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NEW QUESTION: 1

A. Option C
B. Option D
C. Option A
D. Option B
Answer: A
Explanation:
http://support.microsoft.com/kb/308404

NEW QUESTION: 2
組織は大容量のハッシュタグデータのストリームをリアルタイムで処理する必要があり、特定のタグに関する洞察を得るためにデータに対してカスタムSQLクエリを実行する必要があります。組織はこのソリューションに弾力性が必要であり、クラスターを管理したくないと考えています。
これらの要件を満たすAWSサービスは次のうちどれですか？
A. Amazon Elasticsearch Service
B. Amazon Redshift
C. Amazon Kinesis Data Analytics
D. アマゾンアテナ
Answer: C
Explanation:
Explanation
The streaming source for your application. You can select either a Kinesis data stream or a Kinesis Data Firehose data delivery stream as the streaming source. In the input configuration, you map the streaming source to an in-application input stream. The in-application stream is like a continuously updating table upon which you can perform the SELECT and INSERT SQL operations. In your application code, you can create additional in-application streams to store intermediate query results.
Amazon Kinesis Data Analytics is the easiest way to analyze streaming data, gain actionable insights, and respond to your business and customer needs in real time. Amazon Kinesis Data Analytics reduces the complexity of building, managing, and integrating streaming applications with other AWS services. SQL users can easily query streaming data or build entire streaming applications using templates and an interactive SQL editor. Java developers can quickly build sophisticated streaming applications using open source Java libraries and AWS integrations to transform and analyze data in real-time. Amazon Kinesis Data Analytics takes care of everything required to run your real-time applications continuously and scales automatically to match the volume and throughput of your incoming data. With Amazon Kinesis Data Analytics, you only pay for the resources your streaming applications consume. There is no minimum fee or setup cost.
https://docs.aws.amazon.com/kinesisanalytics/latest/dev/how-it-works.html

NEW QUESTION: 3
How does HP StoreOnce with deduplication benefit customers who have remote or replicated sites? (Select two.)
A. by implementing a cyclic redundancy check at the destination to detect accidental changes to raw data
B. by reducing the volume of data before it is sent over the network, reducing network traffic and costs
C. by using data authentication for extra security when data is sent over the network
D. by improving and increasing performance, and reducing the amount of storage capacity needed
E. by encrypting and compressing the data during transfer from a data center to remote or replicated sites
Answer: B,E