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NEW QUESTION: 1
What are two advantages of using Hitachi Dynamic Provisioning (HDP) on HUS systems? (Choose two.)
A. HDP allows efficient allocation of storage to hosts.
B. HDP allows efficient allocation of cache resources.
C. HDP uses dynamic compression to increase data storage capacity.
D. HDP distributes I/O workload across many disks.
Answer: A,D
NEW QUESTION: 2
注：この質問は、同じシナリオを提示する一連の質問の一部です。シリーズの各質問には、述べられた目標を達成する可能性のある独自の解決策が含まれています。一部の質問セットには複数の正しい解決策がある場合がありますが、他の質問セットには正しい解決策がない場合があります。
このセクションの質問に回答した後は、その質問に戻ることはできません。その結果、これらの質問はレビュー画面に表示されません。
DB1およびDB2という名前の2つのオンプレミスMicrosoftSQLServerデータベースからのデータを使用するApp1という名前のアプリがあります。
DB1とDB2をAzureに移動することを計画しています。
DB1およびDB2をホストするためにAzureサービスを実装する必要があります。このソリューションは、DB1とDB2間のサーバー側トランザクションをサポートする必要があります。
解決策：DB1とDB2を同じAzureSQLデータベースサーバー上のAzureSQLデータベースとしてデプロイします。
これは目標を達成していますか？
A. いいえ
B. はい
Answer: A
Explanation:
Instead deploy DB1 and DB2 to SQL Server on an Azure virtual machine.
Note: Understanding distributed transactions.
When both the database management system and client are under the same ownership (e.g. when SQL Server is deployed to a virtual machine), transactions are available and the lock duration can be controlled.
Reference:
https://docs.particular.net/nservicebus/azure/understanding-transactionality-in-azure
NEW QUESTION: 3
Observe the following while loop:
while true do echo " Welcome" sleep 5 done
What does the while statement do in the script when the condition is true?
A. It executes the echo command 5 times with a sleep time of 5 seconds.
B. It executes the echo command infinitely with a sleep time of 5 seconds.
C. It executes the echo command 5 times with a sleep time of 5 minutes.
D. It executes the echo command infinitely with a sleep time of 5 minutes.
Answer: B
NEW QUESTION: 4
You use S3 to store critical data for your company. Several users within your group currently have lull permissions to your S3 buckets. You need to come up with a solution mat does not impact your users and also protect against the accidental deletion of objects.
Which two options will address this issue? (Choose two.)
A. Configure your S3 Buckets with MFA delete
B. Enable versioning on your S3 Buckets
C. Create a Bucket policy and only allow read only permissions to all users at the bucket level
D. Enable object life cycle policies and configure the data older than 3 months to be archived in Glacier
Answer: A,B
Explanation:
Explanation
Versioning allows easy recovery of previous file version.
MFA delete requires additional MFA authentication to delete files.
Won't impact the users current access.
http://docs.aws.amazon.com/AmazonS3/latest/dev/Versioning.html
http://docs.aws.amazon.com/AmazonS3/latest/dev/UsingMFADelete.html