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NEW QUESTION: 1
システム管理者が以下のポリシーを作成し、aws.jpgという名前のS3オブジェクトに適用しました。
aws.jpgは、cloudacademyという名前のバケット内にあります。
このポリシーは何を定義していますか？
"Statement": [{
"Sid": "Stmt1388811069831",
"Effect": "Allow",
"Principal": { "AWS": "*"},
"Action": [ "s3:GetObjectAcl", "s3:ListBucket", "s3:GetObject"],
"Resource": [ "arn:aws:s3:::cloudacademy/*.jpg"]
}]
A. パブリックとしてのaws.jpgオブジェクト
B. バケットクラウドアカデミーのすべてのオブジェクトを公開します
C. オブジェクトレベルでポリシーを定義することはできません
D. バケットクラウドアカデミーを公開します
Answer: C
Explanation:
A system admin can grant permission to the S3 objects or buckets to any user or make objects public using the bucket policy and user policy. Both use the JSON-based access policy language.
Generally if the user is defining the ACL on the bucket, the objects in the bucket do not inherit it and vice a versa. The bucket policy can be defined at the bucket level which allows the objects as well as the bucket to be public with a single policy applied to that bucket. It cannot be applied at the object level.

NEW QUESTION: 2
Welche SAP-Komponente unterstützt die RFID-Verarbeitung in EWM? Wähle die richtigen Antworten).
A. Aktive ID-Identifizierung (alle)
B. Auto-ID-Infrastruktur (alle)
C. AutoRFID (ARFID)
D. Automatische Eingangsidentifikation (alle)
Answer: B

NEW QUESTION: 3
A solutions architect is designing the cloud architecture for a new application being deployed on AWS The process should run in parallel while adding and removing application nodes as needed based on the number of jobs to be processed The processor application is stateless The solutions architect must ensure that the application is loosely coupled and the job items are durably stored Which design should the solutions architect use?
A. Create an Amazon SNS topic to send the jobs that need to be processed Create an Amazon Machine Image (AMI) that consists of the processor application Create a launch template that uses the AMI Create an Auto Scaling group using the launch template Set the scaling policy for the Auto Scaling group to add and remove nodes based on the number of messages published to the SNS topic.
B. Create an Amazon SNS topic to send the jobs that need to be processed Create an Amazon Machine Image (AMI) that consists of the processor application Create a launch configuration that uses the AMI Create an Auto Scaling group using the launch configuration Set the scaling policy for the Auto Scaling group to add and remove nodes based on CPU usage
C. Create an Amazon SQS queue to hold the jobs that needs to be processed Create an Amazon Machine Image (AMI) that consists of the processor application Create a launch template that uses the AMI Create an Auto Scaling group using the launch template Set the scaling policy for the Auto Scaling group to add and remove nodes based on the number of items in the SQS queue
D. Create an Amazon SQS queue to hold the jobs that need to be processed Create an Amazon Machine Image (AMI) that consists of the processor application Create a launch configuration that uses the AMI Create an Auto Scaling group using the launch configuration Set the scaling policy for the Auto Scaling group to add and remove nodes based on network usage
Answer: C
Explanation:
Amazon Simple Queue Service
Amazon Simple Queue Service (SQS) is a fully managed message queuing service that enables you to decouple and scale microservices, distributed systems, and serverless applications. SQS eliminates the complexity and overhead associated with managing and operating message oriented middleware, and empowers developers to focus on differentiating work. Using SQS, you can send, store, and receive messages between software components at any volume, without losing messages or requiring other services to be available. Get started with SQS in minutes using the AWS console, Command Line Interface or SDK of your choice, and three simple commands.
SQS offers two types of message queues. Standard queues offer maximum throughput, best-effort ordering, and at-least-once delivery. SQS FIFO queues are designed to guarantee that messages are processed exactly once, in the exact order that they are sent.
Scaling Based on Amazon SQS
There are some scenarios where you might think about scaling in response to activity in an Amazon SQS queue. For example, suppose that you have a web app that lets users upload images and use them online. In this scenario, each image requires resizing and encoding before it can be published. The app runs on EC2 instances in an Auto Scaling group, and it's configured to handle your typical upload rates. Unhealthy instances are terminated and replaced to maintain current instance levels at all times. The app places the raw bitmap data of the images in an SQS queue for processing. It processes the images and then publishes the processed images where they can be viewed by users. The architecture for this scenario works well if the number of image uploads doesn't vary over time. But if the number of uploads changes over time, you might consider using dynamic scaling to scale the capacity of your Auto Scaling group.
https://aws.amazon.com/sqs/#:~:text=Amazon%20SQS%20leverages%20the%20AWS,queues%20provide%20nearly%20unlimited%20throughput.
https://docs.aws.amazon.com/autoscaling/ec2/userguide/as-using-sqs-queue.html

NEW QUESTION: 4
You have a Hyper-V host that runs Windows Server 2016. The Hyper-V host has a virtual machine named VM1.
You have a VHD named VHD1.vhdx that has a generalized image of Windows Server 2016.
You plan to create multiple virtual machines that will use the generalized image.
You need to create differencing disks based on VHD1.vhdx.
What command should you run? To answer, select the appropriate options in the answer area.

Answer:
Explanation:

Explanation

References:
https://technet.microsoft.com/en-us/itpro/powershell/windows/hyper-v/new-vhd
https://blogs.technet.microsoft.com/canitpro/2013/05/28/step-by-step-creating-differencing-disks/