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NEW QUESTION: 1
An organization is setting up an application on AWS to have both High Availability (HA) and Disaster Recovery (DR). The organization wants to have both Recovery point objective (RPO) and Recovery time objective (RTO) of 10 minutes.
Which of the below mentioned service configurations does not help the organization achieve the said RPO and RTO?
A. Use an elastic IP to assign to a running instance and use Route 53 to map the user's domain with that IP.
B. Create ELB with multi-region routing to allow automated failover when required.
C. Use an AMI copy to keep the AMI available in other regions.
D. Take a snapshot of the data every 10 minutes and copy it to the other region.
Answer: B
Explanation:
Explanation
AWS provides an on demand, scalable infrastructure. AWS EC2 allows the user to launch On- Demand instances and the organization should create an AMI of the running instance. Copy the AMI to another region to enable Disaster Recovery (DR) in case of region failure. The organization should also use EBS for persistent storage and take a snapshot every 10 minutes to meet Recovery time objective (RTO). They should also setup an elastic IP and use it with Route 53 to route requests to the same IP. When one of the instances fails the organization can launch new instances and assign the same EIP to a new instance to achieve High Availability (HA). The ELB works only for a particular region and does not route requests across regions.
References:
NEW QUESTION: 2
Was sollte die ERSTE Vorgehensweise eines Informationssicherheitsmanagers sein, wenn er von einer Sicherheitsbedrohung erfährt, die zum ersten Mal in der Branche aufgetreten ist?
A. Führen Sie eine Kontrolllückenanalyse der Unternehmensumgebung durch
B. Überarbeiten Sie den Notfallplan der Organisation.
C. Untersuchen Sie die Antworten von Opfern, die ähnlichen Bedrohungen ausgesetzt waren.
D. Aktualisieren Sie die entsprechende Informationssicherheitsrichtlinie.
Answer: A
NEW QUESTION: 3
あなたの会社は世界中の顧客の給与計算アプリケーションを管理しています。アプリケーションは、DB1という名前のAzure SQLデータベースを使用します。データベースには、Employeeという名前のテーブルとEmployeeIdという名前のID列が含まれています。
顧客は、EmployeeIdを機密データとして扱うことを要求します。
ユーザーがEmployeeIdをクエリするときは常に、EmployeeId値の代わりに1〜10のランダムな値を返す必要があります。
どのマスキングフォーマットを使用しますか？
A. number
B. default
C. string
Answer: A
Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/sql-database/sql-database-dynamic-data-masking-get-started-portal
NEW QUESTION: 4
A company has an application that generates a weather forecast that is updated every 15 minutes with an output resolution of 1 billion unique positions, each approximately 20 bytes in size (20 Gigabytes per forecast). Every hour, the forecast data is globally accessed approximately 5 million times (1,400 requests per second), and up to 10 times more during weather events. The forecast data is overwritten every update. Users of the current weather forecast application expect responses to queries to be returned in less than two seconds for each request.
Which design meets the required request rate and response time?
A. Store forecast locations in an Amazon S3 as individual objects. Create an Amazon CloudFront distribution targeting an Elastic Load Balancing group of an Auto Scaling fleet of EC2 instances, querying the origin of the S3 object. Set the cache-control timeout for 15 minutes in the CloudFront distribution.
B. Store forecast locations in an Amazon ES cluster. Use an Amazon CloudFront distribution targeting an Amazon API Gateway endpoint with AWS Lambda functions responding to queries as the origin.
Enable API caching on the API Gateway stage with a cache-control timeout set for 15 minutes.
C. Store forecast locations in an Amazon EFS volume. Create an Amazon CloudFront distribution that targets an Elastic Load Balancing group of an Auto Scaling fleet of Amazon EC2 instances that have mounted the Amazon EFS volume. Set the set cache-control timeout for 15 minutes in the CloudFront distribution.
D. Store forecast locations in an Amazon ES cluster. Use an Amazon CloudFront distribution targeting an API Gateway endpoint with AWS Lambda functions responding to queries as the origin. Create an Amazon Lambda@Edge function that caches the data locally at edge locations for 15 minutes.
Answer: B
Explanation:
Explanation
https://aws.amazon.com/blogs/networking-and-content-delivery/lambdaedge-design-best-practices/
