PASS GUARANTEED ORACLE - 1Z0-1084-24 - ORACLE CLOUD INFRASTRUCTURE 2024 DEVELOPER PROFESSIONAL–HIGH PASS-RATE EXAM SIMULATOR FEE

Pass Guaranteed Oracle - 1z0-1084-24 - Oracle Cloud Infrastructure 2024 Developer Professional–High Pass-Rate Exam Simulator Fee

Pass Guaranteed Oracle - 1z0-1084-24 - Oracle Cloud Infrastructure 2024 Developer Professional–High Pass-Rate Exam Simulator Fee

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Oracle 1z0-1084-24 Exam Syllabus Topics:

TopicDetails
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
  • 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
  • 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 4
  • 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 5
  • 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.

Oracle Cloud Infrastructure 2024 Developer Professional Sample Questions (Q95-Q100):

NEW QUESTION # 95
Which is ONE of the differences between a microservice and a serverless function?

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

Answer: D

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 # 96
A Docker image consists of one or more layers, each of which represents a Dockerfile instruction. The layers are stacked and each one is a delta of the changes from the previous layer. What permission is associated with these layers?

  • A. write once
  • B. read only
  • C. read mostly
  • D. write only
  • E. movable

Answer: B

Explanation:
The correct answer is: "read only." The layers of a Docker image are read-only. Once a layer is created, it cannot be modified. Each layer represents a Dockerfile instruction, and it is stacked on top of the previous layer, forming a stack of immutable layers. These layers are designed to be read-only to ensure consistency and integrity of the image. When a Docker image is built, each instruction in the Dockerfile creates a new layer. Each layer represents the changes made by that instruction relative to the previous layer. The layers are stacked on top of each other to form the complete image. This layer-based approach allows for efficient storage and distribution of Docker images. Because the layers are read-only, any changes or modifications to the image result in the creation of new layers rather than modifying the existing ones. This immutability ensures that each layer remains intact and preserves the integrity of the image. It also enables Docker's caching mechanism, where previously built layers can be reused if the corresponding instructions haven't changed, speeding up the image build process. The other options mentioned, such as "write only," "write once," "movable," and "read mostly," do not accurately describe the permission associated with Docker image layers. Docker image layers are specifically designed to be read-only.


NEW QUESTION # 97
Which testing strategy achieves high velocity of deployments and releases of cloud native applications?
(Choose the best answer.)

  • A. A/B testing
  • B. Penetration testing
  • C. Automated testing
  • D. Integration testing

Answer: C

Explanation:
The testing strategy that achieves high velocity of deployments and releases of cloud native applications is
"Automated testing." Automated testing involves the use of automated tools and frameworks to execute tests, validate functionality, and detect issues or bugs in an application. By automating the testing process, developers and DevOps teams can rapidly test and validate code changes, ensuring that new features and updates are functioning correctly before being deployed to production. This approach helps increase the speed and efficiency of the testing process, allowing for faster and more frequent deployments of cloud native applications.


NEW QUESTION # 98
Which command is used to get a Docker image from Oracle Cloud Infrastructure Registry (OCIR) to the client machine?

  • A. docker pull <tenancy-namespace>/<region-key>.ocir.io/<repo-name>: <tag>
  • B. docker pull <region-key>.ocir.io/<tenancy-namespace>/<repo-name>: <tag>
  • C. docker fetch <region-key>.ocir.io/<tenancy-namespace>/<repo-name>:<tag>
  • D. docker fetch <tenancy-namespace>/<region-key>.ocir.io/<repo-name>:<tag>

Answer: B

Explanation:
To pull a Docker image from OCI Registry to the client machine, you need to use the docker pull command with the following syntax1: docker pull <region-key>.ocir.io/<tenancy-namespace>/<repo-name>:<tag> where:
* <region-key> is the key for the OCI Registry region you're using. For example, iad. See Availability by Region1.
* ocir.io is the OCI Registry name.
* <tenancy-namespace> is the auto-generated Object Storage namespace string of the tenancy that owns the repository from which you want to pull the image (as shown on the Tenancy Information page)1.
* <repo-name> is the name of the repository that contains the image you want to pull.
* <tag> is the tag of the image you want to pull.


NEW QUESTION # 99
You are a developing a microservices application that will be a consumer of the Oracle Cloud Infrastructure (OCI) Streaming service. Which API method should you use to read and process a stream?

  • A. ProcessStream
  • B. GetStream
  • C. GetMessages
  • D. ReadMessages
  • E. ReadStream

Answer: C

Explanation:
The correct API method to read and process a stream in the Oracle Cloud Infrastructure (OCI) Streaming service is "GetMessages". When consuming messages from a stream in OCI Streaming, you use the
"GetMessages" API method. This method allows you to retrieve a batch of messages from the stream for processing. You can specify parameters such as the number of messages to retrieve, the maximum size of the messages, and the timeout for the request. By using the "GetMessages" API method, you can retrieve messages from the stream and then process them in your microservices application. This allows you to consume and handle the data in real-time as it becomes available in the stream. The "GetMessages" method provides flexibility in how you consume and process the messages, enabling you to implement custom logic and workflows based on your specific application requirements.


NEW QUESTION # 100
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