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NEW QUESTION: 1
次のどれが最も良くプロテクションプロファイル(PP)を説明しますか。
A. 特定の消費者のニーズを満たすIT製品のセキュリティ要件の実装に依存しないセットを表現するドキュメント
B. そのセキュリティ要件定義からITセキュリティ製品を開発するために使用されているドキュメント
C. 唯一のセキュリティ機能要件が含まれているセキュリティ要件の実装に依存する集合を表現するドキュメント
D. PPとセキュリティターゲット(ST)との間の1対1対応である場所にある評価された製品を表すドキュメント
Answer: A

NEW QUESTION: 2
A global shoemaker has over a thousand retail stores which they manage themselves, sell through brokers in other discounted stores, and they also sell online. These channels are completely independent. There is no system that merges these data sets together to allow the COO to have comprehensive insight. You need to provide a company-wide picture of its channels and be enabled to do ad-hoc analytics when required. How can you configure this? Choose two.
Choose the 2 correct answers:
A. First, get all the data from the many different sources onto Amazon S3. Then, Amazon EMR is used to transform and cleanse the data from the source format into the destination and desired format.
B. First, get all the data from the many different sources onto Amazon DynamoDB. Then, Amazon Redshift is used to transform and cleanse the data from the source format into the destination and a format.
C. Use Amazon EMR to load, sort, distribute, and compress the data into its tables so that analytical queries can execute efficiently and in parallel. Lastly, for visualizing the analytics, Amazon QuickSight can be used, or one of the many partner visualization platforms via the OBDC/JDBC connection to Amazon EMR.
D. Use Amazon Redshift to load, sort, distribute, and compress the data into its tables so that analytical queries can execute efficiently and in parallel. Lastly, for visualizing the analytics, Amazon QuickSight can be used, or one of the many partner visualization platforms via the OBDC/JDBC connection to Amazon Redshift.
Answer: A,D
Explanation:
An enterprise data warehouse is a terrific way to solve this problem. The data warehouse needs to collect data from each of the three channels'various systems and from public records for weather and economic data. Each data source sends data daily for consumption by the data warehouse. Because each data source may be structured differently, an extract, transform, and load (ETL) process is performed to reformat the data into a common structure. Then, analytics can be performed across data from all sources simultaneously Reference:
https://d0.awsstatic.com/whitepapers/Big_Data_Analytics_Options_on_AWS.pdf

NEW QUESTION: 3
You use Spinnaker to deploy your application and have created a canary deployment stage in the pipeline. Your application has an in-memory cache that loads objects at start time. You want to automate the comparison of the canary version against the production version. How should you configure the canary analysis?
A. Compare the canary with a new deployment of the current production version.
B. Compare the canary with a new deployment of the previous production version.
C. Compare the canary with the existing deployment of the current production version.
D. Compare the canary with the average performance of a sliding window of previous production versions.
Answer: D

NEW QUESTION: 4
Which file would you modify to configure the vault to send SNMP traps to your monitoring solution?
A. ENEConf.ini I
B. dbparm ini
C. paragent.ini
D. padr ini
Answer: B

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