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NEW QUESTION: 1
If you are looking to launch a nationwide brand awareness campaign specifically targeting mobile users, how can audience insights segment Facebook's data to assist your preparatory analysis?
A. By location and language
B. By choosing a target audience that frequently log in to Facebook via mobile
C. By target audience that have chosen mobile as their preferred communication channel
D. By purchases activity (e.g. store or online)
Answer: B
Explanation:
Explanation: Audience insights can reveal how frequently people in your target audience are logging into Facebook via mobile and what device they are using. This would be useful to analyse for a campaign aimed at mobile users.
NEW QUESTION: 2
An application you maintain consists of multiple EC2 instances in a default tenancy VPC. This application has undergone an internal audit and has been determined to require dedicated hardware for one instance. Your compliance team has given you a week to move this instance to single-tenant hardware.
Which process will have minimal impact on your application while complying with this requirement?
A. Right click on the instance, select properties and check the box for dedicated tenancy
B. Use ec2-reboot-instances command line and set the parameter "dedicated=true"
C. Create a new VPC with tenancy=dedicated and migrate to the new VPC
D. Stop the instance, create an AMI, launch a new instance with tenancy=dedicated, and terminate the old instance
Answer: D
Explanation:
Explanation
You cannot change the tenancy of a default instance after you've launched it.
You can change the tenancy of an instance from "dedicated" to "host" after you've launched it, and vice versa.
NEW QUESTION: 3
エンジニアリングチームがNode.js eコマースアプリケーションを管理しています。現在の環境は次のコンポーネントで構成されています：「コンテンツを保存するためのAmazon S3バケット」フロントエンドウェブサーバー用のAmazon EC2「画像処理を実行するためのAWS Lambda」セッション関連データを保存するためのAmazon DynamoDBチームはトラフィックの大幅な増加を期待していますサイトへ。アプリケーションは、中断することなく追加の負荷を処理する必要があります。チームは、EC2フロントエンドに新しいサーバーを追加して初期テストを実行し、より大きな負荷を処理しましたが、インスタンスが完全に構成されるまでに最大20分かかりました。チームは、この構成時間を短縮したいと考えています。期待される需要の増加に対応しながら、ソリューションを最も回復力があり、可用性の高いものにするために、エンジニアリングチームが実装する必要がある変更は何ですか？
A. すべてのウェブコンポーネントを含むカスタムAMIでAWS Elastic Beanstalkを使用します。複数のアベイラビリティーゾーンにわたってApplication Load Balancerの背後にあるAuto Scalingグループを使用してプラットフォームをデプロイします。 Amazon DynamoDB Auto Scalingを実装します。 Amazon Route 53を使用して、アプリケーションDNSレコードがElastic Beanstalkロードバランサーを指すようにします。
B. AWS OpsWorksを使用して、起動時に新しい各EC2インスタンスを自動的に構成します。複数のアベイラビリティーゾーン間でApplication Load Balancerの背後にあるAuto Scalingグループを使用してEC2インスタンスを設定します。 Amazon DynamoDB Auto Scalingを実装します。 Amazon Route 53を使用して、アプリケーションDNSレコードがApplication Load Balancerを指すようにします。
C. Amazon CloudFrontを構成し、その起点をAmazon S3にして、ウェブアプリケーションをホストします。 Amazon DynamoDB Auto Scalingを実装します。 Amazon Route 53を使用して、アプリケーションDNSレコードがCloudFront DNS名を指すようにします。
D. EC2インスタンスのフリートをデプロイし、現在の容量を2倍にし、それらをApplication Load Balancerの背後に配置します。 Amazon DynamoDBの読み取りおよび書き込みキャパシティーユニットを増やします。 Application Load Balancerエンドポイントを含むエイリアスレコードを、アプリケーションを指す既存のAmazon Route 53 DNSレコードに追加します。
Answer: A
NEW QUESTION: 4
Your current log analysis application takes more than four hours to generate a report of the top 10 users of your web application.
You have been asked to implement a system that can report this information in real time, ensure that the report is always up to date, and handle increases in the number of requests to your web application. Choose the option that is cost-effective and can fulfill the requirements.
A. Publish your log data to an Amazon S3 bucket.
Use AWS CloudFormation to create an Auto Scaling group to scale your post-processing application which is configured to pull down your log files stored an Amazon S3.
B. Post your log data to an Amazon Kinesis data stream, and subscribe your log-processing application so that is configured to process your logging data.
C. Configure an Auto Scaling group to increase the size of your Amazon EMR duster.
D. Publish your data to CloudWatch Logs, and configure your application to autoscale to handle the load on demand.
E. Create a multi-AZ Amazon RDS MySQL cluster, post the logging data to MySQL, and run a map reduce job to retrieve the required information on user counts.
Answer: B
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