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| Section | Weight | Objectives |
|---|
| Topic 1: Monitoring & Troubleshooting Cloud Native Applications | 10% | - Monitoring, Logging, and Tracing
- 1. Perform tasks around monitoring, logging, and tracing
- OCI Monitoring
- 1. Utilize OCI Monitoring Service to view metrics
- OCI Logging
- 1. Use OCI Logging Service to enable, manage, and search logs
|
| Topic 2: Testing and Securing Cloud Native Applications | 13% | - Cloud Native Testing
- 1. Analyze and evaluate cloud native testing methodologies and develop effective strategies for testing cloud native applications
- OCI Vault
- 1. Use OCI Vault to securely store and manage encryption keys and sensitive configuration information
- Cloud Native Security
- 1. Apply security measures to overcome challenges with cloud native development
|
| Topic 3: Cloud Native Fundamentals | 11% | - Cloud Native Principles
- 1. Explain the fundamentals of cloud native and discuss the key pillars of cloud native development
- Microservices Architecture
- 1. Explain the microservices architecture and discuss the design methodology of microservices
|
| Topic 4: Cloud Native Applications and Containerization | 33% | - Container Orchestration
- 1. Discuss the role of container orchestration
- 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
|
| Topic 5: Leveraging Serverless Technologies for Cloud Native Development | 33% | - OCI Events
- 1. Build event-driven serverless applications using OCI Events Service
- API Gateway
- 1. Create API gateways to process traffic from API clients and route it to back-end services
- OCI Queue
- 1. Facilitate asynchronous messaging for microservices with OCI Queue
- Oracle Functions
- 1. Develop serverless applications with Oracle Functions
- OCI Streaming
- 1. Create integration between systems using OCI Streaming Service
|
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Oracle Cloud Infrastructure Developer Professional Sample Questions (Q65-Q70):
NEW QUESTION # 65
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?
- A. " actionTypes " : " com.oraclecloud.objectstorage.createobject | com.oraclecloud.computeapi.instance.
terminate.begin " - B. " filterType " : [ " com.oraclecloud.objectstorage.createobject " , " com.oraclecloud.computeapi.
instance.terminate.begin " ] - C. " eventType " : [ " com.oraclecloud.objectstorage.createobject " , " com.oraclecloud.computeapi.
instance.terminate.begin " ] - D. " eventTypes " : " com.oraclecloud.objectstorage.createobject, com.oraclecloud.computeapi.instance.
terminate.begin "
Answer: C
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 # 66
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?
- A. Use the request.auth[ < key > ] context variable inside a Stock Response backend to log non-compliant headers.
- B. Create a dynamic group and IAM policy to grant the API Gateway permission to inspect incoming request bodies in real-time.
- C. Set the request validation policy mode to Enforcing to forward failed requests to the execution log instead of blocking them.
- D. Set the request validation policy mode to Permissive to log validation failures without rejecting requests.
- E. Configure the request validation policy with header validations to mandate the presence of the required HTTP header.
Answer: D,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 # 67
You are building an event-driven workflow and need to programmatically create an Oracle Cloud Infrastructure (OCI) Events rule using the OCI Command Line Interface (CLI). Which CLI command correctly creates the rule while sourcing its target destination services from a local configuration file named actions.json?
- A. oci events rule create --display-name " MyRule " --is-enabled true --condition ' { " eventType " : " com.
oraclecloud.objectstorage.deletebucket " } ' --compartment-id ocid1.compartment.oc1..abc --action- payload file://actions.json - B. oci events rule create --display-name " MyRule " --is-enabled true --condition ' { " eventType " : " com.
oraclecloud.objectstorage.deletebucket " } ' --compartment-id ocid1.compartment.oc1..abc -- destinations file://actions.json - C. oci events rule create --display-name " MyRule " --is-enabled true --condition ' { " eventType " : " com.
oraclecloud.objectstorage.deletebucket " } ' --compartment-id ocid1.compartment.oc1..abc --targets file://actions.json - D. oci events rule create --display-name " MyRule " --is-enabled true --condition ' { " eventType " : " com.
oraclecloud.objectstorage.deletebucket " } ' --compartment-id ocid1.compartment.oc1..abc --actions file://actions.json
Answer: D
Explanation:
The OCI CLI command oci events rule create requires the --actions parameter to define the destinations invoked when the Events rule condition matches. Oracle identifies --actions as a required complex parameter and explicitly supports loading its JSON representation from a local file using file://path/to/file. Oracle ' s Events examples show the same pattern: --actions file://actions.json. The other proposed parameters--- destinations, --targets, and --action-payload-are not valid parameters for the events rule create CLI operation. The actions file can define supported destinations such as Notifications, Streaming, or Functions.
Consequently, option D precisely matches the current OCI CLI command-reference syntax for programmatically creating the rule with action definitions stored in a file.
NEW QUESTION # 68
Your organization is deploying a high-performance distributed deep learning training workload that requires GPU-enabled bare metal Compute instances connected through an ultra-low-latency Oracle Cloud Infrastructure (OCI) RDMA cluster network. To maximize processing efficiency and comply with strict corporate OS requirements, your team must use a custom, pre-hardened Oracle Linux operating system image that is not supported by default node pools. The containerized training jobs must be orchestrated and scheduled using your existing Container Engine for Kubernetes (OKE) control plane.
Which worker node deployment model must you implement?
- A. Self-Managed Nodes
- B. Managed Node Pools
- C. Virtual Node Pools
- D. Instance-Pool Nodes
Answer: A
Explanation:
OKE Self-Managed Nodes, also called Bring Your Own Nodes, provide the necessary infrastructure flexibility for specialized Compute workloads. Oracle states that self-managed nodes are Compute instances that customers create themselves and then attach to an enhanced OKE cluster. Because the instances are provisioned through OCI Compute rather than a managed OKE node pool, organizations can select specialized shape and image combinations unavailable to managed or virtual nodes. Oracle specifically cites GPU shapes, HPC shapes, and high-bandwidth, ultra-low-latency RDMA cluster networks as examples suited to self-managed nodes. This model also enables custom operating-system configuration. Virtual Nodes abstract the infrastructure entirely, while Managed Node Pools constrain supported infrastructure combinations. Therefore, Self-Managed Nodes satisfy all of the stated GPU, RDMA, and custom-image requirements.
NEW QUESTION # 69
You are developing a Python microservice that needs to consume real-time telemetry data from a specific OCI Stream partition, beginning only with new messages that are published after your consumer client connects.
Which cursor type must you specify when invoking the create_cursor API call?
- A. AT_TIME
- B. AFTER_OFFSET
- C. LATEST
- D. TRIM_HORIZON
Answer: C
Explanation:
The LATEST cursor type positions the consumer at the most recent point in the stream so that it receives only messages published after the cursor is created. Oracle explicitly states that a cursor based on the most recent message allows consumption only of messages subsequently added to the stream. TRIM_HORIZON has the opposite behavior: it begins with the oldest message still available inside the stream ' s retention period.
AFTER_OFFSET begins immediately after a supplied partition offset, while AT_TIME begins from a specified timestamp. Because the requirement is to ignore all historical telemetry already retained in the partition and consume only newly arriving records, LATEST is the correct cursor type for the CreateCursor operation.
NEW QUESTION # 70
......
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