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Oracle 1z0-1084-24 Exam Syllabus Topics:
Topic
Details
Topic 1
- Cloud Native Applications and Containerization: Candidates must demonstrate their knowledge of Docker, including its architecture and components, to effectively manage containerized applications. This includes using Oracle Cloud Infrastructure Registry (OCIR) to pull and push container images.
Topic 2
- Monitoring & Troubleshooting Cloud Native Applications: This section assesses candidates' skills in monitoring and troubleshooting cloud native applications. They must utilize the OCI Monitoring service to view metrics and the OCI Logging service to manage and search logs effectively.
Topic 3
- Cloud Native Fundamentals: This section tests the ability of cloud developers and architects to understand the core principles of cloud native development. Candidates are expected to explain the fundamentals of cloud native and discuss the key pillars that support cloud native approaches.
Topic 4
- Testing and Securing Cloud Native Applications: Cloud engineers and developers are tested on their ability to analyze and evaluate cloud native testing methodologies, developing effective strategies for testing applications in a cloud-native environment.
Topic 5
- Leveraging Serverless Technologies for Cloud Native Development: This part of the exam evaluates the ability to develop serverless applications using Oracle Functions. Candidates should be able to create API gateways to manage traffic from API clients and route it to back-end services, as well as establish integrations between systems using the OCI streaming service.
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Oracle Cloud Infrastructure 2024 Developer Professional Sample Questions (Q27-Q32):
NEW QUESTION # 27
Your company has recently deployed a new web application that uses Oracle Functions. Your manager instructs you to implement monitoring metrics to manage your systems more effectively. You know that Oracle Functions automatically monitors functions on your behalf and reports metrics via Oracle Cloud Infrastructure (OCI) Monitoring. Which TWO metrics are collected and made available by this feature?
(Choose two.)
- A. Amount of CPU used by a function
- B. Number of times a function Is removed
- C. Number of times a function is invoked
- D. Amount of RAM used by a function
- E. Length of time a function runs
Answer: A,D
Explanation:
The correct answers are: Amount of RAM used by a function: Oracle Functions collects and reports the amount of memory (RAM) used by a function during its execution. This metric helps in monitoring and optimizing the resource consumption of functions. Length of time a function runs: Oracle Functions captures and provides the duration of function executions. This metric allows you to track the performance and responsiveness of your functions and identify any potential bottlenecks or delays. These metrics provide valuable insights into the resource utilization and performance of your functions, enabling you to monitor and optimize their behavior in the Oracle Cloud Infrastructure (OCI) environment.
NEW QUESTION # 28
Which kubectl command syntax is valid for implementing a rolling update deployment strategy in Kubernetes? (Choose the best answer.)
- A. kubectl rolling-update <deployment-name> --image=image:v2
- B. kubectl upgrade -c <container> --image=image:v2
- C. kubectl update <deployment-name> --image=image:v2
- D. kubectl update -c <container> --iniage=image: v2
Answer: A
Explanation:
The correct syntax for implementing a rolling update deployment strategy in Kubernetes using the kubectl command is: kubectl rolling-update <deployment-name> --image=image:v2 This command initiates a rolling update of the specified deployment by updating the container image to image:v2. The rolling update strategy ensures that the new version of the application is gradually deployed while maintaining availability and minimizing downtime.
NEW QUESTION # 29
What are the TWO main reasons you would choose to implement a serverless architecture? (Choose two.)
- A. Reduced operational cost
- B. Automatic horizontal scaling
- C. Easier to run long-running operations
- D. Improved in-function state management
- E. No need for integration testing
Answer: A,B
Explanation:
The two main reasons to choose a serverless architecture are: Automatic horizontal scaling: Serverless architectures allow for automatic scaling of resources based on demand. The infrastructure automatically provisions and scales resources as needed, ensuring that applications can handle varying workloads efficiently. This eliminates the need for manual scaling and optimizes resource utilization. Reduced operational cost: Serverless architectures follow a pay-per-use model, where you are billed only for the actual execution time and resources consumed by your functions. This leads to cost savings as you don't have to pay for idle resources. Additionally, serverless architectures remove the need for managing and maintaining servers, reducing operational overhead and associated costs. Explanation: No need for integration testing:
Integration testing is still necessary in serverless architectures to ensure that functions integrate correctly with other components and services. Serverless functions can interact with various event sources, databases, and APIs, and testing is required to verify the integration points. Improved in-function state management:
Serverless architectures typically encourage stateless functions that operate on short-lived requests or events.
While there are mechanisms to manage state within a function, serverless architectures are designed to be stateless by default, promoting scalability and fault tolerance. Easier to run long-running operations:
Serverless functions are generally designed for short-lived operations rather than long-running tasks. If you have a requirement for long-running operations, a serverless architecture may not be the ideal choice, as it has execution time limits and may not provide the necessary resources for extended execution.
NEW QUESTION # 30
As a cloud-native developer, you are designing an application that depends on Oracle Cloud Infrastructure (OCI) Object Storage wherever the application is running. Therefore, provisioning of storage buckets should be part of your Kubernetes deployment process for the application. Which of the following should you leverage to meet this requirement? (Choose the best answer.)
- A. OCI Service Broker for Kubernetes
- B. Oracle Functions
- C. OCI Container Engine for Kubernetes
- D. Open Service Broker API
Answer: A
Explanation:
To provision storage buckets as part of your Kubernetes deployment process for an application that depends on Oracle Cloud Infrastructure (OCI) Object Storage, you should leverage the OCI Service Broker for Kubernetes. OCI Service Broker for Kubernetes enables you to provision and manage OCI resources, including Object Storage buckets, directly from Kubernetes. It provides a Kubernetes-native experience for managing OCI services, allowing you to define and manage OCI resources as part of your application deployment process. By using the OCI Service Broker for Kubernetes, you can define the required Object Storage buckets in your Kubernetes manifests, and the service broker will handle the provisioning and management of those buckets in OCI, ensuring that they are available for your application wherever it is running.
NEW QUESTION # 31
A DevOps engineer is troubleshooting the Meshifyd application, which is running in an Oracle Cloud Infrastructure (OCI) environment. The engineer has set up the OCI Logging service to store access logs for the application but notices that the logs from the Meshifyd application are not showing up in the logging service. The engineer suspects that there might be an issue with the logging configuration. Which two statements are potential reasons for logs from the Meshifyd application not showing up in the OCI Logging service?
- A. The logconfig.json file has incorrect or missing information in the application namespace in the paths field.
- B. The logconfig.json file has incorrect or missing OCID for the custom log group in the logGroupObjectId field.
- C. The logconfig.json file has incorrect or missing OCID for the custom log in the logobjectId field.
- D. The OCI Logging service is set up to pre access logs by creating a log group and custom log within the same compartment.
- E. The logconfig.json file has incorrect or missing information in the application namespace in the src field.
Answer: B,C
Explanation:
The logconfig.json file is a configuration file that specifies how the Unified Monitoring Agent collects and uploads custom logs to the OCI Logging service2. The logconfig.json file contains an array of objects, each representing a custom log configuration2. Each custom log configuration object has the following fields2:
* logGroupObjectId: The OCID of the log group where the custom log is stored.
* logObjectId: The OCID of the custom log.
* paths: An array of paths to files or directories containing the custom logs.
* src: A regular expression that matches the files containing the custom logs.
* parser: A parser definition that specifies how to parse the custom logs. If the logconfig.json file has incorrect or missing OCID for the custom log in the logobjectId field, or incorrect or missing OCID for the custom log group in the logGroupObjectId field, then the Unified Monitoring Agent will not be able to upload the custom logs to the OCI Logging service2. Therefore, these are potential reasons for logs from the Meshifyd application not showing up in the OCI Logging service. Verified References: Unified Monitoring Agent Configuration File
NEW QUESTION # 32
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