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What's the applicable operating system of the test engine?

NEW QUESTION: 1
タグ付けデータと顧客データの暗号化戦略を設計する必要があります。
何をお勧めしますか？答えるには、適切な設定を適切なドロップターゲットにドラッグします。各ソースは、1回、複数回使用することも、まったく使用しないこともできます。コンテンツを表示するには、ペイン間で分割バーをドラッグするか、スクロールする必要がある場合があります。
注：それぞれの正しい選択には1ポイントの価値があります。

Answer:
Explanation:

Explanation:
All cloud data must be encrypted at rest and in transit.
Box 1: Transparent data encryption
Encryption of the database file is performed at the page level. The pages in an encrypted database are encrypted before they are written to disk and decrypted when read into memory.
Box 2: Encryption at rest
Encryption at Rest is the encoding (encryption) of data when it is persisted.
References:
https://docs.microsoft.com/en-us/sql/relational-databases/security/encryption/transparent-data-encryption?view=sql-server-2017
https://docs.microsoft.com/en-us/azure/security/azure-security-encryption-atrest

NEW QUESTION: 2
データベース環境のパフォーマンスを分析しています。
現在のデータベースに欠けているインデックスがいくつかあると思います。
現在のデータベースで欠けているインデックスの優先順位付きリストを返す必要があります。
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: sys.db_db_missing_index_group_stats
The sys.db_db_missing_index_group_stats table include the required columns for the main query:
avg_total_user_cost, avg_user_impact, user_seeks, and user scans.
Box 2: group_handle
Example: The following query determines which missing indexes comprise a particular missing index group, and displays their column details. For the sake of this example, the missing index group handle is 24.
SELECT migs.group_handle, mid.*
FROM sys.dm_db_missing_index_group_stats AS migs
INNER JOIN sys.dm_db_missing_index_groups AS mig
ON (migs.group_handle = mig.index_group_handle)
INNER JOIN sys.dm_db_missing_index_details AS mid
ON (mig.index_handle = mid.index_handle)
WHERE migs.group_handle = 24;
Box 3: sys.db_db_missing_index_group_stats
The sys.db_db_missing_index_group_stats table include the required columns for the subquery:
avg_total_user_cost and avg_user_impact.
Example: Find the 10 missing indexes with the highest anticipated improvement for user queries The following query determines which 10 missing indexes would produce the highest anticipated cumulative improvement, in descending order, for user queries.
SELECT TOP 10 *
FROM sys.dm_db_missing_index_group_stats
ORDER BY avg_total_user_cost * avg_user_impact * (user_seeks + user_scans)DESC;

NEW QUESTION: 3
A company maintains an application responsible for processing several thousand external callbacks each day.
The company's System administrators want to know how many callbacks are being received on a rolling basis, and they want this data available for 10 days. The company also wants the ability to issue automated alerts if the number of callbacks exceeds the defined thresholds.
What is the MOST cost-effective way to address the need to track and alert on these statistics?
A. Push callback data to Amazon CloudWatch as a custom metric and use the CloudWatch alerting mechanisms to alert System Administrators.
B. Push callback data to an Amazon RDS database that can be queried to show historical data and to alert on exceeded thresholds.
C. Push callback data to Amazon Kinesis Data Streams and invoke an AWS Lambda function that stores data in Amazon DynamoDB and sends the required alerts.
D. Push callback data to AWS X-Ray and use AWS Lambda to query, display, and alert on exceeded thresholds.
Answer: A

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