1z0-1084-24 PDF Dumps Real 2024 Recently Updated Questions
Released Oracle 1z0-1084-24 Updated Questions PDF
NEW QUESTION # 51
You are creating an API deployment in Oracle Cloud Infrastructure (OCI) API Gateway and you want to configure request policies to control access. Which is NOT available in OCI API Gateway?
- A. Providing authentication and authorization.
- B. Enabling Cross-Origin Resource Sharing (CORS) support.
- C. Limiting the number of requests sent to the backend services.
- D. Controlling access to the backend OCI resources.
Answer: D
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.
NEW QUESTION # 52
You are tasked with developing an application that requires the use of Oracle Cloud Infrastructure (OCI) APIs to POST messages to a stream in the OCI Streaming service. Which statement is incorrect? (Choose the best answer.)
- A. The Content-Type header must be set to application/json
- B. An HTTP 401 will be returned if the client's clock is skewed more than 5 minutes from the server's.
- C. The request must include an authorization signing string including (but not limited to) x-content- sha256, content-type, and content-length headers.
- D. The request does not require an Authorization header.
Answer: D
Explanation:
The statement that is incorrect is: "The request does not require an Authorization header." In order to POST messages to a stream in the OCI Streaming service using OCI APIs, the request does require an Authorization header. The Authorization header is used to provide authentication and ensure the request is authorized to access the stream. The correct approach is to include the Authorization header in the request, along with other required headers such as x-content-sha256, content-type, and content-length. Therefore, the incorrect statement is that the request does not require an Authorization header.\
NEW QUESTION # 53
Which kubectl command syntax is valid for implementing a rolling update deployment strategy in Kubernetes? (Choose the best answer.)
- A. kubectl update -c <container> --iniage=image: v2
- B. kubectl rolling-update <deployment-name> --image=image:v2
- C. kubectl update <deployment-name> --image=image:v2
- D. kubectl upgrade -c <container> --image=image:v2
Answer: B
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 # 54
Which command is used to get a Docker image from Oracle Cloud Infrastructure Registry (OCIR) to the client machine?
- A. docker fetch <region-key>.ocir.io/<tenancy-namespace>/<repo-name>:<tag>
- B. docker pull <region-key>.ocir.io/<tenancy-namespace>/<repo-name>: <tag>
- C. docker pull <tenancy-namespace>/<region-key>.ocir.io/<repo-name>: <tag>
- D. docker fetch <tenancy-namespace>/<region-key>.ocir.io/<repo-name>:<tag>
Answer: B
Explanation:
To pull a Docker image from OCI Registry to the client machine, you need to use the docker pull command with the following syntax1: docker pull <region-key>.ocir.io/<tenancy-namespace>/<repo-name>:<tag> where:
* <region-key> is the key for the OCI Registry region you're using. For example, iad. See Availability by Region1.
* ocir.io is the OCI Registry name.
* <tenancy-namespace> is the auto-generated Object Storage namespace string of the tenancy that owns the repository from which you want to pull the image (as shown on the Tenancy Information page)1.
* <repo-name> is the name of the repository that contains the image you want to pull.
* <tag> is the tag of the image you want to pull.
NEW QUESTION # 55
You are developing a serverless application with Oracle Functions and Oracle Cloud Infrastructure Object Storage. Your function needs to read a JSON file object from an Object Storage bucket named "input-bucket" in compartment "qa-compartment". Your corporate security standards mandate the use of Resource Principals for this use case. Which two statements are needed to implement this use case? (Choose two.)
- A. Set up the following dynamic group for your function's OCID: Name: read-file-dg Rule: resource.id =
"ocid1.fnfunc.oc1.phx.aaaaaaaakeaobctakezjz5i4ujj7g25q7sx5m vr55pms6f4da' - B. No policies are needed. By default, every function has read access to Object Storage buckets in the tenancy.
- C. Set up a policy to grant your user account read access to the bucket: allow user XYZ to read objects in compartment qa-compartment where target.bucket.name= "input-bucket'
- D. Set up a policy to grant all functions read access to the bucket: allow all functions in compartment qa- compartment to read objects in target.bucket.name= "input-bucket'
- E. Set up a policy with the following statement to grant read access to the bucket: allow dynamic-group read-file-dg to read objects in compartment qa- compartment where target.bucket.name= 'input-bucket'
Answer: A,E
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.
NEW QUESTION # 56
Which of these is NOT a valid authentication method for accessing an OCI API Gateway deployment?
- A. API Key
- B. SAML Token
- C. OAuth
- D. HTTP Basic
Answer: B
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 # 57
A DevOps engineer is troubleshooting the Meshifyd application, which is running in an Oracle Cloud Infrastructure (OCI) environment. The engineer has set up the OCI Logging service to store access logs for the application but notices that the logs from the Meshifyd application are not showing up in the logging service. The engineer suspects that there might be an issue with the logging configuration. Which two statements are potential reasons for logs from the Meshifyd application not showing up in the OCI Logging service?
- A. The logconfig.json file has incorrect or missing OCID for the custom log in the logobjectId field.
- B. The OCI Logging service is set up to pre access logs by creating a log group and custom log within the same compartment.
- C. The logconfig.json file has incorrect or missing information in the application namespace in the src field.
- D. The logconfig.json file has incorrect or missing OCID for the custom log group in the logGroupObjectId field.
- E. The logconfig.json file has incorrect or missing information in the application namespace in the paths field.
Answer: A,D
Explanation:
The logconfig.json file is a configuration file that specifies how the Unified Monitoring Agent collects and uploads custom logs to the OCI Logging service2. The logconfig.json file contains an array of objects, each representing a custom log configuration2. Each custom log configuration object has the following fields2:
* logGroupObjectId: The OCID of the log group where the custom log is stored.
* logObjectId: The OCID of the custom log.
* paths: An array of paths to files or directories containing the custom logs.
* src: A regular expression that matches the files containing the custom logs.
* parser: A parser definition that specifies how to parse the custom logs. If the logconfig.json file has incorrect or missing OCID for the custom log in the logobjectId field, or incorrect or missing OCID for the custom log group in the logGroupObjectId field, then the Unified Monitoring Agent will not be able to upload the custom logs to the OCI Logging service2. Therefore, these are potential reasons for logs from the Meshifyd application not showing up in the OCI Logging service. Verified References: Unified Monitoring Agent Configuration File
NEW QUESTION # 58
What is the difference between continuous delivery and continuous deployment in the DevOps methodology?
(Choose the best answer.)
- A. Continuous delivery requires automatic linting, whereas continuous deployment testing must be run manually.
- B. Continuous delivery is a process that Initiates deployment manually, whereas continuous deployment is based on automating the deployment process.
- C. Continuous delivery involves automation of developer tasks, whereas continuous deployment involves manual operational tasks.
- D. Continuous delivery utilizes automatic deployment to a development environment, whereas continuous deployment involves automatic deployment to a production environment.
Answer: D
Explanation:
The two correct differences between continuous delivery and continuous deployment in the DevOps lifecycle are: Continuous delivery is a process that initiates deployment manually, while continuous deployment is based on automating the deployment process. In continuous delivery, the software is ready for deployment, but the decision to deploy is made manually by a human. On the other hand, continuous deployment automates the deployment process, and once the software passes all the necessary tests and quality checks, it is automatically deployed without human intervention. Continuous delivery 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 # 59
Which statement accurately describes the Oracle Cloud Infrastructure (OCI) Load Balancer integration with OCI Container Engine for Kubernetes (OKE)?
- A. OCI Load Balancer instance provisioning is triggered by the OCI Events service for each Kubernetes service with LoadBalancer type in the YAML configuration.
- 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 must be manually provisioned for each Kubernetes service that requires traffic balancing.
Answer: C
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 # 60
Which TWO are characteristics of microservices? (Choose two.)
- A. Microservices communicate over lightweight APIs.
- B. Microservices can be independently deployed.
- C. Microservices are hard to test in isolation.
- D. Microservices can be implemented in limited number of programming languages.
- E. All microservices share a data store.
Answer: A,B
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 # 61
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. Containers
- B. DevOps
- C. Kubernetes
- D. Service Mesh
- E. CI/CD Pipelines
Answer: D
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 # 62
What is the open source engine for Oracle Functions?
- A. Knative
- B. Apache OpenWhisk
- C. OpenFaas
- D. Fn Project
Answer: D
Explanation:
The Fn Project is an open source serverless computing platform that serves as the engine for Oracle Functions. It provides a runtime environment for executing functions in a serverless architecture. The Fn Project enables developers to build and deploy functions using different programming languages, including Java, Python, Node.js, and more. The Fn Project is designed to be flexible and extensible, allowing developers to define functions as small units of code and execute them in response to events or triggers. It supports event- driven execution, allowing functions to be triggered by various events such as HTTP requests, messages from messaging systems, or changes in data. Oracle Functions leverages the Fn Project as its underlying engine, providing a managed serverless platform within the Oracle Cloud Infrastructure. It allows developers to easily develop, deploy, and manage functions using the familiar Fn Project framework and tooling. With Oracle Functions, developers can focus on writing their function code while leaving the infrastructure management, scaling, and operational tasks to the platform.
NEW QUESTION # 63
Oracle Functions monitors all deployed functions and collects and reports various metrics. Which is NOT available when viewing the Application metrics in the Oracle Cloud Infrastructure (OCI) Console?
- A. The number of requests to invoke a function that failed with an error response.
- B. The length of time a function runs for.
- C. The number of retries made by the function before failing due to an error.
- D. The number of requests to invoke a function that failed due to throttling.
Answer: C
Explanation:
The option that is NOT available when viewing the Application metrics in the Oracle Cloud Infrastructure (OCI) Console is: "The number of retries made by the function before failing due to an error." When viewing the Application metrics in the OCI Console for Oracle Functions, you can typically see metrics related to the performance and usage of your functions. These metrics provide insights into how your functions are performing and being utilized. The following metrics are usually available: The number of requests to invoke a function that failed due to throttling: This metric indicates the number of requests that were not processed by the function due to reaching the configured concurrency limit or throttling settings. The length of time a function runs for: This metric represents the duration of each function invocation, measuring the time it takes for the function to complete its execution. The number of requests to invoke a function that failed with an error response: This metric counts the number of requests that encountered an error during the function invocation, resulting in a failed response. However, the number of retries made by the function before failing due to an error is not typically available as part of the Application metrics in the OCI Console. The retries made by the function are usually handled at the invoker level, and the specific details of retries may not be captured as part of the application-level metrics. It's important to note that the availability of metrics and their specific details may vary depending on the version and configuration of Oracle Functions and the monitoring setup. It is recommended to refer to the Oracle Functions documentation and consult the official documentation for accurate and up-to-date information on available metrics.
NEW QUESTION # 64
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 request header authorization.
- B. Create an authorizer function using token-based authorization.
- C. Create an authorizer function using OCI Identity and Access Management 91AM) based authentication.
- D. Create a cross account functions authorizer.
Answer: B
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 # 65
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. If multiple containers are spawned from the same image, then they all use the same copy of that image in memory.
- D. A container can exist without an image but an image cannot exist without a container.
- E. Only one container can be spawned from a given image at a time.
Answer: A,C
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 # 66
You developed a microservices-based application that runs in an Oracle Cloud Infrastructure (OCI) Container Engine for Kubernetes (OKE) cluster. Your security team wants to use SSL termination for this application.
What should you do to create a secure SSL termination for this application using the fewest steps possible?
- A. Generate a self-signed certificate using Let's Encrypt. Use that certificate on OCI Load Balancer. Create the Kubernetes service using this load balancer.
- B. Create a self-signed certificate and its corresponding key. Create a Kubernetes secret using the certificate and the key. Then add these annotations to the Kubernetes service: annotations: service.beta.
kubernetes.io/oci-load-balancer-ssl-ports: "443" service.beta.kubernetes.io/oci-load-balancer-security- list management-mode: "Frontend" - C. 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 - D. Add these annotations to the kubernetes service: annotations: service.beta.kubernetes.io/oci-load- balancer-ssl-ports: "443" service.beta.kubernetes.io/oci-load-balancer-ssl-secret-key: ssl secret-key
Answer: C
Explanation:
The correct answer is: "Create a self-signed certificate and its corresponding key. Create a Kubernetes secret using the certificate and the key. Then add these annotations to the Kubernetes service: annotations: service.
beta.kubernetes.io/oci-load-balancer-ssl-ports: '443' service.beta.kubernetes.io/oci-load-balancer-tls-secret: ssl certificate-secret." To create a secure SSL termination for your microservices-based application running in an OCI Container Engine for Kubernetes (OKE) cluster, you can follow these steps: Create a self-signed certificate and its corresponding key: Generate a self-signed SSL certificate and its private key using a tool like OpenSSL. Create a Kubernetes secret: Create a Kubernetes secret using the certificate and key obtained in the previous step. This secret will securely store the certificate and key within the Kubernetes cluster. Add annotations to the Kubernetes service: Modify the Kubernetes service that exposes your application and add the following annotations to enable SSL termination: annotations: service.beta.kubernetes.io/oci-load- balancer-ssl-ports: '443' (specify the SSL port as 443) annotations: service.beta.kubernetes.io/oci-load- balancer-tls-secret: ssl certificate-secret (specify the name of the Kubernetes secret containing the certificate and key) By following these steps, you can create a secure SSL termination for your application using a self- signed certificate and Kubernetes secret. The annotations added to the Kubernetes service ensure that the SSL port is configured correctly and the TLS secret is utilized for SSL termination when traffic reaches the load balancer. The other options provided are not the most suitable approaches for achieving secure SSL termination in an OCI Container Engine for Kubernetes (OKE) cluster: Adding annotations related to the OCI load balancer SSL secret key is not the correct approach for SSL termination in this scenario. Using Let's Encrypt to generate a self-signed certificate and configuring it on the OCI Load Balancer is not necessary when you can create and manage the SSL certificate within the Kubernetes cluster using a Kubernetes secret.
NEW QUESTION # 67
A service you are deploying to Oracle Cloud Infrastructure (OCI) Container Engine for Kubernetes (OKE) uses a docker image from a private repository in OCI Registry (OCIR). Which configuration is necessary to provide access to this repository from OKE?
- A. Create a dynamic group for nodes in the cluster, and a policy that allows the dynamic group to read repositories in the same compartment.
- B. Create a docker-registry secret for OCIR with API key credentials on the cluster, and specify the imagePullSecret property in the application deployment manifest.
- C. Add a generic secret on the cluster containing your identity credentials. Then specify a registryCredentials property in the deployment manifest.
- D. Create a docker-registry secret for OCIR with identity Auth Token on the cluster, and specify the imagePullSecret property in the application deployment manifest.
Answer: D
Explanation:
The necessary configuration to provide access to a private repository in OCI Registry (OCIR) from OCI Container Engine for Kubernetes (OKE) is to create a docker-registry secret for OCIR with an identity Auth Token on the cluster and specify the imagePullSecret property in the application deployment manifest. Here's the breakdown of the steps: Create a docker-registry secret for OCIR with an identity Auth Token: In order to authenticate with the private repository in OCIR, you need to create a secret in your OKE cluster that contains the necessary credentials. This can be done by generating an identity Auth Token from the OCI Console and creating a secret in the cluster using the kubectl command. Specify the imagePullSecret property in the application deployment manifest: In your application's deployment manifest (such as a Kubernetes Deployment or StatefulSet YAML file), you need to include the imagePullSecret property and specify the name of the secret you created in the previous step. This allows the OKE cluster to use the credentials from the secret to pull the docker image from the private repository in OCIR during deployment. By following these steps, you can ensure that your OKE cluster has the necessary access to the private repository in OCIR, and your application can successfully pull the required docker image during deployment.
NEW QUESTION # 68
(CHK_4>2) Which TWO statements are NOT valid regarding the Oracle Cloud Infrastructure (OCI) Streaming service? (Choose two.)
- A. The throughput of a stream is defined by a partition. A partition provides 1 MB/sec data input and 2 MB
/sec data output. - B. Although OCI Streaming automatically encrypts all data while in transit, it is the developer's responsibility to encrypt data at rest, if needed.
- C. A stream can be configured with either a public or a private endpoint with support for customer managed encryption keys.
- D. OCI Streaming can support up to 2,000 requests per second to each partition.
- E. OCI Streaming stores all data for 24 hours by default, but that can be extended up to 7 days.B
Answer: C,D
Explanation:
The two statements that are NOT valid regarding the Oracle Cloud Infrastructure (OCI) Streaming service are: A stream can be configured with either a public or a private endpoint with support for customer managed encryption keys. This statement is not valid because the OCI Streaming service currently supports only private endpoints. Customer managed encryption keys are not currently supported for OCI Streaming. OCI Streaming can support up to 2,000 requests per second to each partition. This statement is not valid because the throughput of a stream is not defined by the partition in terms of requests per second. The throughput of a stream is defined in terms of data input and output rates. Each partition provides 1 MB/sec data input and 2 MB/sec data output, but it does not correspond to a specific number of requests per second. The other statements are valid: OCI Streaming stores all data for 24 hours by default, but that can be extended up to 7 days. Although OCI Streaming automatically encrypts all data while in transit, it is the developer's responsibility to encrypt data at rest, if needed.
NEW QUESTION # 69
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 build -t OCIdevops/api:latest
- C. docker compile -t OCI devops/api:latest
- D. docker image -t OCIdevops/api:latest
Answer: B
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 # 70
Your team has created a serverless application deployed in Oracle Functions. It uses a Python function leveraging the Oracle Cloud Infrastructure (OCI) Python SDK to stop any OCI compute instance that does not comply with your corporate security standards. Although there are three non-compliant OCI compute instances, when you invoke this function, none of the instances were stopped. With respect to this issue, which of the following is a valid troubleshooting strategy?
- A. Enable function tracing in the OCI console, and then go to the OCI Monitoring console to view the function stack trace.
- B. Enable function remote debugging in the OCI console, and then use your favorite IDE to inspect the function running on Oracle Functions.
- C. Ensure that the application is deployed within the same OCI compartment as the instance, because you cannot enable function execution data from the OCI console.
- D. Enable function logging in the OCI console, add some print statements in your function code, and then view the logs to troubleshoot.
Answer: D
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.
NEW QUESTION # 71
In the DevOps lifecycle, what is the difference between continuous delivery and continuous deployment?
(Choose two.)
- A. Continuous delivery requires more automatic linting, while continuous deployment testing must be run manually.
- B. Continuous delivery is a process that initiates deployment manually, while continuous deployment is based on automating the deployment process.
- C. Continuous delivery involves automation of developer tasks, while continuous deployment involves manual operational tasks.
- D. Continuous delivery utilizes automatic deployment to a development environment, while continuous deployment involves automatic deployment to a production environment.
Answer: B,D
Explanation:
The two correct differences between continuous delivery and continuous deployment in the DevOps lifecycle are: Continuous delivery is a process that initiates deployment manually, while continuous deployment is based on automating the deployment process. In continuous delivery, the software is ready for deployment, but the decision to deploy is made manually by a human. On the other hand, continuous deployment automates the deployment process, and once the software passes all the necessary tests and quality checks, it is automatically deployed without human intervention. Continuous delivery involves automatic deployment to a development environment, while continuous deployment involves automatic deployment to a production environment. In continuous delivery, the software is automatically deployed to a development or staging environment for further testing and validation. However, the actual deployment to the production environment is performed manually. In continuous deployment, the software is automatically deployed to the production environment, eliminating the need for manual intervention in the deployment process. These differences highlight the level of automation and human involvement in the deployment process between continuous delivery and continuous deployment approaches in the DevOps lifecycle.
NEW QUESTION # 72
You are developing a real-time monitoring application for a fleet of vehicles, which will be deployed on Oracle Cloud Infrastructure (OCI). You need to choose between using OCI Queue or OCI Streaming to handle the real-time data feeds from the vehicles. Based on the scenario described, which is the most appropriate choice for handling real-time data feeds?
- A. OCI Queue, because it provides at-least-once message delivery, which is critical for real-time monitoring applications
- B. OCI Streaming, because it is designed for high-volume, continuous ingestion and processing of data, making it the best choice for a fleet of vehicles
- C. OCI Queue, because it is optimized for low-latency messaging and ideal for real-time applications
- D. OCI Streaming, because it offers exactly-once message delivery, which is necessary for real-time applications
Answer: B
Explanation:
OCI Streaming is a fully managed, scalable, and durable messaging solution for ingesting continuous, high- volume streams of data that you can consume and process in real-time1. Streaming is suitable for any use case in which data is produced and processed continually and sequentially in a publish-subscribe messaging model1. Streaming can handle millions of messages per second with low latency2. Therefore, OCI Streaming is the most appropriate choice for handling real-time data feeds from a fleet of vehicles. Verified References: Overview of Streaming, Container Engine for Kubernetes
NEW QUESTION # 73
Which TWO are required to access the Oracle Cloud Infrastructure (OCI) Container Engine for Kubernetes (OKE) cluster from the kubectl CLI? (Choose two.)
- A. An SSH key pair with the public key added to the cluster worker nodes.
- B. Tiller enabled on the OKE cluster.
- C. A configured OCI API signing key pair.
- D. OCI Identity and Access Management (IAM) Auth Token.
- E. Install and configure the OCI CLI.
Answer: C,E
Explanation:
The correct options are: A configured OCI API signing key pair: The API signing key pair is used for authentication and authorization to access OCI resources, including the OKE cluster. The private key should be configured on your local machine to authenticate API requests. An SSH key pair with the public key added to the cluster worker nodes: This is required for secure SSH access to the worker nodes in the OKE cluster.
You need to generate an SSH key pair and add the public key to the cluster's worker node pool during cluster creation or update. Therefore, the correct options are having a configured OCI API signing key pair and an SSH key pair with the public key added to the cluster worker nodes.
NEW QUESTION # 74
......
Oracle 1z0-1084-24 Exam Syllabus Topics:
| Topic | Details |
|---|---|
| Topic 1 |
|
| Topic 2 |
|
| Topic 3 |
|
| Topic 4 |
|
| Topic 5 |
|
1z0-1084-24 Dumps and Practice Test (101 Exam Questions): https://lead2pass.prep4sureexam.com/1z0-1084-24-dumps-torrent.html