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Oracle 1Z0-1084-25 Reliable Braindumps: Oracle Cloud Infrastructure 2025 Developer Professional - ExamBoosts Ensures you a Easy Studying Experience

The Oracle Cloud Infrastructure 2025 Developer Professional certification exam is one of the top-rated career advancement 1Z0-1084-25 certifications in the market. This Oracle Cloud Infrastructure 2025 Developer Professional certification exam has been inspiring candidates since its beginning. Over this long period, thousands of Oracle Cloud Infrastructure 2025 Developer Professional exam candidates have passed their 1Z0-1084-25 Certification Exam and now they are doing jobs in the world's top brands.

Oracle 1Z0-1084-25 Exam Syllabus Topics:

Topic
Details

Topic 1

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 2

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 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

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.

Topic 5

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.

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Oracle Cloud Infrastructure 2025 Developer Professional Sample Questions (Q62-Q67):

NEW QUESTION # 62
Which TWO statements are true for serverless computing and serverless architectures? (Choose two.)

A. Serverless function state should never be stored externally.
B. Long running tasks are perfectly suited for serverless.
C. Application DevOps team is responsible for scaling.
D. Applications running on a FaaS (Functions as a Service) platform.
E. Serverless function execution is fully managed by third party.

Answer: D,E

Explanation:
The two true statements for serverless computing and serverless architectures are: Applications running on a FaaS (Functions as a Service) platform: Serverless architectures typically involve running code in the form of functions on a serverless platform. These functions are event-driven and executed in response to specific triggers or events. Serverless function execution is fully managed by a third party: In serverless computing, the cloud provider takes care of the infrastructure management and resource provisioning. The execution of serverless functions is handled automatically by the platform, relieving developers from the responsibility of managing servers or infrastructure. It's important to note that long running tasks are not typically suited for serverless architectures due to the event-driven nature of serverless functions. Also, while serverless functions may have state, it is recommended to avoid external storage dependencies and instead leverage stateless functions whenever possible. Additionally, scaling in serverless architectures is typically handled automatically by the platform, rather than being the responsibility of the application DevOps team.

NEW QUESTION # 63
A developer has created another version of a microservice and wants 10% of the traffic to flow towards it for testing purposes. The application is already configured using OCI (Oracle Cloud Infrastructure) Service Mesh. Which of the following steps is the right approach to achieve this goal?

A. Create a new Kubernetes deployment for the new version of the microservice and set the traffic splitting percentage to 10% in the Kubernetes service manifest.
B. Use Kubernetes HPA (Horizontal Pod Autoscaler) to scale the new version of the microservice to handle 10% of the traffic automatically.
C. Create a new entry in the routeRules field of the virtual service route table manifest to configure traffic splitting between the old and new versions of the microservice and set the percentage to 10%.
D. Create a new entry in the routeRules field of the ingress gateway route table manifest to configure traffic splitting between the old and new versions of the microservice and set the percentage to 10%.

Answer: C

NEW QUESTION # 64
As a Cloud Native developer, you develop two services in Node.js and deploy them to two different Container Engine for Kubernetes (OKE) clusters that use the same Virtual Cloud Network (VCN). Your security team wants to analyze the network communication between them. How can this requirement be met in the most cost-effective way?

A. Use the OCI Logging service and enable VCN flow logs.
B. Deploy Wireshark and intercept the packets.
C. Rewrite the application and send the application logs to an outside log aggregator.
D. Deploy a third-party logging service and aggregate the network flow logs.

Answer: A

Explanation:
The best answer is: "Use the OCI Logging service and enable VCN flow logs." To meet the requirement of analyzing network communication between two services deployed in different Container Engine for Kubernetes (OKE) clusters within the same Virtual Cloud Network (VCN) in a cost-effective way, you can use the OCI Logging service and enable VCN flow logs. The VCN flow logs feature in OCI allows you to capture and log network traffic information for your VCN resources. By enabling VCN flow logs, you can monitor and analyze the network communication between your services without the need for additional third-party logging services or tools. Enabling VCN flow logs provides visibility into the network traffic, including source and destination IP addresses, ports, protocols, and other relevant details. This information can be collected and stored in the OCI Logging service, where you can analyze and gain insights into the network communication patterns between your services. By leveraging the built-in capabilities of the OCI Logging service and enabling VCN flow logs, you can fulfill the security team's requirement for network communication analysis in a cost-effective manner. This eliminates the need for deploying additional third-party logging services or tools, reducing complexity and potential costs associated with their setup and maintenance. The other options mentioned are not the most cost-effective or suitable solutions for analyzing network communication in this scenario: Deploying a third-party logging service and aggregating the network flow logs would introduce additional costs and complexity, which may not be necessary considering the built-in capabilities provided by OCI. Rewriting the application to send logs to an outside log aggregator would not directly address the requirement of analyzing network communication between the services. It would focus more on application-level logs rather than network-level analysis. Deploying Wireshark and intercepting packets would require additional infrastructure setup and maintenance, which may not be the most cost-effective approach for network analysis in this scenario.

NEW QUESTION # 65
Which TWO are part of the Cloud Native Computing Foundation (CNCF) container runtime? (Choose two.)

A. runc
B. rkt-o
C. containerd
D. getcd

Answer: A,C

Explanation:
The two components that are part of the Cloud Native Computing Foundation (CNCF) container runtime are: containerd: containerd is an open-source container runtime that provides a runtime environment for containers, including managing container images, executing containers, and handling container lifecycle events. It is designed to be lightweight and extensible, providing the necessary functionality to run containers efficiently. runc: runc is a lightweight container runtime that serves as a reference implementation of the Open Container Initiative (OCI) runtime specification. It is responsible for launching and managing containers based on OCI specifications, including handling container isolation, namespaces, cgroups, and other low-level container operations. These two components, containerd and runc, are widely used in the container ecosystem and are part of the CNCF's efforts to promote and develop open-source technologies for cloud-native computing.

NEW QUESTION # 66
Which of the following is defined as a configurable, low-latency infrastructure layer that controls the interaction between a network of microservices? (Choose the best answer.)

A. Kubernetes
B. CI/CD Pipelines
C. Containers
D. DevOps
E. Service Mesh

Answer: E

Explanation:
The correct answer is "Service Mesh." A service mesh is a configurable, low-latency infrastructure layer that controls the interaction between a network of microservices. It provides functionalities such as service discovery, load balancing, traffic management, security, and observability for microservices-based applications. It is designed to improve communication and manage the complex interactions between services within a distributed system. Service mesh frameworks like Istio and Linkerd are commonly used to implement service mesh architecture.

NEW QUESTION # 67
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