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NEW QUESTION: 1
Symptoms of alcohol withdrawal include:
A. Diaphoresis, nausea and vomiting and tremors
B. Unsteady gait, nystagmus and profound disorientation
C. Depression, suicidal ideation and hypersomnia
D. Euphoria, hyperactivity and insomnia
Answer: A

NEW QUESTION: 2
DynamoDB 테이블에 저장된 광고 캠페인 정보가 있습니다. 클릭 스트림 데이터에 참여하는 검색어를 작성하여 웹 사이트에 게재되는 광고의 가장 효과적인 카테고리를 식별해야합니다. 어떤 BigData 도구를 사용해야합니까? 두 가지를 선택하십시오.
2 정답을 선택하십시오.
A. EMR
B. 데이터 파이프 라인
C. Quicksight
D. 키네시스
Answer: A,D
Explanation:
Amazon EMR clusters can read and process Amazon Kinesis streams directly, using familiar tools in the Hadoop ecosystem such as Hive, Pig, MapReduce, the Hadoop Streaming API, and Cascading. You can also join real-time data from Amazon Kinesis with existing data on Amazon S3, Amazon DynamoDB, and HDFS in a running cluster. You can directly load the data from Amazon EMR to Amazon S3 or DynamoDB for post-processing activities.
Reference:
http://docs.aws.amazon.com/emr/latest/DeveloperGuide/emr-kinesis.html

NEW QUESTION: 3
Service A has become increasingly difficult to maintain. Its core service logic has become
bloated and convoluted because it has been updated numerous times during which
additional functionality was added to interact with the database and the legacy system and
to support interaction with Service Consumers A and B (via the two service contracts) as
well as interaction directly with Service Consumer C.

What steps can be taken to solve these problems and to prevent them from happening
again in the future?
A. None of the above.
B. The Official Endpoint pattern can be applied to limit access to Service A to one of its two
published service contracts. The Service Loose Coupling principle can be applied so that
Service Consumer C does not negatively couple itself directly to the core service logic of
Service A . B.
The Service Facade pattern can be applied to position a Facade component
between the core service logic and the implementation resources (the database and the
legacy system) and to position a faade component between the core service logic and the
two service contracts. The Contract Centralization pattern can be applied to limit access to
Service A to one of its two published service contracts. The Service Abstraction principle
can be applied to hide the implementation details of Service A from service consumers.
C. The Service Faade pattern can be applied to position a Facade component between the
core service logic and the two service contracts. The Contract Centralization pattern can be
applied to limit access to Service A to one of its two published service contracts. The
Service Loose Coupling principle can be applied so that Service Consumer C does not
negatively couple itself directly to the core service logic of Service A .
D. The Service Facade pattern can be applied to position a Facade component between
the core service logic and the implementation resources (the database and the legacy
system) and to also position a Facade component between the two service contracts and
Service Consumers A and
Answer: B

NEW QUESTION: 4
DB1という名前のSQL Server 2016データベースがあります。
SQL AzureデータベースからDB1に大量のレコードをインポートする予定です。
インポート操作中にトランザクションログで使用されるスペースの量を最小限に抑えるための解決策を推奨する必要があります。
あなたは推薦に何を含めるべきですか？
A. 完全復旧モデル
B. 新しい分割テーブル
C. 新しいログファイル
D. 新しいファイルグループ
E. 一括ログ復旧モデル
Answer: E
Explanation:
Compared to the full recovery model, which fully logs all transactions, the bulk-logged recovery model minimally logs bulk operations, although fully logging other transactions. The bulk-logged recovery model protects against media failure and, for bulk operations, provides the best performance and least log space usage.
Note: The bulk-logged recovery model is a special-purpose recovery model that should be used only intermittently to improve the performance of certain large-scale bulk operations, such as bulk imports of large amounts of data.
References:
https://technet.microsoft.com/en-us/library/ms190692(v=sql.105).aspx