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NEW QUESTION: 1
An Engineering team manages a Node.js e-commerce application. The current environment consists of the following components: " Amazon S3 buckets for storing content " Amazon EC2 for the front-end web servers " AWS Lambda for executing image processing " Amazon DynamoDB for storing session-related data The team expects a significant increase in traffic to the site. The application should handle the additional load without interruption. The team ran initial tests by adding new servers to the EC2 front-end to handle the larger load, but the instances took up to 20 minutes to become fully configured. The team wants to reduce this configuration time. What changes will the Engineering team need to implement to make the solution the MOST resilient and highly available while meeting the expected increase in demand?
A. Configure Amazon CloudFront and have its origin point to Amazon S3 to host the web application. Implement Amazon DynamoDB Auto Scaling. Use Amazon Route 53 to point the application DNS record to the CloudFront DNS name.
B. Deploy a fleet of EC2 instances, doubling the current capacity, and place them behind an Application Load Balancer. Increase the Amazon DynamoDB read and write capacity units. Add an alias record that contains the Application Load Balancer endpoint to the existing Amazon Route 53 DNS record that points to the application.
C. Use AWS OpsWorks to automatically configure each new EC2 instance as it is launched. Configure the EC2 instances by using an Auto Scaling group behind an Application Load Balancer across multiple Availability Zones. Implement Amazon DynamoDB Auto Scaling. Use Amazon Route 53 to point the application DNS record to the Application Load Balancer.
D. Use AWS Elastic Beanstalk with a custom AMI including all web components. Deploy the platform by using an Auto Scaling group behind an Application Load Balancer across multiple Availability Zones. Implement Amazon DynamoDB Auto Scaling. Use Amazon Route 53 to point the application DNS record to the Elastic Beanstalk load balancer.
Answer: D

NEW QUESTION: 2
How can a Citrix Engineer use Session-Based Computing/Hosted Virtual Desktop (SBC/HVD) Tuning to optimize a user's desktop?
A. Enable Single Sign-on to the virtual desktop.
B. Intelligently modify CPU resource allocation.
C. Control user permissions to external drives.
D. Modify settings that improve the user experience.
Answer: B
Explanation:
https://www.deyda.net/index.php/en/2018/12/01/wem-administration-console-part-2-system- optimization-policies-profiles-and-security/

NEW QUESTION: 3
A technician has added an external hard drive to a personal computer. The hard drive is powered on, but the computer does not see the new hard disk. Which of the following is the FIRST thing the technician should check?
A. The data cable
B. The power cable
C. The hard drive firmware revision
D. The OS version for compatibility
Answer: A

NEW QUESTION: 4
ソリューションアーキテクトは、ブランチオフィスにあるネットワーク接続ファイルシステムからAmazon S3Glacierに750TBのデータを転送する必要があります。ソリューションは、ブランチオフィスの低帯域幅インターネット接続が飽和状態にならないようにする必要があります。
最も費用効果の高いソリューションは何ですか？
A. Amazon S3バケットへのサイト間VPNトンネルを作成し、ファイルを直接転送するバケットポリシーを作成してVPCエンドポイントを適用します
B. AWS Snowballアプライアンスを10個注文し、宛先としてAmazonS3バケットを選択します。 S3オブジェクトをAmazonS3Glacierに移行するためのライフサイクルポリシーを作成します
C. ネットワーク接続ファイルシステムをAmazon S3にマウントし、ファイルを直接コピーします。 S3オブジェクトをAmazonS3Glacierに移行するためのライフサイクルポリシーを作成します
D. AWS Snowballアプライアンスを10個注文し、宛先としてS3Glacierボールトを選択します。バケットポリシーを作成してVPCエンドポイントを適用します
Answer: B
Explanation:
Regional Limitations for AWS Snowball
The AWS Snowball service has two device types, the standard Snowball and the Snowball Edge. The following table highlights which of these devices are available in which regions.

Limitations on Jobs in AWS Snowball
The following limitations exist for creating jobs in AWS Snowball:
For security purposes, data transfers must be completed within 90 days of the Snowball being prepared.
Currently, AWS Snowball Edge device doesn't support server-side encryption with customer-provided keys (SSE-C). AWS Snowball Edge device does support server-side encryption with Amazon S3-managed encryption keys (SSE-S3) and server-side encryption with AWS Key Management Service-managed keys (SSE-KMS). For more information, see Protecting Data Using Server-Side Encryption in the Amazon Simple Storage Service Developer Guide.
In the US regions, Snowballs come in two sizes: 50 TB and 80 TB. All other regions have the 80 TB Snowballs only. If you're using Snowball to import data, and you need to transfer more data than will fit on a single Snowball, create additional jobs. Each export job can use multiple Snowballs.
The default service limit for the number of Snowballs you can have at one time is 1. If you want to increase your service limit, contact AWS Support.
All objects transferred to the Snowball have their metadata changed. The only metadata that remains the same is filename and filesize. All other metadata is set as in the following example: -rw-rw-r-- 1 root root [filesize] Dec 31 1969 [path/filename] Object lifecycle management To manage your objects so that they are stored cost effectively throughout their lifecycle, configure their Amazon S3 Lifecycle. An S3 Lifecycle configuration is a set of rules that define actions that Amazon S3 applies to a group of objects. There are two types of actions:
Transition actions-Define when objects transition to another storage class. For example, you might choose to transition objects to the S3 Standard-IA storage class 30 days after you created them, or archive objects to the S3 Glacier storage class one year after creating them.
Expiration actions-Define when objects expire. Amazon S3 deletes expired objects on your behalf.
The lifecycle expiration costs depend on when you choose to expire objects.
https://docs.aws.amazon.com/snowball/latest/ug/limits.html
https://docs.aws.amazon.com/AmazonS3/latest/dev/object-lifecycle-mgmt.html