Get instant access to 1z0-1084-23 Practice Tests 2024 Free Updated Today!
Welcome to download the newest PassLeader 1z0-1084-23 PDF dumps ( 100 Q&As)
NEW QUESTION # 16
Which of these is a valid use case for OCI Queue?
- A. Storing and retrieving large files
- B. Sending real-time streaming data
- C. Building decoupled and scalable systems
- D. Managing network traffic between services
Answer: C
Explanation:
OCI Queue is a fully managed serverless service that helps decouple systems and enable asynchronous operations2. Queue handles high-volume transactional data that requires independently processed messages without loss or duplication2. A valid use case for OCI Queue is building decoupled and scalable systems, such as event-driven architectures or microservices-based applications2. For example, you can use Queue to decouple your application and build an event-driven architecture. Decoupling ensures that individual application components can scale independently and that you can future-proof your design so that as new application components are built, they can publish or subscribe to the queue2.
NEW QUESTION # 17
Which statement best describes the term "cloud native"?
- A. Cloud native refers to the design and deployment of applications that are optimized for cloud infrastructure.
- B. Cloud native refers to the use of cloud infrastructure to run traditional on-premises applications.
- C. Cloud native refers to the process of migrating applications from on-premises infrastructure to the cloud.
- D. Cloud native refers to the use of cloud-based development tools to build traditional on-premises applications.
Answer: A
Explanation:
Explanation
Cloud native is the software approach of building, deploying, and managing modern applications in cloud computing environments3. Cloud native apps are designed and built to exploit the scale, elasticity, resiliency, and flexibility the cloud provides4. Cloud native technologies support fast and frequent changes to applications without impacting service delivery, providing adopters with an innovative, competitive advantage3. Therefore, cloud native refers to the design and deployment of applications that are optimized for cloud infrastructure. Verified References: What is Cloud Native? - Everything you need to know, What is Cloud Native?| Microsoft Learn
NEW QUESTION # 18
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. Blue/Green Deployment
- B. Canary Deployment
- C. A/B Testing
- D. Rolling Update
Answer: D
Explanation:
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 # 19
You have a containerized application that requires access to an Autonomous Transaction Processing (ATP) Database. Which option is NOT valid when the container is deployed in an OKE cluster? (Choose the best answer.)
- A. Install the Oracle Cloud Infrastructure Service Broker on the Kubernetes cluster and deploy ServiceInstance and ServiceBinding resources for ATP. Then use the specified binding name as a volume in the application deployment manifest.
- B. Create a Kubernetes secret with contents from the instance Wallet files. Use this secret to create a volume mounted to the appropriate path in the application deployment manifest.
- C. Use Kubernetes secrets to configure environment variables on the container with ATP instance OCID, and OCI API credentials. Then use the CreateConnection API endpoint from the service runtime.
- D. Enable Oracle REST Data Services for the required schemas and connect via HTTPS.
Answer: A
Explanation:
The option that is not valid for connecting to an Autonomous Transaction Processing (ATP) Database from a container in Kubernetes is: Install the Oracle Cloud Infrastructure Service Broker on the Kubernetes cluster and deploy ServiceInstance and ServiceBinding resources for ATP. Then use the specified binding name as a volume in the application deployment manifest. The Oracle Cloud Infrastructure Service Broker is not used for connecting to an ATP Database from a container in Kubernetes. The Service Broker is used for provisioning and managing cloud services directly from Kubernetes. It allows you to create and manage instances of OCI services using Kubernetes resources like ServiceInstance and ServiceBinding. To connect to an ATP Database from a container in Kubernetes, you can use one of the following valid options: Enable Oracle REST Data Services for the required schemas and connect via HTTPS. This involves enabling and configuring Oracle REST Data Services (ORDS) for the schemas in the ATP Database. You can then connect to the ATP Database using RESTful endpoints provided by ORDS. Use Kubernetes secrets to configure environment variables on the container with ATP instance OCID and OCI API credentials. Then use the CreateConnection API endpoint from the service runtime. This approach involves configuring the necessary environment variables on the container to provide the ATP instance OCID and OCI API credentials. The application can then use the OCI SDK or REST API (such as the CreateConnection endpoint) to establish a connection to the ATP Database. Create a Kubernetes secret with contents from the instance Wallet files. Use this secret to create a volume mounted to the appropriate path in the application deployment manifest. This method involves creating a Kubernetes secret that contains the necessary credentials from the ATP Database's instance wallet files. The secret can then be mounted as a volume in the application deployment, allowing the application to access the required credentials for connecting to the ATP Database. Both options 1 and 3 provide valid approaches for connecting to an ATP Database from a container in Kubernetes, depending on the specific requirements and preferences of the application.
NEW QUESTION # 20
Kubernetes includes various elements such as compute, network, and storage. Compute is essentially CPU (units) and memory (bytes). Within an OKE cluster, what is considered to be the smallest unit of deployment with respect to compute?
- A. Namespace
- B. Pod
- C. Container
- D. Service
- E. Deployment resource
Answer: B
Explanation:
A pod is the smallest and simplest unit in the Kubernetes object model that you create or deploy2. A pod represents a single instance of a running process in your cluster. Pods contain one or more containers, such as Docker containers. When you create a pod, you define how much CPU and memory (RAM) each container needs. A pod can also include storage volumes, IP addresses, options that govern how the container(s) should run, and more2. Pods are the basic building blocks of larger Kubernetes constructs such as deployments, replica sets, and services2.
NEW QUESTION # 21
In the DevOps lifecycle, what is the difference between continuous delivery and continuous deployment?
(Choose two.)
- A. Continuous delivery involves automation of developer tasks, while continuous deployment involves manual operational tasks.
- B. Continuous delivery is a process that initiates deployment manually, while continuous deployment is based on automating the deployment process.
- C. Continuous delivery utilizes automatic deployment to a development environment, while continuous deployment involves automatic deployment to a production environment.
- D. Continuous delivery requires more automatic linting, while continuous deployment testing must be run manually.
Answer: B,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 involves 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 # 22
Which testing measure should be considered when using test cases that simultaneously validate a deployment and perform a selected set of functional tasks?
- A. Functionality
- B. Resource Utilization
- C. Robust Deployment
- D. Scalability
- E. Resiliency
Answer: C
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 # 23
You are creating an API deployment in Oracle Cloud Infrastructure (OCI) API Gateway and you want to configure request policies to control access. Which is NOT available in OCI API Gateway?
- A. Limiting the number of requests sent to the backend services.
- B. Controlling access to the backend OCI resources.
- C. Providing authentication and authorization.
- D. Enabling Cross-Origin Resource Sharing (CORS) support.
Answer: B
Explanation:
The correct answer is: Controlling access to the backend OCI resources. OCI API Gateway does not provide direct control over access to backend OCI resources. It primarily focuses on managing and securing access to APIs exposed through the gateway. The gateway acts as a front-end for APIs and provides features such as authentication, authorization, rate limiting, and CORS support. While you can configure authentication and authorization policies, limit the number of requests, and enable CORS support in OCI API Gateway, it does not directly control access to backend OCI resources. Access to backend resources is typically managed through other means, such as IAM policies, network security rules, or resource-specific access controls.
NEW QUESTION # 24
Which of the following is defined as a configurable, low-latency infrastructure layer that controls the interaction between a network of microservices? (Choose the best answer.)
- A. Kubernetes
- B. Service Mesh
- C. Containers
- D. DevOps
- E. CI/CD Pipelines
Answer: B
Explanation:
The correct answer is "Service Mesh." A service mesh is a configurable, low-latency infrastructure layer that controls the interaction between a network of microservices. It provides functionalities such as service discovery, load balancing, traffic management, security, and observability for microservices-based applications. It is designed to improve communication and manage the complex interactions between services within a distributed system. Service mesh frameworks like Istio and Linkerd are commonly used to implement service mesh architecture.
NEW QUESTION # 25
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. idle-timeout
- C. access-timeout
- D. None, as this time is not configurable.
Answer: B
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 # 26
What is the difference between blue/green and canary deployment strategies? (Choose the best answer.)
- A. In blue/green, current applications are slowly replaced with new ones. In canary, the application Is deployed Incrementally to a select group of people.
- B. In blue/green, the application Is deployed In minor Increments to a select group of people. In canary, both old and new applications are simultaneously in production.
- C. In blue/green, both old and new applications are in production at the same time. In canary, the application Is deployed incrementally to a select group of people.
- D. In blue/green, current applications are slowly replaced with new ones. In canary, both old and new applications are in production at the same time.
Answer: C
Explanation:
Explanation
The correct answer is: In blue/green deployment, both old and new applications are in production at the same time. In canary deployment, the application is deployed incrementally to a select group of people. In a blue/green deployment strategy, two identical environments, referred to as blue and green, are set up. The current production environment (blue) continues to serve live traffic while a new version of the application is deployed in the green environment. Once the new version is tested and deemed stable, traffic is routed from the blue environment to the green environment, making it the new production environment. This approach allows for a seamless switch between the old and new versions of the application. On the other hand, in a canary deployment strategy, the new version of the application is deployed incrementally to a small subset of users or a specific group. This allows for testing the new version in a real production environment while minimizing the impact of any potential issues. If the new version performs well and meets the desired criteria, it can be gradually rolled out to a larger audience or the entire user base. In summary, the main difference between blue/green and canary deployment strategies lies in how the deployment is managed. Blue/green involves simultaneous production of both old and new applications, while canary deployment focuses on incremental deployment to a select group of users.
NEW QUESTION # 27
You have been asked to update an OKE cluster to a network configuration that has the least attack surface while the deployed applications are still directly available for access from the Internet. Which is a valid OKE cluster network configuration that meets this requirement? (Choose the best answer.)
- A. Private subnet for the Kubemetes API endpoint; public subnets for nodes and load balancers
- B. Private subnets for nodes, the Kubemetes API endpoint, and load balancers
- C. Private subnets for nodes; public subnets for the Kubemetes API endpoint and load balancers
- D. Private subnets for nodes and the Kubemetes API endpoint; public subnets for load balancers
Answer: D
Explanation:
Explanation
The valid OKE cluster network configuration that meets the requirement of having the least attack surface while still allowing direct access to the deployed applications from the Internet is: Private subnets for nodes and the Kubernetes API endpoint; public subnets for load balancers. By placing the nodes and the Kubernetes API endpoint in private subnets, they are not directly accessible from the Internet, reducing the attack surface.
The load balancers, on the other hand, are placed in public subnets, allowing them to be accessed from the Internet and serve as the entry point for accessing the deployed applications. This configuration ensures that the critical components of the cluster, such as the nodes and the API endpoint, are protected within the private network, while still providing accessibility to the applications through the load balancers. It helps to enhance security by limiting direct access to the internal components of the cluster while maintaining the availability of the deployed applications.
NEW QUESTION # 28
Which is NOT a valid option to execute a function deployed in Oracle Functions?
- A. Trigger by an event in the Oracle Cloud Infrastructure (OCI) Events service.
- B. Invoke from the Fn Project CLI.
- C. Invoke from the OCI CLI.
- D. Send signed HTTP requests to the function's invoke endpoint.
- E. Invoke from the Docker CLI.
Answer: E
Explanation:
The correct answer is: Invoke from the Docker CLI. Executing a function deployed in Oracle Functions is typically done using the following options: Invoke from the Fn Project CLI: The Fn Project CLI provides a command-line interface specifically designed for interacting with Oracle Functions. You can use commands like fn invoke to invoke a function. Trigger by an event in the Oracle Cloud Infrastructure (OCI) Events service: You can configure events in OCI to trigger your function based on various criteria, such as object storage events, resource state changes, or scheduled events. Invoke from the OCI CLI: The OCI CLI (Command Line Interface) allows you to interact with various services in Oracle Cloud Infrastructure, including Oracle Functions. You can use the fn invoke command to invoke a function. Send signed HTTP requests to the function's invoke endpoint: Oracle Functions provides an HTTP endpoint that can be used to invoke functions. You can send signed HTTP requests to this endpoint using tools or programming languages that support making HTTP requests. On the other hand, invoking a function deployed in Oracle Functions using the Docker CLI is not a valid option. The Docker CLI is primarily used for managing Docker containers and images, and it does not provide a direct mechanism for invoking functions in Oracle Functions.
NEW QUESTION # 29
A developer using Oracle Cloud Infrastructure (OCI) API Gateway needs to authenticate the API requests to their web application. The authentication process must be implemented using a custom scheme which accepts string-based parameters from the API caller. Which approach should the developer use in this scenario?
- A. Create a cross account functions authorizer.
- B. Create an authorizer function using token-based authorization.
- C. Create an authorizer function using OCI Identity and Access Management 91AM) based authentication.
- D. Create an authorizer function using request header authorization.
Answer: B
Explanation:
In the given scenario, the developer should use the approach of creating an authorizer function using token-based authorization. Token-based authorization is a commonly used approach for authenticating API requests. It involves generating and issuing tokens to API callers, which they can then include in the requests they make to the API. The tokens serve as proof of authentication and are validated by the server to ensure the caller's identity and access rights. By creating an authorizer function using token-based authorization, the developer can implement a custom scheme that accepts string-based parameters from the API caller. This allows the developer to define their own authentication logic and validate the provided tokens according to their requirements. The authorizer function can be configured in the OCI API Gateway to be invoked before forwarding the request to the web application. It will perform the necessary token validation and authentication checks, allowing only authorized requests to access the protected resources of the web application.
NEW QUESTION # 30
Which one of the following is NOT a valid backend-type supported by Oracle Cloud Infrastructure (OCI) API Gateway?
- A. ORACLE_FUNCTIONS_BACKEND
- B. HTTP BACKEND
- C. STOCK_RESPONSE_BACKEND
- D. ORACLE_STREAMS_BACKEND
Answer: D
Explanation:
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 # 31
......
Feb-2024 Latest PremiumVCEDump 1z0-1084-23 Exam Dumps with PDF and Exam Engine: https://pass4lead.premiumvcedump.com/Oracle/valid-1z0-1084-23-premium-vce-exam-dumps.html