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NEW QUESTION: 1

Answer:
Explanation:
Explanation:
Box 1: READ UNCOMMITTED
Transactions running at the READ UNCOMMITTED level do not issue shared locks to prevent other transactions from modifying data read by the current transaction. READ UNCOMMITTED transactions are also not blocked by exclusive locks that would prevent the current transaction from reading rows that have been modified but not committed by other transactions. When this option is set, it is possible to read uncommitted modifications, which are called dirty reads. Values in the data can be changed and rows can appear or disappear in the data set before the end of the transaction.
Box 2: READ COMMITTED
READ COMMITTED specifies that statements cannot read data that has been modified but not committed by other transactions.
SERIALIZABLE specifies that statements cannot read data that has been modified but not yet committed by other transactions.
Box 3: REPEATABLE READ
REPEATABLE READ specifies that statements cannot read data that has been modified but not yet committed by other transactions and that no other transactions can modify data that has been read by the current transaction until the current transaction completes.
Box 4: SNAPSHOT
If READ_COMMITTED_SNAPSHOT is set to ON, the Database Engine uses row
versioning to present each statement with a transactionally consistent snapshot of the data as it existed at the start of the statement.
References: https://docs.microsoft.com/en-us/sql/t-sql/statements/set-transaction-isolation- level-transact-sql?view=sql-server-2017
NEW QUESTION: 2
Note: This question is part of a series of questions that use the same or similar answer choices. An answer choice may be correct for more than one question in the series. Each question is independent of the other questions in this series. Information and details provided in a question apply only to that question.
You have a database that contains tables named Customer_CRMSystem and Customer_HRSystem. Both tables use the following structure:
The tables include the following records:
Customer_CRMSystem
Customer_HRSystem
Records that contain null values for CustomerCode can be uniquely identified by CustomerName.
You need to display distinct customers that appear in both tables.
Which Transact-SQL statement should you run?

A. Option C
B. Option B
C. Option E
D. Option G
E. Option A
F. Option D
G. Option H
H. Option F
Answer: G
Explanation:
To retain the nonmatching information by including nonmatching rows in the results of a join, use a full outer join. 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.
NEW QUESTION: 3
お客様は、ログストリーム(アクセスログ、アプリケーションログ、セキュリティログなど)を単一のシステムに統合することを望んでいます。統合された顧客は、これらのログをヒューリスティックに基づいてリアルタイムで分析したいと考えています。時々、顧客はヒューリスティックを検証する必要があり、過去12時間から抽出されたデータサンプルに戻る必要があります。
顧客の要件を満たす最適なアプローチは何ですか?
A. EC2 syslogdサーバーのAuto Scalingグループをセットアップし、S3にログを保存し、EMRを使用してログにヒューリスティックを適用します
B. カスタムログを受信するようにAmazon CloudTrailを設定し、EMRを使用してログにヒューリスティックを適用します
C. すべてのログイベントをAmazon Kinesisに送信し、ログにヒューリスティックを適用するクライアントプロセスを開発します
D. すべてのログイベントをAmazon SQSに送信し、EC2サーバーのAuto Scalingグループをセットアップしてログを消費し、ヒューリスティックを適用します。
Answer: C
Explanation:
説明
Amazon Kinesisストリームのスループットは、ストリーム内のシャードの数を増やすことにより制限なく拡張できるように設計されています。ただし、Amazon Kinesis Streamsを使用する際に留意する必要がある特定の制限があります。
デフォルトでは、ストリームのレコードは、ストリームに追加されてから最大24時間アクセスできます。
拡張データ保持を有効にすることにより、この制限を最大7日間に引き上げることができます。
1つのレコード内のデータBLOB(Base64エンコード前のデータペイロード)の最大サイズは1メガバイト(MB)です。
各シャードは、1秒あたり最大1000個のPUTレコードをサポートできます。
他のAPIレベルの制限の詳細については、「Amazon Kinesis Streamsの制限」を参照してください。