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NEW QUESTION: 1
Your company releases new features with high frequency while demanding high application availability. As part of the application's A/B testing, logs from each updated Amazon EC2 instance of the application need to be analyzed in near real-time, to ensure that the application is working flawlessly after each deployment. If the logs show any anomalous behavior, then the application version of the instance is changed to a more stable one. Which of the following methods should you use for shipping and analyzing the logs in a highly available manner?
A. Ship the logs to Amazon S3 for durability and use Amazon EMR to analyze the logs in a batch manner each hour.
B. Ship the logs to a large Amazon EC2 instance and analyze the logs in a live manner.
C. Ship the logs to an Amazon Kinesis stream and have the consumers analyze the logs in a live manner.
D. Ship the logs to Amazon CloudWatch Logs and use Amazon EMR to analyze the logs in a batch manner each hour.
Answer: C
Explanation:
Explanation
Answer - C
You can use Kinesis Streams for rapid and continuous data intake and aggregation. The type of data used includes IT infrastructure log data, application logs, social media, market data feeds, and web clickstream data. Because the response time for the data intake and processing is in real time, the processing is typically lightweight.
The following are typical scenarios for using Kinesis Streams:
* Accelerated log and data feed intake and processing - You can have producers push data directly into a stream. For example, push system and application logs and they'll be available for processing in seconds. This prevents the log data from being lost if the front end or application server fails. Kinesis Streams provides accelerated data feed intake because you don't batch the data on the servers before you submit it for intake.
* Real-time metrics and reporting - You can use data collected into Kinesis Streams for simple data analysis and reporting in real time. For example, your data-processing application can work on metrics and reporting for system and application logs as the data is streaming in, rather than wait to receive batches of data.
For more information on Amazon Kinesis and SNS please refer to the below link:
* http://docs.aws.amazon.com/streams/latest/dev/introduction.html

NEW QUESTION: 2
Microsoft SQL Serverを実行し、2つのデータディスクを含む仮想マシンを設計しています。最初のデータディスクにはログファイルが保存され、2番目のデータディスクにはデータが保存されます。どちらのディスクもP40管理対象ディスクです。
各ディスクにキャッシュポリシーを推奨する必要があります。ポリシーは仮想マシンに最高の全体的なパフォーマンスを提供する必要があります。
各ディスクにどのキャッシュポリシーをお勧めしますか？答えるには、適切なポリシーを正しいディスクにドラッグします。各ポリシーは、1回、複数回、またはまったく使用しないことができます。コンテンツを表示するには、ペイン間の分割バーをドラッグするか、スクロールする必要があります。
注：それぞれ正しい選択は1ポイントの価値があります。

Answer:
Explanation:

Explanation

References:
https://docs.microsoft.com/en-us/azure/virtual-machines/windows/sql/virtual-machines-windows-sql-performanc

NEW QUESTION: 3
HOTSPOT
Your network contains an Active Directory domain named contoso.com. The network contains two subnets. The subnets are configured as shown in the following table.

The network contains a member server named Server1 that runs Windows Server 2012 R2. Server1 has the DHCP Server server role installed. Server1 is configured to lease IP addresses to the two subnets.
You add three new printers to the MainOffice subnet. The printers have static IP addresses. The IP addresses are consecutive.
You need to create an exclusion range that contains the IP addresses of the printers.
From which node should you configure the exclusion range? To answer, select the appropriate node in the answer area.

Answer:
Explanation:

NEW QUESTION: 4
Which of the following process ensures that extracted data are ready for analysis?
A. Data analysis
B. Data gathering
C. Data access
D. Data validation
Answer: D
Explanation:
Explanation/Reference:
Explanation:
Data validation ensures that extracted data are ready for analysis. One objective is to perform data quality tests to ensure data are valid complete and free of errors. This may also involve making data from different sources suitable for comparative analysis.
Incorrect Answers:
A: Analysis of data involves simple set of steps or complex combination of commands and other functionality. Data analysis is designed in such a way to achieve the stated objectives from the project plan. Although this may be applicable to any monitoring activity, it would be beneficial to consider transferability and scalability. This may include robust documentation, use of software development standards and naming conventions.
C: Data gathering is the process of collecting data on risk to be monitored, prepare a detailed plan and define the project's scope. In the case of a monitoring project, this step should involve process owners, data owners, system custodians and other process stakeholders.
D: In the data access process, management identifies which data are available and how they can be acquired in a format that can be used for analysis. There are two options for data extraction:
Extracting data directly from the source systems after system owner approval

Receiving data extracts from the system custodian (IT) after system owner approval

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