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| Section | Weight | Objectives |
|---|---|---|
| Cloud Native Applications and Containerization | 33% | - Container Orchestration
|
| Testing and Securing Cloud Native Applications | 13% | - Cloud Native Security
|
| Monitoring and Troubleshooting Cloud Native Applications | 10% | - OCI Monitoring
|
| Cloud Native Fundamentals | 11% | - Cloud Native Principles
|
| Leveraging Serverless Technologies for Cloud Native Development | 33% | - Oracle Functions
|
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NEW QUESTION # 155
Your team has deployed a high-throughput order processing microservice that consumes messages from an OCI Stream with 8 partitions. To handle peak operational hours, you have scaled out your deployment to run
12 identical microservice consumer instances under a single named consumer group. During execution, you notice that 4 of the 12 consumer instances remain completely idle and are not assigned any stream data.
Which OCI Streaming architectural rule explains this behavior?
Answer: A
Explanation:
OCI Streaming consumer groups assign each stream partition exclusively to one consumer-group instance at a time. Oracle states that every partition is owned by one instance following a successful rebalance and that instances exceeding the number of available partitions remain idle. With eight partitions, no more than eight of the twelve consumer instances can actively consume simultaneously, leaving four without assignments.
This is not a fixed eight-consumer limitation: increasing the stream to twelve or more partitions could allow all twelve instances to become active. Consumer groups automatically coordinate partition assignment, offsets, commits, heartbeats, and rebalancing, so Service Connector Hub is unnecessary. Stream pools likewise do not determine the consumer-to-partition scaling relationship. Therefore, B explains the observed behavior precisely.
NEW QUESTION # 156
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?
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 # 157
You are designing an automated integration testing strategy for a containerized microservice deployed to an Oracle Cloud Infrastructure (OCI) Container Engine for Kubernetes (OKE) cluster. The microservice ' s integration tests must write test events to an OCI Stream within a specific compartment. To comply with security mandates, you must avoid the use of hardcoded credentials, long-lived API signing keys, or manual token injection during the automated test execution. Which TWO configurations are required to securely authorize the test suite to access the OCI Streaming service? (Choose TWO.)
Answer: C,E
Explanation:
For OKE workloads running on managed worker nodes, OCI Instance Principals provide credential-free access to OCI APIs. Oracle documents creating a dynamic group containing the worker-node Compute instances, commonly using a matching rule based on instance.compartment.id, and then granting that dynamic group appropriate permissions through an IAM policy. Streaming permissions can authorize publishing to streams without embedding user credentials in application configuration. Hardcoded Auth Tokens violate the stated security requirement, root privileges do not bypass OCI IAM authentication, and security lists only control network traffic rather than service authorization. For modern enhanced OKE clusters, Oracle now provides Workload Identity for finer-grained pod-level authorization and recommends it where appropriate; however, among the options supplied, the documented instance-principal configuration is A and B.
NEW QUESTION # 158
Which statement is NOT valid regarding log retention periods in the Oracle Cloud Infrastructure (OCI) Logging service?
Answer: B
Explanation:
Statement D is NOT valid because OCIAudit logs are retained for 365 days, not 180 days. Oracle states that Audit retention is a tenancy-level setting affecting all regions and compartments and that its value cannot be changed. By contrast, OCI Logging service and custom logs support configurable retention in 30-day increments up to 180 days. Oracle also confirms that reducing a log ' s retention period makes existing data outside the new retention window unavailable and unsearchable. Therefore, the question intentionally distinguishes configurable Logging retention from the fixed OCI Audit retention model. The incorrect portion of D is specifically the stated 180-day duration; OCI Audit uses a 365-day retention period.
NEW QUESTION # 159
Which statement is NOT valid regarding testing methodologies for cloud native applications?
Answer: D
Explanation:
Statement D is NOT valid. Oracle ' s cloud application architecture guidance explicitly describes integration testing as validating interactions and data flow between components, modules, and services. In a cloud-native architecture, those interactions commonly occur through network-based APIs, service endpoints, databases, and messaging systems. Oracle recommends test environments that resemble production rather than restricting integration testing to isolated developer workstations. Unit testing does focus on individual units of code and typically isolates dependencies. API mocking can emulate unavailable dependent services, while performance testing evaluates responsiveness, scalability, and stability under varying workloads such as load and stress conditions. Therefore, the claim that integration testing is exclusively local and does not validate network communication contradicts the actual purpose of integration testing.
NEW QUESTION # 160
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