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NEW QUESTION: 1
DynamoDBで大規模なスキャン操作を使用する場合、テーブルのプロビジョニングされたスループットに対するスキャンの影響を最小限に抑えるためにどのような手法を使用できますか？
A. テーブルにレンジインデクスを定義します
B. パラレルスキャンを使用する
C. すべての項目を更新してテーブルを事前に温めます
D. スキャンするページサイズを小さくします
Answer: A

NEW QUESTION: 2
Your social media marketing application has a component written in Ruby running on AWS Elastic Beanstalk.
This application component posts messages to social media sites in support of various marketing campaigns.
Your management now requires you to record replies to these social media messages to analyze the effectiveness of the marketing campaign in comparison to past and future efforts. You've already developed a new application component to interface with the social media site APIs in order to read the replies. Which process should you use to record the social media replies in a durable data store that can be accessed at any time for analytics of historical data?
A. Deploythe new application component as an Elastic Beanstalk application, read thedata from the social media sites, store it in DynamoDB, and use Apache Hivewith Amazon Elastic MapReduce for analytics.
B. Deploythe new application component in an Auto Scaling group of Amazon EC2 instances,read the data from the social media sites, store it in Amazon Glacier, and useAWS Data Pipeline to publish it to Amazon RedShift for analytics.
C. Deploythe new application component as an Amazon Elastic Beanstalk application, readthe data from the social media site, store it with Amazon Elastic Block store,and use Amazon Kinesis to stream the data to Amazon Cloud Watch for analytics
D. Deploythe new application component in an Auto Scaling group of Amazon EC2 instances,read the data from the social media sites, store it with Amazon Elastic BlockStore, and use AWS Data Pipeline to publish it to Amazon Kinesis for analytics.
Answer: A
Explanation:
Explanation
The AWS Documentation mentions the below
Amazon DynamoDB is a fast and flexible NoSQL database sen/ice for all applications that need consistent, single-digit millisecond latency at any scale. It is a fully managed cloud database and supports both document and key-value store models. Its flexible data model, reliable performance, and automatic scaling of throughput capacity, makes it a great fit for mobile, web, gaming, ad tech, loT, and many other applications.
For more information on AWS DynamoDB please see the below link:
* https://aws.amazon.com/dynamodb/

NEW QUESTION: 3
You are creating a database that will store usernames and credit card numbers for an application.
You need to recommend a solution to store and reuse the credit card numbers in the database.
What should you recommend? More than one answer choice may achieve the goal. Select the BEST answer.
A. Data encryption
B. Encrypting File System (EPS)
C. Data hashing
D. Transparent Data Encryption (TDE)
Answer: D
Explanation:
If we are going to encrypt credit card number for storage, then we should have Data Encryption Key(DEK) for encrypting the credit card number. http://msdn.microsoft.com/en-us/library/bb934049.aspx