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NEW QUESTION: 1
You are implementing the indexing strategy for a fact table in a data warehouse. The fact table is named Quotes. The table has no indexes and consists of seven columns:
*[ID]
*[QuoteDate]
*[Open]
*[Close]
*[High]
*[Low]
*[Volume]
Each of the following queries must be able to use a columnstore index:
*SELECT AVG ([Close]) AS [AverageClose] FROM Quotes WHERE [QuoteDate] BETWEEN '20100101' AND '20101231'.
*SELECT AVG([High] - [Low]) AS [AverageRange] FROM Quotes WHERE [QuoteDate] BETWEEN
'20100101' AND '20101231'.
*SELECT SUM([Volume]) AS [SumVolume] FROM Quotes WHERE [QuoteDate] BETWEEN '20100101' AND '20101231'.
You need to ensure that the indexing strategy meets the requirements. The strategy must also minimize the number and size of the indexes.
What should you do?
A. Create two columnstore indexes:
One containing [ID], [QuoteDate], [Volume], and [Close]
One containing [ID], [QuoteDate], [High], and [Low]
B. Create one columnstore index that contains [ID], [Close], [High], [Low], [Volume], and [QuoteDate].
C. Create three coiumnstore indexes:
One containing [QuoteDate] and [Close]
One containing [QuoteDate], [High], and [Low]
One containing [QuoteDate] and [Volume]
D. Create one columnstore index that contains [QuoteDate], [Close], [High], [Low], and [Volume].
Answer: D
Explanation:
Reference: http://msdn.microsoft.com/en-us/li
Reference: http://msdn.microsoft.com/en-us/library/gg492153.aspx

NEW QUESTION: 2
Which pricing tier should you recommend for WebApp?
A. S1
B. D1
C. B1
D. P1v2
Answer: A
Explanation:
Standard supports up to 10 instances, and would be enough as the Standard plan includes auto scale that can automatically adjust the number of virtual machine instances running to match your traffic needs.
Scenario: Ensure that WebApp1 can adjust the number of instances automatically based on the load and can scale up to five instances Incorrect Answers:
D: Basic supports only up to 3 instances.
References:
https://azure.microsoft.com/en-us/pricing/details/app-service/windows/

NEW QUESTION: 3
ABC Academy is currently using non-802.11 2.4 GHz wireless security cameras. What problem will ABC Academy experience if they deploy Wi-Fi client devices in the 2.4 GHz ISM band?
A. Wi-Fi client devices will create a security hole in the Wi-Fi infrastructure as a protection mechanism.
B. The Wi-Fi client devices will experience performance degradation due to co-channel interference.
C. The Wireless Network Management System (WNMS) would not be able to manage the APs near the security cameras.
D. If the Wi-Fi client devices detect the security cameras, they will move to the 5 GHz band and stop transmitting in the 2.4 GHz band.
Answer: B

NEW QUESTION: 4
企業は、データ分析環境をオンプレミスからAWSに統合したいと考えています。この環境は、2つの単純なNode.jsアプリケーションで構成されています。アプリケーションの1つは、センサーデータを収集し、それをMySQLデータベースにロードします。もう1つのアプリケーションは、データをレポートに集約します。集約ジョブが実行されるとき。一部のo 'ロードジョブは正しく実行されません。
会社は、カラローディングの問題を解決する必要があります。また、会社は、会社の顧客の中断や変更なしに移行を行う必要があります。
これらの要件を満たすために、ソリューションアーキテクトは何をすべきですか？
A. Amazon AuroraMySQLデータベースを選択します。 AWS Database Mig-alion Service（AWS DMS）を使用して、オンプレミスデータベースからAuroraへの継続的なデータレプリケーションを実行します。 Ine Aurora MySQLデータベース用のAuroraレプリカを作成し、Auroraレプリカに対して実行する集約ジョブを移動します。アプリケーションロードバランサー<ALBを含むAWSLambda関数としてコレクションエンドポイントを設定します。 AnazonRDSプロキシを使用してAuroraMySQLデータベースに書き込みます。データベースが同期されたら、tnooollecloのDNSレコードをIneALBにポイントします。 AWS DMS同期タスクを無効にして、culovefをオンプレミスからAWSに変更します。
B. Amazon Aurora MySQLデータベースをセットアップするAWS Database Migration Service（AWS DMS）を使用して、オンプレミスデータベースからAuroraへの継続的なデータレプリケーションを実行します。集約ジョブを移動して、AuroraMySQLデータベースに対して実行します。アプリケーションロードバランサーの背後にコロジオンエンドポイントを設定します（AutoScalingグループのAmazonEC2インスタンスとしてALB1。データベースが同期されたら、コレクターDNSレコードをALBにポイントします。オンプレミスからAWSへのカットオーバー後にAWSDMS同期タスクを無効にします。
C. Amazon AuroraMySQLデータベースを作成します。 Aurora MySQLデータベースのAuroraレプリカを作成し、Auroraレプリカに対して実行する集約ジョブを移動します。コレクションエンドポイントをAmazonKinesisデータストリームとして設定します。 Amazon Kinesis Data Firehoseを使用して、データをAuroraMySQLデータベースに複製します。データベースが同期されたら、レプリケーションジョブを無効にし、プライマリインスタンスとしてAuroraレプリカを再起動します。コレクターDNSレコードをKinesesデータストリームにポイントします。
D. オンプレミスデータベースのレプリケーションターゲットとしてAmazon Aurora MySQLデータベースを設定します。AuroraMySQLデータベースのAuroraレプリカを作成し、Auroraレプリカに対して実行される集約ジョブを移動します。コレクションエンドポイントをネットワークロードバランサー（NLB）の背後にあるAWS Lambda関数として設定し、データベースが同期されているときにAmazonRDSプロキシを使用してAuroraMySQLデータベースに書き込みます。レプリケーションジョブを無効にし、プライマリインスタンスとしてAuroraレプリカを再起動します。
コレクターDNSレコードをNLBにポイントします。
Answer: D