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NEW QUESTION: 1
A virtual server is listening at 10.10.1.100:80 and has the following iRule associated with it:

If
a user connects to http://10.10.1.100/foo.html and their browser does not specify a UserAgent, which pool will receive the request?
A. Unknown. The pool cannot be determined from the information provided.
B. Mozilla_pool
C. MSIE_pool
D. None. The request will be dropped.
Answer: B

NEW QUESTION: 2
注：この質問は同じシナリオを使用する一連の質問の一部です。 あなたの便宜のために、シナリオは各質問で繰り返されます。 各質問はそれぞれ異なる目標と答えの選択を提示しますが、シナリオの本文はこのシリーズの各質問でまったく同じです。
次のデータベースSalesDb1、SalesDb2、およびSalesDb3を含むMicrosoft SQL Serverインスタンスを管理します。 各データベースには、ProductsとSalesという名前のテーブルがあります。 次の表は、各データベースの構成を示しています。

各データベースのバックアップ計画を次の表に示します。

フルバックアップ操作または差分バックアップ操作では、それぞれ新しいファイルに書き込み、異なるシーケンス番号を使用します。 次のデータベース破損の問題を観察します。

SalesDb3は、データページの読み取り時に、エラー823および824に関連するいくつかのデータベース破損の問題を報告します。 破損したページに関する次の情報を表示する必要があります。
* データベース名
* 影響を受けるファイルID
* 影響を受けるファイルの物理名
* 影響を受けるページID
* エラータイプを識別するイベントタイプ
* エラー数
ユーザーは、クエリストアを使用してSalesDb2のクエリ統計と実行計画を監視することを計画しています。 監視戦略は次の要件を満たす必要があります。
* クエリストアのディスク使用量が500メガバイト（MB）に達したときに自動データクリーンアップを実行します。
* リソース消費に基づいてクエリをキャプチャします。
* 60日という古いクエリしきい値を使用します。
クエリオプティマイザは、SalesDb2のSalesテーブル上のいくつかのクエリに対する最適でない実行プランを生成します。 テーブルの統計を更新するメンテナンス計画を作成します。 計画は、自動的に作成され、30日間更新されていない統計のみを更新する必要があります。 更新はテーブル内のすべてのデータに基づいている必要があります。
あなたはSalesDb3上の破損したページに関する情報を表示する必要があります。
Transact-SQLステートメントをどのように完成させるべきですか？ 回答するには、適切なTransact-SQLセグメントを正しい場所にドラッグします。 各Transact-SQLセグメントは、1回、複数回、またはまったく使用しないことができます。 コンテンツを表示するには、ペイン間の分割バーをドラッグするか、スクロールする必要があります。

Answer:
Explanation:

Explanation

Box 1: msdb.dbo.suspect_pages
suspect_pages contains one row per page that failed with a minor 823 error or an 824 error. Pages are listed in this table because they are suspected of being bad, but they might actually be fine. When a suspect page is repaired, its status is updated in the event_type column.
The suspect_pages table resides in the msdb database.
SalesDb3 has pages with checksum errors.
Box 2: msdb.sys.database_files
We want to identify these pages and which database they are in, this is easy enough to do when we join out to sys.databases and sys.master_files, as seen here:
SELECT d.name AS databaseName,
mf.name AS logicalFileName,
mf.physical_name AS physicalFileName,
sp.page_id,
case sp.event_type
when 1 then N'823 or 824 error'
when 2 then N'Bad Checksum'
when 3 then N'Torn Page'
when 4 then N'Restored'
when 5 then N'Repaired'
when 7 then N'Deallocated'
end AS eventType,
sp.error_count,
sp.last_update_date
from msdb.dbo.suspect_pages as sp
join sys.databases as d ON sp.database_id = d.database_id
join sys.master_files as mf on sp.[file_id] = mf.[file_id]
and d.database_id = mf.database_id;
The result of this query will give you a high level view of where you have potential corruption in your databases, from here it is important to use tools such as DBCC CHECKDB and your backups to recover from in line with your RPO and RTO.
References:
https://docs.microsoft.com/en-us/sql/relational-databases/backup-restore/manage-the-suspect-pages-table-sql-ser
https://blogs.sentryone.com/johnmartin/monitoring-for-suspect-pages/

NEW QUESTION: 3
You are creating a Microsoft Power Bl imported data model to perform basket analysis. The goal of the analysis is to identify which products are usually bought together in the same transaction across and within sales territories.
You import a fact table named Sales as shown in the exhibit. (Click the Exhibit tab.)

The related dimension tables are imported into the model.
Sales contains the data shown in the following table.

Answer:
Explanation:

NEW QUESTION: 4
A team of data scientists plans to analyze market trend data for their company's new investment strategy. The trend data comes from five different data sources in large volumes. The team wants to utilize Amazon Kinesis to support their use case. The team uses SQL-like queries to analyze trends and wants to send notifications based on certain significant patterns in the trends. Additionally, the data scientists want to save the data to Amazon S3 for archival and historical re-processing, and use AWS managed services wherever possible. The team wants to implement the lowest-cost solution.
Which solution meets these requirements?
A. Publish data to one Kinesis data stream. Deploy a custom application using the Kinesis Client Library (KCL) for analyzing trends, and send notifications using Amazon SNS. Configure Kinesis Data Firehose on the Kinesis data stream to persist data to an S3 bucket.
B. Publish data to one Kinesis data stream. Deploy Kinesis Data Analytic to the stream for analyzing trends, and configure an AWS Lambda function as an output to send notifications using Amazon SNS.
Configure Kinesis Data Firehose on the Kinesis data stream to persist data to an S3 bucket.
C. Publish data to two Kinesis data streams. Deploy a custom application using the Kinesis Client Library (KCL) to the first stream for analyzing trends, and send notifications using Amazon SNS. Configure Kinesis Data Firehose on the second Kinesis data stream to persist data to an S3 bucket.
D. Publish data to two Kinesis data streams. Deploy Kinesis Data Analytics to the first stream for analyzing trends, and configure an AWS Lambda function as an output to send notifications using Amazon SNS.
Configure Kinesis Data Firehose on the second Kinesis data stream to persist data to an S3 bucket.
Answer: A