FREE PDF QUIZ 2025 ORACLE 1Z0-1084-24: HIGH PASS-RATE DUMP ORACLE CLOUD INFRASTRUCTURE 2024 DEVELOPER PROFESSIONAL TORRENT

Free PDF Quiz 2025 Oracle 1z0-1084-24: High Pass-Rate Dump Oracle Cloud Infrastructure 2024 Developer Professional Torrent

Free PDF Quiz 2025 Oracle 1z0-1084-24: High Pass-Rate Dump Oracle Cloud Infrastructure 2024 Developer Professional Torrent

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Oracle 1z0-1084-24 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 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
  • 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.
Topic 5
  • 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.

Oracle Cloud Infrastructure 2024 Developer Professional Sample Questions (Q60-Q65):

NEW QUESTION # 60
Assuming that your function does NOT have the --provisioned-concurrency option enabled, which parameter is used to configure the time period during which an idle function will remain in memory before Oracle Functions removes its container image from memory?

  • A. timeout
  • B. None, as this time is not configurable.
  • C. idle-timeout
  • D. access-timeout

Answer: C

Explanation:
Idle-timeout is the parameter that is used to configure the time period during which an idle function will remain in memory before Oracle Functions removes its container image from memory2. The idle-timeout parameter is specified in seconds and can be set when creating or updating a function2. The default value for idle-timeout is 30 seconds and the maximum value is 900 seconds (15 minutes)2. If a function has the -- provisioned-concurrency option enabled, the idle-timeout parameter is ignored and the function instances are always kept in memory3. Verified References: Creating Functions, Provisioned Concurrency


NEW QUESTION # 61
Oracle Functions monitors all deployed functions and collects and reports various metrics. Which is NOT available when viewing the Application metrics in the Oracle Cloud Infrastructure (OCI) Console?

  • A. The number of requests to invoke a function that failed due to throttling.
  • B. The number of retries made by the function before failing due to an error.
  • C. The number of requests to invoke a function that failed with an error response.
  • D. The length of time a function runs for.

Answer: B

Explanation:
The option that is NOT available when viewing the Application metrics in the Oracle Cloud Infrastructure (OCI) Console is: "The number of retries made by the function before failing due to an error." When viewing the Application metrics in the OCI Console for Oracle Functions, you can typically see metrics related to the performance and usage of your functions. These metrics provide insights into how your functions are performing and being utilized. The following metrics are usually available: The number of requests to invoke a function that failed due to throttling: This metric indicates the number of requests that were not processed by the function due to reaching the configured concurrency limit or throttling settings. The length of time a function runs for: This metric represents the duration of each function invocation, measuring the time it takes for the function to complete its execution. The number of requests to invoke a function that failed with an error response: This metric counts the number of requests that encountered an error during the function invocation, resulting in a failed response. However, the number of retries made by the function before failing due to an error is not typically available as part of the Application metrics in the OCI Console. The retries made by the function are usually handled at the invoker level, and the specific details of retries may not be captured as part of the application-level metrics. It's important to note that the availability of metrics and their specific details may vary depending on the version and configuration of Oracle Functions and the monitoring setup. It is recommended to refer to the Oracle Functions documentation and consult the official documentation for accurate and up-to-date information on available metrics.


NEW QUESTION # 62
How are cloud native application versions deployed to an OKE cluster when using a blue/green deployment strategy?

  • A. New application versions are deployed in minor increments to a select group of people.
  • B. Both old and new application versions are deployed to production at the same time.
  • C. Current applications are slowly replaced with new application versions.

Answer: B

Explanation:
Blue/Green deployment strategy allows releasing a new version of an application using two identical environments where one of them is active at a given time. The current version of the application is provisioned on the active environment, whereas the new version gets deployed to the standby environment1. The traffic is shifted from the active to the standby environment by updating the ingress resource2. Therefore, both old and new application versions are deployed to production at the same time, but only one of them receives the traffic. Verified References: Announcing new deployment strategies for OCI DevOps Service, Blue-Green OKE Deployment


NEW QUESTION # 63
Which is NOT a valid use case for leveraging the Oracle Cloud Infrastructure (OCI) Events service?

  • A. Publishing a notification when long-lived tasks complete, such as an OCI Autonomous Database backup completion.
  • B. Publishing all the OCI resource events in a specific compartment to the OCI Streaming service for later analysis.
  • C. Capturing the OCI Monitoring service alarms and invoking autoscaling of compute instances.
  • D. Triggering a function deployed in Oracle Functions when new files are uploaded to an OCI Object Storage bucket.
  • E. Triggering a notification action when a function completes its execution.

Answer: C

Explanation:
The use case that is NOT a valid use case for leveraging the Oracle Cloud Infrastructure (OCI) Events service is "Capturing the OCI Monitoring service alarms and invoking autoscaling of compute instances." The OCI Events service is designed to provide event-driven architecture and enable automated responses to events occurring within the Oracle Cloud Infrastructure. It allows you to react to changes and activities happening within your OCI resources. The Events service can be used to trigger actions based on events like file uploads, resource changes, or task completions. However, capturing the OCI Monitoring service alarms and invoking autoscaling of compute instances is not a direct functionality provided by the OCI Events service. Autoscaling based on monitoring metrics is typically handled by the OCI Autoscaling service, which is specifically designed for that purpose. The OCI Monitoring service provides monitoring and alerting capabilities, while the Autoscaling service handles the dynamic scaling of compute instances based on predefined policies and thresholds.


NEW QUESTION # 64
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. Rolling Update
  • B. A/B Testing
  • C. Canary Deployment
  • D. Blue/Green Deployment

Answer: A

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 # 65
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