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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% | - OCI Events
|
| Topic 3: Cloud Native Applications and Containerization | 33% | - Oracle Cloud Infrastructure Registry
|
| Topic 4: Monitoring and Troubleshooting Cloud Native Applications | 10% | - OCI Logging
|
| Topic 5: Testing and Securing Cloud Native Applications | 13% | - Cloud Native Security
|
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NEW QUESTION # 105
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?
Answer: A
Explanation:
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
NEW QUESTION # 106
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: A,B
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 # 107
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?
Answer: D
Explanation:
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.
NEW QUESTION # 108
What is the difference between blue/green and canary deployment strategies? (Choose the best answer.)
Answer: C
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 # 109
Which statement is NOT valid regarding OCI Identity and Access Management (IAM) policies written for OKE Workload Identity?
Answer: C
Explanation:
Oracle ' s documented OKE Workload Identity policy pattern is Allow any-user to < verb > < resource > in < location > where all {...} with conditions identifying request.principal.type= ' workload ' , the Kubernetes namespace, service account, and cluster OCID. Crucially, Oracle defines < location > as either the entire tenancyor a specific compartment. Oracle even provides examples granting a workload access only to resources in a named compartment. Consequently, C is false because workload-identity policies do not have to be tenancy-wide. Options A, B, and D accurately describe the standard policy structure: any-user is narrowed through workload-specific conditions, and those conditions identify the exact OKE workload by cluster, namespace, and service account. This enables fine-grained least-privilege access without storing OCI credentials inside pods.
NEW QUESTION # 110
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