Start your 1Z0-1084-25 Exam Questions Preparation with Updated 101 Questions
A Fully Updated 2025 1Z0-1084-25 Exam Dumps - PDF Questions and Testing Engine
NEW QUESTION # 58
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. Updating Dockerfile
- D. Executing docker commit
Answer: D
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 # 59
Which technique is used for testing the entire user flow as well as the moving parts of a cloud native app, ensuring that there are no high-level discrepancies?
- A. Contract Testing
- B. Unit Testing
- C. Integration Testing
- D. End-to-end Testing
- E. Component Testing
Answer: D
Explanation:
End-to-end testing is a technique that involves checking the entire user flow as well as the moving parts of a cloud native app, ensuring that there are no high-level discrepancies3. End-to-end testing simulates real user scenarios and validates the functionality, performance, reliability, and security of the app from start to finish3. End-to-end testing has several benefits, such as3:
Comprehensive testing: You can test your app as a whole and verify that all the components work together as expected.
User-centric testing: You can test your app from the user's perspective and ensure that it meets the user's needs and expectations.
Quality assurance: You can test your app in a realistic environment and identify any issues or defects before releasing it to the users.
NEW QUESTION # 60
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 upgrade -c <container> --image=image:v2
- C. kubectl update <deployment-name> --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 # 61
You are developing a distributed application and you need a call to a path to always return a specific JSON content deploy an OCI API Gateway with the below API deployment specification. What is the correct value for type? { "routes" : [{ "path" : "/hello", "methods" : ["Get"), "backend" : { "type" : " ---------------- ", "status" : 200, "headers" : [{ "name" : "Content-Type", "value" : "application/json" }] "body" : "{\"myjson\": \"consistent response\"}" }}]}
- A. STOCK_RESPONSE_BACKEND
- B. HTTP_BACKEND
- C. CONSTANT_BACKEND
- D. JSON_BACKEND
Answer: A
Explanation:
The correct value for the "type" field in the API deployment specification is "STOCK_RESPONSE_BACKEND". By setting the "type" to "STOCK_RESPONSE_BACKEND", you are indicating that the backend for the specified route should return a pre-defined response. This type of backend is commonly used when you want a specific response to be returned consistently, regardless of the actual backend service implementation. In this case, the API deployment specification is configured to have a single route with the path "/hello" and the method "GET". The backend section specifies the type as "STOCK_RESPONSE_BACKEND". Additionally, it defines the response status code as 200, sets the "Content-Type" header to "application/json", and provides the JSON content in the "body" field. Using this configuration, any request to the "/hello" path with the "GET" method will always receive a consistent JSON response with the content "{"myjson": "consistent response"}".
NEW QUESTION # 62
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. Anomaly Detection
- B. Docker
- C. Big Data
- D. Terraform
- E. Kubemetes
- F. Service Mesh
Answer: B,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 # 63
Your organization has deployed their e-commerce application on Oracle Container Engine for Kubernetes (OKE) and they are using the Oracle Cloud Infrastructure Registry (OCIR) service as their Docker image repository. They have deployed the OKE cluster using the 'custom create' option, and their Virtual Cloud Network (VCN) has three public subnets with associated Route Tables, Security Lists, and Internet Gateway. However, their application containers are failing to deploy. On investigation, they discover that the images are not being pulled from the designated OCIR repository, even though the YAML configuration has the correct path to the images. What is a valid concern here that needs to be further investigated?
- A. Identity and Access Management (IAM) credentials need to be added for each user that deploys applications to the OKE cluster.
- B. Security List rule for TCP port 22 needs to be added to connect to the OCIR service.
- C. VCN hosting the OKE cluster worker nodes needs to have a NAT gateway to access OCIR repositories.
- D. OKE cluster needs to have a secret with the credentials of their OCIR repository and use that secret in the Kubernetes deployment manifest.
Answer: D
Explanation:
A valid concern that needs to be further investigated in this scenario is whether the OKE cluster has a secret with the credentials of the Oracle Cloud Infrastructure Registry (OCIR) repository and if that secret is being used in the Kubernetes deployment manifest. Here's why this concern is relevant: Access to the OCIR repository: In order for the OKE cluster to pull images from the OCIR repository, it needs proper authentication credentials. These credentials are typically provided in the form of a secret, which contains the necessary information to authenticate with the registry. Secret in the deployment manifest: The Kubernetes deployment manifest defines how the application containers should be deployed. It includes specifications such as the container image, resource requirements, and environment variables. To pull images from a private repository like OCIR, the deployment manifest needs to reference the appropriate secret that contains the registry credentials. If the images are not being pulled from the designated OCIR repository, it suggests that either the secret with the OCIR credentials is missing or it is not properly referenced in the deployment manifest. Further investigation should focus on verifying the presence and correctness of the secret, as well as confirming that it is correctly referenced in the deployment manifest for the application containers. By ensuring the presence of the secret and proper configuration in the deployment manifest, the OKE cluster will have the necessary credentials to access the OCIR repository and successfully deploy the application containers.
NEW QUESTION # 64
What is the open source engine for Oracle Functions?
- A. Knative
- B. OpenFaas
- C. Apache OpenWhisk
- 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 # 65
A company is developing a new application that needs to process transactions in real time. The company wants to ensure that all transactions are processed in order and that no transaction is lost. Which of these is a correct strategy for leveraging OCI Queue in this scenario?
- A. Use a single queue to process all transactions.
- B. Use a separate queue for each type of transaction.
- C. Use a separate queue for each application instance.
- D. Use a priority queue to prioritize requests.
Answer: A
Explanation:
OCI Queue is a service for enabling asynchronous (decoupled) communication in a serverless manner3. Queue handles high-volume transactional data that requires independent processing without loss or duplication3. Queue supports ordering of messages within a queue by using the FIFO (first-in-first-out) delivery option3. Therefore, using a single queue to process all transactions ensures that all transactions are processed in order and that no transaction is lost. Verified Reference: Overview of Queue
NEW QUESTION # 66
What are the TWO main reasons you would choose to implement a serverless architecture? (Choose two.)
- A. Automatic horizontal scaling
- B. Reduced operational cost
- C. Easier to run long-running operations
- D. No need for integration testing
- E. Improved in-function state management
Answer: A,B
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 # 67
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. Deployment resource
- B. Namespace
- C. Container
- D. Service
- E. Pod
Answer: E
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 # 68
To enforce mutual TLS (mTLS) authentication for clients of your microservices, your team has chosen to leverage the Oracle Cloud Infrastructure (OCI) API Gateway service to create new API Deployments that will direct requests to your microservices. Which is NOT valid regarding the mTLS options in OCI API Gateway?
- A. Once the mTLS request policy is enabled, ALL requests with valid certificates are routed to the backend unless you have defined one or more particular values (such as a domain name).
- B. Adding a custom certificate authority (CA) or custom CA bundle to your gateway's trust store for mTLS is optional unless you need to reject certificates that do not contain particular values (such as a domain name).
- C. The mTLS request policy can only be enabled at the API deployment specification level, which then applies globally to ALL routes in that deployment.
- D. Custom CA or custom CA bundles can be added to your gateway's trust store ONLY if they already exist in the OCI Certificates service.
Answer: B
Explanation:
The correct answer is: "Adding a custom certificate authority (CA) or custom CA bundle to your gateway's trust store for mTLS is optional unless you need to reject certificates that do not contain particular values (such as a domain name)." The statement that is NOT valid regarding the mTLS options in OCI API Gateway is: "Adding a custom certificate authority (CA) or custom CA bundle to your gateway's trust store for mTLS is optional unless you need to reject certificates that do not contain particular values (such as a domain name)." In OCI API Gateway, adding a custom certificate authority (CA) or custom CA bundle to the gateway's trust store is not optional. It is a necessary step when configuring mTLS authentication. The trust store in the gateway is used to validate the client certificates presented during mTLS authentication. The other options listed are valid regarding the mTLS options in OCI API Gateway: Once the mTLS request policy is enabled, all requests with valid certificates are routed to the backend unless specific values (such as a domain name) are defined. This means that only requests with valid client certificates will be allowed to access the backend microservices. The mTLS request policy can only be enabled at the API deployment specification level, and it applies globally to all routes in that deployment. This ensures consistent mTLS authentication across all routes and endpoints in the API deployment. Custom CA or custom CA bundles can be added to the gateway's trust store, but only if they already exist in the OCI Certificates service. This allows you to include trusted CAs or CA bundles to validate client certificates during mTLS authentication.
NEW QUESTION # 69
You have a containerized application that requires access to an Autonomous Transaction Processing (ATP) Database. Which option is NOT valid when the container is deployed in an OKE cluster? (Choose the best answer.)
- A. Use Kubernetes secrets to configure environment variables on the container with ATP instance OCID, and OCI API credentials. Then use the CreateConnection API endpoint from the service runtime.
- B. Create a Kubernetes secret with contents from the instance Wallet files. Use this secret to create a volume mounted to the appropriate path in the application deployment manifest.
- C. Install the Oracle Cloud Infrastructure Service Broker on the Kubernetes cluster and deploy ServiceInstance and ServiceBinding resources for ATP. Then use the specified binding name as a volume in the application deployment manifest.
- D. Enable Oracle REST Data Services for the required schemas and connect via HTTPS.
Answer: C
Explanation:
The option that is not valid for connecting to an Autonomous Transaction Processing (ATP) Database from a container in Kubernetes is: Install the Oracle Cloud Infrastructure Service Broker on the Kubernetes cluster and deploy ServiceInstance and ServiceBinding resources for ATP. Then use the specified binding name as a volume in the application deployment manifest. The Oracle Cloud Infrastructure Service Broker is not used for connecting to an ATP Database from a container in Kubernetes. The Service Broker is used for provisioning and managing cloud services directly from Kubernetes. It allows you to create and manage instances of OCI services using Kubernetes resources like ServiceInstance and ServiceBinding. To connect to an ATP Database from a container in Kubernetes, you can use one of the following valid options: Enable Oracle REST Data Services for the required schemas and connect via HTTPS. This involves enabling and configuring Oracle REST Data Services (ORDS) for the schemas in the ATP Database. You can then connect to the ATP Database using RESTful endpoints provided by ORDS. Use Kubernetes secrets to configure environment variables on the container with ATP instance OCID and OCI API credentials. Then use the CreateConnection API endpoint from the service runtime. This approach involves configuring the necessary environment variables on the container to provide the ATP instance OCID and OCI API credentials. The application can then use the OCI SDK or REST API (such as the CreateConnection endpoint) to establish a connection to the ATP Database. Create a Kubernetes secret with contents from the instance Wallet files. Use this secret to create a volume mounted to the appropriate path in the application deployment manifest. This method involves creating a Kubernetes secret that contains the necessary credentials from the ATP Database's instance wallet files. The secret can then be mounted as a volume in the application deployment, allowing the application to access the required credentials for connecting to the ATP Database. Both options 1 and 3 provide valid approaches for connecting to an ATP Database from a container in Kubernetes, depending on the specific requirements and preferences of the application.
NEW QUESTION # 70
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. Encrypt the password using the OCI Vault service and then decrypt this password in your function code with the generated key.
- B. Use OCI Console to enter the password in the function configuration section in the provided input field.
- C. Leverage application-level configuration variables to store passwords because they are automatically encrypted by Oracle Functions.
- D. 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.
Answer: A
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 # 71
You encounter an unexpected error when invoking Oracle Functions from your Cloud Shell session named myfunction in the myapp application. Which option will get you more information on the error?
- A. Contact Oracle support with your error message
- B. fn --debug invoke myapp myfunction
- C. fn --verbose invoke myapp myfunction
- D. DEBUG=1 fn invoke myapp myfunction
Answer: D
Explanation:
The option that will get you more information on the error when invoking Oracle Functions from your Cloud Shell session is: "DEBUG=1 fn invoke myapp myfunction". Setting the environment variable DEBUG=1 before invoking the function using the fn command allows you to enable debug mode, which provides more detailed information about the execution of the function. This can be useful for troubleshooting and understanding the root cause of the error. By using the command "DEBUG=1 fn invoke myapp myfunction", the function invocation will be executed with debug mode enabled, and additional debug information will be displayed in the console output. This information can include stack traces, detailed error messages, and other relevant details that can help identify and resolve the issue. Using the verbose option (--verbose) or debug option (--debug) with the fn command may also provide additional information, but the specific behavior may depend on the version and configuration of the fn CLI tool. While contacting Oracle support with the error message is always an option, enabling debug mode using the DEBUG=1 environment variable provides immediate access to more detailed information and can help in diagnosing and resolving the error more efficiently.
NEW QUESTION # 72
Having created a Container Engine for Kubernetes (OKE) cluster, you can use Oracle Cloud Infrastructure (OCI) Logging to view and search the logs of applications running on the worker node compute instances in the cluster. Which task is NOT required to collect and parse application logs? (Choose the best answer.)
- A. Enable monitoring for all worker nodes in the cluster.
- B. Configure a custom log in OCI Logging with the appropriate agent configuration.
- C. Set the OCI Logging option to Enabled for the cluster.
- D. Create a dynamic group with a rule that includes all worker nodes In the cluster.
Answer: A
Explanation:
The correct answer is: Enable monitoring for all worker nodes in the cluster. Enabling monitoring for all worker nodes in the cluster is not required to collect and parse application logs using Oracle Cloud Infrastructure (OCI) Logging. Monitoring is a separate feature that allows you to collect metrics and monitor the health and performance of the worker nodes. To collect and parse application logs, you need to perform the following tasks: Set the OCI Logging option to Enabled for the cluster: This enables the OCI Logging service for the cluster. Create a dynamic group with a rule that includes all worker nodes in the cluster: This helps in targeting the logs generated by the worker nodes. Configure a custom log in OCI Logging with the appropriate agent configuration: This involves specifying the log source, log path, and log format to parse and collect the application logs. By completing these tasks, you can collect and parse the application logs generated by the applications running on the worker node compute instances in the OKE cluster.
NEW QUESTION # 73
......
Oracle 1Z0-1084-25 Exam Syllabus Topics:
| Topic | Details |
|---|---|
| Topic 1 |
|
| Topic 2 |
|
| Topic 3 |
|
| Topic 4 |
|
| Topic 5 |
|
Easy Success Oracle 1Z0-1084-25 Exam in First Try: https://www.braindumpspass.com/Oracle/1Z0-1084-25-practice-exam-dumps.html
Best 1Z0-1084-25 Exam Dumps for the Preparation of Latest Exam Questions: https://drive.google.com/open?id=1ogktN-1HA4YALTBu_Ua7beLiRjPvC9Q_
