection - Troubleshooting containerized and serverless workloads - Application performance monitoring and tracing |
| Cloud Native Applications and Containerization | 33% | - Oracle Container Registry (OCIR) usage - Building containerized applications with Docker - Deployment and management with Oracle Kubernetes Engine (OKE) |
| Cloud Native Fundamentals | 11% | - DevOps concepts and CI/CD workflows - Cloud-native principles and microservices architecture - OCI developer services and tools overview |
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NEW QUESTION # 179
Which statement is NOT valid regarding the filter matching behavior of Oracle Cloud Infrastructure (OCI) Events rules?
Answer: D
Explanation:
Oracle ' s Events documentation explicitly states that wildcard matching with * is supported only inattribute values, not in attribute keys. The asterisk can appear at the beginning, middle, or end of a value, but field names themselves must remain literal. Oracle also confirms all three other behaviors. An empty {} condition matches every applicable event; Events rules apply to their compartment and child compartments; and an event must contain every field named in the condition using the same nesting structure. Therefore, option C improperly extends wildcard functionality to attribute keys. The valid model is to preserve the exact JSON field structure while applying wildcard patterns only to values associated with those fields.
NEW QUESTION # 180
You developed a microservices-based application that runs in an Oracle Cloud Infrastructure (OCI) Container Engine for Kubernetes (OKE) cluster. Your security team wants to use SSL termination for this application.
What should you do to create a secure SSL termination for this application using the fewest steps possible?
Answer: D
Explanation:
The correct answer is: " Create a self-signed certificate and its corresponding key. Create a Kubernetes secret using the certificate and the key. Then add these annotations to the Kubernetes service: annotations: service.
beta.kubernetes.io/oci-load-balancer-ssl-ports: ' 443 ' service.beta.kubernetes.io/oci-load-balancer-tls-secret:
ssl certificate-secret. " To create a secure SSL termination for your microservices-based application running in an OCI Container Engine for Kubernetes (OKE) cluster, you can follow these steps: Create a self-signed certificate and its corresponding key: Generate a self-signed SSL certificate and its private key using a tool like OpenSSL. Create a Kubernetes secret: Create a Kubernetes secret using the certificate and key obtained in the previous step. This secret will securely store the certificate and key within the Kubernetes cluster. Add annotations to the Kubernetes service: Modify the Kubernetes service that exposes your application and add the following annotations to enable SSL termination: annotations: service.beta.kubernetes.io/oci-load- balancer-ssl-ports: ' 443 ' (specify the SSL port as 443) annotations: service.beta.kubernetes.io/oci-load- balancer-tls-secret: ssl certificate-secret (specify the name of the Kubernetes secret containing the certificate and key) By following these steps, you can create a secure SSL termination for your application using a self- signed certificate and Kubernetes secret. The annotations added to the Kubernetes service ensure that the SSL port is configured correctly and the TLS secret is utilized for SSL termination when traffic reaches the load balancer. The other options provided are not the most suitable approaches for achieving secure SSL termination in an OCI Container Engine for Kubernetes (OKE) cluster: Adding annotations related to the OCI load balancer SSL secret key is not the correct approach for SSL termination in this scenario. Using Let ' s Encrypt to generate a self-signed certificate and configuring it on the OCI Load Balancer is not necessary when you can create and manage the SSL certificate within the Kubernetes cluster using a Kubernetes secret.
NEW QUESTION # 181
As a Cloud Native developer, you have written a web service for your company. However, your security team has suggested that your web service should address Distributed Denial-of-Service (DDoS) attack. You are time-constrained and you need to ensure that this is implemented as soon as possible. What should you do in this scenario? (Choose the best answer.)
Answer: C
Explanation:
The correct answer in this scenario is to use the OCI API Gateway service and configure rate limiting. Using the OCI API Gateway service and configuring rate limiting is an effective approach to address Distributed Denial-of-Service (DDoS) attacks. By implementing rate limiting, you can control the number of requests that can be made to your web service within a specific time frame. This helps to prevent overload and ensures that your service can handle legitimate traffic while mitigating the impact of DDoS attacks. By leveraging the OCI API Gateway service, you can easily configure rate limiting rules to restrict the number of requests per second or per minute. This allows you to set appropriate thresholds and safeguard your web service from being overwhelmed by excessive requests. The API Gateway acts as a protective layer, filtering out malicious traffic and ensuring the smooth operation of your service. While options like OCI Virtual Cloud Network (VCN) segregation and third-party service integrations may contribute to overall security, they do not specifically address DDoS attacks as efficiently as rate limiting. VCN segregation focuses more on network segmentation and isolation, while third-party service integration may introduce additional dependencies and complexities.
Re-writing your web service and implementing rate limiting is a viable option, but it may not be feasible considering the time constraints mentioned. Leveraging the OCI API Gateway service provides a quicker and easier solution to implement DDoS attack mitigation through rate limiting.
NEW QUESTION # 182
Which option best defines microservices?
Answer: D
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 # 183
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 # 184
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