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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Monitoring and Troubleshooting Cloud Native Applications | 10% | - OCI Monitoring
|
| Topic 2: Testing and Securing Cloud Native Applications | 13% | - Cloud Native Testing
|
| Topic 3: Leveraging Serverless Technologies for Cloud Native Development | 33% | - OCI Events
|
| Topic 4: Cloud Native Fundamentals | 11% | - Microservices Architecture
|
| Topic 5: Cloud Native Applications and Containerization | 33% | - Docker and Containerization
|
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NEW QUESTION # 17
Your organization is developing serverless applications with Oracle Functions. Many functions will need to store state data in a database, which will require using appropriate credentials. However, your corporate security standards mandate encryption of secret information, such as database passwords. How would you address this security requirement?
Answer: C
Explanation:
The best way to store and use secret information, such as database passwords, in Oracle Functions is to use the OCI Vault service. The OCI Vault service provides encryption and decryption capabilities for sensitive data. You can use the OCI Vault service to encrypt the password and store it as an application-level configuration variable. Then, you can use the generated key to decrypt the password in your function code when you need to access the database. Verified References: Oracle Functions: Using Key Management To Encrypt And Decrypt Configuration Variables
NEW QUESTION # 18
Which of the following is NOT a criterion that is usually met by a microservice?
Answer: C
Explanation:
The correct answer is: " Tightly coupled. " Tightly coupling is not a criterion that is usually met by a microservice. In fact, microservices are designed to be loosely coupled. Loosely coupling refers to reducing dependencies and minimizing the direct interactions between different components or services. Microservices promote independence and autonomy, allowing each service to operate independently without being tightly bound to other services. The other options listed are criteria that are typically met by microservices:
Organized around business capabilities: Microservices architecture suggests designing services around specific business capabilities or functionalities. This allows for focused and specialized services that align with the organization ' s business needs. Independently deployable: Microservices are designed to be independently deployable units. Each microservice can be developed, tested, and deployed separately, without impacting other services. This enables agility and scalability in the deployment process. Highly maintainable:
Microservices are often designed to be highly maintainable. They are smaller in scope and focused on specific tasks, making it easier to manage and maintain individual services. Additionally, microservices can be updated, patched, or replaced without affecting the entire system, facilitating easier maintenance and evolution of the application. Therefore, the criterion that is NOT typically met by a microservice is being tightly coupled.
NEW QUESTION # 19
Your DevOps team wants to configure a critical alert in OCI Monitoring for a payment gateway microservice application. The security architecture mandate requires that an alert must only fire if the average transaction latency exceeds 500 milliseconds over a sliding 15-minute interval. To avoid individual instance alerts, the query must aggregate all resource metrics within the target compartment together into a single unified stream before checking the threshold.
Which Monitoring Query Language (MQL) expression correctly satisfies all these requirements?
Answer: C
Explanation:
In OCI Monitoring Query Language, grouping() aggregates multiple matching metric streams into a common result rather than retaining separate streams for individual resources. Oracle ' s documentation demonstrates this syntax with expressions such as IopsRead[1m]{...}.grouping().max(). Here, [15m] establishes the metric aggregation interval, .mean() calculates the average transaction latency, and > 500 supplies the alarm threshold. groupBy(resourceId) would preserve separate result streams by resource ID, which directly contradicts the requirement to evaluate all resource metrics as one unified stream. filter(resourceId) is not valid grouping syntax, and absent() is designed to detect missing metric data rather than evaluate latency values. Therefore, TransactionLatency[15m].grouping().mean() > 500 correctly implements the stated aggregation and threshold logic.
NEW QUESTION # 20
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: D,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 # 21
Which statement is NOT valid regarding the structure and behavior of Docker images and containers?
Answer: B
Explanation:
Docker images and containers have separate lifecycles. Oracle describes a Docker image as a read-only template used to create containers, while image implementations consist of immutable read-only layers. A running container adds its own writable runtime state without changing those underlying image layers.
Removing a container with docker rm removes that container instance; deleting the corresponding image requires a separate image-removal operation such as docker rmi. Oracle ' s Cloud Shell documentation likewise explicitly uses docker rmi when deleting local images. Therefore, deleting a container doesnotautomatically or permanently delete its source image. Statements A, B, and D describe the layered and copy-on-write behavior associated with Docker containers, making C the invalid statement.
NEW QUESTION # 22
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