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NEW QUESTION: 1
Which options lists cloud deployment modes?
A. Private, public, hydrid, community
B. IaaS, PaaS, SaaS
C. Private, public, hydrid
D. Private, public, hydrid, shared
Answer: A
Explanation:
https://www.ibm.com/developerworks/community/blogs/722f6200-f4ca-4eb3-9d64-
8d2b58b2d4e8/
entry/4_Types_of_Cloud_Computing_Deployment_Model_You_Need_to_Know1?lang=en
NEW QUESTION: 2
You have been asked to build a database warehouse using Amazon Redshift. You know a little about it, including that it is a SQL data warehouse solution, and uses industry standard ODBC and JDBC connections and PostgreSQL drivers. However you are not sure about what sort of storage it uses for database tables. What sort of storage does Amazon Redshift use for database tables?
A. Columnar data storage
B. NDB CLUSTER Storage
C. NDB data storage
D. InnoDB Tables
Answer: A
Explanation:
Amazon Redshift achieves efficient storage and optimum query performance through a combination of massively parallel processing, columnar data storage, and very efficient, targeted data compression encoding schemes.
Columnar storage for database tables is an important factor in optimizing analytic query performance because it drastically reduces the overall disk I/O requirements and reduces the amount of data you need to load from disk.
Reference:
http://docs.aws.amazon.com/redshift/latest/dg/c_columnar_storage_disk_mem_mgmnt.html
NEW QUESTION: 3
What behavior change technique includes expressing empathy, developing discrepancy, rolling with resistance, and supporting self-efficacy?
A. Visual imagery
B. Outcome expectancies
C. Motivational interviewing
D. Addressing relapse
Answer: C
NEW QUESTION: 4
ユーザーがAuto ScalingでELBを設定しました。ユーザーがAuto Scalingの終了プロセスを一時的に中断しました。その結果、この期間中にアベイラビリティーゾーンのリバランシングプロセス（AZRebalance）が何を引き起こしますか？
A. 起動をアクティブにしたまま、終了プロセスを一時停止することはできません。
B. AZ再調整により、アベイラビリティーゾーン内のインスタンスの数が最大サイズよりも高いままになる可能性があります
C. Auto Scalingは、最大インスタンス数に達するまで、すべてのAZでインスタンスを起動し続けます。
D. AZリバランスにより、Auto Scalingがインスタンスを起動または終了できるようになる可能性があります。
Answer: B
Explanation:
説明
Auto Scalingは、起動、終了、アベイラビリティーゾーンのリバランス（AZRebalance）などのさまざまなプロセスを実行します。 AZRebalanceプロセスタイプは、リージョン内のアベイラビリティーゾーン全体でインスタンス数のバランスを維持することを目的としています。ユーザーが終了プロセスを一時停止すると、AZRebalanceプロセスにより、Auto Scalingグループが最大サイズよりも最大10％大きくなる可能性があります。これは、Auto Scalingを使用すると、グループがリバランスアクティビティ中に一時的に最大サイズより大きくなるためです。 Auto Scalingがインスタンスを終了できない場合、ユーザーがTerminateプロセスタイプを再開するまで、Auto Scalingグループは最大サイズよりも最大10％大きいままになる可能性があります。
参照：