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NEW QUESTION: 1
Cloud Service A is hosted by Virtual Server A, which is hosted by Hypervisor A on Physical Server A.
Virtual Server B is hosted by Hypervisor B on Physical Server B.
Cloud Service Consumer A accesses Cloud Service A and the request is intercepted by an SLA monitor (1). Cloud Service A receives the request (2) and accesses Cloud Storage Device A and Cloud Storage Device B (3).
Cloud Service Consumer A belongs to Organization A, which is leasing all of the IT resources shown in the figure as part of an laaS environment.

Cloud Storage Device B has a higher performance capacity than Cloud Storage Device A.
Cloud Storage Device C has a higher performance capacity than Cloud Storage Device B.
The requests being received by Cloud Service A from Cloud Service Consumer A have recently increased in both quantity and in the amount of data being queried, written and read from Cloud Storage Device A.
As a result, Cloud Storage Device A's capacity is frequently reached and it has become unstable at times, timing out with some requests and rejecting other requests.
Cloud Storage Device C is used by Organization A to store backup data on a daily basis.
One day, a hardware failure within Cloud Storage Device C results in the permanent loss of data. Organization A requires a system that will prevent this type of failure from resulting in data loss.
The cloud provider is planning to implement a routine maintenance schedule for Cloud Storage Devices A, B, and C and issues a notice stating that the new schedule will start next week. An outage of 30 minutes every Thursday and Sunday at 8:00 PM is needed for the maintenance tasks. Upon hearing this, Organization A complains that they cannot afford to have Cloud Storage Devices A and B become inoperable, especially not during the weekdays.
Which of the following statements describes a solution that can address Organization A's issues?
A. The Cross-Storage Device Vertical Tiering pattern can be applied to enable dynamic scaling between Cloud Storage Devices A, B and C.
The Redundant Storage pattern can be applied by designating Cloud Storage Device D as the secondary storage to which Organization A's data can be replicated. In order to prevent planned or unplanned outages from affecting Organization A's data access, the Storage Maintenance Window pattern can be applied to replicate the data in Cloud Storage Device D for retrieval before the outages begin.
B. The Load Balanced Virtual Switches pattern can be applied to increase the bandwidth of Physical Server A so that data processing problems within Cloud Storage Device A can be prevented. The Non-Disruptive Service Relocation pattern can be applied to automatically relocate Cloud Storage Device A to Physical Server B so that data access is not interrupted. The Storage Maintenance Window pattern can be applied to replicate the data in Cloud Storage Device D for retrieval before the outages begin.
C. The Intra-Storage Device Vertical Data Tiering pattern can be applied to enable dynamic scaling between Cloud Storage Devices A, B and C.
The Dynamic Failure Detection and Recovery pattern can be applied to establish a resilient watchdog system that is able to respond dynamically to prevent data loss. The Service State Management pattern can be applied to keep a copy of the data in Cloud Storage Devices A, B and C during the maintenance outages.
D. None of the above.
Answer: A

NEW QUESTION: 2
A company is developing a new machine learning model solution in AWS. The models are developed as independent microservices that fetch about 1 GB of model data from Amazon S3 at startup and load the data into memory. Users access the models through an asynchronous API. Users can send a request or a batch of requests and specify where the results should be sent.
The company provides models to hundreds of users. The usage patterns for the models are irregular Some models could be unused for days or weeks Other models could receive batches of thousands of requests at a time ' Which solution meets these requirements?
A. The requests from the API are sent to an Application Load Balancer (ALB) Models are deployed as AWS Lambda functions invoked by the ALB.
B. The requests from the API are sent to the model's Amazon Simple Queue Service (Amazon SQS) queue.
Models are deployed as Amazon Elastic Container Service (Amazon ECS) services reading from the queue AWS App Mesh scales the instances of the ECS cluster based on the SQS queue size'
C. The requests from the API are sent to the models Amazon Simple Queue Service (Amazon SQS) queueModels are deployed as Amazon Elastic Container Service (Amazon ECS) services reading from the queue AWS Auto Scaling .s enabled on Amazon ECS for both the cluster and copies of the service based on the queue size.
D. The requests from the API are sent to the models Amazon Simple Queue Service (Amazon SQS) queue.
Models are deployed as AWS Lambda functions triggered by SQS events AWS Auto Scaling is enabled on Lambda to increase the number of vCPUs based on the SQS queue size
Answer: C

NEW QUESTION: 3
Ihr Netzwerk enthält drei Active Directory-Gesamtstrukturen.
Sie erstellen einen Microsoft Azure Active Directory-Mandanten.
Sie möchten das lokale Active Directory (Azure AD) synchronisieren.
Sie müssen eine Synchronisierungslösung empfehlen. Die Lösung muss sicherstellen, dass die Synchronisierung erfolgreich und so schnell wie möglich abgeschlossen werden kann, wenn ein einzelner Server ausfällt.
Was sollten Sie in die Empfehlung aufnehmen?
A. Ein Azure AD Connect-Synchronisierungsserver Ein Azure AD Connect-Synchronisierungsserver im Staging-Modus
B. Drei Azure AD Connect-Synchronisierungsserver und drei Azure AD Connect-Synchronisierungsserver im Staging-Modus
C. Drei Azure AD Connect-Synchronisierungsserver und ein Azure AD Connect-Synchronisierungsserver im Staging-Modus
D. sechs Azure AD Connect-Synchronisierungsserver und drei Azure AD Connect-Synchronisierungsserver im Staging-Modus
Answer: A