Pass Guaranteed Quiz 1Z0-1084-25 - Oracle Cloud Infrastructure 2025 Developer Professional–High-quality Reliable Test Test
Pass Guaranteed Quiz 1Z0-1084-25 - Oracle Cloud Infrastructure 2025 Developer Professional–High-quality Reliable Test Test
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1Z0-1084-25 Reliable Exam Questions - 1Z0-1084-25 Well Prep
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Oracle Cloud Infrastructure 2025 Developer Professional Sample Questions (Q30-Q35):
NEW QUESTION # 30
As a developer, you have been tasked with implementing a microservices-based application. Which THREE technologies are best suited to accomplish the task? (Choose three.)
- A. Kubemetes
- B. Docker
- C. Terraform
- D. Service Mesh
- E. Anomaly Detection
- F. Big Data
Answer: A,B,D
Explanation:
The three technologies best suited for implementing a microservices-based application are: Service Mesh: A service mesh is a dedicated infrastructure layer that provides features like service discovery, load balancing, encryption, authentication, and observability for microservices. It helps in managing the communication and interactions between microservices in a scalable and secure manner. Kubernetes: Kubernetes is an open-source container orchestration platform that enables the deployment, scaling, and management of containerized applications. It provides features like automated scaling, service discovery, load balancing, and self-healing capabilities, which are essential for managing microservices in a distributed environment. Docker: Docker is a popular containerization platform that allows packaging applications and their dependencies into lightweight containers. It provides a consistent and portable environment for running microservices, enabling easy deployment and scalability. Docker also facilitates isolation and resource efficiency, making it an ideal choice for deploying microservices. While Big Data, Anomaly Detection, and Terraform are valuable technologies, they are not specifically focused on enabling the implementation of microservices-based applications.
NEW QUESTION # 31
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 build -t OCIdevops/api:latest
- B. docker compile -t OCI devops/api:latest
- C. docker create -t OCIdevops/api:latest
- D. docker image -t OCIdevops/api:latest
Answer: A
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 # 32
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. Install and configure the OCI CLI.
- C. OCI Identity and Access Management (IAM) Auth Token.
- D. A configured OCI API signing key pair.
- E. Tiller enabled on the OKE cluster.
Answer: B,D
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 # 33
You are building a cloud native serverless travel application with multiple Oracle Functions in Java, Python, and Node.js. You need to build and deploy these functions to a single application named travel-app. Which command will help you complete this task successfully?
- A. fn deploy--app travel-app --all
- B. fn app --app travel-app deploy --ext java pyljs
- C. fn function deploy app travel-app--all
- D. fn app deploy --app travel-app --all
Answer: A
Explanation:
The correct answer is: fn deploy --app travel-app --all Explanation:: To build and deploy multiple Oracle Functions as part of a single application named "travel-app," you can use the fn deploy command with the appropriate options. The command fn deploy --app travel-app --all is the correct syntax. Here's what each part of the command does: fn deploy: This command is used to deploy functions and applications in Oracle Functions. --app travel-app: This option specifies the application name as "travel-app," indicating that you want to deploy functions to this application. --all: This option indicates that you want to deploy all the functions within the application. By using fn deploy --app travel-app --all, you can build and deploy all the functions in your travel application across different programming languages (Java, Python, and Node.js) to the "travel-app" application in Oracle Functions.
NEW QUESTION # 34
What are the TWO main reasons you would choose to implement a serverless architecture? (Choose two.)
- A. Automatic horizontal scaling
- B. Improved in-function state management
- C. Reduced operational cost
- D. Easier to run long-running operations
- E. No need for integration testing
Answer: A,C
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 # 35
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