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Q&As with Explanations Verified & Correct Answers
NEW QUESTION # 51
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 with an error response.
- 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 due to throttling.
- 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 # 52
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. A/B Testing
- B. Blue/Green Deployment
- C. Canary Deployment
- D. Rolling Update
Answer: D
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 Reference: Deploy Oracle Container Engine for Kubernetes
NEW QUESTION # 53
You are developing a distributed application and you need a call to a path to always return a specific JSON content deploy an OCI API Gateway with the below API deployment specification. What is the correct value for type? { "routes" : [{ "path" : "/hello", "methods" : ["Get"), "backend" : { "type" : " ---------------- ", "status" : 200, "headers" : [{ "name" : "Content-Type", "value" : "application/json" }] "body" : "{\"myjson\": \"consistent response\"}" }}]}
- A. STOCK_RESPONSE_BACKEND
- B. JSON_BACKEND
- C. HTTP_BACKEND
- D. CONSTANT_BACKEND
Answer: A
Explanation:
The correct value for the "type" field in the API deployment specification is "STOCK_RESPONSE_BACKEND". By setting the "type" to "STOCK_RESPONSE_BACKEND", you are indicating that the backend for the specified route should return a pre-defined response. This type of backend is commonly used when you want a specific response to be returned consistently, regardless of the actual backend service implementation. In this case, the API deployment specification is configured to have a single route with the path "/hello" and the method "GET". The backend section specifies the type as "STOCK_RESPONSE_BACKEND". Additionally, it defines the response status code as 200, sets the "Content-Type" header to "application/json", and provides the JSON content in the "body" field. Using this configuration, any request to the "/hello" path with the "GET" method will always receive a consistent JSON response with the content "{"myjson": "consistent response"}".
NEW QUESTION # 54
Which term describes a group formed by a master machine and a worker machine in a Kubernetes architecture?
- A. Pod
- B. Node
- C. Deployment
- D. Cluster
- E. Container
Answer: D
Explanation:
The term that describes a group formed by a master machine and a worker machine in a Kubernetes architecture is "Cluster". A cluster in Kubernetes consists of one or more master machines and multiple worker machines (also known as nodes). The master machine manages the overall control plane and orchestrates the deployment and management of containers on the worker nodes. The worker nodes are responsible for running the containers and executing the workloads. The cluster is the fundamental unit of organization and management in Kubernetes, providing the infrastructure and resources to run and manage containerized applications. It ensures high availability, scalability, and fault tolerance for the applications deployed within it.
NEW QUESTION # 55
Which is NOT a valid use case for leveraging the Oracle Cloud Infrastructure (OCI) Events service?
- A. Capturing the OCI Monitoring service alarms and invoking autoscaling of compute instances.
- B. Triggering a function deployed in Oracle Functions when new files are uploaded to an OCI Object Storage bucket.
- C. Triggering a notification action when a function completes its execution.
- D. Publishing a notification when long-lived tasks complete, such as an OCI Autonomous Database backup completion.
- E. Publishing all the OCI resource events in a specific compartment to the OCI Streaming service for later analysis.
Answer: A
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 # 56
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 src field.
- B. The OCI Logging service is set up to pre access logs by creating a log group and custom log within the same compartment.
- C. The logconfig.json file has incorrect or missing OCID for the custom log in the logobjectId field.
- D. The logconfig.json file has incorrect or missing information in the application namespace in the paths field.
- E. The logconfig.json file has incorrect or missing OCID for the custom log group in the logGroupObjectId field.
Answer: C,E
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 Reference: Unified Monitoring Agent Configuration File
NEW QUESTION # 57
Which testing strategy achieves high velocity of deployments and releases of cloud native applications? (Choose the best answer.)
- A. A/B testing
- B. Integration testing
- C. Automated testing
- D. Penetration testing
Answer: C
Explanation:
The testing strategy that achieves high velocity of deployments and releases of cloud native applications is "Automated testing." Automated testing involves the use of automated tools and frameworks to execute tests, validate functionality, and detect issues or bugs in an application. By automating the testing process, developers and DevOps teams can rapidly test and validate code changes, ensuring that new features and updates are functioning correctly before being deployed to production. This approach helps increase the speed and efficiency of the testing process, allowing for faster and more frequent deployments of cloud native applications.
NEW QUESTION # 58
You are developing a serverless application with Oracle Functions and Oracle Cloud Infrastructure Object Storage. Your function needs to read a JSON file object from an Object Storage bucket named "input-bucket" in compartment "qa-compartment". Your corporate security standards mandate the use of Resource Principals for this use case. Which two statements are needed to implement this use case? (Choose two.)
- A. Set up a policy to grant all functions read access to the bucket: allow all functions in compartment qa-compartment to read objects in target.bucket.name= "input-bucket'
- B. Set up a policy to grant your user account read access to the bucket: allow user XYZ to read objects in compartment qa-compartment where target.bucket.name= "input-bucket'
- C. No policies are needed. By default, every function has read access to Object Storage buckets in the tenancy.
- D. Set up a policy with the following statement to grant read access to the bucket: allow dynamic-group read-file-dg to read objects in compartment qa- compartment where target.bucket.name= 'input-bucket'
- E. Set up the following dynamic group for your function's OCID: Name: read-file-dg Rule: resource.id = "ocid1.fnfunc.oc1.phx.aaaaaaaakeaobctakezjz5i4ujj7g25q7sx5m vr55pms6f4da'
Answer: D,E
Explanation:
The correct answers are: Set up the following dynamic group for your function's OCID: Name: read-file-dg Rule: resource.id = "ocid1.fnfunc.oc1.phx.aaaaaaaakeaobctakezjz5i4ujj7g25q7sx5mvr55pms6f4da" Set up a policy with the following statement to grant read access to the bucket: Statement: allow dynamic-group read-file-dg to read objects in compartment qa-compartment where target.bucket.name = 'input-bucket' Explanation:: To implement the use case of reading a JSON file object from an Object Storage bucket using Resource Principals with Oracle Functions, you need to configure the following: Create a dynamic group named "read-file-dg" and associate it with your function's OCID. This dynamic group helps identify the function as a member of the group for policy enforcement. Create a policy that grants read access to the bucket. The policy statement should allow the dynamic group "read-file-dg" to read objects in the compartment "qa-compartment" and specify the target bucket name as "input-bucket". This policy ensures that the function has the necessary permissions to access the specified bucket. By setting up the dynamic group and policy, you ensure that the function, as a member of the dynamic group, has the required read access to the specified Object Storage bucket in the specified compartment.
NEW QUESTION # 59
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. Number of times a function Is removed
- B. Length of time a function runs
- C. Amount of CPU used by a function
- D. Number of times a function is invoked
- E. Amount of RAM used by a function
Answer: C,E
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 # 60
What is the maximum execution time of Oracle Functions?
- A. 120 seconds
- B. 60 seconds
- C. 300 seconds
- D. 240 seconds
Answer: C
Explanation:
The maximum execution time of Oracle Functions is 300 seconds, which is equivalent to 5 minutes. This means that a function running within Oracle Functions cannot exceed a runtime of 5 minutes. If a function requires longer execution times, alternative approaches such as invoking external services asynchronously or using long-running processes should be considered. It is important to design functions with this execution time limitation in mind to ensure optimal performance and efficiency within the Oracle Functions platform.
NEW QUESTION # 61
Which concept in OCI Queue is responsible for hiding a message from other consumers for a predefined amount of time after it has been delivered to a consumer?
- A. Delivery count
- B. Maximum retention period
- C. Polling timeout
- D. Visibility timeout
Answer: D
Explanation:
Visibility timeout is the concept in OCI Queue that is responsible for hiding a message from other consumers for a predefined amount of time after it has been delivered to a consumer1. The visibility timeout can be set at the queue level when creating a queue, or it can be specified when consuming or updating messages1. If a consumer is having difficulty successfully processing a message, it can update the message to extend its invisibility1. If a message's visibility timeout is not extended, and the consumer does not delete the message, it returns to the queue1. Verified Reference: Overview of Queue
NEW QUESTION # 62
Which of the following TWO statements are TRUE about deleting a Kubernetes cluster? (Choose two.)
- A. Changing the auto-generated name of a worker node does not affect the deletion of the worker node when the cluster in which it is created is deleted.
- B. You cannot change the autogenerated names of the worker nodes in the format oke-c<part-of cluster- CCID>-<part-of-node-pool-OCID>-<part-of-subnet-OCID>-<slot> within a Kubernetes cluster.
- C. Upon deleting a cluster, no other resources created during the cluster creation process or associated with the cluster (such as VCNS. Internet Gateways, NAT Gateways, Route Tables, Security Lists. Load Balancers, and Block Volumes) are deleted automatically.
- D. Upon deleting a cluster, other resources created during the cluster creation process or associated with the cluster (such as VCNS, Internet Gateways, NAT Gateways, Route Tables, Security Lists, B. Load Balancers, and Block Volumes) are deleted automatically.
- E. If you change the auto-generated name of a worker node and then delete the cluster, the renamed worker node is not deleted.
Answer: C,E
Explanation:
The correct statements about deleting a Kubernetes cluster are: If you change the auto-generated name of a worker node and then delete the cluster, the renamed worker node is not deleted. Changing the name of a worker node does not affect its deletion when the cluster is deleted. The cluster deletion process does not consider the renamed worker nodes and will delete all worker nodes associated with the cluster. Upon deleting a cluster, no other resources created during the cluster creation process or associated with the cluster (such as VCNs, Internet Gateways, NAT Gateways, Route Tables, Security Lists, Load Balancers, and Block Volumes) are deleted automatically. These additional resources are not automatically deleted when the cluster is deleted. You need to manage the deletion of these resources separately, if desired. Therefore, the correct statements are that the renamed worker nodes are not deleted when the cluster is deleted, and other associated resources are not automatically deleted when the cluster is deleted.
NEW QUESTION # 63
What is the open source engine for Oracle Functions?
- A. Fn Project
- B. OpenFaas
- C. Knative
- D. Apache OpenWhisk
Answer: A
Explanation:
The Fn Project is an open source serverless computing platform that serves as the engine for Oracle Functions. It provides a runtime environment for executing functions in a serverless architecture. The Fn Project enables developers to build and deploy functions using different programming languages, including Java, Python, Node.js, and more. The Fn Project is designed to be flexible and extensible, allowing developers to define functions as small units of code and execute them in response to events or triggers. It supports event-driven execution, allowing functions to be triggered by various events such as HTTP requests, messages from messaging systems, or changes in data. Oracle Functions leverages the Fn Project as its underlying engine, providing a managed serverless platform within the Oracle Cloud Infrastructure. It allows developers to easily develop, deploy, and manage functions using the familiar Fn Project framework and tooling. With Oracle Functions, developers can focus on writing their function code while leaving the infrastructure management, scaling, and operational tasks to the platform.
NEW QUESTION # 64
You plan to implement logging in your services that will run in Oracle Cloud Infrastructure (OCI) Container Engine for Kubernetes (OKE). Which statement describes the appropriate logging approach?
- A. Each service logs to its own log file.
- B. All serviceAAs log to a shared log file.
- C. All services log to an external logging system.
- D. All services log to standard output only.
Answer: D
Explanation:
The appropriate logging approach for services running in Oracle Cloud Infrastructure (OCI) Container Engine for Kubernetes (OKE) is: "All services log to standard output only." When running services in a containerized environment like OKE, it is recommended to follow the Twelve-Factor App methodology, which suggests treating logs as event streams. According to this methodology, services should write their log events to standard output (stdout) instead of writing to log files. By logging to standard output, the container runtime (such as Kubernetes) can collect and aggregate the logs generated by the services. These logs can then be accessed and managed through the container runtime's logging infrastructure. Logging to standard output offers several advantages in a containerized environment: Simplicity and consistency: Standardizing on logging to stdout ensures a consistent approach across different services, making it easier to manage and analyze logs. Log aggregation: The container runtime can collect the logs from all the running containers and provide centralized log management, allowing you to access and search logs from different services in one place. Scalability: Since logs are written to stdout, they can be easily handled by the container runtime's log management system, which can scale to handle large volumes of log data. Separation of concerns: By logging to stdout, the responsibility of managing log files and their rotation is shifted to the container runtime, allowing the services to focus on their core functionality. While it is possible to log to log files or external logging systems, the recommended approach in a containerized environment like OKE is to log to standard output and leverage the logging infrastructure provided by the container runtime.
NEW QUESTION # 65
(CHK_4>2) Which TWO statements are NOT valid regarding the Oracle Cloud Infrastructure (OCI) Streaming service? (Choose two.)
- A. OCI Streaming can support up to 2,000 requests per second to each partition.
- B. A stream can be configured with either a public or a private endpoint with support for customer managed encryption keys.
- C. Although OCI Streaming automatically encrypts all data while in transit, it is the developer's responsibility to encrypt data at rest, if needed.
- D. The throughput of a stream is defined by a partition. A partition provides 1 MB/sec data input and 2 MB/sec data output.
- E. OCI Streaming stores all data for 24 hours by default, but that can be extended up to 7 days.B
Answer: A,B
Explanation:
The two statements that are NOT valid regarding the Oracle Cloud Infrastructure (OCI) Streaming service are: A stream can be configured with either a public or a private endpoint with support for customer managed encryption keys. This statement is not valid because the OCI Streaming service currently supports only private endpoints. Customer managed encryption keys are not currently supported for OCI Streaming. OCI Streaming can support up to 2,000 requests per second to each partition. This statement is not valid because the throughput of a stream is not defined by the partition in terms of requests per second. The throughput of a stream is defined in terms of data input and output rates. Each partition provides 1 MB/sec data input and 2 MB/sec data output, but it does not correspond to a specific number of requests per second. The other statements are valid: OCI Streaming stores all data for 24 hours by default, but that can be extended up to 7 days. Although OCI Streaming automatically encrypts all data while in transit, it is the developer's responsibility to encrypt data at rest, if needed.
NEW QUESTION # 66
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