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| Section | Weight | Objectives |
|---|---|---|
| Cloud Native Applications and Containerization | 33% | - Deployment and management with Oracle Kubernetes Engine (OKE) - Oracle Container Registry (OCIR) usage - Building containerized applications with Docker |
| Leveraging Serverless Technologies for Cloud Native Development | 33% | - API-driven architectures using API Gateway - Oracle Functions development and management - Event-driven architecture with OCI Events, Streaming, and Queue |
| Cloud Native Fundamentals | 11% | - DevOps concepts and CI/CD workflows - Cloud-native principles and microservices architecture - OCI developer services and tools overview |
| Monitoring & Troubleshooting Cloud Native Applications | 10% | - Troubleshooting containerized and serverless workloads - Centralized logging and metrics collection - Application performance monitoring and tracing |
| Testing and Securing Cloud Native Applications | 13% | - Testing strategies and secure deployment configurations - Secrets management with OCI Vault - Application security best practices |
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NEW QUESTION # 133
You are writing a script to automate operational reports and need to extract custom aggregated CPU utilization metrics for a set of compute instances within your compartment. Which OCI CLI command should you run to retrieve this aggregated metric data from the OCI Monitoring service?
Answer: B
Explanation:
The correct command is oci monitoring metric-data summarize-metrics-data. Oracle defines this operation specifically for retrieving aggregated metric data that matches a Monitoring Query Language (MQL) expression. The command accepts parameters including the compartment OCID, metric namespace, and -- query-text, which can contain expressions such as CpuUtilization[1m].mean(). The post operation performs the opposite function: it publishes custom metric data into OCI Monitoring rather than retrieving it. query and retrieve are not valid subcommands under oci monitoring metric-data. Therefore, when an automation script must obtain aggregated CPU utilization or another metric series from Monitoring, summarize-metrics-data is the documented OCI CLI operation.
NEW QUESTION # 134
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: A
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 # 135
Which TWO statements are correct regarding Docker images and containers? (Choose two.)
Answer: A,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 # 136
Which query language is tailored specifically to request and search distributed tracing data in the OCI Application Performance Monitoring Trace Explorer?
Answer: A
Explanation:
Oracle Application Performance Monitoring provides a dedicated query language in Trace Explorer for investigating distributed traces and their associated spans. Oracle documentation refers to it as theTrace Explorer Query Language, which uses a simplified SQL-like syntax with clauses such as show, filters, grouping, and aggregation. Among the supplied choices, this corresponds to Trace Query Language (TQL).
LQL belongs to OCI Logging and is used for searching log records, while MQL belongs to OCI Monitoring and operates on metric streams. AQL is not the Trace Explorer query language. Trace Explorer queries are specifically optimized for dimensions such as service names, operations, spans, traces, durations, and errors, making C the correct answer.
NEW QUESTION # 137
With the volume of communication that can happen between different components in cloud-native applications, it is vital to not only test functionality, but also service resiliency. Which statement is true regarding service resiliency?
Answer: D
Explanation:
The correct answer is: " Resiliency is about recovering from failures without downtime or data loss. " Service resiliency, in the context of cloud-native applications, is the ability of a service or system to recover from failures and continue functioning without downtime or data loss. It involves designing and implementing mechanisms to handle failures, such as network outages, hardware failures, or software errors, in a way that minimizes the impact on the overall system. The goal of resiliency is to ensure that the application or service can continue to operate and provide a certain level of functionality, even in the face of failures. This typically involves techniques such as redundancy, fault tolerance, and graceful degradation. By implementing resiliency measures, a cloud-native application can recover and adapt to failures, maintain availability, and preserve data integrity. The other statements are not accurate regarding service resiliency: Resiliency is not about not bringing a service to a functioning state after a failure. Instead, it is about recovering from failures and ensuring continued functionality. Resiliency is not about avoiding failures entirely. While it is desirable to prevent failures, resiliency focuses on the ability to handle and recover from failures when they do occur.
Resiliency testing is not limited to a test environment. It is important to test and validate the resiliency measures in both test environments and production environments to ensure the application can effectively handle failures in real-world scenarios.
NEW QUESTION # 138
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