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Oracle 1z0-1084-26 Exam Syllabus Topics:

SectionWeightObjectives
Leveraging Serverless Technologies for Cloud Native Development33%- API Gateway
  • 1. Route API traffic to backend services
    • 2. Process traffic from API clients
      - Oracle Functions
      • 1. Develop serverless applications with Oracle Functions
        - OCI Events
        • 1. Build event-driven serverless applications
          - OCI Queue
          • 1. Implement asynchronous messaging for microservices
            - OCI Streaming
            • 1. Use streaming for serverless and managed application architectures
              • 2. Integrate systems using OCI Streaming
                Cloud Native Applications and Containerization33%- Oracle Cloud Infrastructure Registry
                • 1. Pull container images from OCIR
                  • 2. Push container images to OCIR
                    - Docker and Containerization
                    • 1. Containerization concepts
                      • 2. Docker architecture and components
                        - Container Orchestration
                        • 1. Role of container orchestration
                          • 2. Deploy containerized applications on Oracle Kubernetes Engine
                            Monitoring and Troubleshooting Cloud Native Applications10%- OCI Monitoring
                            • 1. Use OCI Monitoring to view metrics
                              - Monitoring, Logging, and Tracing
                              • 1. Perform monitoring, logging, and tracing tasks
                                • 2. Troubleshoot cloud native applications
                                  - OCI Logging
                                  • 1. Search and analyze logs
                                    • 2. Enable and manage logs
                                      Testing and Securing Cloud Native Applications13%- Cloud Native Testing
                                      • 1. Cloud native testing methodologies
                                        • 2. Testing strategies for cloud native applications
                                          - Cloud Native Security
                                          • 1. Apply security measures for cloud native development
                                            • 2. Use OCI Vault to securely manage encryption keys
                                              • 3. Manage sensitive configuration information
                                                Cloud Native Fundamentals11%- Microservices Architecture
                                                • 1. Microservices architecture
                                                  • 2. Microservices design methodology
                                                    - Cloud Native Principles
                                                    • 1. Key pillars of cloud native development
                                                      • 2. Fundamentals of cloud native development

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                                                        Oracle Cloud Infrastructure Developer Professional Sample Questions (Q17-Q22):

                                                        NEW QUESTION # 17
                                                        Your enterprise is migrating a synchronous order fulfillment system to a distributed microservices architecture on Oracle Cloud Infrastructure. The development team originally implemented a Two-Phase Commit protocol to handle transactions spanning multiple databases, but it caused severe performance bottlenecks due to extended resource locking periods. You must now design a decentralized transaction strategy that processes steps as a sequence of independent local transactions, publishes events to coordinate subsequent steps, and executes compensating actions if a step fails. Which transaction design pattern should you implement to meet these requirements?

                                                        Answer: B

                                                        Explanation:
                                                        The Saga Design Pattern is specifically intended for distributed transactions across microservices without the extended locking associated with Two-Phase Commit. Oracle explains that a Saga decomposes a business transaction into a sequence of independent local transactions. After completing its local operation, each service publishes an event or message that triggers the next participant. If a subsequent step fails, corresponding compensating transactions reverse previously completed operations and restore consistent business state. This approach shortens lock duration and supports eventual consistency across separate databases. Transactional Outbox solves reliable database-update-and-message-publishing coordination but does not by itself manage the entire distributed transaction sequence. Therefore, the required pattern is the Saga Design Pattern.


                                                        NEW QUESTION # 18
                                                        You developed a microservices-based application that runs in an Oracle Cloud Infrastructure (OCI) Container Engine for Kubernetes (OKE) cluster. Your security team wants to use SSL termination for this application.
                                                        What should you do to create a secure SSL termination for this application using the fewest steps possible?

                                                        Answer: D

                                                        Explanation:
                                                        The correct answer is: " Create a self-signed certificate and its corresponding key. Create a Kubernetes secret using the certificate and the key. Then add these annotations to the Kubernetes service: annotations: service.
                                                        beta.kubernetes.io/oci-load-balancer-ssl-ports: ' 443 ' service.beta.kubernetes.io/oci-load-balancer-tls-secret:
                                                        ssl certificate-secret. " To create a secure SSL termination for your microservices-based application running in an OCI Container Engine for Kubernetes (OKE) cluster, you can follow these steps: Create a self-signed certificate and its corresponding key: Generate a self-signed SSL certificate and its private key using a tool like OpenSSL. Create a Kubernetes secret: Create a Kubernetes secret using the certificate and key obtained in the previous step. This secret will securely store the certificate and key within the Kubernetes cluster. Add annotations to the Kubernetes service: Modify the Kubernetes service that exposes your application and add the following annotations to enable SSL termination: annotations: service.beta.kubernetes.io/oci-load- balancer-ssl-ports: ' 443 ' (specify the SSL port as 443) annotations: service.beta.kubernetes.io/oci-load- balancer-tls-secret: ssl certificate-secret (specify the name of the Kubernetes secret containing the certificate and key) By following these steps, you can create a secure SSL termination for your application using a self- signed certificate and Kubernetes secret. The annotations added to the Kubernetes service ensure that the SSL port is configured correctly and the TLS secret is utilized for SSL termination when traffic reaches the load balancer. The other options provided are not the most suitable approaches for achieving secure SSL termination in an OCI Container Engine for Kubernetes (OKE) cluster: Adding annotations related to the OCI load balancer SSL secret key is not the correct approach for SSL termination in this scenario. Using Let ' s Encrypt to generate a self-signed certificate and configuring it on the OCI Load Balancer is not necessary when you can create and manage the SSL certificate within the Kubernetes cluster using a Kubernetes secret.


                                                        NEW QUESTION # 19
                                                        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 # 20
                                                        Your development team wants to configure API Gateway request validation to shield an upstream backend microservice from ill-formed API calls. You want to test the validation rules in your staging environment first without blocking any non-compliant client requests, and you want to ensure the gateway checks that a mandatory HTTP header is present. Which TWO configurations should you apply to your API Gateway deployment specification to meet this requirement?

                                                        Answer: A,E

                                                        Explanation:
                                                        OCI API Gateway request validation supportsEnforcing, Permissive, and Disabledvalidation modes. In Permissive mode, requests are validated and failures are recorded, but even non-compliant requests continue to the backend, making it appropriate for testing the impact of validation before enforcing it. Oracle also supports explicit header validation rules in which a header can be marked required: true. Enforcing mode instead blocks requests that fail validation and returns a 4xx response. No dynamic group is required for API Gateway to validate standard HTTP headers, and request.auth relates to authentication context rather than header-presence validation. Therefore, A and C directly satisfy both stated requirements.


                                                        NEW QUESTION # 21
                                                        Your Oracle Cloud Infrastructure (OCI) Container Engine for Kubernetes (OKE) administrator has created an OKE cluster with one node pool in a public subnet. You have been asked to provide a log file from one of the nodes for troubleshooting purpose. Which step should you take to obtain the log file?

                                                        Answer: B

                                                        Explanation:
                                                        To obtain a log file from one of the nodes in an Oracle Cloud Infrastructure (OCI) Container Engine for Kubernetes (OKE) cluster, you should SSH into the nodes using the private key. Here ' s the step-by-step process: Obtain the private key: The private key is required to authenticate and access the nodes in the OKE cluster. You should obtain the private key from your administrator or the appropriate key pair used to create the cluster. SSH into the node: Use a secure shell (SSH) client, such as OpenSSH, to connect to the desired node in the cluster. The SSH command typically includes the private key file path and the public IP address or hostname of the node. Example command: ssh -i < private_key_file > opc@ < node_public_ip > Replace < private_key_file > with the path to the private key file and < node_public_ip > with the public IP address of the node you want to access. Navigate to the log file location: Once you have successfully connected to the node, navigate to the directory where the log file is located. The exact location and name of the log file may vary depending on the Kubernetes distribution and configuration. Copy or view the log file: You can either copy the log file from the node to your local machine using the scp command or view the contents directly on the node using tools like cat or less. By following these steps, you will be able to access the log file from the desired node in the OKE cluster for troubleshooting purposes.


                                                        NEW QUESTION # 22
                                                        ......

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