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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Cloud Native Fundamentals | 11% | - DevOps concepts and CI/CD workflows - OCI developer services and tools overview - Cloud-native principles and microservices architecture |
| Topic 2: Testing and Securing Cloud Native Applications | 13% | - Application security best practices - Testing strategies and secure deployment configurations - Secrets management with OCI Vault |
| Topic 3: Monitoring & Troubleshooting Cloud Native Applications | 10% | - Centralized logging and metrics collection - Application performance monitoring and tracing - Troubleshooting containerized and serverless workloads |
| Topic 4: Leveraging Serverless Technologies for Cloud Native Development | 33% | - Event-driven architecture with OCI Events, Streaming, and Queue - Oracle Functions development and management - API-driven architectures using API Gateway |
| Topic 5: Cloud Native Applications and Containerization | 33% | - Deployment and management with Oracle Kubernetes Engine (OKE) - Oracle Container Registry (OCIR) usage - Building containerized applications with Docker |
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NEW QUESTION # 165
Your organization requires automatic rotation of third-party API keys stored as secrets in OCI Vault every 90 days. You have created a custom serverless OCI Function named rotate-api-keys that handles the API key generation and updates. You are now configuring the automatic rotation properties of the OCI Vault secret via the OCI API. Which configuration must you specify on the secret to automatically run this custom OCI Function at the required interval?
Answer: B
Explanation:
OCI Vault natively supports scheduled secret rotation and integration with OCI Functions. The RotationConfig model contains is_scheduled_rotation_enabled, rotation_interval, and target_system_details.
Oracle specifies that enabling scheduled rotation requires a rotation interval represented using ISO 8601 duration syntax, so P90D expresses 90 days. For Function-based rotation, the target system is configured as a Function and the target details identify the Function OCID. Oracle further states that Secret Service invokes the configured rotation function as part of the rotation process. A SecretExpiryRule controls expiration rather than scheduled function-based rotation, while Monitoring alarms and Events rules would introduce separate orchestration rather than use Vault ' s native feature. Therefore, A correctly configures automatic 90-day Function-based rotation.
NEW QUESTION # 166
Which token authentication policy configuration parameter should be defined when adjusting for potential clock synchronization differences between the external OAuth2 identity provider and the OCI API Gateway?
Answer: A
Explanation:
maxClockSkewInSeconds specifies the maximum expected difference between the system clock of the token issuer and the OCI API Gateway. Oracle documents this value as part of token/JWT authentication policy configuration. The gateway accounts for the configured skew when evaluating time-dependent JWT claims such as nbf (not before) and exp (expiration), preventing otherwise valid tokens from being rejected because of minor clock differences between systems. Oracle currently documents a valid range from 0 through 120 seconds for the JWT policy. maxCacheDurationInHours controls caching behavior rather than clock synchronization, while SSL verification relates to certificate validation. allowedClockVariance is not the documented OCI API Gateway property. Therefore, B is the correct configuration parameter.
NEW QUESTION # 167
You are configuring an Oracle Cloud Infrastructure Events rule to process lifecycle changes for both Object Storage objects and Compute instances within a single compartment. Which JSON filter attribute structure correctly groups multiple event types under a single filter condition?
Answer: B
Explanation:
Oracle Events uses the singular top-level field eventType to identify the type of event represented by an event message. When a rule must match more than one event type, Oracle explicitly documents placing multiple event-type strings in a JSON array assigned to eventType. Values within that array operate as alternatives, allowing the condition to match an event corresponding to any listed type. eventTypes, actionTypes, and filterType are not valid substitutes for the documented field. Likewise, concatenating event types into a single pipe-delimited or comma-delimited string does not create multiple event matches. Option D therefore implements the exact structure Oracle shows in its Events filtering examples for a rule covering multiple event types.
NEW QUESTION # 168
Which of these is a valid use case for OCI Queue?
Answer: C
Explanation:
OCI Queue is a fully managed serverless service that helps decouple systems and enable asynchronous operations2. Queue handles high-volume transactional data that requires independently processed messages without loss or duplication2. A valid use case for OCI Queue is building decoupled and scalable systems, such as event-driven architectures or microservices-based applications2. For example, you can use Queue to decouple your application and build an event-driven architecture. Decoupling ensures that individual application components can scale independently and that you can future-proof your design so that as new application components are built, they can publish or subscribe to the queue2.
NEW QUESTION # 169
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.)
Answer: A,D,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 # 170
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