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NEW QUESTION: 1
データベースアクセスの負荷を軽減するのに役立つ、一般的なデータベースクエリ結果の保存に最適なサービスはどれですか？
A. Amazon SQS
B. AmazonEC2インスタンスストア
Amazon ElastiCache for Redisは、高可用性、分散型、および安全なインメモリキャッシュを実装して、アクセスレイテンシを短縮し、スループットを向上させ、リレーショナルまたはNoSQLデータベースとアプリケーションの負荷を軽減するのに最適です。 ElastiCacheは、頻繁に要求されるアイテムをミリ秒未満の応答時間で処理でき、コストのかかるバックエンドデータベースを拡張することなく、より高い負荷に合わせて簡単に拡張できます。データベースクエリ結果のキャッシュ、永続的なセッションキャッシュ、およびフルページキャッシュはすべて、ElastiCache forRedisを使用したキャッシュの一般的な例です。
C. Amazon ElastiCache
D. Amazon Machine Learning
Answer: C
NEW QUESTION: 2
利害関係者が情報を必要とする頻度を識別する製品はどれですか？
A. 変更管理アプローチ
B. 品質管理アプローチ
C. リスク管理アプローチ
D. コミュニケーション管理アプローチ
Answer: D
Explanation:
Explanation
Reference
http://prince2.wiki/Communication_Management_Strategy_Template#Content_of_the_Communication_Manage
NEW QUESTION: 3
Which two advanced WLAN options are required when deploying central web authentication with Cisco ISE? (Choose two.)
A. NAC State SNMPNA
B. DHCP Addr. Assignment disabled.
C. NAC State RADIUS NAC
D. P2P Blocking Action set to Drop.
E. Allow AAA override enabled.
Answer: C,E
Explanation:
From
http://www.cisco.com/c/en/us/support/docs/security/identity-services-engine/115732- central-web-auth-00.html
NEW QUESTION: 4
What are two methods that can be used to denormalize tables in BigQuery?
A. 1) Join tables into one table; 2) Use nested repeated fields
B. 1) Split table into multiple tables; 2) Use a partitioned table
C. 1) Use nested repeated fields; 2) Use a partitioned table
D. 1) Use a partitioned table; 2) Join tables into one table
Answer: A
Explanation:
The conventional method of denormalizing data involves simply writing a fact, along with all its dimensions, into a flat table structure. For example, if you are dealing with sales transactions, you would write each individual fact to a record, along with the accompanying dimensions such as order and customer information.
The other method for denormalizing data takes advantage of BigQuery's native support for nested and repeated structures in JSON or Avro input data. Expressing records using nested and repeated structures can provide a more natural representation of the underlying data. In the case of the sales order, the outer part of a JSON structure would contain the order and customer information, and the inner part of the structure would contain the individual line items of the order, which would be represented as nested, repeated elements.
Reference: https://cloud.google.com/solutions/bigquery-data-
warehouse#denormalizing_data