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NEW QUESTION: 1
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、記載された目標を達成する可能性のある独自のソリューションが含まれています。一部の質問セットには複数の正しい解決策がある場合もあれば、正しい解決策がない場合もあります。
このセクションの質問に回答すると、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。
VM1という名前のAzure仮想マシンがあります。 VM1は、ARM1.jsonという名前のカスタムAzureリソースマネージャーテンプレートを使用してデプロイされました。
VM1がメンテナンスの影響を受けるという通知を受け取ります。
VM1をすぐに別のホストに移動する必要があります。
解決策：[概要]ブレードから、仮想マシンを別のリソースグループに移動します。
これは目標を達成していますか？
A. はい
B. いいえ
Answer: B
Explanation:
You should redeploy the VM.
References:
https://docs.microsoft.com/en-us/azure/virtual-machines/windows/redeploy-to-new-node

NEW QUESTION: 2
회사는 Amazon RDS PostGreSQL 데이터베이스 인스턴스의 특정 시점 사본을 200 마일 이상 떨어져있는 시설에 저장해야하는 법적 요구 사항이 있습니다.
다음 중 어느 것을 사용하여 이 요구 사항을 가장 쉽게 준수 할 수 있습니까?
A. 교차 리전 스냅 샷 사본
B. 교차 리전 읽기 전용 복제본
C. 다중 가용 영역 읽기 전용 복제본
D. 다중 가용 영역 스냅 샷 사본
Answer: A
Explanation:
Explanation
https://aws.amazon.com/blogs/aws/cross-region-snapshot-copy-for-amazon-rds/ You can enable point-in-time recovery using the AWS Management Console, AWS Command Line Interface (AWS CLI), or the DynamoDB API. When it's enabled, point-in-time recovery provides continuous backups until you explicitly turn it off.
After you enable point-in-time recovery, you can restore to any point in time within EarliestRestorableDateTime and LatestRestorableDateTime. LatestRestorableDateTime is typically 5 minutes before the current time.
Availability Zones:
With their own power infrastructure, the AZs are physically separated by a meaningful distance, many kilometers, from any other AZ, although all are within 100 km (60 miles of each other)
https://aws.amazon.com/about-aws/global-infrastructure/regions_az/
Large scale disaster recovery using AWS regions
DR takes things to a completely new level, wherein you need to be able to recover from a different region that's separated by over 250 miles
https://aws.amazon.com/blogs/startups/large-scale-disaster-recovery-using-aws-regions/

NEW QUESTION: 3
Hinweis: Diese Frage ist Teil einer Reihe von Fragen, bei denen die gleichen oder ähnliche Antwortmöglichkeiten verwendet werden. Eine Antwortauswahl kann für mehr als eine Frage in der Reihe richtig sein. Jede Frage ist unabhängig von den anderen Fragen in dieser Reihe. In einer Frage angegebene Informationen und Details gelten für diese Frage.
Sie haben eine Datenbank für ein Bankensystem. Die Datenbank enthält zwei Tabellen mit den Namen tblDepositAcct und tblLoanAcct, in denen Einlagen- und Darlehenskonten gespeichert sind. Beide Tabellen enthalten folgende Spalten:

Sie müssen die Gesamtzahl der Kunden ermitteln, die entweder Einlagenkonten oder Darlehenskonten haben, jedoch nicht beide Kontotypen.
Welche Transact-SQL-Anweisung sollten Sie ausführen?
A. SELECT COUNT (*) FROM (SELECT CustNoFROM tblDepositAcctEXCEPTSELECT CustNoFROM tblLoanAcct) R
B. SELECT COUNT (DISTINCT L.CustNo) VON tblDepositAcct DRIGHT JOIN tblLoanAcct L ON D.CustNo = L.CustNoWHERE D.CustNo IS NULL
C. SELECT COUNT (*) FROM (SELECT CustNoFROM tblDepositAcctUNION ALLSELECT CustNoFROM tblLoanAcct) R
D. SELECT COUNT (*) FROM (SELECT AcctNoFROM tblDepositAcctINTERSECTSELECT AcctNoFROM tblLoanAcct) R
E. SELECT COUNT (DISTINCT D.CustNo) FROM tblDepositAcct D, tblLoanAcct LWHERE D.CustNo = L.CustNo
F. SELECT COUNT (*) FROM (SELECT CustNoFROM tblDepositAcctUNIONSELECT CustNoFROM tblLoanAcct) R
G. SELECT COUNT (*) FROM tblDepositAcct DFULL JOIN tblLoanAcct L ON D.CustNo = L.CustNo
H. SELECT COUNT (DISTINCT COALESCE (D.CustNo, L.CustNo)) FROM tblDepositAcct DFULL JOIN tblLoanAcct L ON D.CustNo = L.CustNoWhere
Answer: H
Explanation:
Explanation
SQL Server provides the full outer join operator, FULL OUTER JOIN, which includes all rows from both tables, regardless of whether or not the other table has a matching value.
Consider a join of the Product table and the SalesOrderDetail table on their ProductID columns. The results show only the Products that have sales orders on them. The ISO FULL OUTER JOIN operator indicates that all rows from both tables are to be included in the results, regardless of whether there is matching data in the tables.
You can include a WHERE clause with a full outer join to return only the rows where there is no matching data between the tables. The following query returns only those products that have no matching sales orders, as well as those sales orders that are not matched to a product.
USE AdventureWorks2008R2;
GO
-- The OUTER keyword following the FULL keyword is optional.
SELECT p.Name, sod.SalesOrderID
FROM Production.Product p
FULL OUTER JOIN Sales.SalesOrderDetail sod
ON p.ProductID = sod.ProductID
WHERE p.ProductID IS NULL
OR sod.ProductID IS NULL
ORDER BY p.Name ;
References: https://technet.microsoft.com/en-us/library/ms187518(v=sql.105).aspx

NEW QUESTION: 4
Which question would you use to validate the opportunity for using Hewlett Packard Enterprise servers as a data-protection solution?
A. How much does downtime cost your company?
B. How quickly can your data be restored?
C. Where are you in your virtualization journey?
D. How long does it take you to provision your data center when deploying new applications?
Answer: A