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Oracle 1z0-1084-24 Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	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.
Topic 3	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 4	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 5	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.

>> 1z0-1084-24 Question Explanations <<

1z0-1084-24 real questions - Testking real exam - Oracle Cloud Infrastructure 2024 Developer Professional VCE

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Oracle Cloud Infrastructure 2024 Developer Professional Sample Questions (Q73-Q78):

NEW QUESTION # 73
When developing microservices, each one can be developed in the language of choice. Which term describes this type of development? (Choose the best answer.)

A. Agile
B. DevOps
C. Distributed
D. Polyglot

Answer: C

Explanation:
The term that describes developing microservices in different languages of choice is "Polyglot." In a polyglot architecture, each microservice is developed using the most appropriate programming language or technology stack for its specific requirements. This approach allows developers to leverage the strengths of different languages and frameworks, enabling them to use the most suitable tool for each microservice while still maintaining interoperability between services.

NEW QUESTION # 74
How are cloud native application versions deployed to an OKE cluster when using a blue/green deployment strategy?

A. New application versions are deployed in minor increments to a select group of people.
B. Both old and new application versions are deployed to production at the same time.
C. Current applications are slowly replaced with new application versions.

Answer: B

Explanation:
Blue/Green deployment strategy allows releasing a new version of an application using two identical environments where one of them is active at a given time. The current version of the application is provisioned on the active environment, whereas the new version gets deployed to the standby environment1. The traffic is shifted from the active to the standby environment by updating the ingress resource2. Therefore, both old and new application versions are deployed to production at the same time, but only one of them receives the traffic. Verified References: Announcing new deployment strategies for OCI DevOps Service, Blue-Green OKE Deployment

NEW QUESTION # 75
Which term describes a group formed by a master machine and a worker machine in a Kubernetes architecture?

A. Deployment
B. Pod
C. Container
D. Node
E. Cluster

Answer: E

Explanation:
The term that describes a group formed by a master machine and a worker machine in a Kubernetes architecture is "Cluster". A cluster in Kubernetes consists of one or more master machines and multiple worker machines (also known as nodes). The master machine manages the overall control plane and orchestrates the deployment and management of containers on the worker nodes. The worker nodes are responsible for running the containers and executing the workloads. The cluster is the fundamental unit of organization and management in Kubernetes, providing the infrastructure and resources to run and manage containerized applications. It ensures high availability, scalability, and fault tolerance for the applications deployed within it.

NEW QUESTION # 76
In the DevOps lifecycle, what is the difference between continuous delivery and continuous deployment?
(Choose two.)

A. Continuous delivery requires more automatic linting, while continuous deployment testing must be run manually.
B. Continuous delivery is a process that initiates deployment manually, while continuous deployment is based on automating the deployment process.
C. Continuous delivery involves automation of developer tasks, while continuous deployment involves manual operational tasks.
D. Continuous delivery utilizes automatic deployment to a development environment, while continuous deployment involves automatic deployment to a production environment.

Answer: B,D

Explanation:
The two correct differences between continuous delivery and continuous deployment in the DevOps lifecycle are: Continuous delivery is a process that initiates deployment manually, while continuous deployment is based on automating the deployment process. In continuous delivery, the software is ready for deployment, but the decision to deploy is made manually by a human. On the other hand, continuous deployment automates the deployment process, and once the software passes all the necessary tests and quality checks, it is automatically deployed without human intervention. Continuous delivery involves automatic deployment to a development environment, while continuous deployment involves automatic deployment to a production environment. In continuous delivery, the software is automatically deployed to a development or staging environment for further testing and validation. However, the actual deployment to the production environment is performed manually. In continuous deployment, the software is automatically deployed to the production environment, eliminating the need for manual intervention in the deployment process. These differences highlight the level of automation and human involvement in the deployment process between continuous delivery and continuous deployment approaches in the DevOps lifecycle.

NEW QUESTION # 77
What are the TWO main reasons you would choose to implement a serverless architecture? (Choose two.)

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

Answer: C,E

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 # 78
......

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TAKE YOUR ORACLE 1Z0-1084-24 EXAM PREPARE ON THE GO WITH PDF FORMAT

Take Your Oracle 1z0-1084-24 Exam Prepare on the Go with PDF Format