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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Cloud Native Fundamentals | 11% | - Cloud Native Principles
|
| Topic 2: Leveraging Serverless Technologies for Cloud Native Development | 33% | - API Gateway
|
| Topic 3: Testing and Securing Cloud Native Applications | 13% | - Cloud Native Security
|
| Topic 4: Cloud Native Applications and Containerization | 33% | - Docker and Containerization
|
| Topic 5: Monitoring and Troubleshooting Cloud Native Applications | 10% | - OCI Logging
|
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NEW QUESTION # 172
A developer using Oracle Cloud Infrastructure (OCI) API Gateway needs to authenticate the API requests to their web application. The authentication process must be implemented using a custom scheme which accepts string-based parameters from the API caller. Which approach should the developer use in this scenario?
Answer: C
Explanation:
In the given scenario, the developer should use the approach of creating an authorizer function using token- based authorization. Token-based authorization is a commonly used approach for authenticating API requests.
It involves generating and issuing tokens to API callers, which they can then include in the requests they make to the API. The tokens serve as proof of authentication and are validated by the server to ensure the caller ' s identity and access rights. By creating an authorizer function using token-based authorization, the developer can implement a custom scheme that accepts string-based parameters from the API caller. This allows the developer to define their own authentication logic and validate the provided tokens according to their requirements. The authorizer function can be configured in the OCI API Gateway to be invoked before forwarding the request to the web application. It will perform the necessary token validation and authentication checks, allowing only authorized requests to access the protected resources of the web application.
NEW QUESTION # 173
Your team has created a serverless application deployed in Oracle Functions. It uses a Python function leveraging the Oracle Cloud Infrastructure (OCI) Python SDK to stop any OCI compute instance that does not comply with your corporate security standards. Although there are three non-compliant OCI compute instances, when you invoke this function, none of the instances were stopped. With respect to this issue, which of the following is a valid troubleshooting strategy?
Answer: C
Explanation:
The valid troubleshooting strategy in this scenario is to enable function logging in the OCI console, add some print statements in your function code, and then view the logs to troubleshoot. Enabling function logging allows you to capture and store logs generated by your function during its execution. By adding print statements or log statements in your function code, you can output relevant information and debug messages to the logs. This helps you understand the execution flow, identify any errors or issues, and gather more information about the function ' s behavior. To troubleshoot the issue of the Python function not stopping the non-compliant OCI compute instances, you can follow these steps: Enable function logging in the OCI console: Enable logging for your function to ensure that logs are captured during its execution. Modify your function code: Add relevant print statements or log statements at key points in your code to output debug information or verify the execution flow. For example, you can print the instance details that are being evaluated for compliance. Invoke the function: Trigger the function execution either through an event or manually. View the logs: Access the function logs in the OCI console or retrieve them programmatically.
Look for the expected print statements or log entries that indicate the status of each instance and the decisions made by the function. By reviewing the logs, you can analyze the output and identify any issues or discrepancies. It can help you determine if the function is correctly evaluating the compliance criteria, retrieving the instance details, or making the necessary API calls to stop the instances. You may need to adjust your code logic or investigate further based on the information provided in the logs. Enabling function remote debugging is not a suitable strategy in this case because it is primarily used for inspecting and debugging the function code during development, rather than troubleshooting issues in a deployed function. Enabling function tracing can provide insights into the execution flow and performance of the function but may not directly address the issue of the instances not being stopped. Ensuring that the application is deployed within the same OCI compartment as the instance is not directly related to troubleshooting the issue with the non- compliant instances. It is a consideration for access and permissions but does not provide specific insights into the problem at hand. Remember to refer to the Oracle Functions documentation and consult the official resources for detailed instructions and best practices on troubleshooting and monitoring Oracle Functions.
NEW QUESTION # 174
Which is the smalled unit of Kubernetes architecture?
Answer: D
Explanation:
The smallest unit of Kubernetes architecture is a Pod. A Pod is a logical grouping of one or more containers that are deployed together on the same host and share the same network namespace, storage, and other resources. It represents the smallest deployable unit in Kubernetes and is used to encapsulate and manage one or more closely related containers. Containers within a Pod are scheduled and deployed together, allowing them to communicate and share resources efficiently.
NEW QUESTION # 175
As a Cloud Native developer, you develop two services in Node.js and deploy them to two different Container Engine for Kubernetes (OKE) clusters that use the same Virtual Cloud Network (VCN). Your security team wants to analyze the network communication between them. How can this requirement be met in the most cost-effective way?
Answer: B
Explanation:
The best answer is: " Use the OCI Logging service and enable VCN flow logs. " To meet the requirement of analyzing network communication between two services deployed in different Container Engine for Kubernetes (OKE) clusters within the same Virtual Cloud Network (VCN) in a cost-effective way, you can use the OCI Logging service and enable VCN flow logs. The VCN flow logs feature in OCI allows you to capture and log network traffic information for your VCN resources. By enabling VCN flow logs, you can monitor and analyze the network communication between your services without the need for additional third- party logging services or tools. Enabling VCN flow logs provides visibility into the network traffic, including source and destination IP addresses, ports, protocols, and other relevant details. This information can be collected and stored in the OCI Logging service, where you can analyze and gain insights into the network communication patterns between your services. By leveraging the built-in capabilities of the OCI Logging service and enabling VCN flow logs, you can fulfill the security team ' s requirement for network communication analysis in a cost-effective manner. This eliminates the need for deploying additional third- party logging services or tools, reducing complexity and potential costs associated with their setup and maintenance. The other options mentioned are not the most cost-effective or suitable solutions for analyzing network communication in this scenario: Deploying a third-party logging service and aggregating the network flow logs would introduce additional costs and complexity, which may not be necessary considering the built- in capabilities provided by OCI. Rewriting the application to send logs to an outside log aggregator would not directly address the requirement of analyzing network communication between the services. It would focus more on application-level logs rather than network-level analysis. Deploying Wireshark and intercepting packets would require additional infrastructure setup and maintenance, which may not be the most cost- effective approach for network analysis in this scenario.
NEW QUESTION # 176
You are building a cloud native serverless travel application with multiple Oracle Functions in Java, Python, and Node.js. You need to build and deploy these functions to a single application named travel-app. Which command will help you complete this task successfully?
Answer: A
Explanation:
The correct answer is: fn deploy --app travel-app --allExplanation: To build and deploy multiple Oracle Functions as part of a single application named " travel-app, " you can use the fn deploy command with the appropriate options. The command fn deploy --app travel-app --all is the correct syntax. Here ' s what each part of the command does: fn deploy: This command is used to deploy functions and applications in Oracle Functions. --app travel-app: This option specifies the application name as " travel-app, " indicating that you want to deploy functions to this application. --all: This option indicates that you want to deploy all the functions within the application. By using fn deploy --app travel-app --all, you can build and deploy all the functions in your travel application across different programming languages (Java, Python, and Node.js) to the " travel-app " application in Oracle Functions.
NEW QUESTION # 177
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