Master Oracle 1Z0-1084-24 Exam with Reliable Practice Questions

Correct : B

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

Correct : A, B

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.

Correct : B

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.

Correct : A

To pull a Docker image from OCI Registry to the client machine, you need to use the docker pull command with the following syntax1: docker pull <region-key>.ocir.io/<tenancy-namespace>/<repo-name>:<tag> where:

<region-key> is the key for the OCI Registry region you're using. For example, iad.See Availability by Region1.

ocir.io is the OCI Registry name.

<tenancy-namespace> is the auto-generated Object Storage namespace string of the tenancy that owns the repository from which you want to pull the image (as shown on the Tenancy Information page)1.

<repo-name> is the name of the repository that contains the image you want to pull.

<tag> is the tag of the image you want to pull.

Correct : E

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.