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Oracle 1z0-1084-26 Exam Syllabus Topics:

Section	Weight	Objectives
Cloud Native Fundamentals	11%	- DevOps concepts and CI/CD workflows - OCI developer services and tools overview - Cloud-native principles and microservices architecture
Cloud Native Applications and Containerization	33%	- Deployment and management with Oracle Kubernetes Engine (OKE) - Oracle Container Registry (OCIR) usage - Building containerized applications with Docker
Monitoring & Troubleshooting Cloud Native Applications	10%	- Application performance monitoring and tracing - Troubleshooting containerized and serverless workloads - Centralized logging and metrics collection
Testing and Securing Cloud Native Applications	13%	- Secrets management with OCI Vault - Application security best practices - Testing strategies and secure deployment configurations
Leveraging Serverless Technologies for Cloud Native Development	33%	- Event-driven architecture with OCI Events, Streaming, and Queue - API-driven architectures using API Gateway - Oracle Functions development and management

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Oracle Cloud Infrastructure Developer Professional Sample Questions (Q158-Q163):

NEW QUESTION # 158
Which statement is NOT valid regarding autoscaling configurations in Oracle Cloud Infrastructure Container Engine for Kubernetes (OKE)?

A. The Kubernetes Vertical Pod Autoscaler is restricted to managed node pools and is not supported for adjusting resources on virtual node pools.
B. The Kubernetes Metrics Server can be deployed as a standalone program to collect resource metrics on both virtual node pools and managed node pools.
C. The Kubernetes Horizontal Pod Autoscaler is supported for adjusting the replica count of deployments running on both virtual node pools and managed node pools.
D. The Kubernetes Cluster Autoscaler can be deployed to automatically resize both managed node pools and virtual node pools when pod resource demands change.

Answer: D

Explanation:
Oracle explicitly lists Kubernetes Cluster Autoscaler among the deploymentsnot supported when using OKE virtual nodes. Virtual nodes provide a serverless data-plane model in which Oracle manages the underlying compute capacity, so customers do not resize a conventional virtual-node pool through Kubernetes Cluster Autoscaler. Cluster Autoscaler remains applicable to managed node pools, where worker-node capacity can be increased or decreased according to scheduling demand. Oracle also identifies Vertical Pod Autoscaler as unsupported on virtual nodes, while Metrics Server is supported through a deployment method adapted for virtual nodes. Horizontal Pod Autoscaler operates at the pod/deployment level and can adjust replica counts without requiring customers to resize virtual-node infrastructure. Therefore, B is the NOT valid statement because it incorrectly claims Cluster Autoscaler can resize both managed and virtual node pools.

NEW QUESTION # 159
Which statement is NOT valid regarding testing methodologies for cloud native applications?

A. API mocking allows developers to validate a service ' s logic by simulating the behavior of dependent microservices that are offline.
B. Performance testing evaluates system responsiveness under concurrent workloads to identify potential resource bottlenecks.
C. Integration testing is conducted exclusively on isolated local workstations and does not validate network-based communications.
D. Unit testing focuses on validating individual blocks of code in complete isolation from database and external API dependencies.

Answer: C

Explanation:
Statement D is NOT valid. Oracle ' s cloud application architecture guidance explicitly describes integration testing as validating interactions and data flow between components, modules, and services. In a cloud-native architecture, those interactions commonly occur through network-based APIs, service endpoints, databases, and messaging systems. Oracle recommends test environments that resemble production rather than restricting integration testing to isolated developer workstations. Unit testing does focus on individual units of code and typically isolates dependencies. API mocking can emulate unavailable dependent services, while performance testing evaluates responsiveness, scalability, and stability under varying workloads such as load and stress conditions. Therefore, the claim that integration testing is exclusively local and does not validate network communication contradicts the actual purpose of integration testing.

NEW QUESTION # 160
Which statement accurately describes the Oracle Cloud Infrastructure (OCI) Load Balancer integration with OCI Container Engine for Kubernetes (OKE)?

A. OCI Load Balancer instance must be manually provisioned for each Kubernetes service that requires traffic balancing.
B. OCI Load Balancer instance provisioning is triggered by the OCI Events service for each Kubernetes service with LoadBalancer type in the YAML configuration.
C. OKE service provisions a single OCI Load Balancer instance shared with all the Kubernetes services with LoadBalancer type in the YAML configuration.
D. OKE service provisions an OCI Load Balancer instance for each Kubernetes service with LoadBalancer type in the YAML configuration.

Answer: D

Explanation:
The statement that accurately describes the Oracle Cloud Infrastructure (OCI) Load Balancer integration with OCI Container Engine for Kubernetes (OKE) is: " OKE service provisions an OCI Load Balancer instance for each Kubernetes service with LoadBalancer type in the YAML configuration. " When you define a Kubernetes service in your YAML configuration with the LoadBalancer type, the OKE service automatically provisions an OCI Load Balancer instance specifically for that service. This Load Balancer instance is dedicated to the Kubernetes service and provides traffic balancing functionality. Each Kubernetes service that requires load balancing will have its own OCI Load Balancer instance provisioned by OKE.

NEW QUESTION # 161
As a developer, you have been tasked with implementing a microservices-based application. Which THREE technologies are best suited to accomplish the task? (Choose three.)

A. Service Mesh
B. Kubemetes
C. Terraform
D. Anomaly Detection
E. Big Data
F. Docker

Answer: A,B,F

Explanation:
The three technologies best suited for implementing a microservices-based application are: Service Mesh: A service mesh is a dedicated infrastructure layer that provides features like service discovery, load balancing, encryption, authentication, and observability for microservices. It helps in managing the communication and interactions between microservices in a scalable and secure manner. Kubernetes: Kubernetes is an open- source container orchestration platform that enables the deployment, scaling, and management of containerized applications. It provides features like automated scaling, service discovery, load balancing, and self-healing capabilities, which are essential for managing microservices in a distributed environment.
Docker: Docker is a popular containerization platform that allows packaging applications and their dependencies into lightweight containers. It provides a consistent and portable environment for running microservices, enabling easy deployment and scalability. Docker also facilitates isolation and resource efficiency, making it an ideal choice for deploying microservices. While Big Data, Anomaly Detection, and Terraform are valuable technologies, they are not specifically focused on enabling the implementation of microservices-based applications.

NEW QUESTION # 162
Which TWO are required to access the Oracle Cloud Infrastructure (OCI) Container Engine for Kubernetes (OKE) cluster from the kubectl CLI? (Choose two.)

A. OCI Identity and Access Management (IAM) Auth Token.
B. Install and configure the OCI CLI.
C. Tiller enabled on the OKE cluster.
D. A configured OCI API signing key pair.
E. An SSH key pair with the public key added to the cluster worker nodes.

Answer: B,D

Explanation:
The correct options are: A configured OCI API signing key pair: The API signing key pair is used for authentication and authorization to access OCI resources, including the OKE cluster. The private key should be configured on your local machine to authenticate API requests. An SSH key pair with the public key added to the cluster worker nodes: This is required for secure SSH access to the worker nodes in the OKE cluster.
You need to generate an SSH key pair and add the public key to the cluster ' s worker node pool during cluster creation or update. Therefore, the correct options are having a configured OCI API signing key pair and an SSH key pair with the public key added to the cluster worker nodes.

NEW QUESTION # 163
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