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Accessible PDF Format for Oracle 1Z0-1084-25 Exam Questions

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Oracle 1Z0-1084-25 Exam Syllabus Topics:

Topic
Details

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 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

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 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.

Oracle Cloud Infrastructure 2025 Developer Professional Sample Questions (Q17-Q22):

NEW QUESTION # 17
Which TWO statements are correct regarding Docker images and containers? (Choose two.)

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

Answer: A,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 # 18
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 API signing key to complete the authentication via Docker CLI.
B. Generate an auth token to complete the authentication via Docker CLI.
C. Assign a tag via Docker CLI to the image.
D. Generate an OCI tag namespace in your repository.
E. Assign an OCI defined tag via OCI CLI to the image.

Answer: B,C

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 # 19
Which is ONE of the differences between a microservice and a serverless function?

A. Microservices are triggered by events while serverless functions are not.
B. Microservices always use a data store while serverless functions never use a data store.
C. Microservices are used for long running operations while serverless functions are used for short running operations.
D. Microservices are stateless while serverless functions are stateful.

Answer: C

Explanation:
The correct answer is: Microservices are used for long running operations while serverless functions are used for short running operations. One of the key differences between microservices and serverless functions is the duration of their execution. Microservices are typically designed to handle long-running operations and may continuously run and process requests as part of a larger system. They are often deployed and managed as long-lived services. On the other hand, serverless functions are designed to handle short-lived operations or tasks that execute in response to specific events or triggers. They are event-driven and execute only when invoked, providing a lightweight and ephemeral computing model. Serverless functions are often used for executing small, isolated pieces of code without the need for managing infrastructure or scaling concerns. While both microservices and serverless functions can be stateless or stateful depending on the specific implementation, the key distinction lies in the typical duration and execution pattern of these components within an application architecture.

NEW QUESTION # 20
You are developing a real-time monitoring application for a fleet of vehicles, which will be deployed on Oracle Cloud Infrastructure (OCI). You need to choose between using OCI Queue or OCI Streaming to handle the real-time data feeds from the vehicles. Based on the scenario described, which is the most appropriate choice for handling real-time data feeds?

A. OCI Streaming, because it is designed for high-volume, continuous ingestion and processing of data, making it the best choice for a fleet of vehicles
B. OCI Queue, because it provides at-least-once message delivery, which is critical for real-time monitoring applications
C. OCI Queue, because it is optimized for low-latency messaging and ideal for real-time applications
D. OCI Streaming, because it offers exactly-once message delivery, which is necessary for real-time applications

Answer: A

Explanation:
OCI Streaming is a fully managed, scalable, and durable messaging solution for ingesting continuous, high-volume streams of data that you can consume and process in real-time1. Streaming is suitable for any use case in which data is produced and processed continually and sequentially in a publish-subscribe messaging model1. Streaming can handle millions of messages per second with low latency2. Therefore, OCI Streaming is the most appropriate choice for handling real-time data feeds from a fleet of vehicles. Verified Reference: Overview of Streaming, Container Engine for Kubernetes

NEW QUESTION # 21
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 Virtual Cloud Network (VCN) segregation to control DDoS.
B. Use the OCI API Gateway service and configure rate limiting.
C. Re-write your web service and implement rate limiting.
D. Use a third party service integration to Implement DDoS attack mitigation.

Answer: B

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 # 22
......

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