1z0-1084-24 Certification – Valid Exam Dumps Questions Study Guide! (Updated 101 Questions)
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NEW QUESTION # 14
Which TWO statements are true for serverless computing and serverless architectures? (Choose two.)
- A. Long running tasks are perfectly suited for serverless.
- B. Application DevOps team is responsible for scaling.
- C. Applications running on a FaaS (Functions as a Service) platform.
- D. Serverless function state should never be stored externally.
- E. Serverless function execution is fully managed by third party.
Answer: C,E
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 # 15
A developer using Oracle Cloud Infrastructure (OCI) API Gateway needs to authenticate the API requests to their web application. The authentication process must be implemented using a custom scheme which accepts string-based parameters from the API caller. Which approach should the developer use in this scenario?
- A. Create an authorizer function using token-based authorization.
- B. Create an authorizer function using request header authorization.
- C. Create an authorizer function using OCI Identity and Access Management 91AM) based authentication.
- D. Create a cross account functions authorizer.
Answer: A
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.
NEW QUESTION # 16
Which concept in OCI Queue is responsible for hiding a message from other consumers for a predefined amount of time after it has been delivered to a consumer?
- A. Delivery count
- B. Visibility timeout
- C. Maximum retention period
- D. Polling timeout
Answer: B
Explanation:
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
NEW QUESTION # 17
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. Deploy Wireshark and intercept the packets.
- C. Use the OCI Logging service and enable VCN flow logs.
- D. Rewrite the application and send the application logs to an outside log aggregator.
Answer: C
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 # 18
What are the TWO main reasons you would choose to implement a serverless architecture? (Choose two.)
- A. Easier to run long-running operations
- B. Improved in-function state management
- C. Automatic horizontal scaling
- D. Reduced operational cost
- E. No need for integration testing
Answer: C,D
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 # 19
In the shared responsibility model, who should perform patching, upgrading, and maintaining of the worker nodes in provisioned Oracle Container Engine for Kubernetes (OKE) clusters?
- A. It is the responsibility of the customer.
- B. Oracle Support does it.
- C. It is an automated process.
Answer: A
Explanation:
In the shared responsibility model, Oracle is responsible for securing the underlying cloud infrastructure and platform services, while customers are responsible for securing their data and applications within the cloud4. For provisioned OKE clusters, Oracle manages the control plane (master nodes) of the Kubernetes cluster, while customers manage the data plane (worker nodes) of the cluster5. Therefore, it is the responsibility of the customer to perform patching, upgrading, and maintaining of the worker nodes in provisioned OKE clusters5. Customers can use tools such as Terraform or kubectl to automate these tasks5.
NEW QUESTION # 20
Which of the following step is NOT required for setting up the Container Engine for Kubernetes (OKE) cluster access using a local installation of kubectl?
- A. Install and configure the Oracle Cloud Infrastructure (OCI) CLI.
- B. Set up the kubeconfig file.
- C. Generate an API signing key pair (if you do not already have one) and upload the public key of the API signing key pair.
- D. Generate Auth token from the OCI console to access the OKE cluster using kubectl.
Answer: D
Explanation:
The step that is NOT required for setting up the Container Engine for Kubernetes (OKE) cluster access using a local installation of kubectl is to generate an Auth token from the OCI console. The authentication for accessing the OKE cluster using kubectl can be performed using the OCI CLI configuration, specifically the API signing key pair and the kubeconfig file. Here are the correct steps for setting up the OKE cluster access using a local installation of kubectl: Set up the kubeconfig file: The kubeconfig file contains the necessary information to authenticate and access the OKE cluster using kubectl. It includes details such as the cluster endpoint, authentication method, and credentials. Generate an API signing key pair (if you do not already have one) and upload the public key of the API signing key pair: The API signing key pair is used for authentication with the OCI services. The public key of the key pair needs to be uploaded to the OCI Console to associate it with your user account. Install and configure the Oracle Cloud Infrastructure (OCI) CLI: The OCI CLI provides a command-line interface to interact with the OCI services. It needs to be installed and configured with your OCI credentials, including the user's OCID, tenancy OCID, region, and the path to the API signing key pair. By completing these steps, you can configure kubectl to access and manage your OKE clusters from your local machine using the OCI CLI authentication configuration.
NEW QUESTION # 21
Which TWO statements are correct regarding Docker images and containers? (Choose two.)
- A. An image is a collection of immutable layers whereas a container is a running instance of an image.
- B. Writing and building a new Dockerfile is the only way you can create new Docker images.
- C. Only one container can be spawned from a given image at a time.
- D. A container can exist without an image but an image cannot exist without a container.
- E. If multiple containers are spawned from the same image, then they all use the same copy of that image in memory.
Answer: A,E
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.
NEW QUESTION # 22
Which testing measure should be considered when using test cases that simultaneously validate a deployment and perform a selected set of functional tasks?
- A. Resiliency
- B. Robust Deployment
- C. Resource Utilization
- D. Functionality
- E. Scalability
Answer: B
Explanation:
The correct answer is: "Robust Deployment." When using test cases that simultaneously validate a deployment and perform a selected set of functional tasks, the testing measure that should be considered is
"Robust Deployment." Robust Deployment refers to the ability of an application or system to be deployed reliably and consistently, without errors or failures. It involves ensuring that the deployment process is well- defined, automated, and able to handle different scenarios and configurations. When conducting testing that combines the validation of deployment and functional tasks, it is crucial to ensure that the deployment itself is robust. This means verifying that the application or system can be successfully deployed and configured without encountering deployment-related issues such as incorrect configurations, missing dependencies, or compatibility problems. By considering "Robust Deployment" as a testing measure, you can evaluate the reliability and effectiveness of the deployment process, ensuring that the application or system is deployed correctly and ready to perform the selected set of functional tasks.
NEW QUESTION # 23
What is the maximum execution time of Oracle Functions?
- A. 120 seconds
- B. 240 seconds
- C. 300 seconds
- D. 60 seconds
Answer: C
Explanation:
The maximum execution time of Oracle Functions is 300 seconds, which is equivalent to 5 minutes. This means that a function running within Oracle Functions cannot exceed a runtime of 5 minutes. If a function requires longer execution times, alternative approaches such as invoking external services asynchronously or using long-running processes should be considered. It is important to design functions with this execution time limitation in mind to ensure optimal performance and efficiency within the Oracle Functions platform.
NEW QUESTION # 24
How are cloud native application versions deployed to an OKE cluster when using a blue/green deployment strategy?
- A. Current applications are slowly replaced with new application versions.
- B. Both old and new application versions are deployed to production at the same time.
- C. New application versions are deployed in minor increments to a select group of people.
Answer: B
Explanation:
Blue/Green deployment strategy allows releasing a new version of an application using two identical environments where one of them is active at a given time. The current version of the application is provisioned on the active environment, whereas the new version gets deployed to the standby environment1. The traffic is shifted from the active to the standby environment by updating the ingress resource2. Therefore, both old and new application versions are deployed to production at the same time, but only one of them receives the traffic. Verified References: Announcing new deployment strategies for OCI DevOps Service, Blue-Green OKE Deployment
NEW QUESTION # 25
Which kubectl command syntax is valid for implementing a rolling update deployment strategy in Kubernetes? (Choose the best answer.)
- A. kubectl rolling-update <deployment-name> --image=image:v2
- B. kubectl update <deployment-name> --image=image:v2
- C. kubectl upgrade -c <container> --image=image:v2
- D. kubectl update -c <container> --iniage=image: v2
Answer: A
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 # 26
(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: API Gateway * Target:
Notifications - B. Configure a new service connector as follows: * Source: Streaming * Task: Functions * Target: API Gateway
- C. Configure a new service connector as follows: * Source: Streaming * Task: None * Target: Notifications
- D. Configure a new service connector as follows: * Source: Streaming * Task: Functions * Target:
Functions - E. Configure a new service connector as follows: * Source: Streaming * Task: API Gateway * Target:
Functions
Answer: C
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 # 27
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. Use a third party service integration to Implement DDoS attack mitigation.
- B. Use the OCI API Gateway service and configure rate limiting.
- C. Re-write your web service and implement rate limiting.
- D. Use the OCI Virtual Cloud Network (VCN) segregation to control DDoS.
Answer: B
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 # 28
As a cloud-native developer, you are designing an application that depends on Oracle Cloud Infrastructure (OCI) Object Storage wherever the application is running. Therefore, provisioning of storage buckets should be part of your Kubernetes deployment process for the application. Which of the following should you leverage to meet this requirement? (Choose the best answer.)
- A. Oracle Functions
- B. OCI Service Broker for Kubernetes
- C. Open Service Broker API
- D. OCI Container Engine for Kubernetes
Answer: B
Explanation:
To provision storage buckets as part of your Kubernetes deployment process for an application that depends on Oracle Cloud Infrastructure (OCI) Object Storage, you should leverage the OCI Service Broker for Kubernetes. OCI Service Broker for Kubernetes enables you to provision and manage OCI resources, including Object Storage buckets, directly from Kubernetes. It provides a Kubernetes-native experience for managing OCI services, allowing you to define and manage OCI resources as part of your application deployment process. By using the OCI Service Broker for Kubernetes, you can define the required Object Storage buckets in your Kubernetes manifests, and the service broker will handle the provisioning and management of those buckets in OCI, ensuring that they are available for your application wherever it is running.
NEW QUESTION # 29
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 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.
- B. 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.
- C. 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.
- D. 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.
Answer: D
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 # 30
Which of the following is defined as a configurable, low-latency infrastructure layer that controls the interaction between a network of microservices? (Choose the best answer.)
- A. CI/CD Pipelines
- B. Kubernetes
- C. Service Mesh
- D. Containers
- E. DevOps
Answer: C
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.
NEW QUESTION # 31
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. Docker
- C. Big Data
- D. Service Mesh
- E. Terraform
- F. Anomaly Detection
Answer: A,B,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 # 32
What is the difference between continuous delivery and continuous deployment in the DevOps methodology?
(Choose the best answer.)
- A. Continuous delivery utilizes automatic deployment to a development environment, whereas continuous deployment involves automatic deployment to a production environment.
- B. Continuous delivery involves automation of developer tasks, whereas continuous deployment involves manual operational tasks.
- C. Continuous delivery is a process that Initiates deployment manually, whereas continuous deployment is based on automating the deployment process.
- D. Continuous delivery requires automatic linting, whereas continuous deployment testing must be run manually.
Answer: A
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 utilizes automatic deployment to a development environment, while continuous deployment involves automatic deployment to a production environment. In continuous delivery, the software is automatically deployed to a development or staging environment for further testing and validation. However, the actual deployment to the production environment is performed manually. In continuous deployment, the software is automatically deployed to the production environment, eliminating the need for manual intervention in the deployment process. These differences highlight the level of automation and human involvement in the deployment process between continuous delivery and continuous deployment approaches in the DevOps lifecycle.
NEW QUESTION # 33
You are instructed to automate manual tasks and help software teams manage complex environments at scale using the Oracle Cloud Infrastructure (OCI) services. Which THREE OCI services can be leveraged to securely store and version your application's source code, and automate the building, testing, and deployment of applications to the OCI platform? (Choose three.)
- A. Oracle APEX Application Development
- B. Resource Manager
- C. DevOps
- D. Container Engine for Kubernetes
- E. Oracle Cloud Logging Analytics
- F. Oracle Cloud Infrastructure Registry
Answer: C,D,F
Explanation:
The three OCI services that can be leveraged to securely store and version your application's source code, and automate the building, testing, and deployment of applications to the OCI platform are: DevOps: OCI provides a comprehensive set of DevOps services, including Oracle Developer Cloud Service, which allows you to manage source code repositories, automate builds and testing, and streamline the deployment process.
Container Engine for Kubernetes: OCI's Container Engine for Kubernetes (OKE) enables you to deploy and manage containerized applications using Kubernetes. It provides a scalable and reliable platform for automating the deployment of your applications. Oracle Cloud Infrastructure Registry: OCI Registry is a fully managed, private container registry that allows you to securely store and manage Docker images. It integrates with other OCI services, such as Container Engine for Kubernetes, to facilitate seamless deployment and orchestration of containerized applications. These services combined provide the necessary tools and infrastructure to support continuous integration and continuous deployment (CI/CD) workflows, enabling efficient and automated application development and deployment processes in the Oracle Cloud Infrastructure environment.
NEW QUESTION # 34
You have created a repository in Oracle Cloud Infrastructure Registry (OCIR) in the us-ashburn-1 (iad) region in your tenancy with the heyoci namespace. Which three are valid tags for an image named myapp? (Choose three.)
- A. iad.ccir.io/heyoci/myapp:latest
- B. us-ashburn-1.ocir.io/heyoci/myproject/myapp:0.0.2-beta
- C. iad.ocir.io/heyoci/myapp:0.0.2-beta
- D. us-ashburn-1.ocir.io/myproject/heyoci/myapp:latest
- E. us-ashburn-1.ocir.io/heyoci/myapp:0.0.2-beta
- F. iad.ocir.io/heyoci/myproject/myapp:0.0.1
Answer: A,B,F
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
<region>.ocir.io/<namespace>/<repository>:<tag>.
NEW QUESTION # 35
You have just finished building and compiling the software required to implement the API microservice component. You need to rebuild the API docker image, and plan to tag it as: ocIdevops/api:latest Which docker command would re-create the API docker image?
- A. docker create -t OCIdevops/api:latest
- B. docker image -t OCIdevops/api:latest
- C. docker build -t OCIdevops/api:latest
- D. docker compile -t OCI devops/api:latest
Answer: C
Explanation:
The correct command to rebuild the API docker image and tag it as OCIdevops/api:latest is: docker build -t OCIdevops/api:latest The docker build command is used to build a Docker image from a Dockerfile. The -t flag is used to specify the name and optionally a tag for the image. In this case, the name of the image is OCIdevops/api and the tag is latest. By running this command, the Docker image will be recreated based on the instructions in the Dockerfile and tagged with the specified name and tag.
NEW QUESTION # 36
Which testing strategy achieves high velocity of deployments and releases of cloud native applications?
(Choose the best answer.)
- A. Integration testing
- B. Penetration testing
- C. Automated testing
- D. A/B testing
Answer: C
Explanation:
The testing strategy that achieves high velocity of deployments and releases of cloud native applications is
"Automated testing." Automated testing involves the use of automated tools and frameworks to execute tests, validate functionality, and detect issues or bugs in an application. By automating the testing process, developers and DevOps teams can rapidly test and validate code changes, ensuring that new features and updates are functioning correctly before being deployed to production. This approach helps increase the speed and efficiency of the testing process, allowing for faster and more frequent deployments of cloud native applications.
NEW QUESTION # 37
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Oracle 1z0-1084-24 Exam Practice Test Questions: https://www.topexamcollection.com/1z0-1084-24-vce-collection.html
1z0-1084-24 Dumps 2024 - New Oracle 1z0-1084-24 Exam Questions: https://drive.google.com/open?id=1cxTT83XqK_LZSGi2mbdC05SttxuCe68Q
