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NEW QUESTION: 1
조직은 확장 가능한 데이터 요구에 NoSQL DB를 사용할 계획입니다. 조직은 AWS VPC에서 애플리케이션을 안전하게 호스팅하려고 합니다.
조직에 어떤 조치를 권장 할 수 있습니까?
A. 퍼블릭 서브넷 내에 테이블을 생성하는 동안 조직은 DynamoDB를 사용해야 합니다.
B. 프라이빗 서브넷 내에 테이블을 생성하는 동안 조직은 DynamoDB를 사용해야 합니다.
C. 조직은 기본적으로 항상 AWS에서 제공하는 기본 서브넷의 일부이므로 DynamoDB 만 사용해야 합니다.
D. 조직은 AWS 인스턴스에 고유 한 NoSQL 클러스터를 설정하고 라우팅 테이블과 서브넷을 구성해야 합니다.
Answer: D
Explanation:
Explanation
The Amazon Virtual Private Cloud (Amazon VPC) allows the user to define a virtual networking environment in a private, isolated section of the Amazon Web Services (AWS) cloud. The user has complete control over the virtual networking environment. Currently VPC does not support DynamoDB. Thus, if the user wants to implement VPC, he has to setup his own NoSQL DB within the VPC.
http://docs.aws.amazon.com/AmazonVPC/latest/UserGuide/VPC_Introduction.html

NEW QUESTION: 2
A company that provides wireless services needs a solution to store and analyze log files about user activities. Currently, log files are delivered daily to Amazon Linux on Amazon EC2 instance.
A batch script is run once a day to aggregate data used for analysis by a third-party tool. The data pushed to the third- party tool is used to generate a visualization for end users. The batch script is cumbersome to maintain, and it takes several hours to deliver the ever-increasing data volumes to the third-party tool. The company wants to lower costs, and is open to considering a new tool that minimizes development effort and lowers administrative overhead. The company wants to build a more agile solution that can store and perform the analysis in near-real time, with minimal overhead. The solution needs to be cost effective and scalable to meet the company's end-user base growth.
Which solution meets the company's requirements?
A. Develop a Python script to failure the data from Amazon EC2 in real time and store the data in Amazon S3. Use a copy command to copy data from Amazon S3 to Amazon Redshift. Connect a business intelligence tool running on Amazon EC2 to Amazon Redshift and create the visualizations.
B. Use an Amazon Kinesis agent running on an EC2 instance in an Auto Scaling group to collect and send the data to an Amazon Kinesis Data Forehose delivery stream. The Kinesis Data Firehose delivery stream will deliver the data directly to Amazon ES. Use Kibana to visualize the data.
C. Use an in-memory caching application running on an Amazon EBS-optimized EC2 instance to capture the log data in near real-time. Install an Amazon ES cluster on the same EC2 instance to store the log files as they are delivered to Amazon EC2 in near real-time. Install a Kibana plugin to create the visualizations.
D. Use an Amazon Kinesis agent running on an EC2 instance to collect and send the data to an Amazon Kinesis Data Firehose delivery stream. The Kinesis Data Firehose delivery stream will deliver the data to Amazon S3. Use an AWS Lambda function to deliver the data from Amazon S3 to Amazon ES. Use Kibana to visualize the data.
Answer: C

NEW QUESTION: 3
The following statements apply to enrollment statistics for HSAs. Select the answer choice that contains the CORRECT statement.
A. HSAs have helped expand health care coverage to consumers who were previously uninsured.
B. HSAs appeal primarily to young consumers.
C. The vast majority of enrollees in HSA health plans are wealthy.
D. Most people receiving coverage through HSA health plans are individuals rather than families.
Answer: A

NEW QUESTION: 4
Hypertension, or high blood pressure, is a condition that can lead to heart attack and stroke. A scientist graphed the following data collected from a study on hypertension. What is a logical conclusion based on the data?

A. All senior citizens suffer from hypertension.
B. The prevalence of hypertension is higher than average in the 35-44 age group.
C. The prevalence of hypertension increases with age.
D. The prevalence of hypertension is highest in the 45-54 age group.
E. No teenager suffers from hypertension.
Answer: C
Explanation:
Explanation/Reference:
Explanation:
This is the only statement supported by the graph.