Ultimate Guide to Prepare 1z0-1084-23 Certification Exam for Oracle Cloud in 2023
Use Real 1z0-1084-23 Dumps - Oracle Correct Answers updated on 2023
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NEW QUESTION # 48
A service you are deploying to Oracle Cloud Infrastructure (OCI) Container Engine for Kubernetes (OKE) uses a docker image from a private repository in OCI Registry (OCIR). Which configuration is necessary to provide access to this repository from OKE?
- A. Create a docker-registry secret for OCIR with API key credentials on the cluster, and specify the imagePullSecret property in the application deployment manifest.
- B. Create a dynamic group for nodes in the cluster, and a policy that allows the dynamic group to read repositories in the same compartment.
- C. Create a docker-registry secret for OCIR with identity Auth Token on the cluster, and specify the imagePullSecret property in the application deployment manifest.
- D. Add a generic secret on the cluster containing your identity credentials. Then specify a registryCredentials property in the deployment manifest.
Answer: C
Explanation:
Explanation
The necessary configuration to provide access to a private repository in OCI Registry (OCIR) from OCI Container Engine for Kubernetes (OKE) is to create a docker-registry secret for OCIR with an identity Auth Token on the cluster and specify the imagePullSecret property in the application deployment manifest. Here's the breakdown of the steps: Create a docker-registry secret for OCIR with an identity Auth Token: In order to authenticate with the private repository in OCIR, you need to create a secret in your OKE cluster that contains the necessary credentials. This can be done by generating an identity Auth Token from the OCI Console and creating a secret in the cluster using the kubectl command. Specify the imagePullSecret property in the application deployment manifest: In your application's deployment manifest (such as a Kubernetes Deployment or StatefulSet YAML file), you need to include the imagePullSecret property and specify the name of the secret you created in the previous step. This allows the OKE cluster to use the credentials from the secret to pull the docker image from the private repository in OCIR during deployment. By following these steps, you can ensure that your OKE cluster has the necessary access to the private repository in OCIR, and your application can successfully pull the required docker image during deployment.
NEW QUESTION # 49
Which kubectl command syntax is valid for implementing a rolling update deployment strategy in Kubernetes? (Choose the best answer.)
- A. kubectl update <deployment-name> --image=image:v2
- B. kubectl rolling-update <deployment-name> --image=image:v2
- C. kubectl upgrade -c <container> --image=image:v2
- D. kubectl update -c <container> --iniage=image: v2
Answer: B
Explanation:
Explanation
The correct syntax for implementing a rolling update deployment strategy in Kubernetes using the kubectl command is: kubectl rolling-update <deployment-name> --image=image:v2 This command initiates a rolling update of the specified deployment by updating the container image to image:v2. The rolling update strategy ensures that the new version of the application is gradually deployed while maintaining availability and minimizing downtime.
NEW QUESTION # 50
Your Oracle Cloud Infrastructure (OCI) Container Engine for Kubernetes (OKE) administrator has created an OKE cluster with one node pool in a public subnet. You have been asked to provide a log file from one of the nodes for troubleshooting purpose. Which step should you take to obtain the log file?
- A. SSH into the node using the public key.
- B. Use the username opc and password to login.
- C. It is impossible because OKE is a managed Kubernetes service.
- D. SSH into the nodes using the private key.
Answer: D
Explanation:
Explanation
To obtain a log file from one of the nodes in an Oracle Cloud Infrastructure (OCI) Container Enginefor Kubernetes (OKE) cluster, you should SSH into the nodes using the private key. Here's the step-by-step process: Obtain the private key: The private key is required to authenticate and access the nodes in the OKE cluster. You should obtain the private key from your administrator or the appropriate key pair used to create the cluster. SSH into the node: Use a secure shell (SSH) client, such as OpenSSH, to connect to the desired node in the cluster. The SSH command typically includes the private key file path and the public IP address or hostname of the node. Example command: ssh -i <private_key_file> opc@<node_public_ip> Replace
<private_key_file> with the path to the private key file and <node_public_ip> with the public IP address of the node you want to access. Navigate to the log file location: Once you have successfully connected to the node, navigate to the directory where the log file is located. The exact location and name of the log file may vary depending on the Kubernetes distribution and configuration. Copy or view the log file: You can either copy the log file from the node to your local machine using the scp command or view the contents directly on the node using tools like cat or less. By following these steps, you will be able to access the log file from the desired node in the OKE cluster for troubleshooting purposes.
NEW QUESTION # 51
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. Use Kubernetes HPA (Horizontal Pod Autoscaler) to scale the new version of the microservice to handle
10% of the traffic automatically. - B. Create a new Kubernetes deployment for the new version of the microservice and set the trafficsplitting percentage to 10% in the Kubernetes service manifest.
- 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. 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%.
Answer: C
NEW QUESTION # 52
Which TWO statements accurately describe an Oracle Functions application? (Choose two.)
- A. A Docker image containing all the functions that share the same configuration.
- B. A common context to store configuration variables that are available to all functions in the application.
A Docker image containing all the functions that share the same configuration. - C. A small block of code invoked in response to an OCI Events service.
A logical group of functions. - D. An application based on Oracle Functions, Oracle Cloud Infrastructure (OCI) Events, and OCI API Gateway services.
Answer: B,C
Explanation:
Explanation
The correct statements are: A common context to store configuration variables that are available to all functions in the application. A Docker image containing all the functions that share the same configuration. A logical group of functions.Explanation: An Oracle Functions application provides a common context for functions within the application. It allows you to store configuration variables that are accessible by all the functions in the application. Functions within the same application can share the same Docker image, which contains the common configuration and dependencies. An Oracle Functions application serves as a logical group that organizes related functions. Functions within the same application can be managed collectively, and they can interact and share resources within the application context.
NEW QUESTION # 53
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. Leverage OCI Cloud Guard to extract and visualize the debug logs generated by your application.
- B. View service metric information from the OCI Monitoring service.
- C. Use OCI Service Connector Hub to configure a service connector to automatically send logs to the OCI Logging Analytics service.
- D. Configure the application to send logs to the OCI Logging service.
- E. Trace performance issues In the Application Performance Monitoring service by enabling Function traces.
Answer: E
Explanation:
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 ApplicationPerformance 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 # 54
(CHK_1>3) You have an e-commerce application that loads customers' transactional data into the Oracle Cloud Infrastructure (OCI) Streaming service. The data must now be extracted and transformed before sending it to a third-party REST endpoint. You have been directed to leverage the OCI Service Connector Hub to automate this process. Which configuration option would address this requirement?
- A. Configure a new service connector as follows: * Source: Streaming * Task: Functions * Target: Functions
- B. Configure a new service connector as follows: * Source: Streaming * Task: API Gateway * Target: Functions
- C. Configure a new service connector as follows: * Source: Streaming * Task: API Gateway * Target: Notifications
- D. Configure a new service connector as follows: * Source: Streaming * Task: None * Target: Notifications
- E. Configure a new service connector as follows: * Source: Streaming * Task: Functions * Target: API Gateway
Answer: D
Explanation:
To address the requirement of extracting and transforming data from the Oracle Cloud Infrastructure (OCI) Streaming service and sending it to a third-party REST endpoint using the OCI Service Connector Hub, the best configuration option is: Configure a new service connector as follows: * Source: Streaming * Task: None * Target: Notifications By selecting the Streaming service as the source, you can capture the transactional data from the stream. Since there is a need to transform and send the data to a third-party REST endpoint, you don't need to specify any specific task in the connector. The target is set to Notifications, which allows you to send the transformed data to an endpoint outside of the OCI environment. Notifications can be configured to deliver the data to various supported destinations, including HTTP endpoints, email addresses, and more. This configuration enables you to automate the process of extracting data from the streaming service and sending it to the desired third-party REST endpoint, fulfilling the requirement of extracting, transforming, and forwarding the data.
NEW QUESTION # 55
Which of these is a valid use case for OCI Queue?
- A. Building decoupled and scalable systems
- B. Storing and retrieving large files
- C. Sending real-time streaming data
- D. Managing network traffic between services
Answer: A
Explanation:
OCI Queue is a fully managed serverless service that helps decouple systems and enable asynchronous operations2. Queue handles high-volume transactional data that requires independently processed messages without loss or duplication2. A valid use case for OCI Queue is building decoupled and scalable systems, such as event-driven architectures or microservices-based applications2. For example, you can use Queue to decouple your application and build an event-driven architecture. Decoupling ensures that individual application components can scale independently and that you can future-proof your design so that as new application components are built, they can publish or subscribe to the queue2.
NEW QUESTION # 56
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 number of requests to invoke a function that failed due to throttling.
- D. The length of time a function runs for.
Answer: A
Explanation:
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 # 57
You developed a microservices-based application that runs in an Oracle Cloud Infrastructure (OCI) Container Engine for Kubernetes (OKE) cluster. Your security team wants to use SSL termination for this application. What should you do to create a secure SSL termination for this application using the fewest steps possible?
- A. Add these annotations to the kubernetes service: annotations: service.beta.kubernetes.io/oci-load-balancer-ssl-ports: "443" service.beta.kubernetes.io/oci-load-balancer-ssl-secret-key: ssl secret-key
- B. Create a self-signed certificate and its corresponding key. Create a Kubernetes secret using the certificate and the key. Then add these annotations to the Kubernetes service: annotations: service.beta.kubernetes.io/oci-load-balancer-ssl-ports: "443" service.beta.kubernetes.io/oci-load-balancer-tls-secret: ssl certificate-secret
- C. Generate a self-signed certificate using Let's Encrypt. Use that certificate on OCI Load Balancer. Create the Kubernetes service using this load balancer.
- D. Create a self-signed certificate and its corresponding key. Create a Kubernetes secret using the certificate and the key. Then add these annotations to the Kubernetes service: annotations: service.beta.kubernetes.io/oci-load-balancer-ssl-ports: "443" service.beta.kubernetes.io/oci-load-balancer-security-list management-mode: "Frontend"
Answer: B
Explanation:
The correct answer is: "Create a self-signed certificate and its corresponding key. Create a Kubernetes secret using the certificate and the key. Then add these annotations to the Kubernetes service: annotations: service.beta.kubernetes.io/oci-load-balancer-ssl-ports: '443' service.beta.kubernetes.io/oci-load-balancer-tls-secret: ssl certificate-secret." To create a secure SSL termination for your microservices-based application running in an OCI Container Engine for Kubernetes (OKE) cluster, you can follow these steps: Create a self-signed certificate and its corresponding key: Generate a self-signed SSL certificate and its private key using a tool like OpenSSL. Create a Kubernetes secret: Create a Kubernetes secret using the certificate and key obtained in the previous step. This secret will securely store the certificate and key within the Kubernetes cluster. Add annotations to the Kubernetes service: Modify the Kubernetes service that exposes your application and add the following annotations to enable SSL termination: annotations: service.beta.kubernetes.io/oci-load-balancer-ssl-ports: '443' (specify the SSL port as 443) annotations: service.beta.kubernetes.io/oci-load-balancer-tls-secret: ssl certificate-secret (specify the name of the Kubernetes secret containing the certificate and key) By following these steps, you can create a secure SSL termination for your application using a self-signed certificate and Kubernetes secret. The annotations added to the Kubernetes service ensure that the SSL port is configured correctly and the TLS secret is utilized for SSL termination when traffic reaches the load balancer. The other options provided are not the most suitable approaches for achieving secure SSL termination in an OCI Container Engine for Kubernetes (OKE) cluster: Adding annotations related to the OCI load balancer SSL secret key is not the correct approach for SSL termination in this scenario. Using Let's Encrypt to generate a self-signed certificate and configuring it on the OCI Load Balancer is not necessary when you can create and manage the SSL certificate within the Kubernetes cluster using a Kubernetes secret.
NEW QUESTION # 58
In the DevOps lifecycle, what is the difference between continuous delivery and continuous deployment? (Choose two.)
- A. Continuous delivery utilizes automatic deployment to a development environment, while continuous deployment involves automatic deployment to a production environment.
- B. Continuous delivery involves automation of developer tasks, while continuous deployment involves manual operational tasks.
- C. Continuous delivery requires more automatic linting, while continuous deployment testing must be run manually.
- D. Continuous delivery is a process that initiates deployment manually, while continuous deployment is based on automating the deployment process.
Answer: A,D
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 # 59
Which is NOT a valid option to execute a function deployed in Oracle Functions?
- A. Trigger by an event in the Oracle Cloud Infrastructure (OCI) Events service.
- B. Invoke from the Fn Project CLI.
- C. Send signed HTTP requests to the function's invoke endpoint.
- D. Invoke from the Docker CLI.
- E. Invoke from the OCI CLI.
Answer: D
Explanation:
The correct answer is: Invoke from the Docker CLI. Executing a function deployed in Oracle Functions is typically done using the following options: Invoke from the Fn Project CLI: The Fn Project CLI provides a command-line interface specifically designed for interacting with Oracle Functions. You can use commands like fn invoke to invoke a function. Trigger by an event in the Oracle Cloud Infrastructure (OCI) Events service: You can configure events in OCI to trigger your function based on various criteria, such as object storage events, resource state changes, or scheduled events. Invoke from the OCI CLI: The OCI CLI (Command Line Interface) allows you to interact with various services in Oracle Cloud Infrastructure, including Oracle Functions. You can use the fn invoke command to invoke a function. Send signed HTTP requests to the function's invoke endpoint: Oracle Functions provides an HTTP endpoint that can be used to invoke functions. You can send signed HTTP requests to this endpoint using tools or programming languages that support making HTTP requests. On the other hand, invoking a function deployed in Oracle Functions using the Docker CLI is not a valid option. The Docker CLI is primarily used for managing Docker containers and images, and it does not provide a direct mechanism for invoking functions in Oracle Functions.
NEW QUESTION # 60
As a developer, you have been tasked with implementing a microservices-based application. Which THREE technologies are best suited to accomplish the task? (Choose three.)
- A. Kubemetes
- B. Anomaly Detection
- C. Docker
- D. Service Mesh
- E. Big Data
- F. Terraform
Answer: A,C,D
Explanation:
The three technologies best suited for implementing a microservices-based application are: Service Mesh: A service mesh is a dedicated infrastructure layer that provides features like service discovery, load balancing, encryption, authentication, and observability for microservices. It helps in managing the communication and interactions between microservices in a scalable and secure manner. Kubernetes: Kubernetes is an open-source container orchestration platform that enables the deployment, scaling, and management of containerized applications. It provides features like automated scaling, service discovery, load balancing, and self-healing capabilities, which are essential for managing microservices in a distributed environment. Docker: Docker is a popular containerization platform that allows packaging applications and their dependencies into lightweight containers. It provides a consistent and portable environment for running microservices, enabling easy deployment and scalability. Docker also facilitates isolation and resource efficiency, making it an ideal choice for deploying microservices. While Big Data, Anomaly Detection, and Terraform are valuable technologies, they are not specifically focused on enabling the implementation of microservices-based applications.
NEW QUESTION # 61
From a DevOps process standpoint, it is a good practice to keep changes to an application under version control. Which of the following allows changes to a Docker image to be stored in a version control system?
- A. Updating Dockerfile
- B. Executing docker commit
- C. Executing docker save
- D. Updating docker-compose.yml
Answer: B
Explanation:
Explanation
The option that allows changes to a Docker image to be stored in a version control system is: docker commit The docker commit command is used to create a new image from a container's changes. It takes a running container as input, captures the changes made to it, and creates a new image with those changes. This new image can then be tagged and pushed to a registry, or saved locally. By using docker commit, you can effectively capture the changes made to a container as a new image and store it in a version control system along with the Dockerfile and other project files. This allows for reproducibility and traceability of changes to the Docker image over time.
NEW QUESTION # 62
Which open source engine is used by Oracle Cloud Infrastructure (OCI) to power Oracle Functions?
- A. Fn Project
- B. Knative
- C. Apache OpenWhisk
- D. Kubeless
Answer: A
Explanation:
Fn Project is the open source engine that is used by OCI to power Oracle Functions1. Fn Project is an open source, container native, serverless platform that can be run anywhere - any cloud or on-premises1. Fn Project is easy to use, extensible, and performant. You can download and install the open source distribution of Fn Project, develop and test a function locally, and then use the same tooling to deploy that function to Oracle Functions1. Verified Reference: Overview of Functions
NEW QUESTION # 63
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 number of requests to invoke a function that failed due to throttling.
- D. The length of time a function runs for.
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 # 64
To enforce mutual TLS (mTLS) authentication for clients of your microservices, your team has chosen to leverage the Oracle Cloud Infrastructure (OCI) API Gateway service to create new API Deployments that will direct requests to your microservices. Which is NOT valid regarding the mTLS options in OCI API Gateway?
- A. Once the mTLS request policy is enabled, ALL requests with valid certificates are routed to the backend unless you have defined one or more particular values (such as a domain name).
- B. Custom CA or custom CA bundles can be added to your gateway's trust store ONLY if they already exist in the OCI Certificates service.
- C. Adding a custom certificate authority (CA) or custom CA bundle to your gateway's trust store for mTLS is optional unless you need to reject certificates that do not contain particular values (such as a domain name).
- D. The mTLS request policy can only be enabled at the API deployment specification level, which then applies globally to ALL routes in that deployment.
Answer: C
Explanation:
The correct answer is: "Adding a custom certificate authority (CA) or custom CA bundle to your gateway's trust store for mTLS is optional unless you need to reject certificates that do not contain particular values (such as a domain name)." The statement that is NOT valid regarding the mTLS options in OCI API Gateway is: "Adding a custom certificate authority (CA) or custom CA bundle to your gateway's trust store for mTLS is optional unless you need to reject certificates that do not contain particular values (such as a domain name)." In OCI API Gateway, adding a custom certificate authority (CA) or custom CA bundle to the gateway's trust store is not optional. It is a necessary step when configuring mTLS authentication. The trust store in the gateway is used to validate the client certificates presented during mTLS authentication. The other options listed are valid regarding the mTLS options in OCI API Gateway: Once the mTLS request policy is enabled, all requests with valid certificates are routed to the backend unless specific values (such as a domain name) are defined. This means that only requests with valid client certificates will be allowed to access the backend microservices. The mTLS request policy can only be enabled at the API deployment specification level, and it applies globally to all routes in that deployment. This ensures consistent mTLS authentication across all routes and endpoints in the API deployment. Custom CA or custom CA bundles can be added to the gateway's trust store, but only if they already exist in the OCI Certificates service. This allows you to include trusted CAs or CA bundles to validate client certificates during mTLS authentication.
NEW QUESTION # 65
(CHK_4>3) Your development team decides to create and deploy some business logic to serverless Oracle Functions. You are asked to help facilitate the monitoring, logging, and tracing of these services. Which is NOT valid about troubleshooting Oracle Functions?
- A. Oracle Functions invocation is enabled by default
- B. Oracle Functions metrics are available at both the function and application level.
- C. Oracle Functions invocation logs are enabled at the application level.
- D. Oracle Functions tracing is enabled at the function level.
Answer: D
Explanation:
The option that is NOT valid about troubleshooting Oracle Functions is: "Oracle Functions tracing is enabled at the function level." In Oracle Functions, tracing is not enabled at the function level. Instead, tracing is enabled at the application level. When you enable tracing for an application, it applies to all the functions within that application. Tracing allows you to capture detailed information about the execution flow and performance of the functions, helping you analyze and debug issues. The other options mentioned are valid: Oracle Functions invocation logs are enabled at the application level. Invocation logs provide visibility into the details of function invocations, including input, output, duration, and any error messages. These logs are generated and stored by Oracle Functions, and you can access them for troubleshooting and monitoring purposes. Oracle Functions invocation is enabled by default. Once you deploy a function, it becomes invocable by default. You can configure different triggers to invoke the function, such as HTTP requests, scheduled events, or events from other Oracle Cloud Infrastructure services. Oracle Functions metrics are available at both the function and application level. Metrics provide insights into the usage, performance, and behavior of functions. They can include metrics such as invocations per minute, average duration, and error counts. These metrics can be viewed in the Oracle Cloud Infrastructure Console or accessed programmatically through APIs. It's important to note that the specific configuration and behavior of monitoring, logging, and tracing in Oracle Functions may depend on the version, configuration, and options you have chosen. It is recommended to refer to the Oracle Functions documentation and consult the official documentation for accurate and up-to-date information on troubleshooting and monitoring Oracle Functions.
NEW QUESTION # 66
Which of the following TWO statements are TRUE about deleting a Kubernetes cluster? (Choose two.)
- A. Upon deleting a cluster, no other resources created during the cluster creation process or associated with the cluster (such as VCNS. Internet Gateways, NAT Gateways, Route Tables, Security Lists. Load Balancers, and Block Volumes) are deleted automatically.
- B. Upon deleting a cluster, other resources created during the cluster creation process or associated with the cluster (such as VCNS, Internet Gateways, NAT Gateways, Route Tables, Security Lists,B.Load Balancers, and Block Volumes) are deleted automatically.
- C. You cannot change the autogenerated names of the worker nodes in the format oke-c<part-of cluster- CCID>-<part-of-node-pool-OCID>-<part-of-subnet-OCID>-<slot> within a Kubernetes cluster.
- D. Changing the auto-generated name of a worker node does not affect the deletion of the worker node when the cluster in which it is created is deleted.
- E. If you change the auto-generated name of a worker node and then delete the cluster, the renamed worker node is not deleted.
Answer: A,E
Explanation:
Explanation
The correct statements about deleting a Kubernetes cluster are: If you change the auto-generated name of a worker node and then delete the cluster, the renamed worker node is not deleted. Changing the name of a worker node does not affect its deletion when the cluster is deleted. The cluster deletion process does not consider the renamed worker nodes and will delete all worker nodes associated with the cluster. Upon deleting a cluster, no other resources created during the cluster creation process or associated with the cluster (such as VCNs, Internet Gateways, NAT Gateways, Route Tables, Security Lists, Load Balancers, and Block Volumes) are deleted automatically. These additional resources are not automatically deleted when the cluster is deleted.
You need to manage the deletion of these resources separately, if desired. Therefore, the correct statements are that the renamed worker nodes are not deleted when the cluster is deleted, and other associated resources are not automatically deleted when the cluster is deleted.
NEW QUESTION # 67
(CHK_1>3) You have an e-commerce application that loads customers' transactional data into the Oracle Cloud Infrastructure (OCI) Streaming service. The data must now be extracted and transformed before sending it to a third-party REST endpoint. You have been directed to leverage the OCI Service Connector Hub to automate this process. Which configuration option would address this requirement?
- A. Configure a new service connector as follows: * Source: Streaming * Task: Functions * Target:
Functions - B. Configure a new service connector as follows: * Source: Streaming * Task: None * Target: Notifications
- C. Configure a new service connector as follows: * Source: Streaming * Task: API Gateway * Target:Functions
- D. Configure a new service connector as follows: * Source: Streaming * Task: Functions * Target: API Gateway
- E. Configure a new service connector as follows: * Source: Streaming * Task: API Gateway * Target:
Notifications
Answer: B
Explanation:
Explanation
To address the requirement of extracting and transforming data from the Oracle Cloud Infrastructure (OCI) Streaming service and sending it to a third-party REST endpoint using the OCI Service Connector Hub, the best configuration option is: Configure a new service connector as follows: * Source: Streaming * Task: None * Target: Notifications By selecting the Streaming service as the source, you can capture the transactional data from the stream. Since there is a need to transform and send the data to a third-party REST endpoint, you don't need to specify any specific task in the connector. The target is set to Notifications, which allows you to send the transformed data to an endpoint outside of the OCI environment. Notifications can be configured to deliver the data to various supported destinations, including HTTP endpoints, email addresses, and more. This configuration enables you to automate the process of extracting data from the streaming service and sending it to the desired third-party REST endpoint, fulfilling the requirement of extracting, transforming, and forwarding the data.
NEW QUESTION # 68
Which is ONE of the differences between a microservice and a serverless function?
- A. Microservices always use a data store while serverless functions never use a data store.
- B. Microservices are triggered by events while serverless functions are not.
- C. Microservices are stateless while serverless functions are stateful.
- D. Microservices are used for long running operations while serverless functions are used for short running operations.
Answer: D
Explanation:
The correct answer is: Microservices are used for long running operations while serverless functions are used for short running operations. One of the key differences between microservices and serverless functions is the duration of their execution. Microservices are typically designed to handle long-running operations and may continuously run and process requests as part of a larger system. They are often deployed and managed as long-lived services. On the other hand, serverless functions are designed to handle short-lived operations or tasks that execute in response to specific events or triggers. They are event-driven and execute only when invoked, providing a lightweight and ephemeral computing model. Serverless functions are often used for executing small, isolated pieces of code without the need for managing infrastructure or scaling concerns. While both microservices and serverless functions can be stateless or stateful depending on the specific implementation, the key distinction lies in the typical duration and execution pattern of these components within an application architecture.
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