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NEW QUESTION: 1
DRAG DROP
You have a table named Table1 that contains 1 million rows. Table1 contains a column named Column1 that stores sensitive information. Column1 uses the nvarchar(16) data type.
You have a certificate named Cert1.
You need to replace Column1 with a new encrypted column that uses two-way encryption.
Which code segment should you execute before you remove Column1?
To answer, move the appropriate code segments from the list of code segments to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation: Box 1:
Box 2:
Box 3:
Box 4:
Box 5:
Note:
* Use AES_256 for two-way encryption.
* Use varbinary to store key.
* CLOSE SYMMETRIC KEY (Transact-SQL)
Closes a symmetric key, or closes all symmetric keys open in the current session.
* Example:
CREATE SYMMETRIC KEY CreditCards_Key11
WITH ALGORITHM = AES_256
ENCRYPTION BY CERTIFICATE Sales09;
GO
-- Create a column in which to store the encrypted data.
ALTER TABLE Sales.CreditCard
ADD CardNumber_Encrypted varbinary(128);
GO
-- Open the symmetric key with which to encrypt the data.
OPEN SYMMETRIC KEY CreditCards_Key11
DECRYPTION BY CERTIFICATE Sales09;
-- Encrypt the value in column CardNumber using the
-- symmetric key CreditCards_Key11.
-- Save the result in column CardNumber_Encrypted.
UPDATE Sales.CreditCard
SET CardNumber_Encrypted = EncryptByKey(Key_GUID('CreditCards_Key11')
, CardNumber, 1, HashBytes('SHA1', CONVERT( varbinary
, CreditCardID)));
GO
NEW QUESTION: 2
ノーザントレイルアウトフィッターズは、外部のWebフォームから収集した新しい連絡先をインポートしたいと考えています。エントリは高頻度で収集されており、1分あたり数千に達する可能性があります。データは毎日スケジュールされた自動化で使用されるため、MarketingCloudにすぐに取り込む必要はありません。
何をお勧めしますか？
A. この外部WebフォームをMarketingCloud内に再作成します。
B. オートメーションを介してインポートするためにSFTPへの毎日の一括エクスポートを実行します。
C. フォームの送信時に、新しい各レコードをMarketing Cloud vis Platform EventAPIにプッシュします。
D. これをJourneyBuilderを介してJourneyデータソースとして作成します。
Answer: A
NEW QUESTION: 3
You are designing a new application that uses Azure Cosmos DB. The application will support a variety of data patterns including log records and social media mentions.
You need to recommend which Cosmos DB API to use for each data pattern. The solution must minimize resource utilization.
Which API should you recommend for each data pattern? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Log records: SQL
Social media mentions: Gremlin
You can store the actual graph of followers using Azure Cosmos DB Gremlin API to create vertexes for each user and edges that maintain the "A-follows-B" relationships. With the Gremlin API, you can get the followers of a certain user and create more complex queries to suggest people in common. If you add to the graph the Content Categories that people like or enjoy, you can start weaving experiences that include smart content discovery, suggesting content that those people you follow like, or finding people that you might have much in common with.
References:
https://docs.microsoft.com/en-us/azure/cosmos-db/social-media-apps
