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NEW QUESTION: 1
Consider the following table:
CREATE TABLE 'game' (
'id' int (10) unsigned NOT NULL AUTO_INCREMENT,
'keyword' varchar (45) DEFAULT NULL,
'date' datetime NOT NULL,
PRIMARY KEY ('id' , 'date'),
UNIQUE KEY 'keyword_idx' ('keyword' , 'date')
) ENGINE=InnoDB DEFAULT CHARSET=latin1
PARTITION BY RANGE (TO_DAYS (date) ) (
PARTITION g201301 VALUES LESS THAN (TO_DAYS ('2013-01-01 00:00:00') ),
PARTITION g201302 VALUES LESS THAN (TO_DAYS ('2013-02-01 00:00:00') ),
PARTITION g201303 VALUES LESS THAN (TO_DAYS ('2013-03-01 00:00:00') ),
PARTITION g201304 VALUES LESS THAN (TO_DAYS ('2013-04-01 00:00:00') ),
PARTITION gMORES VALUES LESS THAN (MAXVALUE) );
Which method should used to add a new g201305 partition to the table?
A. ALTHER TABLE games
DROP PATITION gMORES,
ADD PARTITION
g201305 VALUES LESS THAN (TO_DAYS ('2013-05-01 00:00:00') ),
gMORES VALUES LESS THAN (MAXVALUE) );
B. ALTER TABLE games
ADD PARTITION g201350 VALUES LESS THAN (TO_DAYS ('2013-05-01 00:00:00') );
C. ALTER TABLE games
SPLIT PARTITION (gMORES)
INTO
g201305 VALUES LESS THAN (TO_DAYS ('2013-05-01 00:00:00') ),
gMORES VALUES LESS THAN (MAXVALUE) );
D. ALTER TABLE games
COALESCE PARTITION (gMORES)
INTO
g01305 VALUES LESS THAN (TO_DAYS ('2013-05-01 00:00:00') ),
gMORES VALUES LESS THAN (MAXVALUE) );
E. ALTER TABLE games
REORGANIZE PARTITION (gMORES)
INTO
g01305 VALUES LESS THAN (TO_DAYS ('2013-05-01 00:00:00') ),
gMORES VALUES LESS THAN (MAXVALUE) );
Answer: B

NEW QUESTION: 2
Wie leitet das System die Aufteilungsmerkmale ab, wenn Sie eine Zahlung für eine Rechnung buchen?
A. Standardzuordnung
B. Passive Dokumententeilung
C. Vererbung
D. Aktive Dokumententeilung
Answer: B

NEW QUESTION: 3
複数のAzureイベントハブからのデータをほぼリアルタイムで処理するソリューションを設計しています。
処理されると、データはAzureSQLデータベースに書き込まれます。
ソリューションは、次の要件を満たす必要があります。
*リソースとデータの変更の監査をサポートします。
*データのバージョン管理とロールバックをサポートします。
あなたは何をお勧めしますか?回答するには、回答領域で適切なオプションを選択します。
注:正しい選択はそれぞれ1ポイントの価値があります。

Answer:
Explanation:

Explanation

Box 1: Azure Stream Analytics
Users can now ingest, process, view, and analyze real-time streaming data into a table directly from a database in Azure SQL Database. They do so in the Azure portal using Azure Stream Analytics.
In the Azure portal, you can select an events source (Event Hub/IoT Hub), view incoming real-time events, and select a table to store events.
Stream Analytics leverages versioning of reference data to augment streaming data with the reference data that was valid at the time the event was generated. This ensures repeatability of results.
Box 2: Replay
Reference data is versioned, enabling to always get the same results, even when we "replay" the stream.
Reference:
https://docs.microsoft.com/en-us/azure/azure-sql/database/stream-data-stream-analytics-integration
https://azure.microsoft.com/en-us/updates/additional-support-for-managed-identity-and-new-features-in-azure-st