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| Section | Weight | Objectives |
|---|
| Topic 1: Testing and Securing Cloud Native Applications | 13% | - Cloud Native Testing
- 1. Cloud native testing methodologies
- 2. Testing strategies for cloud native applications
- Cloud Native Security
- 1. Use OCI Vault to securely manage encryption keys
- 2. Manage sensitive configuration information
- 3. Apply security measures for cloud native development
|
| Topic 2: Cloud Native Fundamentals | 11% | - Cloud Native Principles
- 1. Fundamentals of cloud native development
- 2. Key pillars of cloud native development
- Microservices Architecture
- 1. Microservices architecture
- 2. Microservices design methodology
|
| Topic 3: Leveraging Serverless Technologies for Cloud Native Development | 33% | - API Gateway
- 1. Route API traffic to backend services
- 2. Process traffic from API clients
- OCI Queue
- 1. Implement asynchronous messaging for microservices
- Oracle Functions
- 1. Develop serverless applications with Oracle Functions
- OCI Events
- 1. Build event-driven serverless applications
- OCI Streaming
- 1. Use streaming for serverless and managed application architectures
- 2. Integrate systems using OCI Streaming
|
| Topic 4: Monitoring and Troubleshooting Cloud Native Applications | 10% | - OCI Monitoring
- 1. Use OCI Monitoring to view metrics
- Monitoring, Logging, and Tracing
- 1. Troubleshoot cloud native applications
- 2. Perform monitoring, logging, and tracing tasks
- OCI Logging
- 1. Enable and manage logs
- 2. Search and analyze logs
|
| Topic 5: Cloud Native Applications and Containerization | 33% | - Docker and Containerization
- 1. Docker architecture and components
- 2. Containerization concepts
- Oracle Cloud Infrastructure Registry
- 1. Push container images to OCIR
- 2. Pull container images from OCIR
- Container Orchestration
- 1. Role of container orchestration
- 2. Deploy containerized applications on Oracle Kubernetes Engine
|
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Oracle Cloud Infrastructure Developer Professional Sample Questions (Q135-Q140):
NEW QUESTION # 135
A developer using Oracle Cloud Infrastructure (OCI) API Gateway needs to authenticate the API requests to their web application. The authentication process must be implemented using a custom scheme which accepts string-based parameters from the API caller. Which approach should the developer use in this scenario?
- A. Create an authorizer function using OCI Identity and Access Management 91AM) based authentication.
- B. Create an authorizer function using token-based authorization.
- C. Create an authorizer function using request header authorization.
- D. Create a cross account functions authorizer.
Answer: B
Explanation:
In the given scenario, the developer should use the approach of creating an authorizer function using token- based authorization. Token-based authorization is a commonly used approach for authenticating API requests.
It involves generating and issuing tokens to API callers, which they can then include in the requests they make to the API. The tokens serve as proof of authentication and are validated by the server to ensure the caller ' s identity and access rights. By creating an authorizer function using token-based authorization, the developer can implement a custom scheme that accepts string-based parameters from the API caller. This allows the developer to define their own authentication logic and validate the provided tokens according to their requirements. The authorizer function can be configured in the OCI API Gateway to be invoked before forwarding the request to the web application. It will perform the necessary token validation and authentication checks, allowing only authorized requests to access the protected resources of the web application.
NEW QUESTION # 136
You are developing a continuous integration (CI) pipeline running on an Oracle Cloud Infrastructure (OCI) Compute instance that automatically builds and pushes container images to Container Registry (OCIR). You need to configure dynamic group membership and write the minimum required IAM policies to authorize this Compute instance to push images to repositories within a compartment named qa-compartment.
Which TWO steps must you perform to achieve this authorization?
- A. Create a dynamic group named ci-pipeline-dg with the matching rule: ANY {instance.id = ' ocid1.
instance.oc1.phx.exampleinstanceocid ' } - B. Add an IAM policy statement: Allow dynamic-group ci-pipeline-dg to use repos in compartment qa- compartment
- C. Create a dynamic group named ci-pipeline-dg with the matching rule: ANY {container.instance = ' ocid1.instance.oc1.phx.exampleinstanceocid ' }
- D. Add an IAM policy statement: Allow dynamic-group ci-pipeline-dg to manage repos in compartment qa-compartment
- E. Add an IAM policy statement: Allow dynamic-group ci-pipeline-dg to inspect repos in compartment qa- compartment
Answer: A,D
Explanation:
OCI dynamic groups identify Compute instances using the documented instance.id attribute, making B valid.
Oracle Container Registry documentation also shows manage repos as a policy capable of authorizing image pushes within a specified compartment, making D the sufficient policy among the supplied choices. container.
instance is not a valid Compute-instance matching variable, while inspect repos provides only discovery-level permissions. use repos does not supply the repository update permissions required for pushing images. For stricter production least privilege, Oracle additionally documents conditioning a manage repos policy to specific permissions such as REPOSITORY_READ, REPOSITORY_UPDATE, and REPOSITORY_CREATE; however, that granular variant is not offered among these choices. Therefore, B and D are the correct selections.
NEW QUESTION # 137
You deployed a Python application to an Oracle Container Engine for Kubernetes (OKE) cluster. However, while testing you found a bug, which you rectified and then created a new Docker image. You now need to ensure that if this new image does not work once deployed, you should be able to roll back to the previous version. Using kubect1, which strategy should you use?
- A. Blue/Green Deployment
- B. Rolling Update
- C. Canary Deployment
- D. A/B Testing
Answer: B
Explanation:
A rolling update is a deployment strategy that gradually replaces the old version of an application with the new version without any downtime4. OKE supports rolling updates by using the kubectl rollout command4. A rolling update allows you to roll back to the previous version if something goes wrong with the new version4.
Therefore, using a rolling update strategy with kubectl ensures that you can roll back to the previous version of your Python application if the new image does not work once deployed.Verified References: Deploy Oracle Container Engine for Kubernetes
NEW QUESTION # 138
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?
- A. Allow dynamic-group payment-producer-dg to use queue-pull in compartment prod-payment- compartment
- B. Allow dynamic-group payment-producer-dg to manage queue-push in compartment prod-payment- compartment
- C. Allow dynamic-group payment-producer-dg to use queues in compartment prod-payment-compartment
- D. Allow dynamic-group payment-producer-dg to use queue-push in compartment prod-payment- compartment
Answer: D
Explanation:
OCI Queue exposes separate IAM resource types specifically to enforce producer/consumer separation.
Oracle documents queue-push for producers and queue-pull for consumers. The policy Allow dynamic-group payment-producer-dg to use queue-push in compartment prod-payment-compartment grants only QUEUE_PRODUCE, which covers the PutMessages API operation. It does not grant GetMessages, DeleteMessage, queue configuration reads, or queue administration. By comparison, use queues is broader because the general queues resource type includes read, update, produce, and consume capabilities. queue- pull provides consumer permissions rather than producer permissions, and manage queue-push is not the correct permission model for this specialized resource type. Therefore, A precisely implements least-privilege publishing for the producer microservice.
NEW QUESTION # 139
A company is developing a new application that needs to process transactions in real time. The company wants to ensure that all transactions are processed in order and that no transaction is lost. Which of these is a correct strategy for leveraging OCI Queue in this scenario?
- A. Use a separate queue for each application instance.
- B. Use a priority queue to prioritize requests.
- C. Use a single queue to process all transactions.
- D. Use a separate queue for each type of transaction.
Answer: C
Explanation:
OCI Queue is a service for enabling asynchronous (decoupled) communication in a serverless manner3. Queue handles high-volume transactional data that requires independent processing without loss or duplication3. Queue supports ordering of messages within a queue by using the FIFO (first-in-first-out) delivery option3. Therefore, using a single queue to process all transactions ensures that all transactions are processed in order and that no transaction is lost.Verified References: Overview of Queue
NEW QUESTION # 140
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