Full 1z0-1084-24 Practice Test and 101 unique questions with explanations waiting just for you!
Oracle Cloud Dumps 1z0-1084-24 Exam for Full Questions - Exam Study Guide
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NEW QUESTION # 26
Your organization has deployed their e-commerce application on Oracle Container Engine for Kubernetes (OKE) and they are using the Oracle Cloud Infrastructure Registry (OCIR) service as their Docker image repository. They have deployed the OKE cluster using the 'custom create' option, and their Virtual Cloud Network (VCN) has three public subnets with associated Route Tables, Security Lists, and Internet Gateway.
However, their application containers are failing to deploy. On investigation, they discover that the images are not being pulled from the designated OCIR repository, even though the YAML configuration has the correct path to the images. What is a valid concern here that needs to be further investigated?
- A. Identity and Access Management (IAM) credentials need to be added for each user that deploys applications to the OKE cluster.
- B. Security List rule for TCP port 22 needs to be added to connect to the OCIR service.
- C. OKE cluster needs to have a secret with the credentials of their OCIR repository and use that secret in the Kubernetes deployment manifest.
- D. VCN hosting the OKE cluster worker nodes needs to have a NAT gateway to access OCIR repositories.
Answer: C
Explanation:
A valid concern that needs to be further investigated in this scenario is whether the OKE cluster has a secret with the credentials of the Oracle Cloud Infrastructure Registry (OCIR) repository and if that secret is being used in the Kubernetes deployment manifest. Here's why this concern is relevant: Access to the OCIR repository: In order for the OKE cluster to pull images from the OCIR repository, it needs proper authentication credentials. These credentials are typically provided in the form of a secret, which contains the necessary information to authenticate with the registry. Secret in the deployment manifest: The Kubernetes deployment manifest defines how the application containers should be deployed. It includes specifications such as the container image, resource requirements, and environment variables. To pull images from a private repository like OCIR, the deployment manifest needs to reference the appropriate secret that contains the registry credentials. If the images are not being pulled from the designated OCIR repository, it suggests that either the secret with the OCIR credentials is missing or it is not properly referenced in the deployment manifest. Further investigation should focus on verifying the presence and correctness of the secret, as well as confirming that it is correctly referenced in the deployment manifest for the application containers. By ensuring the presence of the secret and proper configuration in the deployment manifest, the OKE cluster will have the necessary credentials to access the OCIR repository and successfully deploy the application containers.
NEW QUESTION # 27
Which TWO are required to access the Oracle Cloud Infrastructure (OCI) Container Engine for Kubernetes (OKE) cluster from the kubectl CLI? (Choose two.)
- A. An SSH key pair with the public key added to the cluster worker nodes.
- B. Tiller enabled on the OKE cluster.
- C. A configured OCI API signing key pair.
- D. OCI Identity and Access Management (IAM) Auth Token.
- E. Install and configure the OCI CLI.
Answer: C,E
Explanation:
The correct options are: A configured OCI API signing key pair: The API signing key pair is used for authentication and authorization to access OCI resources, including the OKE cluster. The private key should be configured on your local machine to authenticate API requests. An SSH key pair with the public key added to the cluster worker nodes: This is required for secure SSH access to the worker nodes in the OKE cluster.
You need to generate an SSH key pair and add the public key to the cluster's worker node pool during cluster creation or update. Therefore, the correct options are having a configured OCI API signing key pair and an SSH key pair with the public key added to the cluster worker nodes.
NEW QUESTION # 28
What can you use to dynamically make Kubernetes resources discoverable to public DNS servers? (Choose the best answer.)
- A. CoreDNS
- B. kubeDNS
- C. DynDNS
- D. ExternalDNS
Answer: D
Explanation:
To dynamically make Kubernetes resources discoverable to public DNS servers, you can use ExternalDNS.
ExternalDNS is a Kubernetes add-on that automates the management of DNS records for your Kubernetes services and ingresses. It can be configured to monitor the changes in your Kubernetes resources and automatically update DNS records in a supported DNS provider. By integrating ExternalDNS with your Kubernetes cluster, you can ensure that the DNS records for your services and ingresses are automatically created, updated, or deleted based on changes in your Kubernetes resources. This allows your Kubernetes resources to be discoverable by external systems through public DNS servers.
NEW QUESTION # 29
Your team has chosen to use master encryption key (MEK) within an Oracle Cloud Infrastructure (OCI) Vault for encrypting Kubernetes secrets associated with your microservice deployments in OCI Container Engine for Kubernetes (OKE) clusters so that you can easily manage key rotation. Which of the following is NOT valid about rotating keys in the OCI Vault service?
- A. Each key version is tracked internally with separate unique OCIDS.
- B. Once rotated, older key versions can be used for encryption until they are deleted.
- C. When you rotate an MEK, a new key version is automatically generated.
- D. Both software and HSM-protected MEKS can be rotated.
Answer: B
Explanation:
The correct answer is: "Once rotated, older key versions can be used for encryption until they are deleted." The statement that is NOT valid about rotating keys in the OCI Vault service is: "Once rotated, older key versions can be used for encryption until they are deleted." In the OCI Vault service, when you rotate a master encryption key (MEK), a new key version is automatically generated. However, once a key is rotated and a new version is created, the older key versions are no longer usable for encryption. The purpose of key rotation is to ensure that the encryption keys are regularly updated and that older keys are no longer used to protect sensitive data. This enhances security by minimizing the impact of potential key compromises. The other statements mentioned are valid: Both software and hardware security module (HSM)-protected MEKs can be rotated. This provides flexibility in choosing the type of MEK and ensures that key rotation can be performed regardless of the encryption method used. Each key version is tracked internally with separate unique OCIDs (Oracle Cloud Identifiers). This allows for easy management and tracking of different key versions within the OCI Vault service. In summary, the statement that is NOT valid is the one suggesting that older key versions can still be used for encryption until they are deleted. Key rotation is designed to ensure the use of the latest key version and to retire older key versions to enhance security.
NEW QUESTION # 30
You need to push a new Docker container image to a repository in the Oracle Cloud Infrastructure (OCI) Registry. Which mechanism must you use to provide authentication?
- A. Generate an Auth Token to complete the authentication via the OCI CLI.
- B. Generate an Auth Token to complete the authentication via the Docker CLI.
- C. Generate an API signing key to complete the authentication via the Docker CLI.
- D. Generate an API signing key to complete the authentication via the OCI CLI.
Answer: B
Explanation:
To push a new Docker container image to a repository in OCI Registry, you need to use an Auth Token to complete the authentication via the Docker CLI1. An Auth Token is a secure, auto-generated password that you can use to authenticate with OCI services such as OCI Registry1. You can generate an Auth Token in the Console by following these steps1:
* In the top-right corner of the Console, open the Profile menu and then click User settings to view the details.
* On the Auth Tokens page, click Generate Token.
* Enter a friendly description for the auth token. Avoid entering confidential information.
* Click Generate Token. The new auth token is displayed.
* Copy the auth token immediately to a secure location from where you can retrieve it later, because you won't see the auth token again in the Console.
* Close the Generate Token dialog. After generating an Auth Token, you need to log in to OCI Registry by entering docker login <region-key>.ocir.io in a terminal window on the client machine running Docker, where <region-key> corresponds to the key for the OCI Registry region you're using1. When prompted for a username, enter your username in the format <tenancy-namespace>/<username>, where
<tenancy-namespace> is the auto-generated Object Storage namespace string of your tenancy1. When prompted for a password, enter the Auth Token you copied earlier1.
NEW QUESTION # 31
You have been asked to update an OKE cluster to a network configuration that has the least attack surface while the deployed applications are still directly available for access from the Internet. Which is a valid OKE cluster network configuration that meets this requirement? (Choose the best answer.)
- A. Private subnets for nodes; public subnets for the Kubemetes API endpoint and load balancers
- B. Private subnet for the Kubemetes API endpoint; public subnets for nodes and load balancers
- C. Private subnets for nodes, the Kubemetes API endpoint, and load balancers
- D. Private subnets for nodes and the Kubemetes API endpoint; public subnets for load balancers
Answer: D
Explanation:
The valid OKE cluster network configuration that meets the requirement of having the least attack surface while still allowing direct access to the deployed applications from the Internet is: Private subnets for nodes and the Kubernetes API endpoint; public subnets for load balancers. By placing the nodes and the Kubernetes API endpoint in private subnets, they are not directly accessible from the Internet, reducing the attack surface.
The load balancers, on the other hand, are placed in public subnets, allowing them to be accessed from the Internet and serve as the entry point for accessing the deployed applications. This configuration ensures that the critical components of the cluster, such as the nodes and the API endpoint, are protected within the private network, while still providing accessibility to the applications through the load balancers. It helps to enhance security by limiting direct access to the internal components of the cluster while maintaining the availability of the deployed applications.
NEW QUESTION # 32
In the DevOps lifecycle, what is the difference between continuous delivery and continuous deployment?
(Choose two.)
- A. Continuous delivery is a process that initiates deployment manually, while continuous deployment is based on automating the deployment process.
- B. Continuous delivery utilizes automatic deployment to a development environment, while continuous deployment involves automatic deployment to a production environment.
- C. Continuous delivery requires more automatic linting, while continuous deployment testing must be run manually.
- D. Continuous delivery involves automation of developer tasks, while continuous deployment involves manual operational tasks.
Answer: A,B
Explanation:
The two correct differences between continuous delivery and continuous deployment in the DevOps lifecycle are: Continuous delivery is a process that initiates deployment manually, while continuous deployment is based on automating the deployment process. In continuous delivery, the software is ready for deployment, but the decision to deploy is made manually by a human. On the other hand, continuous deployment automates the deployment process, and once the software passes all the necessary tests and quality checks, it is automatically deployed without human intervention. Continuous delivery involves automatic deployment to a development environment, while continuous deployment involves automatic deployment to a production environment. In continuous delivery, the software is automatically deployed to a development or staging environment for further testing and validation. However, the actual deployment to the production environment is performed manually. In continuous deployment, the software is automatically deployed to the production environment, eliminating the need for manual intervention in the deployment process. These differences highlight the level of automation and human involvement in the deployment process between continuous delivery and continuous deployment approaches in the DevOps lifecycle.
NEW QUESTION # 33
You are developing a polyglot serverless application using Oracle Functions. Which language cannot be used to write your function code?
- A. Python
- B. PL/SQL
- C. Go
- D. Node.js
- E. Java
Answer: B
Explanation:
Oracle Functions does not currently support PL/SQL as a language for writing function code. PL/SQL is a procedural language used in Oracle Database for developing stored procedures, triggers, and other database- related code. However, Oracle Functions supports several other popular programming languages such as Go, Node.js, Python, and Java, allowing developers to choose the language that best suits their application requirements and their familiarity with the language. While PL/SQL is powerful for working with the Oracle Database, it is not an option for writing function code in the Oracle Functions serverless architecture.
NEW QUESTION # 34
In the shared responsibility model, who should perform patching, upgrading, and maintaining of the worker nodes in provisioned Oracle Container Engine for Kubernetes (OKE) clusters?
- A. Oracle Support does it.
- B. It is an automated process.
- C. It is the responsibility of the customer.
Answer: C
Explanation:
In the shared responsibility model, Oracle is responsible for securing the underlying cloud infrastructure and platform services, while customers are responsible for securing their data and applications within the cloud4. For provisioned OKE clusters, Oracle manages the control plane (master nodes) of the Kubernetes cluster, while customers manage the data plane (worker nodes) of the cluster5. Therefore, it is the responsibility of the customer to perform patching, upgrading, and maintaining of the worker nodes in provisioned OKE clusters5. Customers can use tools such as Terraform or kubectl to automate these tasks5.
NEW QUESTION # 35
Which command is used to get a Docker image from Oracle Cloud Infrastructure Registry (OCIR) to the client machine?
- A. docker pull <region-key>.ocir.io/<tenancy-namespace>/<repo-name>: <tag>
- B. docker pull <tenancy-namespace>/<region-key>.ocir.io/<repo-name>: <tag>
- C. docker fetch <tenancy-namespace>/<region-key>.ocir.io/<repo-name>:<tag>
- D. docker fetch <region-key>.ocir.io/<tenancy-namespace>/<repo-name>:<tag>
Answer: A
Explanation:
To pull a Docker image from OCI Registry to the client machine, you need to use the docker pull command with the following syntax1: docker pull <region-key>.ocir.io/<tenancy-namespace>/<repo-name>:<tag> where:
* <region-key> is the key for the OCI Registry region you're using. For example, iad. See Availability by Region1.
* ocir.io is the OCI Registry name.
* <tenancy-namespace> is the auto-generated Object Storage namespace string of the tenancy that owns the repository from which you want to pull the image (as shown on the Tenancy Information page)1.
* <repo-name> is the name of the repository that contains the image you want to pull.
* <tag> is the tag of the image you want to pull.
NEW QUESTION # 36
Which technique is used for testing the entire user flow as well as the moving parts of a cloud native app, ensuring that there are no high-level discrepancies?
- A. Component Testing
- B. Contract Testing
- C. End-to-end Testing
- D. Unit Testing
- E. Integration Testing
Answer: C
Explanation:
End-to-end testing is a technique that involves checking the entire user flow as well as the moving parts of a cloud native app, ensuring that there are no high-level discrepancies3. End-to-end testing simulates real user scenarios and validates the functionality, performance, reliability, and security of the app from start to finish3. End-to-end testing has several benefits, such as3:
* Comprehensive testing: You can test your app as a whole and verify that all the components work together as expected.
* User-centric testing: You can test your app from the user's perspective and ensure that it meets the user' s needs and expectations.
* Quality assurance: You can test your app in a realistic environment and identify any issues or defects before releasing it to the users.
NEW QUESTION # 37
Oracle Functions monitors all deployed functions and collects and reports various metrics. Which is NOT available when viewing the Application metrics in the Oracle Cloud Infrastructure (OCI) Console?
- A. The number of retries made by the function before failing due to an error.
- B. The number of requests to invoke a function that failed with an error response.
- C. The length of time a function runs for.
- D. The number of requests to invoke a function that failed due to throttling.
Answer: A
Explanation:
The option that is NOT available when viewing the Application metrics in the Oracle Cloud Infrastructure (OCI) Console is: "The number of retries made by the function before failing due to an error." When viewing the Application metrics in the OCI Console for Oracle Functions, you can typically see metrics related to the performance and usage of your functions. These metrics provide insights into how your functions are performing and being utilized. The following metrics are usually available: The number of requests to invoke a function that failed due to throttling: This metric indicates the number of requests that were not processed by the function due to reaching the configured concurrency limit or throttling settings. The length of time a function runs for: This metric represents the duration of each function invocation, measuring the time it takes for the function to complete its execution. The number of requests to invoke a function that failed with an error response: This metric counts the number of requests that encountered an error during the function invocation, resulting in a failed response. However, the number of retries made by the function before failing due to an error is not typically available as part of the Application metrics in the OCI Console. The retries made by the function are usually handled at the invoker level, and the specific details of retries may not be captured as part of the application-level metrics. It's important to note that the availability of metrics and their specific details may vary depending on the version and configuration of Oracle Functions and the monitoring setup. It is recommended to refer to the Oracle Functions documentation and consult the official documentation for accurate and up-to-date information on available metrics.
NEW QUESTION # 38
How are cloud native application versions deployed to an OKE cluster when using a blue/green deployment strategy?
- A. New application versions are deployed in minor increments to a select group of people.
- B. Current applications are slowly replaced with new application versions.
- C. Both old and new application versions are deployed to production at the same time.
Answer: C
Explanation:
Blue/Green deployment strategy allows releasing a new version of an application using two identical environments where one of them is active at a given time. The current version of the application is provisioned on the active environment, whereas the new version gets deployed to the standby environment1. The traffic is shifted from the active to the standby environment by updating the ingress resource2. Therefore, both old and new application versions are deployed to production at the same time, but only one of them receives the traffic. Verified References: Announcing new deployment strategies for OCI DevOps Service, Blue-Green OKE Deployment
NEW QUESTION # 39
A developer has created another version of a microservice and wants 10% of the traffic to flow towards it for testing purposes. The application is already configured using OCI (Oracle Cloud Infrastructure) Service Mesh. Which of the following steps is the right approach to achieve this goal?
- A. Create a new Kubernetes deployment for the new version of the microservice and set the traffic splitting percentage to 10% in the Kubernetes service manifest.
- B. Create a new entry in the routeRules field of the ingress gateway route table manifest to configure traffic splitting between the old and new versions of the microservice and set the percentage to 10%.
- C. Create a new entry in the routeRules field of the virtual service route table manifest to configure traffic splitting between the old and new versions of the microservice and set the percentage to 10%.
- D. Use Kubernetes HPA (Horizontal Pod Autoscaler) to scale the new version of the microservice to handle 10% of the traffic automatically.
Answer: C
NEW QUESTION # 40
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?
- A. timeout
- B. None, as this time is not configurable.
- C. access-timeout
- D. idle-timeout
Answer: D
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 # 41
What is the maximum execution time of Oracle Functions?
- A. 300 seconds
- B. 120 seconds
- C. 60 seconds
- D. 240 seconds
Answer: A
Explanation:
The maximum execution time of Oracle Functions is 300 seconds, which is equivalent to 5 minutes. This means that a function running within Oracle Functions cannot exceed a runtime of 5 minutes. If a function requires longer execution times, alternative approaches such as invoking external services asynchronously or using long-running processes should be considered. It is important to design functions with this execution time limitation in mind to ensure optimal performance and efficiency within the Oracle Functions platform.
NEW QUESTION # 42
You have two microservices, A and B, running in production. Service A relies on APIs from service B. You want to test changes to service A without deploying all of its dependencies, which include service B. Which approach should you take to test service A?
- A. Test against production APIs.
- B. Test the APIs in private environments.
- C. There is no need to explicitly test APIs.
- D. Test using API mocks.
Answer: D
Explanation:
API mocking is a technique that simulates the behavior of real APIs without requiring the actual implementation or deployment of the dependent services1. API mocking allows you to test changes to service A without deploying all of its dependencies, such as service B, by creating mock responses for the APIs that service A relies on1. API mocking has several benefits, such as1:
* Faster testing: You can test your service A without waiting for service B to be ready or available, which reduces the testing time and feedback loop.
* Isolated testing: You can test your service A in isolation from service B, which eliminates the possibility of external factors affecting the test results or causing errors.
* Controlled testing: You can test your service A with different scenarios and edge cases by creating mock responses that mimic various situations, such as success, failure, timeout, etc.
NEW QUESTION # 43
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?
- A. Component Testing
- B. Blue/Green Deployment
- C. Canary Deployment
- D. A/B Testing
Answer: C
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 # 44
Your company has recently deployed a new web application that uses Oracle Functions. Your manager instructs you to implement monitoring metrics to manage your systems more effectively. You know that Oracle Functions automatically monitors functions on your behalf and reports metrics via Oracle Cloud Infrastructure (OCI) Monitoring. Which TWO metrics are collected and made available by this feature?
(Choose two.)
- A. Amount of RAM used by a function
- B. Amount of CPU used by a function
- C. Number of times a function is invoked
- D. Length of time a function runs
- E. Number of times a function Is removed
Answer: A,B
Explanation:
The correct answers are: Amount of RAM used by a function: Oracle Functions collects and reports the amount of memory (RAM) used by a function during its execution. This metric helps in monitoring and optimizing the resource consumption of functions. Length of time a function runs: Oracle Functions captures and provides the duration of function executions. This metric allows you to track the performance and responsiveness of your functions and identify any potential bottlenecks or delays. These metrics provide valuable insights into the resource utilization and performance of your functions, enabling you to monitor and optimize their behavior in the Oracle Cloud Infrastructure (OCI) environment.
NEW QUESTION # 45
Kubernetes includes various elements such as compute, network, and storage. Compute is essentially CPU (units) and memory (bytes). Within an OKE cluster, what is considered to be the smallest unit of deployment with respect to compute?
- A. Pod
- B. Deployment resource
- C. Namespace
- D. Container
- E. Service
Answer: A
Explanation:
A pod is the smallest and simplest unit in the Kubernetes object model that you create or deploy2. A pod represents a single instance of a running process in your cluster. Pods contain one or more containers, such as Docker containers. When you create a pod, you define how much CPU and memory (RAM) each container needs. A pod can also include storage volumes, IP addresses, options that govern how the container(s) should run, and more2. Pods are the basic building blocks of larger Kubernetes constructs such as deployments, replica sets, and services2.
NEW QUESTION # 46
Which testing strategy achieves high velocity of deployments and releases of cloud native applications?
(Choose the best answer.)
- A. Automated testing
- B. Integration testing
- C. A/B testing
- D. Penetration testing
Answer: A
Explanation:
The testing strategy that achieves high velocity of deployments and releases of cloud native applications is
"Automated testing." Automated testing involves the use of automated tools and frameworks to execute tests, validate functionality, and detect issues or bugs in an application. By automating the testing process, developers and DevOps teams can rapidly test and validate code changes, ensuring that new features and updates are functioning correctly before being deployed to production. This approach helps increase the speed and efficiency of the testing process, allowing for faster and more frequent deployments of cloud native applications.
NEW QUESTION # 47
Which TWO are characteristics of microservices? (Choose two.)
- A. All microservices share a data store.
- B. Microservices are hard to test in isolation.
- C. Microservices communicate over lightweight APIs.
- D. Microservices can be implemented in limited number of programming languages.
- E. Microservices can be independently deployed.
Answer: C,E
Explanation:
The two characteristics of microservices are: Microservices can be independently deployed: One of the key principles of microservices architecture is the ability to independently deploy each microservice. This means that changes or updates to one microservice can be made and deployed without affecting other microservices.
It allows for faster and more frequent deployments, enabling agile development and scalability. Microservices communicate over lightweight APIs: Microservices communicate with each other through lightweight APIs (Application Programming Interfaces). This enables loose coupling between microservices, as they can interact with each other using standard protocols like HTTP/REST or messaging systems like RabbitMQ or Kafka. Lightweight APIs facilitate flexibility and interoperability between microservices, making it easier to develop and maintain complex systems. The remaining statement, "All microservices share a data store," is not a characteristic of microservices. Microservices are designed to be autonomous and have their own data storage or database. Each microservice has its own data store, which promotes the principle of bounded contexts and avoids tight coupling between services. This allows for better scalability and independence of data management within each microservice.
NEW QUESTION # 48
What is the open source engine for Oracle Functions?
- A. OpenFaas
- B. Fn Project
- C. Apache OpenWhisk
- D. Knative
Answer: B
Explanation:
The Fn Project is an open source serverless computing platform that serves as the engine for Oracle Functions. It provides a runtime environment for executing functions in a serverless architecture. The Fn Project enables developers to build and deploy functions using different programming languages, including Java, Python, Node.js, and more. The Fn Project is designed to be flexible and extensible, allowing developers to define functions as small units of code and execute them in response to events or triggers. It supports event- driven execution, allowing functions to be triggered by various events such as HTTP requests, messages from messaging systems, or changes in data. Oracle Functions leverages the Fn Project as its underlying engine, providing a managed serverless platform within the Oracle Cloud Infrastructure. It allows developers to easily develop, deploy, and manage functions using the familiar Fn Project framework and tooling. With Oracle Functions, developers can focus on writing their function code while leaving the infrastructure management, scaling, and operational tasks to the platform.
NEW QUESTION # 49
Your team has been tasked with debugging a Cloud Native application developed using the following Oracle Cloud Infrastructure (OCI) services: Object Storage, Events, Functions, API Gateway, and Autonomous Database. Which of these is NOT a valid option for troubleshooting issues in OCI? (Choose the best answer.)
- A. View service metric information from the OCI Monitoring service.
- B. Leverage OCI Cloud Guard to extract and visualize the debug logs generated by your application.
- C. Use OCI Service Connector Hub to configure a service connector to automatically send logs to the OCI Logging Analytics service.
- D. Trace performance issues In the Application Performance Monitoring service by enabling Function traces.
- E. Configure the application to send logs to the OCI Logging service.
Answer: D
Explanation:
To troubleshoot issues in OCI, the option that is not valid is: Trace performance issues in the Application Performance Monitoring service by enabling Function traces. While the Application Performance Monitoring service in OCI allows you to monitor and trace the performance of your applications, it is specifically designed for monitoring OCI Functions (serverless functions) and does not directly apply to all types of applications. The other options mentioned, such as configuring logs in the OCI Logging service, leveraging OCI Cloud Guard for debug logs, viewing service metrics in the OCI Monitoring service, and using OCI Service Connector Hub for log forwarding, are valid options for troubleshooting and monitoring applications in OCI.
NEW QUESTION # 50
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