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Go With Oracle 1z0-1084-24 PDF Questions [2025] For Instant Success

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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

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 3

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 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

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.

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Oracle Cloud Infrastructure 2024 Developer Professional Sample Questions (Q90-Q95):

NEW QUESTION # 90
You have a containerized application that requires access to an Autonomous Transaction Processing (ATP) Database. Which option is NOT valid when the container is deployed in an OKE cluster? (Choose the best answer.)

A. Create a Kubernetes secret with contents from the instance Wallet files. Use this secret to create a volume mounted to the appropriate path in the application deployment manifest.
B. Install the Oracle Cloud Infrastructure Service Broker on the Kubernetes cluster and deploy ServiceInstance and ServiceBinding resources for ATP. Then use the specified binding name as a volume in the application deployment manifest.
C. Use Kubernetes secrets to configure environment variables on the container with ATP instance OCID, and OCI API credentials. Then use the CreateConnection API endpoint from the service runtime.
D. Enable Oracle REST Data Services for the required schemas and connect via HTTPS.

Answer: B

Explanation:
The option that is not valid for connecting to an Autonomous Transaction Processing (ATP) Database from a container in Kubernetes is: Install the Oracle Cloud Infrastructure Service Broker on the Kubernetes cluster and deploy ServiceInstance and ServiceBinding resources for ATP. Then use the specified binding name as a volume in the application deployment manifest. The Oracle Cloud Infrastructure Service Broker is not used for connecting to an ATP Database from a container in Kubernetes. The Service Broker is used for provisioning and managing cloud services directly from Kubernetes. It allows you to create and manage instances of OCI services using Kubernetes resources like ServiceInstance and ServiceBinding. To connect to an ATP Database from a container in Kubernetes, you can use one of the following valid options: Enable Oracle REST Data Services for the required schemas and connect via HTTPS. This involves enabling and configuring Oracle REST Data Services (ORDS) for the schemas in the ATP Database. You can then connect to the ATP Database using RESTful endpoints provided by ORDS. Use Kubernetes secrets to configure environment variables on the container with ATP instance OCID and OCI API credentials. Then use the CreateConnection API endpoint from the service runtime. This approach involves configuring the necessary environment variables on the container to provide the ATP instance OCID and OCI API credentials. The application can then use the OCI SDK or REST API (such as the CreateConnection endpoint) to establish a connection to the ATP Database. Create a Kubernetes secret with contents from the instance Wallet files. Use this secret to create a volume mounted to the appropriate path in the application deployment manifest. This method involves creating a Kubernetes secret that contains the necessary credentials from the ATP Database's instance wallet files. The secret can then be mounted as a volume in the application deployment, allowing the application to access the required credentials for connecting to the ATP Database. Both options 1 and 3 provide valid approaches for connecting to an ATP Database from a container in Kubernetes, depending on the specific requirements and preferences of the application.

NEW QUESTION # 91
A company is developing a new application that needs to process transactions in real time. The company wants to ensure that all transactions are processed in order and that no transaction is lost. Which of these is a correct strategy for leveraging OCI Queue in this scenario?

A. Use a single queue to process all transactions.
B. Use a separate queue for each type of transaction.
C. Use a separate queue for each application instance.
D. Use a priority queue to prioritize requests.

Answer: A

Explanation:
OCI Queue is a service for enabling asynchronous (decoupled) communication in a serverless manner3. Queue handles high-volume transactional data that requires independent processing without loss or duplication3. Queue supports ordering of messages within a queue by using the FIFO (first-in-first-out) delivery option3. Therefore, using a single queue to process all transactions ensures that all transactions are processed in order and that no transaction is lost. Verified References: Overview of Queue

NEW QUESTION # 92
In the DevOps lifecycle, what is the difference between continuous delivery and continuous deployment?
(Choose two.)

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

Answer: A,C

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 # 93
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 # 94
Which option best defines microservices?

A. An open-source system for automating deployment, scaling, and management of containerized applications.
B. A statically typed and compiled language.
C. A finely tuned piece of software that performs a single or small collection of tasks.
D. An organized collection of structured information or data, typically stored electronically in a computer system.

Answer: C

Explanation:
The correct answer is: "A finely tuned piece of software that performs a single or small collection of tasks." Microservices are a software architectural approach where a system is decomposed into small, independent services that are responsible for performing a specific set of tasks. Each microservice is designed to be focused, finely tuned, and highly cohesive, handling a single or a small collection of related tasks. This granularity allows for better scalability, maintainability, and flexibility in building complex applications. The other options provided do not accurately define microservices: An open-source system for automating deployment, scaling, and management of containerized applications refers to a container orchestration tool like Kubernetes, which can be used to manage microservices but is not a definition of microservices itself. A statically typed and compiled language describes a type of programming language characteristic and is not specific to the concept of microservices. An organized collection of structured information or data, typically stored electronically in a computer system is a definition of a database or data storage system and is unrelated to microservices.

NEW QUESTION # 95
......

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Ken Bell Ken Bell

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