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NEW QUESTION: 1
What is the difference between the originating IP and the client IP of an individual page view?
A. The originating IP is the user's IP address, and the client IP is the address of the server which receives and responds to that user's request.
B. The originating IP is the closest layer-3 hop in the network path, while the client IP is the user's IP address.
C. There is no difference.
D. The client IP is the user's IP address, and the originating IP is the IP address of a proxy or load balancer in the application path.
E. The originating IP sends the initial page request, and the client IP may be a proxy that receives and forwards the request to the server.
Answer: E
NEW QUESTION: 2
You are creating a budget register entry.
You need to transfer 6,000.00 USD from account 604578 in department 10 to department 20.
What should you do?
A. Create a new transfer journal name that is linked to the transfer budget model
B. Create a new transfer journal name that is linked to the transfer budget code
C. Select the transfer budget model on the header of the budget register entry
D. Select the transfer budget code on the header of the budget register entry
Answer: D
NEW QUESTION: 3
When assessing residual volume in tube feeding, the feeding should be delayed if the amount of gastric contents (residual) exceeds:
A. 30 mL
B. 20 mL
C. 25 mL
D. 50 mL
Answer: D
Explanation:
Explanation
(A) A residual volume of 20 mL is not excessive. (B) A residual volume of 25 mL is not excessive. (C) A residual volume of 30 mL is not excessive. (D) Tube feedings should be withheld and physician notified for residual volumes of 50-100 mL.
NEW QUESTION: 4
会社は複数のWebサイトからクリックストリームデータをキャプチャし、バッチ処理を使用してそれを分析します。データは毎晩Amazon Redshiftに読み込まれ、ビジネスアナリストによって消費されます。同社は、タイムリーな洞察を得るために、ほぼリアルタイムのデータ処理に移行したいと考えています。このソリューションでは、最小限の労力と運用オーバーヘッドでストリーミングデータを処理する必要があります。
このソリューションで最も費用効果の高いAWSサービスの組み合わせはどれですか？ （2つ選択してください。）
A. Amazon Kinesis Data Streams
B. Amazon EC2
C. Amazon Kinesis Data Firehose
D. Amazon Kinesis Data Analytics
E. AWSLambda
Answer: A,D
Explanation:
Explanation
Kinesis Data Streams and Kinesis Client Library (KCL) - Data from the data source can be continuously captured and streamed in near real-time using Kinesis Data Streams.
With the Kinesis Client Library (KCL), you can build your own application that can preprocess the streaming data as they arrive and emit the data for generating incremental views and downstream analysis.
Kinesis Data Analytics - This service provides the easiest way to process the data that is streaming through Kinesis Data Stream or Kinesis Data Firehose using SQL. This enables customers to gain actionable insight in near real-time from the incremental stream before storing it in Amazon S3.
https://d1.awsstatic.com/whitepapers/lambda-architecure-on-for-batch-aws.pdf
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