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Download Oracle Cloud Infrastructure 2022 Developer Professional Exam Dumps

NEW QUESTION 29
Which header is NOT required when signing GET requests to Oracle Cloud Infrastructure APIs?

• A. host
• B. date or x-date
• C. (request-target)
• D. content-type

Answer: D

Explanation:
Authorization Header
The Oracle Cloud Infrastructure signature uses the "Signature" Authentication scheme (with an Authorization header), and not the Signature HTTP header.
This section describes the headers that must be included in the signing string:
For GET and DELETE requests (when there's no content in the request body), the signing string must include at least these headers:
(request-target)
host
date or x-date (if both are included, Oracle uses x-date)
For PUT and POST requests (when there's content in the request body), the signing string must include at least these headers:
(request-target)
host
date or x-date (if both are included, Oracle uses x-date)
x-content-sha256 (except for Object Storage PUT requests; see the next section) content-type content-length References:
https://docs.cloud.oracle.com/en-us/iaas/Content/API/Concepts/signingrequests.htm

NEW QUESTION 30
Given a service deployed on Oracle Cloud Infrastructure Container Engine far Kubernetes (OKE), which annotation should you add in the sample manifest file below to specify a 400 Mbps load balancer?

• A. service, beta, kubernetes . io/oci-load-balancer-kind: 400Mbps
• B. service.beta.kubernetes.io/oci-load-balancer-size: 400Mbps
• C. service.beta.kubernetes.io/oci-load-balancer-shape: 400Mbps
• D. service.beta.kubernetes.io/oci-load-balancer-value: 400Mbps

Answer: C

Explanation:
Overview of Load Balancing:
SHAPE
A template that determines the load balancer's total pre-provisioned maximum capacity (bandwidth) for ingress plus egress traffic. Available shapes include 10Mbps, 100 Mbps, 400 Mbps, and 8000 Mbps.
oci-load-balancer-shape: A template that determines the load balancer's total pre-provisioned maximum capacity (bandwidth) for ingress plus egress traffic. Available shapes include 100Mbps, 400Mbps, and 8000Mbps. Cannot be modified after load balancer creation.
All annotations are prefixed with service.beta.kubernetes.io/. For example:
kind: Service
apiVersion: v1
metadata:
name: nginx-service
annotations:
service.beta.kubernetes.io/oci-load-balancer-shape: "400Mbps"
service.beta.kubernetes.io/oci-load-balancer-subnet1: "ocid..."
service.beta.kubernetes.io/oci-load-balancer-subnet2: "ocid..."
spec:
...
References:
https://docs.cloud.oracle.com/en-us/iaas/Content/Balance/Concepts/balanceoverview.htm
https://github.com/oracle/oci-cloud-controller-manager/blob/master/docs/load-balancer-annotations.md

NEW QUESTION 31
What is the difference between blue/green and canary deployment strategies?

• A. In blue/green, application Is deployed In minor increments to a select group of people. In canary, both old and new applications are simultaneously in production.
• B. In blue/green, current applications are slowly replaced with new ones. In < MW y, Application ll deployed incrementally to a select group of people.
• C. 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.
• D. In blue/green, both old and new applications are in production at the same time. In canary, application is deployed Incrementally to a select group of people.

Answer: D

Explanation:
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.
https://docs.cloudfoundry.org/devguide/deploy-apps/blue-green.html
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. ... Canaries were once regularly used in coal mining as an early warning system.
https://octopus.com/docs/deployment-patterns/canary-deployments

NEW QUESTION 32
You have been asked to create a stateful application deployed in Oracle Cloud Infrastructure (OCI) Container Engine for Kubernetes (OKE) that requires all of your worker nodes to mount and write data to persistent volumes.
Which two OCI storage services should you use?

• A. Use OCI Block Volume backed persistent volume.
• B. Use OCI File Services as persistent volume.
• C. Use open source storage solutions on top of OCI.
• D. Use OCI Object Storage as persistent volume.
• E. Use GlusterFS as persistent volume.

Answer: A,B

Explanation:
A PersistentVolume (PV) is a piece of storage in the cluster that has been provisioned by an administrator. PVs are volume plugins like Volumes, but have a lifecycle independent of any individual Pod that uses the PV.
A PersistentVolumeClaim (PVC) is a request for storage by a user. It is similar to a Pod. Pods consume node resources and PVCs consume PV resources.
If you intend to create Kubernetes persistent volumes, sufficient block volume quota must be available in each availability domain to meet the persistent volume claim. Persistent volume claims must request a minimum of 50 gigabytes You can define and apply a persistent volume claim to your cluster, which in turn creates a persistent volume that's bound to the claim. A claim is a block storage volume in the underlying IaaS provider that's durable and offers persistent storage, enabling your data to remain intact, regardless of whether the containers that the storage is connected to are terminated.
With Oracle Cloud Infrastructure as the underlying IaaS provider, you can provision persistent volume claims by attaching volumes from the Block Storage service.


https://oracle.github.io/weblogic-kubernetes-operator/faq/oci-fss-pv/
https://kubernetes.io/docs/concepts/storage/persistent-volumes/

NEW QUESTION 33
Which two are benefits of distributed systems?

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

Answer: A,B

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 34
......