Oracle 1z0-1084-24 Dumps

Explanation

The correct answer is: "A unique OCID is automatically generated for each secret and remains unchanged even when creating a new secret version." The statement that is NOT valid about managing secrets in the OCI Vault service is: "A unique OCID is automatically generated for each secret and remains unchanged even when creating a new secret version." In OCI Vault, a secret is identified by its OCID (Oracle Cloud Identifier), which is a unique identifier for each resource in Oracle Cloud Infrastructure. However, when a new secret version is created for an existing secret, the OCID remains the same for the secret itself, but a new OCID is generated for the secret version. This allows you to track and manage different versions of a secret while maintaining a consistent OCID for the secret itself. The other statements mentioned are valid: You can manually create new secrets as well as new secret versions using the OCI Console. This means you have control over creating and managing secrets within the Vault service. A secret reuse rule prevents the use of secret contents across different versions of a secret. This ensures that each secret version maintains its own unique set of contents and avoids accidental reuse or sharing of secrets across versions. By default, new secret versions automatically expire in 90 days unless you configure an expiry rule. This helps enforce good security practices by automatically rotating secrets periodically, reducing the risk of unauthorized access in case of compromise. Therefore, the statement that is NOT valid is the one regarding the uniqueness and consistency of the OCID when creating new secret versions.

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.

Explanation

The correct answers are: Set up the following dynamic group for your function's OCID: Name: read-file-dg Rule: resource.id = "ocid1.fnfunc.oc1.phx.aaaaaaaakeaobctakezjz5i4ujj7g25q7sx5mvr55pms6f4da" Set up a policy with the following statement to grant read access to the bucket: Statement: allow dynamic-group read-file-dg to read objects in compartment qa-compartment where target.bucket.name = 'input-bucket' Explanation: To implement the use case of reading a JSON file object from an Object Storage bucket using Resource Principals with Oracle Functions, you need to configure the following: Create a dynamic group named "read-file-dg" and associate it with your function's OCID. This dynamic group helps identify the function as a member of the group for policy enforcement. Create a policy that grants read access to the bucket. The policy statement should allow the dynamic group "read-file-dg" to read objects in the compartment "qa-compartment" and specify the target bucket name as "input-bucket". This policy ensures that the function has the necessary permissions to access the specified bucket. By setting up the dynamic group and policy, you ensure that the function, as a member of the dynamic group, has the required read access to the specified Object Storage bucket in the specified compartment.

Explanation

Oracle Cloud Infrastructure (OCI) API Gateway supports various backend-types to handle incoming requests and route them to the appropriate backend service. However, "ORACLE_STREAMS_BACKEND" is not a valid backend-type in OCI API Gateway. "STOCK_RESPONSE_BACKEND" is a valid backend-type that allows you to configure static responses directly in the API Gateway without routing requests to any specific backend service. This can be useful for handling simple requests or returning predefined responses. "HTTP BACKEND" is another valid backend-type that enables routing requests to an HTTP backend service. "ORACLE_FUNCTIONS_BACKEND" is a valid backend-type that allows you to route requests to Oracle Functions, which are serverless functions that can be used to execute specific logic or operations. However, "ORACLE_STREAMS_BACKEND" is not a valid backend-type in OCI API Gateway. The API Gateway does not have native support for Oracle Streams as a backend service. Oracle Streams is a feature of Oracle Database that provides a publish-subscribe mechanism for data replication and distribution within an Oracle Database environment. It is not directly integrated as a backend service in OCI API Gateway.

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.

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.

The best way to store and use secret information, such as database passwords, in Oracle Functions is to use the OCI Vault service. The OCI Vault service provides encryption and decryption capabilities for sensitive data. You can use the OCI Vault service to encrypt the password and store it as an application-level configuration variable. Then, you can use the generated key to decrypt the password in your function code when you need to access the database. Verified References: Oracle Functions: Using Key Management To Encrypt And Decrypt Configuration Variables

Explanation

The use case that is NOT a valid use case for leveraging the Oracle Cloud Infrastructure (OCI) Events service is "Capturing the OCI Monitoring service alarms and invoking autoscaling of compute instances." The OCI Events service is designed to provide event-driven architecture and enable automated responses to events occurring within the Oracle Cloud Infrastructure. It allows you to react to changes and activities happening within your OCI resources. The Events service can be used to trigger actions based on events like file uploads, resource changes, or task completions. However, capturing the OCI Monitoring service alarms and invoking autoscaling of compute instances is not a direct functionality provided by the OCI Events service. Autoscaling based on monitoring metrics is typically handled by the OCI Autoscaling service, which is specifically designed for that purpose. The OCI Monitoring service provides monitoring and alerting capabilities, while the Autoscaling service handles the dynamic scaling of compute instances based on predefined policies and thresholds.

To prevent images from being deleted from a repository, you can set the global policy of image retention to “Retain All Images”. This policy applies to all repositories in the tenancy and overrides any individual repository settings. You can also lock the policy to prevent any changes to it. Verified References: Using Retention Rules to Preserve Data

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.

Explanation

The correct answer is: Controlling access to the backend OCI resources. OCI API Gateway does not provide direct control over access to backend OCI resources. It primarily focuses on managing and securing access to APIs exposed through the gateway. The gateway acts as a front-end for APIs and provides features such as authentication, authorization, rate limiting, and CORS support. While you can configure authentication and authorization policies, limit the number of requests, and enable CORS support in OCI API Gateway, it does not directly control access to backend OCI resources. Access to backend resources is typically managed through other means, such as IAM policies, network security rules, or resource-specific access controls.

Explanation

(OPT) iad.ocir.io/myproject/heyoci/myapp:latest The three valid tags for an image named myapp in the heyoci namespace of the Oracle Cloud Infrastructure Registry (OCIR) in the us-ashburn-1 (iad) region are: iad.ccir.io/heyoci/myapp:latest This tag specifies the latest version of the myapp image in the heyoci namespace in the iad region. iad.ocir.io/heyoci/myapp:0.0.2-beta This tag specifies version 0.0.2-beta of the myapp image in the heyoci namespace in the iad region. us-ashburn-1.ocir.io/heyoci/myapp:0.0.2-beta This tag specifies version 0.0.2-beta of the myapp image in the heyoci namespace in the us-ashburn-1 region. The other options mentioned are not valid tags for the given scenario: us-ashburn-1.ocir.io/heyoci/myapp:0.0.2-beta (incorrect format, missing the namespace) iad.ocir.io/myproject/heyoci/myapp:latest (incorrect format, incorrect order of namespace and project) us-ashburn-1.ocir.io/myproject/heyoci/myapp:latest (incorrect format, incorrect order of namespace and project) The correct format for tagging an image in OCIR is .ocir.io//:.

Explanation

The correct answer is: "Tightly coupled." Tightly coupling is not a criterion that is usually met by a microservice. In fact, microservices are designed to be loosely coupled. Loosely coupling refers to reducing dependencies and minimizing the direct interactions between different components or services. Microservices promote independence and autonomy, allowing each service to operate independently without being tightly bound to other services. The other options listed are criteria that are typically met by microservices: Organized around business capabilities: Microservices architecture suggests designing services around specific business capabilities or functionalities. This allows for focused and specialized services that align with the organization's business needs. Independently deployable: Microservices are designed to be independently deployable units. Each microservice can be developed, tested, and deployed separately, without impacting other services. This enables agility and scalability in the deployment process. Highly maintainable: Microservices are often designed to be highly maintainable. They are smaller in scope and focused on specific tasks, making it easier to manage and maintain individual services. Additionally, microservices can be updated, patched, or replaced without affecting the entire system, facilitating easier maintenance and evolution of the application. Therefore, the criterion that is NOT typically met by a microservice is being tightly coupled.

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

An action is a response that you define for the rule to perform when the filter finds a matching event1. The action type specifies the service that you want to invoke by delivering the event message1. The following action types are available in OCI Events rule definition1:

Streaming: Send to a stream from Oracle Streaming Service.

Notifications: Send to an Oracle Notification Service topic.

Functions: Send to an Oracle Functions Service endpoint. Email is not a valid action type for OCI Events rule definition. To send an email as an action, you need to use the Notifications service and subscribe to a topic with an email protocol2.

Visibility timeout is the concept in OCI Queue that is responsible for hiding a message from other consumers for a predefined amount of time after it has been delivered to a consumer1. The visibility timeout can be set at the queue level when creating a queue, or it can be specified when consuming or updating messages1. If a consumer is having difficulty successfully processing a message, it can update the message to extend its invisibility1. If a message’s visibility timeout is not extended, and the consumer does not delete the message, it returns to the queue1. Verified References: Overview of Queue

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.

Explanation

The correct value for the "type" field in the API deployment specification is "STOCK_RESPONSE_BACKEND". By setting the "type" to "STOCK_RESPONSE_BACKEND", you are indicating that the backend for the specified route should return a pre-defined response. This type of backend is commonly used when you want a specific response to be returned consistently, regardless of the actual backend service implementation. In this case, the API deployment specification is configured to have a single route with the path "/hello" and the method "GET". The backend section specifies the type as "STOCK_RESPONSE_BACKEND". Additionally, it defines the response status code as 200, sets the "Content-Type" header to "application/json", and provides the JSON content in the "body" field. Using this configuration, any request to the "/hello" path with the "GET" method will always receive a consistent JSON response with the content "{"myjson": "consistent response"}".

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.

Explanation

The correct API method to read and process a stream in the Oracle Cloud Infrastructure (OCI) Streaming service is "GetMessages". When consuming messages from a stream in OCI Streaming, you use the "GetMessages" API method. This method allows you to retrieve a batch of messages from the stream for processing. You can specify parameters such as the number of messages to retrieve, the maximum size of the messages, and the timeout for the request. By using the "GetMessages" API method, you can retrieve messages from the stream and then process them in your microservices application. This allows you to consume and handle the data in real-time as it becomes available in the stream. The "GetMessages" method provides flexibility in how you consume and process the messages, enabling you to implement custom logic and workflows based on your specific application requirements.

Explanation

The correct answer is: "A finely tuned piece of software that performs a single or small collection of tasks." Microservices are a software architectural approach where a system is decomposed into small, independent services that are responsible for performing a specific set of tasks. Each microservice is designed to be focused, finely tuned, and highly cohesive, handling a single or a small collection of related tasks. This granularity allows for better scalability, maintainability, and flexibility in building complex applications. The other options provided do not accurately define microservices: An open-source system for automating deployment, scaling, and management of containerized applications refers to a container orchestration tool like Kubernetes, which can be used to manage microservices but is not a definition of microservices itself. A statically typed and compiled language describes a type of programming language characteristic and is not specific to the concept of microservices. An organized collection of structured information or data, typically stored electronically in a computer system is a definition of a database or data storage system and is unrelated to microservices.

Explanation

The correct answer is: "Edit the tenancy global retention policy." To ensure that container images never get deleted from the Oracle Cloud Infrastructure Registry (OCIR), you should edit the tenancy global retention policy. The tenancy global retention policy is a setting that determines the retention behavior for all the images in the OCIR across the entire tenancy. By editing this policy, you can define the retention behavior that suits your requirements. To edit the tenancy global retention policy, you would typically perform the following steps: Access the Oracle Cloud Infrastructure Console and navigate to the OCIR service. Go to the "Policies" section or "Settings" section in the OCIR service. Locate the tenancy global retention policy settings. Modify the retention policy to specify the desired retention behavior. In this case, you would set the policy to retain all images, ensuring they are never deleted from the repository. By setting the global policy of image retention to "Retain All Images," you can ensure that the container images in your OCIR repository are permanently retained and not subject to deletion based on any default or automatic retention rules. The other options mentioned are not directly related to ensuring that container images are never deleted from the repository: Creating a group and assigning a policy to perform lifecycle operations on images or writing a policy to limit access to the specific repository in your compartment are access control measures and do not address the retention of images. Setting the global policy of image retention to "Retain All Images" is the correct action to achieve the desired outcome of preventing image deletion from the repository.

Explanation

The correct answer is: Invoke from the Docker CLI. Explanation: 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.

Explanation

The correct answer is: "Multiple microservices can run in one process." The statement that is FALSE about microservices is: "Multiple microservices can run in one process." Microservices are designed to be independent and autonomous services that can be deployed, scaled, and managed separately. Each microservice typically runs as its own separate process. This separation allows for loose coupling and independent scalability of individual services. Running multiple microservices in a single process would violate the fundamental principle of microservices architecture, which emphasizes the isolation and independence of services. Combining multiple microservices into a single process would tightly couple them, making it difficult to independently manage, scale, and update each service. The other statements provided are true about microservices: It is fairly common for microservices to communicate with HTTP: Microservices often communicate with each other using lightweight protocols like HTTP/REST. This allows for interoperability, flexibility, and ease of communication between microservices. Microservices are typically designed around business capabilities: Microservices architecture advocates designing services based on specific business capabilities or functionalities. Each microservice focuses on a specific business domain or task, enabling modular and scalable development. They are independently deployable: Microservices are designed to be independently deployable units. This means that each microservice can be developed, tested, deployed, and updated separately without affecting other services. This flexibility allows for faster development cycles and more efficient scalability.

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.

Explanation

Which TWO statements are correct regarding Docker images and containers? (Choose two.) Writing and building a new Dockerfile is the only way you can create new Docker images. A container can exist without an image but an image cannot exist without a container. Only one container can be spawned from a given image at a time. If multiple containers are spawned from the same image, then they all use the same copy of that image in memory. (Correct) An image is a collection of immutable layers whereas a container is a running instance of an image. (Correct) ChatGPT The correct statements regarding Docker images and containers are: If multiple containers are spawned from the same image, then they all use the same copy of that image in memory. This statement is correct. When multiple containers are created from the same Docker image, they share the underlying layers of the image in memory. Each container has its own isolated filesystem and runtime environment, but they all use the same base image, which helps in efficient resource utilization. An image is a collection of immutable layers whereas a container is a running instance of an image. This statement is also correct. Docker images are composed of multiple layers, with each layer representing a specific change or addition to the previous layer. These layers are read-only and can be shared among multiple containers. On the other hand, a container is a lightweight and isolated runtime instance created from a specific image. It is a running process that has its own filesystem, network, and runtime configuration. The statements "Writing and building a new Dockerfile is the only way you can create new Docker images" and "A container can exist without an image but an image cannot exist without a container" are incorrect. Docker images can be created in various ways, including using Dockerfiles, importing from existing images, or pulling from registries. Additionally, a container requires an image to run, so an image must exist before a container can be created from it.

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.

Explanation

The option that will get you more information on the error when invoking Oracle Functions from your Cloud Shell session is: "DEBUG=1 fn invoke myapp myfunction". Setting the environment variable DEBUG=1 before invoking the function using the fn command allows you to enable debug mode, which provides more detailed information about the execution of the function. This can be useful for troubleshooting and understanding the root cause of the error. By using the command "DEBUG=1 fn invoke myapp myfunction", the function invocation will be executed with debug mode enabled, and additional debug information will be displayed in the console output. This information can include stack traces, detailed error messages, and other relevant details that can help identify and resolve the issue. Using the verbose option (--verbose) or debug option (--debug) with the fn command may also provide additional information, but the specific behavior may depend on the version and configuration of the fn CLI tool. While contacting Oracle support with the error message is always an option, enabling debug mode using the DEBUG=1 environment variable provides immediate access to more detailed information and can help in diagnosing and resolving the error more efficiently.

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.

Explanation

The correct answer is "Service Mesh." A service mesh is a configurable, low-latency infrastructure layer that controls the interaction between a network of microservices. It provides functionalities such as service discovery, load balancing, traffic management, security, and observability for microservices-based applications. It is designed to improve communication and manage the complex interactions between services within a distributed system. Service mesh frameworks like Istio and Linkerd are commonly used to implement service mesh architecture.