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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Monitoring & Troubleshooting Cloud Native Applications | 10% | - Monitoring, Logging, and Tracing
|
| Topic 2: Testing and Securing Cloud Native Applications | 13% | - Cloud Native Testing
|
| Topic 3: Cloud Native Applications and Containerization | 33% | - Container Orchestration
|
| Topic 4: Cloud Native Fundamentals | 11% | - Cloud Native Principles
|
| Topic 5: Leveraging Serverless Technologies for Cloud Native Development | 33% | - OCI Queue
|
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NEW QUESTION # 149
Having created a Container Engine for Kubernetes (OKE) cluster, you can use Oracle Cloud Infrastructure (OCI) Logging to view and search the logs of applications running on the worker node compute instances in the cluster. Which task is NOT required to collect and parse application logs? (Choose the best answer.)
Answer: B
Explanation:
The correct answer is: Enable monitoring for all worker nodes in the cluster. Enabling monitoring for all worker nodes in the cluster is not required to collect and parse application logs using Oracle Cloud Infrastructure (OCI) Logging. Monitoring is a separate feature that allows you to collect metrics and monitor the health and performance of the worker nodes. To collect and parse application logs, you need to perform the following tasks: Set the OCI Logging option to Enabled for the cluster: This enables the OCI Logging service for the cluster. Create a dynamic group with a rule that includes all worker nodes in the cluster: This helps in targeting the logs generated by the worker nodes. Configure a custom log in OCI Logging with the appropriate agent configuration: This involves specifying the log source, log path, and log format to parse and collect the application logs. By completing these tasks, you can collect and parse the application logs generated by the applications running on the worker node compute instances in the OKE cluster.
NEW QUESTION # 150
Your organization is transitioning a monolithic billing system into a cloud-native microservices application deployed on Oracle Cloud Infrastructure Container Engine for Kubernetes. To maintain high operational excellence under the observability pillar of cloud-native development, the engineering team has successfully set up centralized log aggregation and system metrics. However, you must now implement a solution that can track, visualize, and analyze end-to-end transaction flows and asynchronous call hops across multiple distributed microservices.
Which service should be integrated to fulfill this distributed transaction tracing requirement?
Answer: B
Explanation:
OCI Application Performance Monitoring is specifically designed fordistributed tracingof application transactions across multiple components and services. Oracle states that APM collects and processes trace and span data, allowing administrators to analyze transaction performance, latency, volume, and errors across distributed applications. Trace Explorer can visualize traces containing multiple spans and help identify bottlenecks as requests move between services, databases, functions, and asynchronous components. OCI Monitoring concentrates primarily on metric streams, while Logging Analytics focuses on log aggregation and analysis. Service Mesh can provide service-to-service traffic telemetry and may participate in observability, but APM is the service designed to collect, correlate, and analyze distributed transaction traces.
Therefore, D directly satisfies the end-to-end tracing requirement.
NEW QUESTION # 151
A DevOps engineer is troubleshooting the Meshifyd application, which is running in an Oracle Cloud Infrastructure (OCI) environment. The engineer has set up the OCI Logging service to store access logs for the application but notices that the logs from the Meshifyd application are not showing up in the logging service. The engineer suspects that there might be an issue with the logging configuration. Which two statements are potential reasons for logs from the Meshifyd application not showing up in the OCI Logging service?
Answer: B,D
Explanation:
The logconfig.json file is a configuration file that specifies how the Unified Monitoring Agent collects and uploads custom logs to the OCI Logging service2. The logconfig.json file contains an array of objects, each representing a custom log configuration2. Each custom log configuration object has the following fields2:
* logGroupObjectId: The OCID of the log group where the custom log is stored.
* logObjectId: The OCID of the custom log.
* paths: An array of paths to files or directories containing the custom logs.
* src: A regular expression that matches the files containing the custom logs.
* parser: A parser definition that specifies how to parse the custom logs. If the logconfig.json file has incorrect or missing OCID for the custom log in the logobjectId field, or incorrect or missing OCID for the custom log group in the logGroupObjectId field, then the Unified Monitoring Agent will not be able to upload the custom logs to the OCI Logging service2. Therefore, these are potential reasons for logs from the Meshifyd application not showing up in the OCI Logging service. Verified References: Unified Monitoring Agent Configuration File
NEW QUESTION # 152
What is the difference between blue/green and canary deployment strategies? (Choose the best answer.)
Answer: B
Explanation:
The correct answer is: In blue/green deployment, both old and new applications are in production at the same time. In canary deployment, the application is deployed incrementally to a select group of people. In a blue
/green deployment strategy, two identical environments, referred to as blue and green, are set up. The current production environment (blue) continues to serve live traffic while a new version of the application is deployed in the green environment. Once the new version is tested and deemed stable, traffic is routed from the blue environment to the green environment, making it the new production environment. This approach allows for a seamless switch between the old and new versions of the application. On the other hand, in a canary deployment strategy, the new version of the application is deployed incrementally to a small subset of users or a specific group. This allows for testing the new version in a real production environment while minimizing the impact of any potential issues. If the new version performs well and meets the desired criteria, it can be gradually rolled out to a larger audience or the entire user base. In summary, the main difference between blue/green and canary deployment strategies lies in how the deployment is managed. Blue/green involves simultaneous production of both old and new applications, while canary deployment focuses on incremental deployment to a select group of users.
NEW QUESTION # 153
When developing microservices, each one can be developed in the language of choice. Which term describes this type of development? (Choose the best answer.)
Answer: A
Explanation:
The term that describes developing microservices in different languages of choice is " Polyglot. " In a polyglot architecture, each microservice is developed using the most appropriate programming language or technology stack for its specific requirements. This approach allows developers to leverage the strengths of different languages and frameworks, enabling them to use the most suitable tool for each microservice while still maintaining interoperability between services.
NEW QUESTION # 154
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