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Oracle 1z0-1084-26 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Leveraging Serverless Technologies for Cloud Native Development33%- API Gateway
  • 1. Create API gateways to process traffic from API clients and route it to back-end services
    - Oracle Functions
    • 1. Develop serverless applications with Oracle Functions
      - OCI Queue
      • 1. Facilitate asynchronous messaging for microservices with OCI Queue
        - OCI Events
        • 1. Build event-driven serverless applications using OCI Events Service
          - OCI Streaming
          • 1. Create integration between systems using OCI Streaming Service
            Topic 2: Cloud Native Applications and Containerization33%- OCI Registry
            • 1. Use OCI Registry to pull and push container images
              - Oracle Kubernetes Engine
              • 1. Develop and deploy containerized applications on Oracle Kubernetes Engine
                - Docker and Containerization
                • 1. Explain Docker and the concepts around its architecture and components
                  - Container Orchestration
                  • 1. Discuss the role of container orchestration
                    Topic 3: Monitoring & Troubleshooting Cloud Native Applications10%- OCI Logging
                    • 1. Use OCI Logging Service to enable, manage, and search logs
                      - OCI Monitoring
                      • 1. Utilize OCI Monitoring Service to view metrics
                        - Monitoring, Logging, and Tracing
                        • 1. Perform tasks around monitoring, logging, and tracing
                          Topic 4: Testing and Securing Cloud Native Applications13%- Cloud Native Testing
                          • 1. Analyze and evaluate cloud native testing methodologies and develop effective strategies for testing cloud native applications
                            - Cloud Native Security
                            • 1. Apply security measures to overcome challenges with cloud native development
                              - OCI Vault
                              • 1. Use OCI Vault to securely store and manage encryption keys and sensitive configuration information
                                Topic 5: Cloud Native Fundamentals11%- Microservices Architecture
                                • 1. Explain the microservices architecture and discuss the design methodology of microservices
                                  - Cloud Native Principles
                                  • 1. Explain the fundamentals of cloud native and discuss the key pillars of cloud native development

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                                    Oracle Cloud Infrastructure Developer Professional Sample Questions (Q54-Q59):

                                    NEW QUESTION # 54
                                    Which statement is NOT valid regarding OCI Identity and Access Management (IAM) policies written for OKE Workload Identity?

                                    Answer: B

                                    Explanation:
                                    Oracle ' s documented OKE Workload Identity policy pattern is Allow any-user to < verb > < resource > in < location > where all {...} with conditions identifying request.principal.type= ' workload ' , the Kubernetes namespace, service account, and cluster OCID. Crucially, Oracle defines < location > as either the entire tenancyor a specific compartment. Oracle even provides examples granting a workload access only to resources in a named compartment. Consequently, C is false because workload-identity policies do not have to be tenancy-wide. Options A, B, and D accurately describe the standard policy structure: any-user is narrowed through workload-specific conditions, and those conditions identify the exact OKE workload by cluster, namespace, and service account. This enables fine-grained least-privilege access without storing OCI credentials inside pods.


                                    NEW QUESTION # 55
                                    Which pattern is used to decompose a monolithic application by gradually replacing specific parts of its functionality with microservices?

                                    Answer: D

                                    Explanation:
                                    The Strangler Pattern is specifically designed for incremental modernization of a monolithic application.
                                    Oracle ' s cloud-native guidance describes it as gradually replacing portions of a monolith with microservices over time, minimizing disruption and avoiding the operational risk of a complete " big bang " rewrite. New functionality or migrated capabilities are implemented as independent services while remaining functionality continues to operate in the existing monolith. Eventually, the legacy application can be retired after its responsibilities have been progressively replaced. The Saga Pattern instead manages distributed transactions, the Sidecar Pattern places supporting functionality beside an application workload, and the Transactional Outbox Pattern provides reliable coordination between database changes and event publishing. Therefore, the pattern matching gradual monolith decomposition is the Strangler Pattern.


                                    NEW QUESTION # 56
                                    Which is ONE of the differences between a microservice and a serverless function?

                                    Answer: A

                                    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 # 57
                                    Your development team has deployed a fleet of web application servers across three fault domains in a specific compartment in OCI. To simplify operational dashboards, you must construct a single Monitoring Query Language (MQL) expression that calculates the average CPU utilization for each individual fault domain, rather than plotting each server individually. The expression must output exactly three lines, one for each fault domain, on the resulting Metrics Explorer chart.
                                    Which MQL expression correctly fulfills these requirements?

                                    Answer: B

                                    Explanation:
                                    Oracle Monitoring documents groupBy(x) specifically for aggregating metric streams according to a shared dimension. Oracle ' s own fault-domain example uses the exact expression CpuUtilization[1m].groupBy (faultDomain).mean(). The resulting chart contains one aggregated metric stream for each fault domain, which means a compartment containing three fault domains produces three lines rather than one line per Compute instance. grouping() combines all selected metric streams into a single aggregate instead of retaining separate fault-domain groups. filter(faultDomain) is not the appropriate MQL grouping operation, and split() is not the documented operator for this requirement. Because the scenario requires mean CPU utilization separately aggregated for each value of the faultDomain dimension, option B exactly matches Oracle ' s documented MQL pattern.


                                    NEW QUESTION # 58
                                    Your organization has mandated strict IAM policy isolation for microservices accessing an Oracle Cloud Infrastructure (OCI) Queue named payment-queue in a compartment named prod-payment-compartment. A producer microservice deployed on an OCI Compute instance needs to publish transaction messages into the queue, but corporate security dictates that this microservice must not have permission to view queue configurations, delete queues, or read/consume messages. You have created a dynamic group named payment- producer-dg that contains the Compute instance hosting the producer microservice.
                                    Which IAM policy statement must you write to satisfy this security requirement with the least privilege?

                                    Answer: C


                                    NEW QUESTION # 59
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