Current 1z0-1084-23 Exam Dumps [2024] Complete Oracle Exam Smoothly
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Oracle 1z0-1084-23 Exam Syllabus Topics:
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NEW QUESTION # 24
Which of the following is NOT a criterion that is usually met by a microservice?
- A. Highly maintainable
- B. Independently deployable
- C. Tightly coupled
- D. Organized around business capabilities.
Answer: C
Explanation:
The correct answer is: "Tightly coupled." Tightly coupling is not a criterion that is usually met by a microservice. In fact, microservices are designed to be loosely coupled. Loosely coupling refers to reducing dependencies and minimizing the direct interactions between different components or services. Microservices promote independence and autonomy, allowing each service to operate independently without being tightly bound to other services. The other options listed are criteria that are typically met by microservices: Organized around business capabilities: Microservices architecture suggests designing services around specific business capabilities or functionalities. This allows for focused and specialized services that align with the organization's business needs. Independently deployable: Microservices are designed to be independently deployable units. Each microservice can be developed, tested, and deployed separately, without impacting other services. This enables agility and scalability in the deployment process. Highly maintainable: Microservices are often designed to be highly maintainable. They are smaller in scope and focused on specific tasks, making it easier to manage and maintain individual services. Additionally, microservices can be updated, patched, or replaced without affecting the entire system, facilitating easier maintenance and evolution of the application. Therefore, the criterion that is NOT typically met by a microservice is being tightly coupled.
NEW QUESTION # 25
You developed a microservices-based application that runs in an Oracle Cloud Infrastructure (OCI) Container Engine for Kubernetes (OKE) cluster. Your security team wants to use SSL termination for this application.
What should you do to create a secure SSL termination for this application using the fewest steps possible?
- A. Create a self-signed certificate and its corresponding key. Create a Kubernetes secret using the certificate and the key. Then add these annotations to the Kubernetes service: annotations:
service.beta.kubernetes.io/oci-load-balancer-ssl-ports: "443"service.beta.kubernetes.io/oci-load-balancer-tls-secret: ssl certificate-secret - B. Create a self-signed certificate and its corresponding key. Create a Kubernetes secret using the certificate and the key. Then add these annotations to the Kubernetes service: annotations:
service.beta.kubernetes.io/oci-load-balancer-ssl-ports: "443"
service.beta.kubernetes.io/oci-load-balancer-security-list management-mode: "Frontend" - C. Add these annotations to the kubernetes service: annotations:
service.beta.kubernetes.io/oci-load-balancer-ssl-ports: "443"
service.beta.kubernetes.io/oci-load-balancer-ssl-secret-key: ssl secret-key - D. Generate a self-signed certificate using Let's Encrypt. Use that certificate on OCI Load Balancer. Create the Kubernetes service using this load balancer.
Answer: A
Explanation:
Explanation
The correct answer is: "Create a self-signed certificate and its corresponding key. Create a Kubernetes secret using the certificate and the key. Then add these annotations to the Kubernetes service: annotations:
service.beta.kubernetes.io/oci-load-balancer-ssl-ports: '443'
service.beta.kubernetes.io/oci-load-balancer-tls-secret: ssl certificate-secret." To create a secure SSL termination for your microservices-based application running in an OCI Container Engine for Kubernetes (OKE) cluster, you can follow these steps: Create a self-signed certificate and its corresponding key: Generate a self-signed SSL certificate and its private key using a tool like OpenSSL. Create a Kubernetes secret: Create a Kubernetes secret using the certificate and key obtained in the previous step. This secret will securely store the certificate and key within the Kubernetes cluster. Add annotations to the Kubernetes service: Modify the Kubernetes service that exposes your application and add the following annotations to enable SSL termination:
annotations: service.beta.kubernetes.io/oci-load-balancer-ssl-ports: '443' (specify the SSL port as 443) annotations: service.beta.kubernetes.io/oci-load-balancer-tls-secret: ssl certificate-secret (specify the name of the Kubernetes secret containing the certificate and key) By following these steps, you can create a secure SSL termination for your application using a self-signed certificate and Kubernetes secret. The annotations added to the Kubernetes service ensure that the SSL port is configured correctly and the TLS secret is utilized for SSL termination when traffic reaches the load balancer. The other options provided are not the most suitable approaches for achieving secure SSLtermination in an OCI Container Engine for Kubernetes (OKE) cluster:
Adding annotations related to the OCI load balancer SSL secret key is not the correct approach for SSL termination in this scenario. Using Let's Encrypt to generate a self-signed certificate and configuring it on the OCI Load Balancer is not necessary when you can create and manage the SSL certificate within the Kubernetes cluster using a Kubernetes secret.
NEW QUESTION # 26
Which TWO statements are correct regarding Docker images and containers? (Choose two.)
- A. Only one container can be spawned from a given image at a time.
- B. A container can exist without an image but an image cannot exist without a container.
- C. Writing and building a new Dockerfile is the only way you can create new Docker images.
- D. An image is a collection of immutable layers whereas a container is a running instance of an image.
- E. If multiple containers are spawned from the same image, then they all use the same copy of that image in memory.
Answer: D,E
Explanation:
Explanation
Which TWO statements are correct regarding Docker images and containers? (Choose two.) Writing and building a new Dockerfile is the only way you can create new Docker images. A container can exist without an image but an image cannot exist without a container. Only one container can be spawned from a given image at a time. If multiple containers are spawned from the same image, then they all use the same copy of that image in memory. (Correct) An image is a collection of immutable layers whereas a container is a running instance of an image. (Correct) ChatGPT The correct statements regarding Docker images and containers are:
If multiple containers are spawned from the same image, then they all use the same copy of that image in memory. This statement is correct. When multiple containers are created from the same Docker image, they share the underlying layers of the image in memory. Each container has its own isolated filesystem and runtime environment, but they all use the same base image, which helps in efficient resource utilization. An image is a collection of immutable layers whereas a container is a running instance of an image. This statement is also correct. Docker images are composed of multiple layers, with each layer representing a specific change or addition to the previous layer. These layers are read-only and can be shared among multiple containers. On the other hand, a container is a lightweight and isolated runtime instance created from a specific image. It is a running process that has its own filesystem, network, and runtime configuration. The statements
"Writing and building a new Dockerfile is the only way you can create new Docker images" and "A container can exist without an image but an image cannot exist without a container" are incorrect. Docker images can be created in various ways, including using Dockerfiles, importing from existing images, or pulling from registries. Additionally, a container requires an image to run, so an image must exist before a container can be created from it.
NEW QUESTION # 27
Which one of the following is NOT a valid backend-type supported by Oracle Cloud Infrastructure (OCI) API Gateway?
- A. STOCK_RESPONSE_BACKEND
- B. ORACLE_STREAMS_BACKEND
- C. ORACLE_FUNCTIONS_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 # 28
(CHK_4>2) You have a scenario where a DevOps team wants to store secrets in Oracle Cloud Infrastructure (OCI) Vault so that it can inject the secrets into an app's environment variables (for example, MYSQL_DB_PASSWD) at deployment time. Which is NOT valid about managing secrets in the OCI Vault service?
- A. A secret reuse rule prevents the use of secret contents across different versions of a secret.
- B. New secret versions automatically expire in 90 days unless you configure an expiry rule.
- C. A unique OCID is automatically generated for each secret and remains unchanged even when creating a new secret version.
- D. You can manually create new secrets as well as new secret versions using the OCI Console:
Answer: C
Explanation:
The correct answer is: "A unique OCID is automatically generated for each secret and remains unchanged even when creating a new secret version." The statement that is NOT valid about managing secrets in the OCI Vault service is: "A unique OCID is automatically generated for each secret and remains unchanged even when creating a new secret version." In OCI Vault, a secret is identified by its OCID (Oracle Cloud Identifier), which is a unique identifier for each resource in Oracle Cloud Infrastructure. However, when a new secret version is created for an existing secret, the OCID remains the same for the secret itself, but a new OCID is generated for the secret version. This allows you to track and manage different versions of a secret while maintaining a consistent OCID for the secret itself. The other statements mentioned are valid: You can manually create new secrets as well as new secret versions using the OCI Console. This means you have control over creating and managing secrets within the Vault service. A secret reuse rule prevents the use of secret contents across different versions of a secret. This ensures that each secret version maintains its own unique set of contents and avoids accidental reuse or sharing of secrets across versions. By default, new secret versions automatically expire in 90 days unless you configure an expiry rule. This helps enforce good security practices by automatically rotating secrets periodically, reducing the risk of unauthorized access in case of compromise. Therefore, the statement that is NOT valid is the one regarding the uniqueness and consistency of the OCID when creating new secret versions.
NEW QUESTION # 29
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. CI/CD Pipelines
- B. DevOps
- C. Service Mesh
- D. Kubernetes
- E. Containers
Answer: C
Explanation:
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 # 30
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. Canary Deployment
- B. Blue/Green Deployment
- C. Component Testing
- D. A/B Testing
Answer: A
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.
NEW QUESTION # 31
Which THREE are valid statements regarding the OCI Container Engine for Kubernetes (OKE) service? (Choose three.)
- A. You must have access to an Oracle Cloud Infrastructure tenancy. Your tenancy must have sufficient quota on different types of resources.
- B. OKE automatically creates and configures new network resources for the new cluster.
- C. OKE cannot use existing network resources for the creation of a new cluster.
- D. There is a limit of three clusters within each region, but there is no limit on the number of nodes and pods you can create within each cluster.
Answer: A,B,D
Explanation:
The valid statements regarding the OCI Container Engine for Kubernetes (OKE) service are: OKE automatically creates and configures new network resources for the new cluster. When creating a new OKE cluster, the service automatically provisions and configures the necessary network resources, such as VCNs, subnets, route tables, security lists, and load balancers, to support the cluster. Your tenancy must have sufficient quota on different types of resources. Before creating an OKE cluster, you need to ensure that your Oracle Cloud Infrastructure (OCI) tenancy has sufficient quota for the required resources, such as compute instances, block storage, networking resources, and load balancers. You must have access to an Oracle Cloud Infrastructure tenancy. To use the OKE service, you need to have access to an OCI tenancy. This means you must have a valid OCI account and the necessary permissions to create and manage resources within the tenancy. The following statements are not valid: OKE cannot use existing network resources for the creation of a new cluster. OKE creates new network resources specifically for the cluster, and it does not support using existing network resources. There is a limit of three clusters within each region, but there is no limit on the number of nodes and pods you can create within each cluster. This statement is incorrect. There is no specific limit on the number of clusters you can create within a region in OKE. However, there may be certain limits or quotas on resources that can impact the number of clusters you can create.
NEW QUESTION # 32
A company is developing a new application that needs to process transactions in real time. The company wants to ensure that all transactions are processed in order and that no transaction is lost. Which of these is a correct strategy for leveraging OCI Queue in this scenario?
- A. Use a priority queue to prioritize requests.
- B. Use a separate queue for each application instance.
- C. Use a separate queue for each type of transaction.
- D. Use a single queue to process all transactions.
Answer: D
Explanation:
OCI Queue is a service for enabling asynchronous (decoupled) communication in a serverless manner3. Queue handles high-volume transactional data that requires independent processing without loss or duplication3. Queue supports ordering of messages within a queue by using the FIFO (first-in-first-out) delivery option3. Therefore, using a single queue to process all transactions ensures that all transactions are processed in order and that no transaction is lost. Verified Reference: Overview of Queue
NEW QUESTION # 33
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 utilizes automatic deployment to a development environment, while continuous deployment involves automatic deployment to a production environment.
- C. Continuous delivery requires more automatic linting, while continuous deployment testing must be run manually.
- D. Continuous delivery is a process that initiates deployment manually, while continuous deployment is based on automating the deployment process.
Answer: B,D
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 # 34
Which of the following is NOT a criterion that is usually met by a microservice?
- A. Highly maintainable
- B. Independently deployable
- C. Tightly coupled
- D. Organized around business capabilities.
Answer: C
Explanation:
Explanation
The correct answer is: "Tightly coupled." Tightly coupling is not a criterion that is usually met by a microservice. In fact, microservices are designed to be loosely coupled. Loosely coupling refers to reducing dependencies and minimizing the direct interactions between different components or services. Microservices promote independence and autonomy, allowing each service to operate independently without being tightly bound to other services. The other options listed are criteria that are typically met by microservices: Organized around business capabilities: Microservices architecture suggests designing services around specific business capabilities or functionalities. This allows for focused and specialized services that align with the organization's business needs. Independently deployable: Microservices are designed to be independently deployable units. Each microservice can be developed, tested, and deployed separately, without impacting other services. This enables agility and scalability in the deployment process. Highly maintainable:
Microservices are often designed to be highly maintainable. They are smaller in scope and focused on specific tasks, making it easier to manage and maintain individual services. Additionally, microservices can be updated, patched, or replaced without affecting the entire system, facilitating easier maintenance and evolution of the application. Therefore, the criterion that is NOT typically met by a microservice is being tightly coupled.
NEW QUESTION # 35
Which term describes a group formed by a master machine and a worker machine in a Kubernetes architecture?
- A. Cluster
- B. Node
- C. Container
- D. Pod
- E. Deployment
Answer: A
Explanation:
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 # 36
From a DevOps process standpoint, it is a good practice to keep changes to an application under version control. Which of the following allows changes to a Docker image to be stored in a version control system?
- A. Updating docker-compose.yml
- B. Executing docker save
- C. Updating Dockerfile
- D. Executing docker commit
Answer: D
Explanation:
Explanation
The option that allows changes to a Docker image to be stored in a version control system is: docker commit The docker commit command is used to create a new image from a container's changes. It takes a running container as input, captures the changes made to it, and creates a new image with those changes. This new image can then be tagged and pushed to a registry, or saved locally. By using docker commit, you can effectively capture the changes made to a container as a new image and store it in a version control system along with the Dockerfile and other project files. This allows for reproducibility and traceability of changes to the Docker image over time.
NEW QUESTION # 37
Which is NOT a valid backend-type option available when configuring an Oracle Cloud Infrastructure (OCI) API Gateway Deployment?
- A. ORACLE STREAMS_BACKEND
- B. ORACLE_FUNCTIONS_BACKEND
- C. HTTP_BACKEND
Answer: A
Explanation:
When configuring an OCI API Gateway deployment, you need to specify the backend type for each route in your API deployment specification3. The backend type determines how the API gateway handles requests to that route and forwards them to the appropriate backend service3. The following backend types are valid options for an OCI API Gateway deployment3:
HTTP_BACKEND: The API gateway forwards requests to an HTTP or HTTPS URL as the backend service.
ORACLE_FUNCTIONS_BACKEND: The API gateway invokes an Oracle Functions function as the backend service.
STOCK_RESPONSE_BACKEND: The API gateway returns a stock response without invoking any backend service. ORACLE STREAMS_BACKEND is not a valid backend type for an OCI API Gateway deployment. Oracle Streams is a fully managed, scalable, and durable messaging service that you can use to ingest and consume large amounts of data in real-time4. However, Oracle Streams is not supported as a backend service for an OCI API Gateway deployment.
NEW QUESTION # 38
As a cloud-native developer, you are designing an application that depends on Oracle Cloud Infrastructure (OCI) Object Storage wherever the application is running. Therefore, provisioning of storage buckets should be part of your Kubernetes deployment process for the application. Which of the following should you leverage to meet this requirement? (Choose the best answer.)
- A. Oracle Functions
- B. OCI Service Broker for Kubernetes
- C. OCI Container Engine for Kubernetes
- D. Open Service Broker API
Answer: B
Explanation:
To provision storage buckets as part of your Kubernetes deployment process for an application that depends on Oracle Cloud Infrastructure (OCI) Object Storage, you should leverage the OCI Service Broker for Kubernetes. OCI Service Broker for Kubernetes enables you to provision and manage OCI resources, including Object Storage buckets, directly from Kubernetes. It provides a Kubernetes-native experience for managing OCI services, allowing you to define and manage OCI resources as part of your application deployment process. By using the OCI Service Broker for Kubernetes, you can define the required Object Storage buckets in your Kubernetes manifests, and the service broker will handle the provisioning and management of those buckets in OCI, ensuring that they are available for your application wherever it is running.
NEW QUESTION # 39
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