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Oracle 1z0-1084-26 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Monitoring & Troubleshooting Cloud Native Applications	10%	- Centralized logging and metrics collection - Troubleshooting containerized and serverless workloads - Application performance monitoring and tracing
Topic 2: Cloud Native Fundamentals	11%	- OCI developer services and tools overview - Cloud-native principles and microservices architecture - DevOps concepts and CI/CD workflows
Topic 3: Testing and Securing Cloud Native Applications	13%	- Application security best practices - Testing strategies and secure deployment configurations - Secrets management with OCI Vault
Topic 4: Cloud Native Applications and Containerization	33%	- Oracle Container Registry (OCIR) usage - Deployment and management with Oracle Kubernetes Engine (OKE) - Building containerized applications with Docker
Topic 5: Leveraging Serverless Technologies for Cloud Native Development	33%	- Oracle Functions development and management - API-driven architectures using API Gateway - Event-driven architecture with OCI Events, Streaming, and Queue

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Oracle Cloud Infrastructure Developer Professional Sample Questions (Q83-Q88):

NEW QUESTION # 83
Which statement best describes the term " cloud native " ?

A. Cloud native refers to the process of migrating applications from on-premises infrastructure to the cloud.
B. Cloud native refers to the use of cloud-based development tools to build traditional on-premises applications.
C. Cloud native refers to the design and deployment of applications that are optimized for cloud infrastructure.
D. Cloud native refers to the use of cloud infrastructure to run traditional on-premises applications.

Answer: C

Explanation:
Cloud native is the software approach of building, deploying, and managing modern applications in cloud computing environments3. Cloud native apps are designed and built to exploit the scale, elasticity, resiliency, and flexibility the cloud provides4. Cloud native technologies support fast and frequent changes to applications without impacting service delivery, providing adopters with an innovative, competitive advantage3. Therefore, cloud native refers to the design and deployment of applications that are optimized for cloud infrastructure. Verified References: What is Cloud Native? - Everything you need to know, What is Cloud Native?| Microsoft Learn

NEW QUESTION # 84
You are designing the persistence layer for a multi-service financial application where each microservice must completely isolate its private persistent data to enforce a bounded context. Which database configuration strategy should you implement within a multi-tenant Oracle Database to satisfy this requirement with the lowest operational overhead?

A. Assign a dedicated virtual machine DB system to each individual microservice.
B. Deploy a shared database schema with row-level security for all microservices.
C. Create a single container database (CDB) with shared tables for all microservices.
D. Provision a single pluggable database (PDB) for each individual microservice.

Answer: D

Explanation:
Oracle specifically recommends the multitenant database model for microservices because multiple Pluggable Databases can reside within one Container Database while retaining logical isolation. Oracle ' s microservices architecture guidance identifies PDBs as a strong persistence choice forbounded-context isolation, security, and high availability. Allocating a PDB per microservice isolates that service ' s private database objects while avoiding the infrastructure and operational overhead of provisioning an entire VM database system for every service. Shared schemas or shared tables weaken service autonomy and create tight coupling between bounded contexts. Because a CDB can host multiple isolated PDBs while sharing common database infrastructure and administration, option B best combines isolation with operational efficiency.

NEW QUESTION # 85
You are building a secure containerized application on Container Engine for Kubernetes (OKE) that must access OCI resources securely using OKE Workload Identity. Which cluster type must you select during creation to enable support for OKE Workload Identity?

A. Dedicated cluster
B. Enhanced cluster
C. Autonomous cluster
D. Basic cluster

Answer: B

Explanation:
OKE Workload Identity is anenhanced-cluster capability. Oracle ' s current Kubernetes Engine documentation explicitly lists workload identity as supported by Enhanced clusters and not supported by Basic clusters.
Workload Identity enables IAM policies to authorize individual Kubernetes workloads according to attributes such as cluster, namespace, and service account, avoiding broader permissions inherited from worker-node instance principals. Basic clusters support standard Kubernetes and OKE functionality but exclude enhanced capabilities including Workload Identity, virtual nodes, self-managed nodes, and advanced cluster add-on management. "Dedicated cluster" and "Autonomous cluster" are not the OKE cluster types used for this feature classification. Therefore, an application architecture requiring OKE Workload Identity must use an Enhanced cluster, making option A correct.

NEW QUESTION # 86
Which statement accurately describes the Oracle Cloud Infrastructure (OCI) Load Balancer integration with OCI Container Engine for Kubernetes (OKE)?

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

Answer: A

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 # 87
Which statement is NOT valid regarding context variables used for dynamic backend routing in Oracle Cloud Infrastructure API Gateway?

A. The context variable request.query[ < key > ] can be used to dynamically select a backend based on the value of a specific query parameter in the incoming request.
B. The context variable request.auth[ < key > ] can be used to dynamically select a backend based on claims returned by an authorizer function or contained in a JWT.
C. The context variable request.body[ < key > ] can be used to dynamically select a backend based on parsing specific key-value fields from an incoming JSON payload.
D. The context variable request.headers[ < key > ] can be used to dynamically select a backend based on the value of a specific HTTP header in the incoming request.

Answer: C

Explanation:
Oracle API Gateway documents the context-variable selectors available for dynamic backend routing.
Supported selectors include request.auth[ < key > ], request.headers[ < key > ], request.host, request.path[ < key > ], request.query[ < key > ], request.subdomain[ < key > ], and usage-plan information. Therefore, headers, authentication claims, and query parameters can all participate directly in backend-selection rules.
Although API Gateway can expose the request body to amulti-argument authorizer function, Oracle does not list request.body[ < key > ] as a supported selector for dynamic backend routing. Its presence in that separate authorizer context does not make it a dynamic-routing selector capable of parsing arbitrary JSON fields.
Consequently, A, B, and C describe supported routing context variables, while D incorrectly extends the routing model to request-body key selection.

NEW QUESTION # 88
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