Error-Free Oracle 1z0-1084-24 Exam Questions PDF Format

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Oracle 1z0-1084-24 Exam Syllabus Topics:

Topic	Details
Topic 1	Monitoring & Troubleshooting Cloud Native Applications: This section assesses candidates' skills in monitoring and troubleshooting cloud native applications. They must utilize the OCI Monitoring service to view metrics and the OCI Logging service to manage and search logs effectively.
Topic 2	Testing and Securing Cloud Native Applications: Cloud engineers and developers are tested on their ability to analyze and evaluate cloud native testing methodologies, developing effective strategies for testing applications in a cloud-native environment.
Topic 3	Cloud Native Fundamentals: This section tests the ability of cloud developers and architects to understand the core principles of cloud native development. Candidates are expected to explain the fundamentals of cloud native and discuss the key pillars that support cloud native approaches.
Topic 4	Leveraging Serverless Technologies for Cloud Native Development: This part of the exam evaluates the ability to develop serverless applications using Oracle Functions. Candidates should be able to create API gateways to manage traffic from API clients and route it to back-end services, as well as establish integrations between systems using the OCI streaming service.
Topic 5	Cloud Native Applications and Containerization: Candidates must demonstrate their knowledge of Docker, including its architecture and components, to effectively manage containerized applications. This includes using Oracle Cloud Infrastructure Registry (OCIR) to pull and push container images.

Oracle Cloud Infrastructure 2024 Developer Professional Sample Questions (Q46-Q51):

NEW QUESTION # 46
You need to push a new Docker container image to a repository in the Oracle Cloud Infrastructure (OCI) Registry. Which mechanism must you use to provide authentication?

A. Generate an Auth Token to complete the authentication via the Docker CLI.
B. Generate an API signing key to complete the authentication via the OCI CLI.
C. Generate an Auth Token to complete the authentication via the OCI CLI.
D. Generate an API signing key to complete the authentication via the Docker CLI.

Answer: A

Explanation:
To push a new Docker container image to a repository in OCI Registry, you need to use an Auth Token to complete the authentication via the Docker CLI1. An Auth Token is a secure, auto-generated password that you can use to authenticate with OCI services such as OCI Registry1. You can generate an Auth Token in the Console by following these steps1:
* In the top-right corner of the Console, open the Profile menu and then click User settings to view the details.
* On the Auth Tokens page, click Generate Token.
* Enter a friendly description for the auth token. Avoid entering confidential information.
* Click Generate Token. The new auth token is displayed.
* Copy the auth token immediately to a secure location from where you can retrieve it later, because you won't see the auth token again in the Console.
* Close the Generate Token dialog. After generating an Auth Token, you need to log in to OCI Registry by entering docker login <region-key>.ocir.io in a terminal window on the client machine running Docker, where <region-key> corresponds to the key for the OCI Registry region you're using1. When prompted for a username, enter your username in the format <tenancy-namespace>/<username>, where
<tenancy-namespace> is the auto-generated Object Storage namespace string of your tenancy1. When prompted for a password, enter the Auth Token you copied earlier1.

NEW QUESTION # 47
You developed a microservices-based application that runs in an Oracle Cloud Infrastructure (OCI) Container Engine for Kubernetes (OKE) cluster. It has multiple endpoints that need to be exposed to the public internet.
What is the most cost-effective way to expose multiple application endpoints without adding unnecessary complexity to the application?

A. Create a separate load balancer instance for each service using the lowest 100 Mbps option.
B. Use a ClusterIP service type in Kubernetes for each of your service endpoints using a load balancer to expose the endpoints.
C. Deploy an Ingress Controller and use it to expose each endpoint with its own routing endpoint.
D. Use a NodePort service type in Kubernetes for each of your service endpoints using the node's public IP address to access the applications.

Answer: C

Explanation:
An Ingress Controller is a Kubernetes resource that provides advanced routing and load balancing for your applications running on a Kubernetes cluster1. An Ingress Controller allows you to define rules that specify how to route traffic to different services in your cluster based on the host name or path of the incoming request1. By deploying an Ingress Controller and using it to expose multiple application endpoints, you can achieve the following benefits1:
* Cost-effectiveness: You only need to create one load balancer instance per cluster, instead of one per service, which reduces the cost of exposing your applications.
* Simplicity: You only need to manage one set of routing rules for all your services, instead of configuring each service separately, which simplifies the application deployment and maintenance.
* Flexibility: You can use different types of Ingress Controllers, such as NGINX or Traefik, that offer various features and customization options for your routing needs.

NEW QUESTION # 48
Which TWO statements are correct regarding Docker images and containers? (Choose two.)

A. Only one container can be spawned from a given image at a time.
B. An image is a collection of immutable layers whereas a container is a running instance of an image.
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: B,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 # 49
You have two microservices, A and B, running in production. Service A relies on APIs from service B. You want to test changes to service A without deploying all of its dependencies, which include service B. Which approach should you take to test service A?

A. There is no need to explicitly test APIs.
B. Test against production APIs.
C. Test using API mocks.
D. Test the APIs in private environments.

Answer: C

Explanation:
API mocking is a technique that simulates the behavior of real APIs without requiring the actual implementation or deployment of the dependent services1. API mocking allows you to test changes to service A without deploying all of its dependencies, such as service B, by creating mock responses for the APIs that service A relies on1. API mocking has several benefits, such as1:
* Faster testing: You can test your service A without waiting for service B to be ready or available, which reduces the testing time and feedback loop.
* Isolated testing: You can test your service A in isolation from service B, which eliminates the possibility of external factors affecting the test results or causing errors.
* Controlled testing: You can test your service A with different scenarios and edge cases by creating mock responses that mimic various situations, such as success, failure, timeout, etc.

NEW QUESTION # 50
What are the TWO main reasons you would choose to implement a serverless architecture? (Choose two.)

A. No need for integration testing
B. Automatic horizontal scaling
C. Reduced operational cost
D. Improved in-function state management
E. Easier to run long-running operations

Answer: B,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 # 51
......

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ERROR-FREE ORACLE 1Z0-1084-24 EXAM QUESTIONS PDF FORMAT

Error-Free Oracle 1z0-1084-24 Exam Questions PDF Format