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NEW QUESTION: 1
複数のアプリケーションで使用される.NET Coreライブラリを開発しています。 このライブラリには、EnsureSecurityMiddlewareというASP.NETコアミドルウェアが含まれています。
EnsureSecurityMiddlewareは常に他のミドルウェアの前に実行する必要があります。
ミドルウェアを設定する必要があります。
コードをどのように完成させるべきですか？ 答えを得るには、適切なコードセグメントを正しい場所にドラッグします。
各コードセグメントは、1回、複数回、またはまったく使用されないことがあります。 コンテンツを表示するには、分割バーをペインの間にドラッグするかスクロールする必要があります。
注：それぞれの正しい選択は1パイントの価値があります。

Answer:
Explanation:

NEW QUESTION: 2
You are implementing a data entry screen to include an asset ID field to track company equipment. All asset IDs are eight characters in length. The first three characters are letters followed by a five-digit number.
Which validation approach restricts entries for the asset ID field to the required format?
A. Text data type
B. Validate rule
C. Min/Max characters
D. Edit Validate rule
Answer: D

NEW QUESTION: 3
데이터 과학 팀에는 야간 로그 처리를위한 스토리지가 필요합니다. 로그의 크기와 수는 알 수 없으며 24 시간 동안만 지속됩니다. 가장 비용 효율적인 솔루션은 무엇입니까?
A. Amazon S3 지능형 계층
B. 아마존 S3 빙하
C. Amazon S3 표준
D. Amazon S3 One Zone-Infrequent Access {S3 One Zone-IA)
Answer: C
Explanation:
S3 standard is the best choice in this scenario for a short term storage solution. In this case the size and number of logs is unknown and it would be difficult to fully assess the access patterns at this stage. Therefore, using S3 standard is best as it is cost-effective, provides immediate access, and there are no retrieval fees or minimum capacity charge per object.
CORRECT: "Amazon S3 Standard" is the correct answer.
INCORRECT: "Amazon S3 Intelligent-Tiering" is incorrect as there is an additional fee for using this service and for a short-term requirement it may not be beneficial.
INCORRECT: "Amazon S3 One Zone-Infrequent Access (S3 One Zone-IA)" is incorrect as this storage class has a minimum capacity charge per object (128 KB) and a per GB retrieval fee.
INCORRECT: "Amazon S3 Glacier Deep Archive" is incorrect as this storage class is used for archiving data. There are retrieval fees and it take hours to retrieve data from an archive.
References:
https://aws.amazon.com/s3/storage-classes/

NEW QUESTION: 4
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. 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.
B. 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.
C. 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.
D. 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.
Answer: C
Explanation:
Explanation
https://docs.aws.amazon.com/firehose/latest/dev/writing-with-agents.html