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Download Oracle Cloud Infrastructure 2022 Developer Professional Exam Dumps

NEW QUESTION 40
You have deployed a Python application on Oracle Cloud Infrastructure Container Engine for Kubernetes. However, during testing you found a bug that you rectified and created a new Docker image. You need to make sure that if this new Image doesn’t work then you can roll back to the previous version.
Using kubectl, which deployment strategies should you choose?

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

Answer: C

Explanation:
Using Blue-Green Deployment to Reduce Downtime and Risk:
>Blue-green deployment is a technique that reduces downtime and risk by running two identical production environments called Blue and Green. At any time, only one of the environments is live, with the live environment serving all production traffic. For this example, Blue is currently live and Green is idle.
This technique can eliminate downtime due to app deployment. In addition, blue-green deployment reduces risk: if something unexpected happens with your new version on Green, you can immediately roll back to the last version by switching back to Blue.

>Canary deployments are a pattern for rolling out releases to a subset of users or servers. The idea is to first deploy the change to a small subset of servers, test it, and then roll the change out to the rest of the servers. The canary deployment serves as an early warning indicator with less impact on downtime: if the canary deployment fails, the rest of the servers aren’t impacted.
>A/B testing is a way to compare two versions of a single variable, typically by testing a subject’s response to variant A against variant B, and determining which of the two variants is more effective
>Rolling update offers a way to deploy the new version of your application gradually across your cluster.
References:
https://docs.cloudfoundry.org/devguide/deploy-apps/blue-green.html

 

NEW QUESTION 41
A pod security policy (PSP) is implemented in your Oracle Cloud Infrastructure Container Engine for Kubernetes cluster Which rule can you use to prevent a container from running as root using PSP?

  • A. forbiddenRoot
  • B. MustRunAsNonRoot
  • C. NoPrivilege
  • D. RunOnlyAsUser

Answer: B

Explanation:
What is a Pod Security Policy?
A Pod Security Policy is a cluster-level resource that controls security sensitive aspects of the pod specification. The PodSecurityPolicy objects define a set of conditions that a pod must run with in order to be accepted into the system, as well as defaults for the related fields. They allow an administrator to control the following:
Privilege Escalation
These options control the allowPrivilegeEscalation container option. This bool directly controls whether the no_new_privs flag gets set on the container process. This flag will prevent setuid binaries from changing the effective user ID, and prevent files from enabling extra capabilities (e.g. it will prevent the use of the ping tool). This behavior is required to effectively enforce MustRunAsNonRoot.
example:
# Require the container to run without root privileges.
rule: ‘MustRunAsNonRoot’
Reference:
https://kubernetes.io/docs/concepts/policy/pod-security-policy/

 

NEW QUESTION 42
Which two are benefits of distributed systems?

  • A. Ease of testing
  • B. Resiliency
  • C. Security
  • D. Privacy
  • E. Scalability

Answer: B,E

Explanation:
distributed systems of native-cloud like functions that have a lot of benefit like Resiliency and availability Resiliency and availability refers to the ability of a system to continue operating, despite the failure or sub-optimal performance of some of its components.
In the case of Oracle Functions:
The control plane is a set of components that manages function definitions.
The data plane is a set of components that executes functions in response to invocation requests.
For resiliency and high availability, both the control plane and data plane components are distributed across different availability domains and fault domains in a region. If one of the domains ceases to be available, the components in the remaining domains take over to ensure that function definition management and execution are not disrupted.
When functions are invoked, they run in the subnets specified for the application to which the functions belong. For resiliency and high availability, best practice is to specify a regional subnet for an application (or alternatively, multiple AD-specific subnets in different availability domains). If an availability domain specified for an application ceases to be available, Oracle Functions runs functions in an alternative availability domain.
Concurrency and Scalability
Concurrency refers to the ability of a system to run multiple operations in parallel using shared resources. Scalability refers to the ability of the system to scale capacity (both up and down) to meet demand.
In the case of Functions, when a function is invoked for the first time, the function’s image is run as a container on an instance in a subnet associated with the application to which the function belongs. When the function is executing inside the container, the function can read from and write to other shared resources and services running in the same subnet (for example, Database as a Service). The function can also read from and write to other shared resources (for example, Object Storage), and other Oracle Cloud Services.
If Oracle Functions receives multiple calls to a function that is currently executing inside a running container, Oracle Functions automatically and seamlessly scales horizontally to serve all the incoming requests. Oracle Functions starts multiple Docker containers, up to the limit specified for your tenancy. The default limit is 30 GB of RAM reserved for function execution per availability domain, although you can request an increase to this limit. Provided the limit is not exceeded, there is no difference in response time (latency) between functions executing on the different containers.

 

NEW QUESTION 43
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