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NEW QUESTION # 25
Which statement best describes the term "cloud native"?
- A. Cloud native refers to the use of cloud infrastructure to run traditional on-premises applications.
- B. Cloud native refers to the design and deployment of applications that are optimized for cloud infrastructure.
- C. Cloud native refers to the process of migrating applications from on-premises infrastructure to the cloud.
- D. Cloud native refers to the use of cloud-based development tools to build traditional on-premises applications.
Answer: B
Explanation:
Explanation
Cloud native is the software approach of building, deploying, and managing modern applications in cloud computing environments3. Cloud native apps are designed and built to exploit the scale, elasticity, resiliency, and flexibility the cloud provides4. Cloud native technologies support fast and frequent changes to applications without impacting service delivery, providing adopters with an innovative, competitive advantage3. Therefore, cloud native refers to the design and deployment of applications that are optimized for cloud infrastructure. Verified References: What is Cloud Native? - Everything you need to know, What is Cloud Native?| Microsoft Learn
NEW QUESTION # 26
As a Cloud Native developer, you develop two services in Node.js and deploy them to two different Container Engine for Kubernetes (OKE) clusters that use the same Virtual Cloud Network (VCN). Your security team wants to analyze the network communication between them. How can this requirement be met in the most cost-effective way?
- A. Deploy a third-party logging service and aggregate the network flow logs.
- B. Rewrite the application and send the application logs to an outside log aggregator.
- C. Use the OCI Logging service and enable VCN flow logs.
- D. Deploy Wireshark and intercept the packets.
Answer: C
Explanation:
Explanation
The best answer is: "Use the OCI Logging service and enable VCN flow logs." To meet the requirement of analyzing network communication between two services deployed in different Container Engine for Kubernetes (OKE) clusters within the same Virtual Cloud Network (VCN) in a cost-effective way, you can use the OCI Logging service and enable VCN flow logs. The VCN flow logs feature in OCI allows you to capture and log network traffic information for your VCN resources. By enabling VCN flow logs, you can monitor and analyze the network communication between your services without the need for additional third-party logging services or tools. Enabling VCN flow logs provides visibility into the network traffic, including source and destination IP addresses, ports, protocols, and other relevant details. This information can be collected and stored in the OCI Logging service, where you can analyze and gain insights into the network communication patterns between your services. By leveraging the built-in capabilities of the OCI Logging service and enabling VCN flow logs, you can fulfill the security team's requirement for network communication analysis in a cost-effective manner. This eliminates the need for deploying additional third-party logging services or tools, reducing complexity and potential costs associated with their setup and maintenance. The other options mentioned are not the most cost-effective or suitable solutions for analyzing network communication in this scenario: Deploying a third-party logging service and aggregating the network flow logs would introduce additional costs and complexity, which may not be necessary considering the built-in capabilities provided by OCI. Rewriting the application to send logs to an outside log aggregator would not directly address the requirement of analyzing network communication between the services. It would focus more on application-level logs rather than network-level analysis. Deploying Wireshark and intercepting packets would require additional infrastructure setup and maintenance, which may not be the most cost-effective approach for network analysis in this scenario.
NEW QUESTION # 27
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 the APIs in private environments.
- B. There is no need to explicitly test APIs.
- C. Test against production APIs.
- D. Test using API mocks.
Answer: D
Explanation:
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 # 28
Which is the smalled unit of Kubernetes architecture?
- A. Container
- B. Node
- C. Cluster
- D. Pod
Answer: D
Explanation:
Explanation
The smallest unit of Kubernetes architecture is a Pod. A Pod is a logical grouping of one or more containers that are deployed together on the same host and share the same network namespace, storage, and other resources. It represents the smallest deployable unit in Kubernetes and is used to encapsulate and manage one or more closely related containers. Containers within a Pod are scheduled and deployed together, allowing them to communicate and share resources efficiently.
NEW QUESTION # 29
Which TWO are characteristics of microservices? (Choose two.)
- A. Microservices communicate over lightweight APIs.
- B. All microservices share a data store.
- C. Microservices can be independently deployed.
- D. Microservices can be implemented in limited number of programming languages.
- E. Microservices are hard to test in isolation.
Answer: A,C
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 # 30
Which of the following is NOT a criterion that is usually met by a microservice?
- A. Organized around business capabilities.
- B. Highly maintainable
- C. Independently deployable
- D. Tightly coupled
Answer: D
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.
NEW QUESTION # 31
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. Container
- B. Namespace
- C. Deployment resource
- D. Pod
- E. Service
Answer: D
Explanation:
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 # 32
Which term describes a group formed by a master machine and a worker machine in a Kubernetes architecture?
- A. Container
- B. Node
- C. Cluster
- D. Deployment
- E. Pod
Answer: C
Explanation:
Explanation
The term that describes a group formed by a master machine and a worker machine in a Kubernetes architecture is "Cluster". A cluster in Kubernetes consists of one or more master machines and multiple worker machines (also known as nodes). The master machine manages the overall control plane and orchestrates the deployment and management of containers on the worker nodes. The worker nodes are responsible for running the containers and executing the workloads. The cluster is the fundamental unit of organization and management in Kubernetes, providing the infrastructure and resources to run and manage containerized applications. It ensures high availability, scalability, and fault tolerance for the applications deployed within it.
NEW QUESTION # 33
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. Length of time a function runs
- B. Number of times a function is invoked
- C. Number of times a function Is removed
- D. Amount of RAM used by a function
- E. Amount of CPU used by a function
Answer: D,E
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 # 34
You are developing a polyglot serverless application using Oracle Functions. Which language cannot be used to write your function code?
- A. PL/SQL
- B. Go
- C. Node.js
- D. Java
- E. Python
Answer: A
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 # 35
Which of these is NOT a valid authentication method for accessing an OCI API Gateway deployment?
- A. OAuth
- B. API Key
- C. HTTP Basic
- D. SAML Token
Answer: D
Explanation:
Explanation
OCI API Gateway supports the following authentication methods for accessing an API deployment3:
* HTTP Basic: The client sends a username and password with each request. The credentials are validated against a user database in Oracle Identity Cloud Service (IDCS).
* API Key: The client sends an API key with each request. The API key is validated against a list of keys stored in IDCS or OCI Vault.
* OAuth: The client obtains an access token from an authorization server (such as IDCS) and sends it with each request. The access token is validated against the authorization server and optionally checked for required scopes.
* JWT Token: The client obtains a JSON Web Token (JWT) from an identity provider (such as IDCS or OCI IAM) and sends it with each request. The JWT is validated against the identity provider's public key and optionally checked for required claims. SAML Token is not a valid authentication method for accessing an OCI API Gateway deployment. SAML is an XML-based standard for exchanging
* authentication and authorization data between different parties, such as a service provider and an identity provider4. SAML tokens are typically used for web browser single sign-on (SSO) scenarios, not for API access4.
NEW QUESTION # 36
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. idle-timeout
- C. None, as this time is not configurable.
- D. access-timeout
Answer: B
Explanation:
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 # 37
Which TWO statements are true for serverless computing and serverless architectures? (Choose two.)
- A. Serverless function state should never be stored externally.
- B. Applications running on a FaaS (Functions as a Service) platform.
- C. Serverless function execution is fully managed by third party.
- D. Long running tasks are perfectly suited for serverless.
- E. Application DevOps team is responsible for scaling.
Answer: B,C
Explanation:
The two true statements for serverless computing and serverless architectures are: Applications running on a FaaS (Functions as a Service) platform: Serverless architectures typically involve running code in the form of functions on a serverless platform. These functions are event-driven and executed in response to specific triggers or events. Serverless function execution is fully managed by a third party: In serverless computing, the cloud provider takes care of the infrastructure management and resource provisioning. The execution of serverless functions is handled automatically by the platform, relieving developers from the responsibility of managing servers or infrastructure. It's important to note that long running tasks are not typically suited for serverless architectures due to the event-driven nature of serverless functions. Also, while serverless functions may have state, it is recommended to avoid external storage dependencies and instead leverage stateless functions whenever possible. Additionally, scaling in serverless architectures is typically handled automatically by the platform, rather than being the responsibility of the application DevOps team.
NEW QUESTION # 38
You developed a microservices-based application that runs in an Oracle Cloud Infrastructure (OCI) Container Engine for Kubernetes (OKE) cluster. It has multiple endpoints that need to be exposed to the public internet.
What is the most cost-effective way to expose multiple application endpoints without adding unnecessary complexity to the application?
- A. Use a NodePort service type in Kubernetes for each of your service endpoints using the node's public IP address to access the applications.
- B. Create a separate load balancer instance for each service using the lowest 100 Mbps option.
- C. Use a ClusterIP service type in Kubernetes for each of your service endpoints using a load balancer to expose the endpoints.
- D. Deploy an Ingress Controller and use it to expose each endpoint with its own routing endpoint.
Answer: D
Explanation:
Explanation
An Ingress Controller is a Kubernetes resource that provides advanced routing and load balancing for your applications running on a Kubernetes cluster1. An Ingress Controller allows you to define rules that specify how to route traffic to different services in your cluster based on the host name or path of the incoming request1. By deploying an Ingress Controller and using it to expose multiple application endpoints, you can achieve the following benefits1:
* Cost-effectiveness: You only need to create one load balancer instance per cluster, instead of one per service, which reduces the cost of exposing your applications.
* Simplicity: You only need to manage one set of routing rules for all your services, instead of configuring each service separately, which simplifies the application deployment and maintenance.
* Flexibility: You can use different types of Ingress Controllers, such as NGINX or Traefik, that offer various features and customization options for your routing needs.
NEW QUESTION # 39
You are using Oracle Cloud Infrastructure (OCI) Resource Manager to manage your infrastructure lifecycle and wish to receive an email each time a Terraform action begins. How should you use the OCI Events service to do this without writing any code?
- A. Create a rule in OCI Events service matching the "Resource Manager Stack - Update" condition. Then select "Action Type: Email" and provide the destination email address.
- B. Create an OCI Notifications topic and email subscription with the destination email address. Then create an OCI Events rule matching "Resource Manager Stack - Update" condition, and select the notification topic for the corresponding action.
- C. Create an OCI Notification topic and email subscription with the destination email address. Then create an OCI Events rule matching "Resource Manager Job - Create" condition, and select the notification topic for the corresponding action.
- D. Create an OCI Email Delivery configuration with the destination email address. Then create an OCI Events rule matching "Resource Manager Job - Create" condition, and select the email configuration for the corresponding action.
Answer: C
Explanation:
Explanation
The correct approach to receive an email each time a Terraform action begins in Oracle Cloud Infrastructure (OCI) Resource Manager without writing any code is as follows: Create an OCI Notification topic and email subscription with the destination email address. This will define the email delivery configuration. Create an OCI Events rule that matches the "Resource Manager Job - Create" condition. This rule will be triggered when a Resource Manager job is created. In the OCI Events rule, select the notification topic that was created in step
1 as the action for the corresponding event. This will ensure that the notification is sent to the specified email address. By following these steps, you can configure the OCI Events service to send an email notification whenever a Resource Manager job is created in OCI Resource Manager.
NEW QUESTION # 40
You are building a container image and pushing it to Oracle Cloud Infrastructure Registry (OCIR). You need to ensure that these images never get deleted from the repository. Which action should you take?
- A. Set global policy of image retention to "Retain All Images".
- B. Edit the tenancy global retention policy.
- C. Write a policy to limit access to the specific repository in your compartment.
- D. Create a group and assign a policy to perform lifecycle operations on images.
Answer: B
Explanation:
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 OCIRrepository 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.
NEW QUESTION # 41
Which statement accurately describes the Oracle Cloud Infrastructure (OCI) Load Balancer integration with OCI Container Engine for Kubernetes (OKE)?
- A. OCI Load Balancer instance must be manually provisioned for each Kubernetes service that requires traffic balancing.
- B. OKE service provisions a single OCI Load Balancer instance shared with all the Kubernetes services with LoadBalancer type in the YAML configuration.
- C. OKE service provisions an OCI Load Balancer instance for each Kubernetes service with LoadBalancer type in the YAML configuration.
- D. OCI Load Balancer instance provisioning is triggered by the OCI Events service for each Kubernetes service with LoadBalancer type in the YAML configuration.
Answer: C
Explanation:
Explanation
The statement that accurately describes the Oracle Cloud Infrastructure (OCI) Load Balancer integration with OCI Container Engine for Kubernetes (OKE) is: "OKE service provisions an OCI Load Balancer instance for each Kubernetes service with LoadBalancer type in the YAML configuration." When you define a Kubernetes service in your YAML configuration with the LoadBalancer type, the OKE service automatically provisions an OCI Load Balancer instance specifically for that service. This Load Balancer instance is dedicated to the Kubernetes service and provides traffic balancing functionality. Each Kubernetes service that requires load balancing will have its own OCI Load Balancer instance provisioned by OKE.
NEW QUESTION # 42
What are the TWO main reasons you would choose to implement a serverless architecture? (Choose two.)
- A. Reduced operational cost
- B. Improved in-function state management
- C. Automatic horizontal scaling
- D. Easier to run long-running operations
- E. No need for integration testing
Answer: A,C
Explanation:
Explanation
The two main reasons to choose a serverless architecture are: Automatic horizontal scaling: Serverless architectures allow for automatic scaling of resources based on demand. The infrastructure automatically provisions and scales resources as needed, ensuring that applications can handle varying workloads efficiently.
This eliminates the need for manual scaling and optimizes resource utilization. Reduced operational cost:
Serverless architectures follow a pay-per-use model, where you are billed only for the actual execution time and resources consumed by your functions. This leads to cost savings as you don't have to pay for idle resources. Additionally, serverless architectures remove the need for managing and maintaining servers, reducing operational overhead and associated costs.Explanation: No need for integration testing: Integration testing is still necessary in serverless architectures to ensure that functions integrate correctly with other components and services. Serverless functions can interact with various event sources, databases, and APIs, and testing is required to verify the integration points. Improved in-function state management: Serverless architectures typically encourage stateless functions that operate on short-lived requests or events. While there are mechanisms to manage state within a function, serverless architectures are designed to be stateless by default, promoting scalability and fault tolerance. Easier to run long-running operations: Serverless functions are generally designed for short-lived operations rather than long-running tasks. If you have a requirement for long-running operations, a serverless architecture may not be the ideal choice, as it has execution time limits and may not provide the necessary resources for extended execution.
NEW QUESTION # 43
Which of these is a valid use case for OCI Queue?
- A. Managing network traffic between services
- B. Storing and retrieving large files
- C. Sending real-time streaming data
- D. Building decoupled and scalable systems
Answer: D
Explanation:
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 # 44
As a Cloud Native developer, you have written a web service for your company. However, your security team has suggested that your web service should address Distributed Denial-of-Service (DDoS) attack. You are time-constrained and you need to ensure that this is implemented as soon as possible. What should you do in this scenario? (Choose the best answer.)
- A. Re-write your web service and implement rate limiting.
- B. Use the OCI Virtual Cloud Network (VCN) segregation to control DDoS.
- C. Use the OCI API Gateway service and configure rate limiting.
- D. Use a third party service integration to Implement DDoS attack mitigation.
Answer: C
Explanation:
The correct answer in this scenario is to use the OCI API Gateway service and configure rate limiting. Using the OCI API Gateway service and configuring rate limiting is an effective approach to address Distributed Denial-of-Service (DDoS) attacks. By implementing rate limiting, you can control the number of requests that can be made to your web service within a specific time frame. This helps to prevent overload and ensures that your service can handle legitimate traffic while mitigating the impact of DDoS attacks. By leveraging the OCI API Gateway service, you can easily configure rate limiting rules to restrict the number of requests per second or per minute. This allows you to set appropriate thresholds and safeguard your web service from being overwhelmed by excessive requests. The API Gateway acts as a protective layer, filtering out malicious traffic and ensuring the smooth operation of your service. While options like OCI Virtual Cloud Network (VCN) segregation and third-party service integrations may contribute to overall security, they do not specifically address DDoS attacks as efficiently as rate limiting. VCN segregation focuses more on network segmentation and isolation, while third-party service integration may introduce additional dependencies and complexities. Re-writing your web service and implementing rate limiting is a viable option, but it may not be feasible considering the time constraints mentioned. Leveraging the OCI API Gateway service provides a quicker and easier solution to implement DDoS attack mitigation through rate limiting.
NEW QUESTION # 45
You plan to implement logging in your services that will run in Oracle Cloud Infrastructure (OCI) Container Engine for Kubernetes (OKE). Which statement describes the appropriate logging approach?
- A. All services log to an external logging system.
- B. All services log to standard output only.
- C. All serviceAAs log to a shared log file.
- D. Each service logs to its own log file.
Answer: B
Explanation:
Explanation
The appropriate logging approach for services running in Oracle Cloud Infrastructure (OCI) Container Engine for Kubernetes (OKE) is: "All services log to standard output only." When running services in a containerized environment like OKE, it is recommended to follow the Twelve-Factor App methodology, which suggests treating logs as event streams. According to this methodology, services should write their log events to standard output (stdout) instead of writing to log files. By logging to standard output, the container runtime (such as Kubernetes) can collect and aggregate the logs generated by the services. These logs can then be accessed and managed through the container runtime's logging infrastructure. Logging to standard output offers several advantages in a containerized environment: Simplicity and consistency: Standardizing on logging to stdout ensures a consistent approach across different services, making it easier to manage and analyze logs. Log aggregation: The container runtime can collect the logs from all the running containers and provide centralized log management, allowing you to access and search logs from different services in one place. Scalability: Since logs are written to stdout, they can be easily handled by the container runtime's log management system, which can scale to handle large volumes of log data. Separation of concerns: By logging to stdout, the responsibility of managing log files and their rotation is shifted to the container runtime, allowing the services to focus on their core functionality. While it is possible to log to log files or external logging systems, the recommended approach in a containerized environment like OKE is to log to standard output and leverage the logging infrastructure provided by the container runtime.
NEW QUESTION # 46
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. Trace performance issues In the Application Performance Monitoring service by enabling Function traces.
- C. Configure the application to send logs to the OCI Logging service.
- D. View service metric information from the OCI Monitoring service.
- E. Use OCI Service Connector Hub to configure a service connector to automatically send logs to the OCI Logging Analytics service.
Answer: B
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 # 47
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 docker-compose.yml
- B. Executing docker commit
- C. Updating Dockerfile
- D. Executing docker save
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 # 48
Which TWO are part of the Cloud Native Computing Foundation (CNCF) container runtime? (Choose two.)
- A. rkt-o
- B. containerd
- C. runc
- D. getcd
Answer: B,C
Explanation:
Explanation
The two components that are part of the Cloud Native Computing Foundation (CNCF) container runtime are:
containerd: containerd is an open-source container runtime that provides a runtime environment for containers, including managing container images, executing containers, and handling container lifecycle events. It is designed to be lightweight and extensible, providing the necessary functionality to run containers efficiently.
runc: runc is a lightweight container runtime that serves as a reference implementation of the Open Container Initiative (OCI) runtime specification. It is responsible for launching and managing containers based on OCI specifications, including handling container isolation, namespaces, cgroups, and other low-level container operations. These two components, containerd and runc, are widely used in the container ecosystem and are part of the CNCF's efforts to promote and develop open-source technologies for cloud-native computing.
NEW QUESTION # 49
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