QUICK PREPARATION WITH ORACLE 1Z0-1084-25 QUESTIONS

Quick Preparation with Oracle 1Z0-1084-25 Questions

Quick Preparation with Oracle 1Z0-1084-25 Questions

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Oracle 1Z0-1084-25 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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.
Topic 2
  • 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 3
  • 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 4
  • 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 5
  • 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.

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Oracle Cloud Infrastructure 2025 Developer Professional Sample Questions (Q35-Q40):

NEW QUESTION # 35
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. Terraform
  • B. Kubemetes
  • C. Docker
  • D. Big Data
  • E. Service Mesh
  • F. Anomaly Detection

Answer: B,C,E

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 # 36
As a Cloud Native developer, you have written a web service for your company. However, your security team has suggested that your web service should address Distributed Denial-of-Service (DDoS) attack. You are time-constrained and you need to ensure that this is implemented as soon as possible. What should you do in this scenario? (Choose the best answer.)

  • A. Use the OCI API Gateway service and configure rate limiting.
  • B. Use the OCI Virtual Cloud Network (VCN) segregation to control DDoS.
  • C. Use a third party service integration to Implement DDoS attack mitigation.
  • D. Re-write your web service and implement rate limiting.

Answer: A

Explanation:
The correct answer in this scenario is to use the OCI API Gateway service and configure rate limiting. Using the OCI API Gateway service and configuring rate limiting is an effective approach to address Distributed Denial-of-Service (DDoS) attacks. By implementing rate limiting, you can control the number of requests that can be made to your web service within a specific time frame. This helps to prevent overload and ensures that your service can handle legitimate traffic while mitigating the impact of DDoS attacks. By leveraging the OCI API Gateway service, you can easily configure rate limiting rules to restrict the number of requests per second or per minute. This allows you to set appropriate thresholds and safeguard your web service from being overwhelmed by excessive requests. The API Gateway acts as a protective layer, filtering out malicious traffic and ensuring the smooth operation of your service. While options like OCI Virtual Cloud Network (VCN) segregation and third-party service integrations may contribute to overall security, they do not specifically address DDoS attacks as efficiently as rate limiting. VCN segregation focuses more on network segmentation and isolation, while third-party service integration may introduce additional dependencies and complexities. Re-writing your web service and implementing rate limiting is a viable option, but it may not be feasible considering the time constraints mentioned. Leveraging the OCI API Gateway service provides a quicker and easier solution to implement DDoS attack mitigation through rate limiting.


NEW QUESTION # 37
You want to push a new image in the Oracle Cloud Infrastructure (OCI) Registry. Which TWO actions would you need to perform? (Choose two.)

  • A. Generate an auth token to complete the authentication via Docker CLI.
  • B. Generate an API signing key to complete the authentication via Docker CLI.
  • C. Assign an OCI defined tag via OCI CLI to the image.
  • D. Assign a tag via Docker CLI to the image.
  • E. Generate an OCI tag namespace in your repository.

Answer: A,D

Explanation:
To push a new image to the Oracle Cloud Infrastructure (OCI) Registry, you would need to perform the following two actions: Assign a tag via Docker CLI to the image: Before pushing the image, you need to assign a tag to it using the Docker CLI. The tag helps identify the image and associate it with a specific version or label. Generate an auth token to complete the authentication via Docker CLI: To authenticate and authorize the push operation, you need to generate an auth token. This token is used to authenticate your Docker CLI with the OCI Registry, allowing you to push the image securely. Note: Generating an API signing key, assigning an OCI defined tag via OCI CLI, and generating an OCI tag namespace are not required steps for pushing a new image to the OCI Registry.


NEW QUESTION # 38
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. 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.
  • B. Enable Oracle REST Data Services for the required schemas and connect via HTTPS.
  • 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. 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.

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 # 39
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, the application Is deployed In minor Increments to a select group of people. In canary, both old and new applications are simultaneously in production.
  • 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, current applications are slowly replaced with new ones. In canary, the application Is deployed Incrementally to a select group of people.

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 # 40
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