Oracle Cloud Certified Official Practice Test 1z0-1084-23 - Jan-2024 [Q53-Q78]

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Oracle Cloud Certified Official Practice Test 1z0-1084-23 - Jan-2024

Ace Oracle 1z0-1084-23 Certification with Actual Questions Jan 17, 2024 Updated


Oracle 1z0-1084-23 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Monitoring & Troubleshooting Cloud Native Applications
  • Create integration between systems using the OCI streaming service
Topic 2
  • Develop Serverless Applications with Oracle Functions
  • Explain the fundamentals of cloud-native and discuss the key pillars of cloud-native development
Topic 3
  • Utilize OCI Monitoring service to view metrics
  • Build events-driven serverless applications using OCI event service
Topic 4
  • Discuss the role of container orchestration
  • Discuss various strategies for testing cloud-native applications
Topic 5
  • Leverage OCI Service Mesh for Kubernetes Deployment
  • Explain the microservices architecture and discuss the design methodology of microservices
Topic 6
  • Facilitate asynchronous messaging for microservices with OCI Queue
  • Leveraging Serverless Technologies for Cloud Native Development
Topic 7
  • Cloud Native Applications And Containerization
  • Use OCI Logging service to enable, manage, and search logs
Topic 8
  • Explain cloud-native testing and discuss measures for testing cloud-native applications
  • Develop and deploy containerized applications on OKE

 

NEW QUESTION # 53
You want to push a new image in the Oracle Cloud Infrastructure (OCI) Registry. Which TWO actions would you need to perform? (Choose two.)

  • A. Assign an OCI defined tag via OCI CLI to the image.
  • B. Assign a tag via Docker CLI to the image.
  • C. Generate an API signing key to complete the authentication via Docker CLI.
  • D. Generate an auth token to complete the authentication via Docker CLI.
  • E. Generate an OCI tag namespace in your repository.

Answer: B,D

Explanation:
Explanation
To push a new image to the Oracle Cloud Infrastructure (OCI) Registry, you would need to perform the following two actions: Assign a tag via Docker CLI to the image: Before pushing the image, you need to assign a tag to it using the Docker CLI. The tag helps identify the image and associate it with a specific version or label. Generate an auth token to complete the authentication via Docker CLI: To authenticate and authorize the push operation, you need to generate an auth token. This token is used to authenticate your Docker CLI with the OCI Registry, allowing you to push the image securely. Note: Generating an API signing key, assigning an OCI defined tag via OCI CLI, and generating an OCI tag namespace are not required steps for pushing a new image to the OCI Registry.


NEW QUESTION # 54
Which TWO are characteristics of microservices? (Choose two.)

  • A. Microservices can be independently deployed.
  • B. All microservices share a data store.
  • C. Microservices can be implemented in limited number of programming languages.
  • D. Microservices communicate over lightweight APIs.
  • E. Microservices are hard to test in isolation.

Answer: A,D

Explanation:
Explanation
The two characteristics of microservices are: Microservices can be independently deployed: One of the key principles of microservices architecture is the ability to independently deploy each microservice. This means that changes or updates to one microservice can be made and deployed without affecting other microservices.
It allows for faster and more frequent deployments, enabling agile development and scalability. Microservices communicate over lightweight APIs: Microservices communicate with each other through lightweight APIs (Application Programming Interfaces). This enables loose coupling between microservices, as they can interact with each other using standard protocols like HTTP/REST or messaging systems like RabbitMQ or Kafka. Lightweight APIs facilitate flexibility and interoperability between microservices, making it easier to develop and maintain complex systems. The remaining statement, "All microservices share a data store," is not a characteristic of microservices. Microservices are designed to be autonomous and have their own data storage or database. Each microservice has its own data store, which promotes the principle of bounded contexts and avoids tight coupling between services. This allows for better scalability and independence of data management within each microservice.


NEW QUESTION # 55
You are tasked with developing an application that requires the use of Oracle Cloud Infrastructure (OCI) APIs to POST messages to a stream in the OCI Streaming service. Which statement is incorrect? (Choose the best answer.)

  • A. The request does not require an Authorization header.
  • B. The Content-Type header must be set to application/json
  • C. The request must include an authorization signing string including (but not limited to) x-content-sha256, content-type, and content-length headers.
  • D. An HTTP 401 will be returned if the client's clock is skewed more than 5 minutes from the server's.

Answer: A

Explanation:
The statement that is incorrect is: "The request does not require an Authorization header." In order to POST messages to a stream in the OCI Streaming service using OCI APIs, the request does require an Authorization header. The Authorization header is used to provide authentication and ensure the request is authorized to access the stream. The correct approach is to include the Authorization header in the request, along with other required headers such as x-content-sha256, content-type, and content-length. Therefore, the incorrect statement is that the request does not require an Authorization header.\


NEW QUESTION # 56
A service you are deploying to Oracle Cloud Infrastructure (OCI) Container Engine for Kubernetes (OKE) uses a docker image from a private repository in OCI Registry (OCIR). Which configuration is necessary to provide access to this repository from OKE?

  • A. Create a docker-registry secret for OCIR with identity Auth Token on the cluster, and specify the imagePullSecret property in the application deployment manifest.
  • B. Add a generic secret on the cluster containing your identity credentials. Then specify a registryCredentials property in the deployment manifest.
  • C. Create a dynamic group for nodes in the cluster, and a policy that allows the dynamic group to read repositories in the same compartment.
  • D. Create a docker-registry secret for OCIR with API key credentials on the cluster, and specify the imagePullSecret property in the application deployment manifest.

Answer: A

Explanation:
The necessary configuration to provide access to a private repository in OCI Registry (OCIR) from OCI Container Engine for Kubernetes (OKE) is to create a docker-registry secret for OCIR with an identity Auth Token on the cluster and specify the imagePullSecret property in the application deployment manifest. Here's the breakdown of the steps: Create a docker-registry secret for OCIR with an identity Auth Token: In order to authenticate with the private repository in OCIR, you need to create a secret in your OKE cluster that contains the necessary credentials. This can be done by generating an identity Auth Token from the OCI Console and creating a secret in the cluster using the kubectl command. Specify the imagePullSecret property in the application deployment manifest: In your application's deployment manifest (such as a Kubernetes Deployment or StatefulSet YAML file), you need to include the imagePullSecret property and specify the name of the secret you created in the previous step. This allows the OKE cluster to use the credentials from the secret to pull the docker image from the private repository in OCIR during deployment. By following these steps, you can ensure that your OKE cluster has the necessary access to the private repository in OCIR, and your application can successfully pull the required docker image during deployment.


NEW QUESTION # 57
Which one of the following is NOT a valid backend-type supported by Oracle Cloud Infrastructure (OCI) API Gateway?

  • A. ORACLE_FUNCTIONS_BACKEND
  • B. ORACLE_STREAMS_BACKEND
  • C. STOCK_RESPONSE_BACKEND
  • D. HTTP BACKEND

Answer: B

Explanation:
Oracle Cloud Infrastructure (OCI) API Gateway supports various backend-types to handle incoming requests and route them to the appropriate backend service. However, "ORACLE_STREAMS_BACKEND" is not a valid backend-type in OCI API Gateway. "STOCK_RESPONSE_BACKEND" is a valid backend-type that allows you to configure static responses directly in the API Gateway without routing requests to any specific backend service. This can be useful for handling simple requests or returning predefined responses. "HTTP BACKEND" is another valid backend-type that enables routing requests to an HTTP backend service. "ORACLE_FUNCTIONS_BACKEND" is a valid backend-type that allows you to route requests to Oracle Functions, which are serverless functions that can be used to execute specific logic or operations. However, "ORACLE_STREAMS_BACKEND" is not a valid backend-type in OCI API Gateway. The API Gateway does not have native support for Oracle Streams as a backend service. Oracle Streams is a feature of Oracle Database that provides a publish-subscribe mechanism for data replication and distribution within an Oracle Database environment. It is not directly integrated as a backend service in OCI API Gateway.


NEW QUESTION # 58
You are using Oracle Cloud Infrastructure (OCI) Resource Manager to manage your infrastructure lifecycle and wish to receive an email each time a Terraform action begins. How should you use the OCI Events service to do this without writing any code?

  • A. Create an OCI Notification topic and email subscription with the destination email address. Then create an OCI Events rule matching "Resource Manager Job - Create" condition, and select the notification topic for the corresponding action.
  • B. Create an OCI Email Delivery configuration with the destination email address. Then create an OCI Events rule matching "Resource Manager Job - Create" condition, and select the email configuration for the corresponding action.
  • C. Create an OCI Notifications topic and email subscription with the destination email address. Then create an OCI Events rule matching "Resource Manager Stack - Update" condition, and select the notification topic for the corresponding action.
  • D. Create a rule in OCI Events service matching the "Resource Manager Stack - Update" condition. Then select "Action Type: Email" and provide the destination email address.

Answer: A

Explanation:
The correct approach to receive an email each time a Terraform action begins in Oracle Cloud Infrastructure (OCI) Resource Manager without writing any code is as follows: Create an OCI Notification topic and email subscription with the destination email address. This will define the email delivery configuration. Create an OCI Events rule that matches the "Resource Manager Job - Create" condition. This rule will be triggered when a Resource Manager job is created. In the OCI Events rule, select the notification topic that was created in step 1 as the action for the corresponding event. This will ensure that the notification is sent to the specified email address. By following these steps, you can configure the OCI Events service to send an email notification whenever a Resource Manager job is created in OCI Resource Manager.


NEW QUESTION # 59
Who is responsible for patching, upgrading, and maintaining the worker nodes in Oracle Cloud Infrastructure (OCI) Container Engine for Kubernetes (OKE)? (Choose the best answer.)

  • A. Independent Software Vendors
  • B. It is automated
  • C. Oracle Support
  • D. The user

Answer: D

Explanation:
The user is responsible for patching, upgrading, and maintaining the worker nodes in Oracle Cloud Infrastructure (OCI) Container Engine for Kubernetes (OKE). In OKE, the user has control over the worker nodes, which are the compute instances that run the Kubernetes worker components. As the user, you are responsible for managing and maintaining these worker nodes, including tasks such as patching the underlying operating system, upgrading Kubernetes versions, and performing any necessary maintenance activities. While Oracle provides the underlying infrastructure and support services, including managing the control plane and ensuring the availability of the OKE service, the responsibility for managing the worker nodes lies with the user. This allows you to have control and flexibility in managing your Kubernetes environment according to your specific needs and requirements.


NEW QUESTION # 60
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. 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. Capturing the OCI Monitoring service alarms and invoking autoscaling of compute instances.
  • E. Publishing all the OCI resource events in a specific compartment to the OCI Streaming service for later analysis.

Answer: D

Explanation:
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 # 61
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. access-timeout
  • C. idle-timeout
  • D. None, as this time is not configurable.

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 Reference: Creating Functions, Provisioned Concurrency


NEW QUESTION # 62
What is the difference between continuous delivery and continuous deployment in the DevOps methodology?
(Choose the best answer.)

  • A. Continuous delivery involves automation of developer tasks, whereas continuous deployment involves manual operational tasks.
  • B. Continuous delivery requires automatic linting, whereas continuous deployment testing must be run manually.
  • C. Continuous delivery utilizes automatic deployment to a development environment, whereas continuous deployment involves automatic deployment to a production environment.
  • D. Continuous delivery is a process that Initiates deployment manually, whereas continuous deployment is based on automating the deployment process.

Answer: C

Explanation:
Explanation
The two correct differences between continuous delivery and continuous deployment in the DevOps lifecycle are: Continuous delivery is a process that initiates deployment manually, while continuous deployment is based on automating the deployment process. In continuous delivery, the software is ready for deployment, but the decision to deploy is made manually by a human. On the other hand, continuous deployment automates the deployment process, and once the software passes all the necessary tests and quality checks, it is automatically deployed without human intervention. Continuous delivery utilizes automatic deployment to a development environment, while continuous deployment involves automatic deployment to a production environment. In continuous delivery, the software is automatically deployed to a development or staging environment for further testing and validation. However, the actual deployment to the production environment is performed manually. In continuous deployment, the software is automatically deployed to the production environment, eliminating the need for manual intervention in the deployment process. These differences highlight the level of automation and human involvement in the deployment process between continuous delivery and continuous deployment approaches in the DevOps lifecycle.


NEW QUESTION # 63
Your Oracle Cloud Infrastructure (OCI) Container Engine for Kubernetes (OKE) administrator has created an OKE cluster with one node pool in a public subnet. You have been asked to provide a log file from one of the nodes for troubleshooting purpose. Which step should you take to obtain the log file?

  • A. Use the username opc and password to login.
  • B. It is impossible because OKE is a managed Kubernetes service.
  • C. SSH into the nodes using the private key.
  • D. SSH into the node using the public key.

Answer: C

Explanation:
To obtain a log file from one of the nodes in an Oracle Cloud Infrastructure (OCI) Container Engine for Kubernetes (OKE) cluster, you should SSH into the nodes using the private key. Here's the step-by-step process: Obtain the private key: The private key is required to authenticate and access the nodes in the OKE cluster. You should obtain the private key from your administrator or the appropriate key pair used to create the cluster. SSH into the node: Use a secure shell (SSH) client, such as OpenSSH, to connect to the desired node in the cluster. The SSH command typically includes the private key file path and the public IP address or hostname of the node. Example command: ssh -i <private_key_file> opc@<node_public_ip> Replace <private_key_file> with the path to the private key file and <node_public_ip> with the public IP address of the node you want to access. Navigate to the log file location: Once you have successfully connected to the node, navigate to the directory where the log file is located. The exact location and name of the log file may vary depending on the Kubernetes distribution and configuration. Copy or view the log file: You can either copy the log file from the node to your local machine using the scp command or view the contents directly on the node using tools like cat or less. By following these steps, you will be able to access the log file from the desired node in the OKE cluster for troubleshooting purposes.


NEW QUESTION # 64
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. Polling timeout
  • B. Visibility timeout
  • C. Maximum retention period
  • D. Delivery count

Answer: B

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 # 65
A developer has created another version of a microservice and wants 10% of the traffic to flow towards it for testing purposes. The application is already configured using OCI (Oracle Cloud Infrastructure) Service Mesh. Which of the following steps is the right approach to achieve this goal?

  • A. Create a new entry in the routeRules field of the virtual service route table manifest to configure traffic splitting between the old and new versions of the microservice and set the percentage to 10%.
  • B. Use Kubernetes HPA (Horizontal Pod Autoscaler) to scale the new version of the microservice to handle 10% of the traffic automatically.
  • C. Create a new entry in the routeRules field of the ingress gateway route table manifest to configure traffic splitting between the old and new versions of the microservice and set the percentage to 10%.
  • D. Create a new Kubernetes deployment for the new version of the microservice and set the traffic splitting percentage to 10% in the Kubernetes service manifest.

Answer: A


NEW QUESTION # 66
You are developing a real-time monitoring application for a fleet of vehicles, which will be deployed on Oracle Cloud Infrastructure (OCI). You need to choose between using OCI Queue or OCI Streaming to handle the real-time data feeds from the vehicles. Based on the scenario described, which is the most appropriate choice for handling real-time data feeds?

  • A. OCI Streaming, because it is designed for high-volume, continuous ingestion and processing of data, making it the best choice for a fleet of vehicles
  • B. OCI Queue, because it provides at-least-once message delivery, which is critical for real-time monitoring applications
  • C. OCI Queue, because it is optimized for low-latency messaging and ideal for real-time applications
  • D. OCI Streaming, because it offers exactly-once message delivery, which is necessary for real-time applications

Answer: A

Explanation:
OCI Streaming is a fully managed, scalable, and durable messaging solution for ingesting continuous, high-volume streams of data that you can consume and process in real-time1. Streaming is suitable for any use case in which data is produced and processed continually and sequentially in a publish-subscribe messaging model1. Streaming can handle millions of messages per second with low latency2. Therefore, OCI Streaming is the most appropriate choice for handling real-time data feeds from a fleet of vehicles. Verified Reference: Overview of Streaming, Container Engine for Kubernetes


NEW QUESTION # 67
Which feature is typically NOT associated with Cloud Native?

  • A. Application Servers
  • B. Containers
  • C. Immutable Infrastructure
  • D. Declarative APIs
  • E. Service Meshes

Answer: A

Explanation:
Explanation
The feature that is typically NOT associated with Cloud Native is "Application Servers." Cloud Native architecture emphasizes lightweight, scalable, and containerized deployments, which often replace traditional monolithic application servers. Instead of relying on application servers, Cloud Native applications are typically deployed as containerized microservices that can be orchestrated and managed using container orchestration platforms like Kubernetes. This approach enables greater flexibility, scalability, and agility in deploying and managing applications. While application servers have been widely used in traditional application architectures, they are not a characteristic feature of Cloud Native architectures. Cloud Native architectures focus on containerization, declarative APIs, immutable infrastructure, and service meshes to enable efficient and scalable deployment and management of applications.


NEW QUESTION # 68
A service you are deploying to Oracle Cloud Infrastructure (OCI) Container Engine for Kubernetes (OKE) uses a docker image from a private repository in OCI Registry (OCIR). Which configuration is necessary to provide access to this repository from OKE?

  • A. Create a docker-registry secret for OCIR with identity Auth Token on the cluster, and specify the imagePullSecret property in the application deployment manifest.
  • B. Add a generic secret on the cluster containing your identity credentials. Then specify a registryCredentials property in the deployment manifest.
  • C. Create a dynamic group for nodes in the cluster, and a policy that allows the dynamic group to read repositories in the same compartment.
  • D. Create a docker-registry secret for OCIR with API key credentials on the cluster, and specify the imagePullSecret property in the application deployment manifest.

Answer: A

Explanation:
Explanation
The necessary configuration to provide access to a private repository in OCI Registry (OCIR) from OCI Container Engine for Kubernetes (OKE) is to create a docker-registry secret for OCIR with an identity Auth Token on the cluster and specify the imagePullSecret property in the application deployment manifest. Here's the breakdown of the steps: Create a docker-registry secret for OCIR with an identity Auth Token: In order to authenticate with the private repository in OCIR, you need to create a secret in your OKE cluster that contains the necessary credentials. This can be done by generating an identity Auth Token from the OCI Console and creating a secret in the cluster using the kubectl command. Specify the imagePullSecret property in the application deployment manifest: In your application's deployment manifest (such as a Kubernetes Deployment or StatefulSet YAML file), you need to include the imagePullSecret property and specify the name of the secret you created in the previous step. This allows the OKE cluster to use the credentials from the secret to pull the docker image from the private repository in OCIR during deployment. By following these steps, you can ensure that your OKE cluster has the necessary access to the private repository in OCIR, and your application can successfully pull the required docker image during deployment.


NEW QUESTION # 69
In the shared responsibility model, who should perform patching, upgrading, and maintaining of the worker nodes in provisioned Oracle Container Engine for Kubernetes (OKE) clusters?

  • A. It is the responsibility of the customer.
  • B. It is an automated process.
  • C. Oracle Support does it.

Answer: A

Explanation:
Explanation
In the shared responsibility model, Oracle is responsible for securing the underlying cloud infrastructure and platform services, while customers are responsible for securing theirdata and applications within the cloud4. For provisioned OKE clusters, Oracle manages the control plane (master nodes) of the Kubernetes cluster, while customers manage the data plane (worker nodes) of the cluster5. Therefore, it is the responsibility of the customer to perform patching, upgrading, and maintaining of the worker nodes in provisioned OKE clusters5. Customers can use tools such as Terraform or kubectl to automate these tasks5.


NEW QUESTION # 70
Which TWO statements are true for serverless computing and serverless architectures? (Choose two.)

  • A. Long running tasks are perfectly suited for serverless.
  • B. Applications running on a FaaS (Functions as a Service) platform.
  • C. Serverless function state should never be stored externally.
  • D. Application DevOps team is responsible for scaling.
  • E. Serverless function execution is fully managed by third party.

Answer: B,E

Explanation:
The two true statements for serverless computing and serverless architectures are: Applications running on a FaaS (Functions as a Service) platform: Serverless architectures typically involve running code in the form of functions on a serverless platform. These functions are event-driven and executed in response to specific triggers or events. Serverless function execution is fully managed by a third party: In serverless computing, the cloud provider takes care of the infrastructure management and resource provisioning. The execution of serverless functions is handled automatically by the platform, relieving developers from the responsibility of managing servers or infrastructure. It's important to note that long running tasks are not typically suited for serverless architectures due to the event-driven nature of serverless functions. Also, while serverless functions may have state, it is recommended to avoid external storage dependencies and instead leverage stateless functions whenever possible. Additionally, scaling in serverless architectures is typically handled automatically by the platform, rather than being the responsibility of the application DevOps team.


NEW QUESTION # 71
With the volume of communication that can happen between different components in cloud-native applications, it is vital to not only test functionality, but also service resiliency. Which statement is true regarding service resiliency?

  • A. Resiliency is about recovering from failures without downtime or data loss.
  • B. Resiliency is about not bringing a service to a functioning state after a failure.
  • C. Resiliency is about avoiding failures.
  • D. Resiliency testing can be done only in a test environment.

Answer: A

Explanation:
Explanation
The correct answer is: "Resiliency is about recovering from failures without downtime or data loss." Service resiliency, in the context of cloud-native applications, is the ability of a service or system to recover from failures and continue functioning without downtime or data loss. It involves designing and implementing mechanisms to handle failures, such as network outages, hardware failures, or software errors, in a way that minimizes the impact on the overall system. The goal of resiliency isto ensure that the application or service can continue to operate and provide a certain level of functionality, even in the face of failures. This typically involves techniques such as redundancy, fault tolerance, and graceful degradation. By implementing resiliency measures, a cloud-native application can recover and adapt to failures, maintain availability, and preserve data integrity. The other statements are not accurate regarding service resiliency: Resiliency is not about not bringing a service to a functioning state after a failure. Instead, it is about recovering from failures and ensuring continued functionality. Resiliency is not about avoiding failures entirely. While it is desirable to prevent failures, resiliency focuses on the ability to handle and recover from failures when they do occur.
Resiliency testing is not limited to a test environment. It is important to test and validate the resiliency measures in both test environments and production environments to ensure the application can effectively handle failures in real-world scenarios.


NEW QUESTION # 72
What is the open source engine for Oracle Functions?

  • A. Fn Project
  • B. OpenFaas
  • C. Apache OpenWhisk
  • D. Knative

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 # 73
Which testing measure should be considered when using test cases that simultaneously validate a deployment and perform a selected set of functional tasks?

  • A. Resource Utilization
  • B. Scalability
  • C. Functionality
  • D. Robust Deployment
  • E. Resiliency

Answer: D

Explanation:
The correct answer is: "Robust Deployment." When using test cases that simultaneously validate a deployment and perform a selected set of functional tasks, the testing measure that should be considered is "Robust Deployment." Robust Deployment refers to the ability of an application or system to be deployed reliably and consistently, without errors or failures. It involves ensuring that the deployment process is well-defined, automated, and able to handle different scenarios and configurations. When conducting testing that combines the validation of deployment and functional tasks, it is crucial to ensure that the deployment itself is robust. This means verifying that the application or system can be successfully deployed and configured without encountering deployment-related issues such as incorrect configurations, missing dependencies, or compatibility problems. By considering "Robust Deployment" as a testing measure, you can evaluate the reliability and effectiveness of the deployment process, ensuring that the application or system is deployed correctly and ready to perform the selected set of functional tasks.


NEW QUESTION # 74
Which statement about microservices is FALSE?

  • A. They are typically designed around business capabilities.
  • B. Multiple microservices can run in one process.
  • C. They are independently deployable.
  • D. It is fairly common for them to communicate with HTTP.

Answer: D

Explanation:
The correct answer is: "Multiple microservices can run in one process." The statement that is FALSE about microservices is: "Multiple microservices can run in one process." Microservices are designed to be independent and autonomous services that can be deployed, scaled, and managed separately. Each microservice typically runs as its own separate process. This separation allows for loose coupling and independent scalability of individual services. Running multiple microservices in a single process would violate the fundamental principle of microservices architecture, which emphasizes the isolation and independence of services. Combining multiple microservices into a single process would tightly couple them, making it difficult to independently manage, scale, and update each service. The other statements provided are true about microservices: It is fairly common for microservices to communicate with HTTP: Microservices often communicate with each other using lightweight protocols like HTTP/REST. This allows for interoperability, flexibility, and ease of communication between microservices. Microservices are typically designed around business capabilities: Microservices architecture advocates designing services based on specific business capabilities or functionalities. Each microservice focuses on a specific business domain or task, enabling modular and scalable development. They are independently deployable: Microservices are designed to be independently deployable units. This means that each microservice can be developed, tested, deployed, and updated separately without affecting other services. This flexibility allows for faster development cycles and more efficient scalability.


NEW QUESTION # 75
You are developing a polyglot serverless application using Oracle Functions. Which language cannot be used to write your function code?

  • A. Java
  • B. Python
  • C. Node.js
  • D. Go
  • E. PL/SQL

Answer: E

Explanation:
Explanation
Oracle Functions does not currently support PL/SQL as a language for writing function code. PL/SQL is a procedural language used in Oracle Database for developing stored procedures, triggers, and other database-related code. However, Oracle Functions supports several other popular programming languages such as Go, Node.js, Python, and Java, allowing developers to choose the language that best suits their application requirements and their familiarity with the language. While PL/SQL is powerful for working with the Oracle Database, it is not an option for writing function code in the Oracle Functions serverless architecture.


NEW QUESTION # 76
Which TWO are part of the Cloud Native Computing Foundation (CNCF) container runtime? (Choose two.)

  • A. getcd
  • B. rkt-o
  • C. containerd
  • D. runc

Answer: C,D

Explanation:
Explanation
The two components that are part of the Cloud Native Computing Foundation (CNCF) container runtime are:
containerd: containerd is an open-source container runtime that provides a runtime environment for containers, including managing container images, executing containers, and handling container lifecycle events. It is designed to be lightweight and extensible, providing the necessary functionality to run containers efficiently.
runc: runc is a lightweight container runtime that serves as a reference implementation of the Open Container Initiative (OCI) runtime specification. It is responsible for launching and managing containers based on OCI specifications, including handling container isolation, namespaces, cgroups, and other low-level container operations. These two components, containerd and runc, are widely used in the container ecosystem and are part of the CNCF's efforts to promote and develop open-source technologies for cloud-native computing.


NEW QUESTION # 77
To effectively test your cloud native applications for "unknown unknowns", you need to employ various testing and deployment strategies. Which strategy involves exposing new functionality or features to only a small set of users?

  • A. Component Testing
  • B. Canary Deployment
  • C. A/B Testing
  • D. Blue/Green Deployment

Answer: B

Explanation:
Explanation
The strategy that involves exposing new functionality or features to only a small set of users is called Canary Deployment. Canary deployment is a technique used in software development and deployment where a new version of an application or feature is released to a small subset of users or a specific group of servers. This allows for testing and gathering feedback on the new functionality in a controlled and limited environment before making it available to a wider audience. In a canary deployment, a small portion of the traffic is routed to the new version while the majority of the traffic still goes to the stable version. This allows for monitoring and evaluation of the new functionality in real-world conditions while minimizing the impact of any potential issues or bugs. If the new version performs well and meets the desired criteria, it can then be gradually rolled out to a larger user base or all servers. By exposing the new functionality or features to a small set of users initially, canary deployment helps in identifying any unforeseen issues, gathering feedback, and ensuring the stability and reliability of the application before a full deployment.


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