Authentic Oracle 1Z0-1084-25 Exam Dumps PDF - Feb-2026 Updated [Q23-Q48]

Authentic Oracle 1Z0-1084-25 Exam Dumps PDF - Feb-2026 Updated

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NEW QUESTION # 23
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-tls-secret: ssl certificate-secret
• C. 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
• D. Create a self-signed certificate and its corresponding key. Create a Kubernetes secret using the certificate and the key. Then add these annotations to the Kubernetes service: annotations: service.beta.kubernetes.io/oci-load-balancer-ssl-ports: "443" service.beta.kubernetes.io/oci-load-balancer-security-list management-mode: "Frontend"

Answer: B

Explanation:
The correct answer is: "Create a self-signed certificate and its corresponding key. Create a Kubernetes secret using the certificate and the key. Then add these annotations to the Kubernetes service: annotations: service.beta.kubernetes.io/oci-load-balancer-ssl-ports: '443' service.beta.kubernetes.io/oci-load-balancer-tls-secret: ssl certificate-secret." To create a secure SSL termination for your microservices-based application running in an OCI Container Engine for Kubernetes (OKE) cluster, you can follow these steps: Create a self-signed certificate and its corresponding key: Generate a self-signed SSL certificate and its private key using a tool like OpenSSL. Create a Kubernetes secret: Create a Kubernetes secret using the certificate and key obtained in the previous step. This secret will securely store the certificate and key within the Kubernetes cluster. Add annotations to the Kubernetes service: Modify the Kubernetes service that exposes your application and add the following annotations to enable SSL termination: annotations: service.beta.kubernetes.io/oci-load-balancer-ssl-ports: '443' (specify the SSL port as 443) annotations: service.beta.kubernetes.io/oci-load-balancer-tls-secret: ssl certificate-secret (specify the name of the Kubernetes secret containing the certificate and key) By following these steps, you can create a secure SSL termination for your application using a self-signed certificate and Kubernetes secret. The annotations added to the Kubernetes service ensure that the SSL port is configured correctly and the TLS secret is utilized for SSL termination when traffic reaches the load balancer. The other options provided are not the most suitable approaches for achieving secure SSL termination in an OCI Container Engine for Kubernetes (OKE) cluster: Adding annotations related to the OCI load balancer SSL secret key is not the correct approach for SSL termination in this scenario. Using Let's Encrypt to generate a self-signed certificate and configuring it on the OCI Load Balancer is not necessary when you can create and manage the SSL certificate within the Kubernetes cluster using a Kubernetes secret.

NEW QUESTION # 24
Which is NOT a valid backend-type option available when configuring an Oracle Cloud Infrastructure (OCI) API Gateway Deployment?

• A. HTTP_BACKEND
• B. ORACLE_FUNCTIONS_BACKEND
• C. ORACLE STREAMS_BACKEND

Answer: C

Explanation:
When configuring an OCI API Gateway deployment, you need to specify the backend type for each route in your API deployment specification3. The backend type determines how the API gateway handles requests to that route and forwards them to the appropriate backend service3. The following backend types are valid options for an OCI API Gateway deployment3:
HTTP_BACKEND: The API gateway forwards requests to an HTTP or HTTPS URL as the backend service.
ORACLE_FUNCTIONS_BACKEND: The API gateway invokes an Oracle Functions function as the backend service.
STOCK_RESPONSE_BACKEND: The API gateway returns a stock response without invoking any backend service. ORACLE STREAMS_BACKEND is not a valid backend type for an OCI API Gateway deployment. Oracle Streams is a fully managed, scalable, and durable messaging service that you can use to ingest and consume large amounts of data in real-time4. However, Oracle Streams is not supported as a backend service for an OCI API Gateway deployment.

NEW QUESTION # 25
Which of the following TWO statements are TRUE about deleting a Kubernetes cluster? (Choose two.)

• A. You cannot change the autogenerated names of the worker nodes in the format oke-c<part-of cluster- CCID>-<part-of-node-pool-OCID>-<part-of-subnet-OCID>-<slot> within a Kubernetes cluster.
• B. Upon deleting a cluster, no other resources created during the cluster creation process or associated with the cluster (such as VCNS. Internet Gateways, NAT Gateways, Route Tables, Security Lists. Load Balancers, and Block Volumes) are deleted automatically.
• C. Changing the auto-generated name of a worker node does not affect the deletion of the worker node when the cluster in which it is created is deleted.
• D. Upon deleting a cluster, other resources created during the cluster creation process or associated with the cluster (such as VCNS, Internet Gateways, NAT Gateways, Route Tables, Security Lists, B. Load Balancers, and Block Volumes) are deleted automatically.
• E. If you change the auto-generated name of a worker node and then delete the cluster, the renamed worker node is not deleted.

Answer: B,E

Explanation:
The correct statements about deleting a Kubernetes cluster are: If you change the auto-generated name of a worker node and then delete the cluster, the renamed worker node is not deleted. Changing the name of a worker node does not affect its deletion when the cluster is deleted. The cluster deletion process does not consider the renamed worker nodes and will delete all worker nodes associated with the cluster. Upon deleting a cluster, no other resources created during the cluster creation process or associated with the cluster (such as VCNs, Internet Gateways, NAT Gateways, Route Tables, Security Lists, Load Balancers, and Block Volumes) are deleted automatically. These additional resources are not automatically deleted when the cluster is deleted. You need to manage the deletion of these resources separately, if desired. Therefore, the correct statements are that the renamed worker nodes are not deleted when the cluster is deleted, and other associated resources are not automatically deleted when the cluster is deleted.

NEW QUESTION # 26
Which TWO statements are correct regarding Docker images and containers? (Choose two.)

• A. A container can exist without an image but an image cannot exist without a container.
• B. Only one container can be spawned from a given image at a time.
• C. Writing and building a new Dockerfile is the only way you can create new Docker images.
• D. An image is a collection of immutable layers whereas a container is a running instance of an image.
• E. If multiple containers are spawned from the same image, then they all use the same copy of that image in memory.

Answer: D,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 # 27
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. Amount of RAM used by a function
• B. Length of time a function runs
• C. Amount of CPU used by a function
• D. Number of times a function is invoked
• E. Number of times a function Is removed

Answer: A,C

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 # 28
Which THREE are valid statements regarding the OCI Container Engine for Kubernetes (OKE) service? (Choose three.)

• A. You must have access to an Oracle Cloud Infrastructure tenancy. Your tenancy must have sufficient quota on different types of resources.
• B. OKE automatically creates and configures new network resources for the new cluster.
• C. There is a limit of three clusters within each region, but there is no limit on the number of nodes and pods you can create within each cluster.
• D. OKE cannot use existing network resources for the creation of a new cluster.

Answer: A,B,C

Explanation:
The valid statements regarding the OCI Container Engine for Kubernetes (OKE) service are: OKE automatically creates and configures new network resources for the new cluster. When creating a new OKE cluster, the service automatically provisions and configures the necessary network resources, such as VCNs, subnets, route tables, security lists, and load balancers, to support the cluster. Your tenancy must have sufficient quota on different types of resources. Before creating an OKE cluster, you need to ensure that your Oracle Cloud Infrastructure (OCI) tenancy has sufficient quota for the required resources, such as compute instances, block storage, networking resources, and load balancers. You must have access to an Oracle Cloud Infrastructure tenancy. To use the OKE service, you need to have access to an OCI tenancy. This means you must have a valid OCI account and the necessary permissions to create and manage resources within the tenancy. The following statements are not valid: OKE cannot use existing network resources for the creation of a new cluster. OKE creates new network resources specifically for the cluster, and it does not support using existing network resources. There is a limit of three clusters within each region, but there is no limit on the number of nodes and pods you can create within each cluster. This statement is incorrect. There is no specific limit on the number of clusters you can create within a region in OKE. However, there may be certain limits or quotas on resources that can impact the number of clusters you can create.

NEW QUESTION # 29
Which of the following is NOT a criterion that is usually met by a microservice?

• A. Independently deployable
• B. Tightly coupled
• C. Highly maintainable
• D. Organized around business capabilities.

Answer: B

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 # 30
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. Executing docker save
• B. Updating docker-compose.yml
• C. Executing docker commit
• D. Updating Dockerfile

Answer: C

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 # 31
What is the open source engine for Oracle Functions?

• A. OpenFaas
• B. Fn Project
• C. Knative
• D. Apache OpenWhisk

Answer: B

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 # 32
Which TWO are characteristics of microservices? (Choose two.)

• A. Microservices communicate over lightweight APIs.
• B. Microservices are hard to test in isolation.
• C. All microservices share a data store.
• D. Microservices can be independently deployed.
• E. Microservices can be implemented in limited number of programming languages.

Answer: A,D

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 # 33
Which command is used to get a Docker image from Oracle Cloud Infrastructure Registry (OCIR) to the client machine?

• A. docker fetch <tenancy-namespace>/<region-key>.ocir.io/<repo-name>:<tag>
• B. docker pull <region-key>.ocir.io/<tenancy-namespace>/<repo-name>: <tag>
• C. docker fetch <region-key>.ocir.io/<tenancy-namespace>/<repo-name>:<tag>
• D. docker pull <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 # 34
Which statement about microservices is FALSE?

• A. It is fairly common for them to communicate with HTTP.
• B. They are independently deployable.
• C. Multiple microservices can run in one process.
• D. They are typically designed around business capabilities.

Answer: A

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

NEW QUESTION # 35
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 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'
• 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 the following dynamic group for your function's OCID: Name: read-file-dg Rule: resource.id = "ocid1.fnfunc.oc1.phx.aaaaaaaakeaobctakezjz5i4ujj7g25q7sx5m vr55pms6f4da'
• E. 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'

Answer: A,D

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 # 36
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. Service
• B. Deployment resource
• C. Namespace
• D. Pod
• E. Container

Answer: D

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 # 37
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. Service Mesh
• B. Terraform
• C. Anomaly Detection
• D. Big Data
• E. Kubemetes
• F. Docker

Answer: A,E,F

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 # 38
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. 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.
• B. Enable function logging in the OCI console, add some print statements in your function code, and then view the logs to troubleshoot.
• C. Enable function remote debugging in the OCI console, and then use your favorite IDE to inspect the function running on Oracle Functions.
• D. Enable function tracing in the OCI console, and then go to the OCI Monitoring console to view the function stack trace.

Answer: B

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 # 39
Your organization has mandated that all deployed container images used for microservices must be signed by a specified master encryption key (MEK). You have appropriately signed the container images as part of your build process, but must now ensure that they are automatically verified when they are deployed to Oracle Cloud Infrastructure (OCI) Container Engine for Kubemetes (OKE) clusters. Which option should be used to mandate image verification when deploying to OKE clusters, assuming that MEK is already stored in an available OCI Vault? (Choose the best answer.)

• A. Enable image verification policies separately for each OKE cluster because this is enforced at the cluster level.
  (Correct)
• B. Enable image verification policies separately for each node pool within each OKE cluster because this is enforced at the node pool level.
• C. Enable image verification policies separately for each Kubemetes pod deployment because this is enforced at the pod level.
• D. Enable Image verification policies for your OKE service control plane which will enforce this for all OKE clusters.

Answer: A

Explanation:
To mandate image verification when deploying container images to Oracle Cloud Infrastructure (OCI) Container Engine for Kubernetes (OKE) clusters, you should enable image verification policies separately for each OKE cluster. This is enforced at the cluster level. Enabling image verification policies at the cluster level ensures that all container images deployed to the OKE cluster are automatically verified against the specified master encryption key (MEK). This helps maintain the security and integrity of the deployed microservices by ensuring that only signed and trusted container images are used. Enabling image verification policies at the cluster level allows for consistent and centralized enforcement of the verification process across all nodes and node pools within the cluster. It provides a standardized approach to image verification for the entire cluster, simplifying management and ensuring compliance with the organization's mandate. Enabling image verification policies separately for each node pool or at the pod level would introduce complexity and potential inconsistencies in the verification process. Therefore, enforcing image verification at the cluster level is the recommended approach.

NEW QUESTION # 40
Your organization is developing serverless applications with Oracle Functions. Many functions will need to store state data in a database, which will require using appropriate credentials. However, your corporate security standards mandate encryption of secret information, such as database passwords. How would you address this security requirement?

• A. Leverage application-level configuration variables to store passwords because they are automatically encrypted by Oracle Functions.
• B. Use OCI Console to enter the password in the function configuration section in the provided input field.
• C. Use the OCI Vault service to auto-encrypt the password and then set an application-level configuration variable to reference the auto-decrypted password inside your function container.
• D. Encrypt the password using the OCI Vault service and then decrypt this password in your function code with the generated key.

Answer: D

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

NEW QUESTION # 41
What is the difference between blue/green and canary deployment strategies? (Choose the best answer.)

• A. In blue/green, both old and new applications are in production at the same time. In canary, the application Is deployed incrementally to a select group of people.
• B. In blue/green, current applications are slowly replaced with new ones. In canary, the application Is deployed Incrementally to a select group of people.
• C. In blue/green, current applications are slowly replaced with new ones. In canary, both old and new applications are in production at the same time.
• D. In blue/green, the application Is deployed In minor Increments to a select group of people. In canary, both old and new applications are simultaneously in production.

Answer: A

Explanation:
The correct answer is: In blue/green deployment, both old and new applications are in production at the same time. In canary deployment, the application is deployed incrementally to a select group of people. In a blue/green deployment strategy, two identical environments, referred to as blue and green, are set up. The current production environment (blue) continues to serve live traffic while a new version of the application is deployed in the green environment. Once the new version is tested and deemed stable, traffic is routed from the blue environment to the green environment, making it the new production environment. This approach allows for a seamless switch between the old and new versions of the application. On the other hand, in a canary deployment strategy, the new version of the application is deployed incrementally to a small subset of users or a specific group. This allows for testing the new version in a real production environment while minimizing the impact of any potential issues. If the new version performs well and meets the desired criteria, it can be gradually rolled out to a larger audience or the entire user base. In summary, the main difference between blue/green and canary deployment strategies lies in how the deployment is managed. Blue/green involves simultaneous production of both old and new applications, while canary deployment focuses on incremental deployment to a select group of users.

NEW QUESTION # 42
Which of these is a valid use case for OCI Queue?

• A. Storing and retrieving large files
• B. Sending real-time streaming data
• C. Managing network traffic between services
• D. Building decoupled and scalable systems

Answer: D

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 # 43
You deployed a Python application to an Oracle Container Engine for Kubernetes (OKE) cluster. However, while testing you found a bug, which you rectified and then created a new Docker image. You now need to ensure that if this new image does not work once deployed, you should be able to roll back to the previous version. Using kubect1, which strategy should you use?

• A. Rolling Update
• B. Blue/Green Deployment
• C. Canary Deployment
• D. A/B Testing

Answer: A

Explanation:
A rolling update is a deployment strategy that gradually replaces the old version of an application with the new version without any downtime4. OKE supports rolling updates by using the kubectl rollout command4. A rolling update allows you to roll back to the previous version if something goes wrong with the new version4. Therefore, using a rolling update strategy with kubectl ensures that you can roll back to the previous version of your Python application if the new image does not work once deployed. Verified Reference: Deploy Oracle Container Engine for Kubernetes

NEW QUESTION # 44
Which is NOT a valid use case for leveraging the Oracle Cloud Infrastructure (OCI) Events service?

• A. Triggering a notification action when a function completes its execution.
• B. Capturing the OCI Monitoring service alarms and invoking autoscaling of compute instances.
• C. Triggering a function deployed in Oracle Functions when new files are uploaded to an OCI Object Storage bucket.
• D. Publishing all the OCI resource events in a specific compartment to the OCI Streaming service for later analysis.
• E. Publishing a notification when long-lived tasks complete, such as an OCI Autonomous Database backup completion.

Answer: B

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

NEW QUESTION # 45
(CHK_4>2) You have a scenario where a DevOps team wants to store secrets in Oracle Cloud Infrastructure (OCI) Vault so that it can inject the secrets into an app's environment variables (for example, MYSQL_DB_PASSWD) at deployment time. Which is NOT valid about managing secrets in the OCI Vault service?

• A. You can manually create new secrets as well as new secret versions using the OCI Console:
• B. New secret versions automatically expire in 90 days unless you configure an expiry rule.
• C. A unique OCID is automatically generated for each secret and remains unchanged even when creating a new secret version.
• D. A secret reuse rule prevents the use of secret contents across different versions of a secret.

Answer: C

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

NEW QUESTION # 46
Which two "Action Type" options are NOT available in an Oracle Cloud Infrastructure (OCI) Events rule definition? (Choose two.)

• A. Slack
• B. Functions
• C. Email
• D. Streaming
• E. Notifications

Answer: A,C

Explanation:
The two "Action Type" options that are NOT available in an Oracle Cloud Infrastructure (OCI) Events rule definition are: Email (Correct) Slack (Correct) The available "Action Type" options in OCI Events rule definition include Functions, Notifications, and Streaming. However, email and Slack are not directly supported as action types in OCI Events. Instead, you can use Notifications to send notifications to various notification channels, including email and Slack, through the OCI Notifications service.

NEW QUESTION # 47
A service you are deploying to Oracle Cloud Infrastructure (OCI) Container Engine for Kubernetes (OKE) uses a docker image from a private repository in OCI Registry (OCIR). Which configuration is necessary to provide access to this repository from OKE?

• A. Create a docker-registry secret for OCIR with API key credentials on the cluster, and specify the imagePullSecret property in the application deployment manifest.
• B. Add a generic secret on the cluster containing your identity credentials. Then specify a registryCredentials property in the deployment manifest.
• C. Create a dynamic group for nodes in the cluster, and a policy that allows the dynamic group to read repositories in the same compartment.
• 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 # 48
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Oracle 1Z0-1084-25 Exam Syllabus Topics:

Topic	Details
Topic 1	Leveraging Serverless Technologies for Cloud Native Development: This section of the exam measures the skills of professionals in serverless development within OCI. It covers creating serverless applications using Oracle Functions, building API gateways for routing traffic, and integrating systems through OCI Streaming Service. Additionally, it explores event-driven architectures using OCI Event Service and how OCI Queue enables asynchronous messaging between microservices.
Topic 2	Testing and Securing Cloud-Native Applications: This section focuses on testing strategies and security for cloud-native applications. It discusses different testing methodologies, securing sensitive information using OCI Vault, and implementing security measures to address cloud-native development challenges.
Topic 3	Cloud Native Fundamentals: This section of the exam measures the skills of target audience and covers the essential principles of cloud-native development. It explains the core concepts, key pillars, and advantages of cloud-native applications. The section also focuses on microservices architecture, including its design methodology and how it supports scalable, distributed applications.
Topic 4	Cloud Native Applications and Containerization: This section of the exam covers containerization technologies for cloud-native applications. It explains Docker architecture, its components, and the process of pulling and pushing container images using Oracle Cloud Infrastructure Registry (OCIR). It also explores container orchestration, deploying applications on Oracle Kubernetes Engine (OKE), and using OCI Service Mesh for Kubernetes deployments.
Topic 5	Monitoring & Troubleshooting Cloud-Native Applications: This section of the exam focuses on monitoring and troubleshooting cloud-native applications. It covers using OCI Monitoring to track metrics, OCI Logging for managing logs and performing tasks related to monitoring, logging, and tracing for better observability and issue resolution.

 

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