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NEW QUESTION # 23
Per CAP theorem, in which scenario do you NOT need to make any trade-off between the guarantees?
- A. when you are using load balancers
- B. when the system is running on-premise
- C. when there are no network partitions
- D. when the system is running in the cloud
Answer: C
Explanation:
(1) CAP THEOREM
“CONSISTENCY, AVAILABILITY and PARTITION TOLERANCE are the features that we want in our distributed system together” Of three properties of shared-data systems (Consistency, Availability and tolerance to network Partitions) only two can be achieved at any given moment in time.
(2) In a distributed system, you can have both Consistency and Availability, except when there is a Partition:
Relaxing the consistency requirements usually makes it easier to maintain availability, but the CAP theorem is not an excuse to give up strong consistency across the board. A well-designed system can balance both availability and consistency while tolerating partitions over a range of tradeoffs, where eventual consistency is just one possibility.
References:
https://blogs.oracle.com/maa/the-cap-theorem:-consistency-and-availability-except-when-partitioned
NEW QUESTION # 24
Which header is NOT required when signing GET requests to Oracle Cloud Infrastructure APIs?
- A. date or x-date
- B. content-type
- C. (request-target)
- D. host
Answer: B
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 # 25
You are tasked with developing an application that requires the use of Oracle Cloud Infrastructure (OCI) APIs to POST messages to a stream in the OCI Streaming service.
Which statement is incorrect?
- A. An HTTP 401 will be returned if the client’s clock is skewed more than 5 minutes from the server’s.
- B. The request must include an authorization signing string including (but not limited to) x-content-sha256, content-type, and content-length headers.
- C. The Content-Type header must be Set to application/j son
- D. The request does not require an Authorization header.
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.
Required Credentials and OCIDs
You need an API signing key in the correct format. See Required Keys and OCIDs.
You also need the OCIDs for your tenancy and user. See Where to Get the Tenancy’s OCID and User’s OCID.
Summary of Signing Steps
In general, these are the steps required to sign a request:
Form the HTTPS request (SSL protocol TLS 1.2 is required).
Create the signing string, which is based on parts of the request.
Create the signature from the signing string, using your private key and the RSA-SHA256 algorithm.
Add the resulting signature and other required information to the Authorization header in the request.
References:
https://docs.cloud.oracle.com/en-us/iaas/Content/Streaming/Concepts/streamingoverview.htm
https://docs.cloud.oracle.com/en-us/iaas/Content/API/Concepts/signingrequests.htm
NEW QUESTION # 26
Which two are benefits of distributed systems?
- A. Resiliency
- B. Security
- C. Ease of testing
- D. Privacy
- E. Scalability
Answer: A,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 # 27
How do you perform a rolling update in Kubernetes?
- A. kubect1 rolling-update
- B. kubect1 upgrade <deployment-name> -image=*image:v2
- C. kubect1 rolling-update <deployment-name> -image=image
- D. kubect1 update -c <container>
Answer: B
Explanation:
https://docs.oracle.com/en/cloud/iaas/wercker-cloud/wercm/quickstarts/platforms/kubernetes/
NEW QUESTION # 28
……
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