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NEW QUESTION: 1
A solutions architect is designing storage for a high performance computing (HPC) environment based on Amazon Linux. The workload stores and processes a large amount of engineering drawings that require shared storage and heavy computing.
Which storage option would be the optimal solution?
A. Amazon Elastic File System (Amazon EFS)
B. Amazon EC2 instance store
C. Amazon EBS Provisioned IOPS SSD (io1)
D. Amazon FSx for Lustre
Answer: D
Explanation:
Amazon FSx for Lustre
Amazon FSx for Lustre is a new, fully managed service provided by AWS based on the Lustre file system. Amazon FSx for Lustre provides a high-performance file system optimized for fast processing of workloads such as machine learning, high performance computing (HPC), video processing, financial modeling, and electronic design automation (EDA).
FSx for Lustre allows customers to create a Lustre filesystem on demand and associate it to an Amazon S3 bucket. As part of the filesystem creation, Lustre reads the objects in the buckets and adds that to the file system metadata. Any Lustre client in your VPC is then able to access the data, which gets cached on the high-speed Lustre filesystem. This is ideal for HPC workloads, because you can get the speed of an optimized Lustre file system without having to manage the complexity of deploying, optimizing, and managing the Lustre cluster.
Additionally, having the filesystem work natively with Amazon S3 means you can shut down the Lustre filesystem when you don't need it but still access objects in Amazon S3 via other AWS Services. FSx for Lustre also allows you to also write the output of your HPC job back to Amazon S3.
https://d1.awsstatic.com/whitepapers/AWS%20Partner%20Network_HPC%20Storage%20Options_2019_FINAL.pdf
NEW QUESTION: 2
You administer a Microsoft Azure SQL Database instance.
You are writing a new stored procedure that uses explicit transactions.
You need to ensure that no other process can affect the objects being used by the stored procedure while it is running.
Which Transact-SQL statement should you run?
A. SET CURSOR_CLOSE_ON_COMMIT ON
B. SET XACT_ABORT ON
C. SET IMPLICIT_TRANSACTIONS ON
D. SET TRANSACTION ISOLATION LEVEL SERIALIZABLE
Answer: D
Explanation:
SERIALIZABLE specifies the following:
Statements cannot read data that has been modified but not yet committed by other transactions.
No other transactions can modify data that has been read by the current transaction until the current transaction completes.
Other transactions cannot insert new rows with key values that would fall in the range of keys read by any statements in the current transaction until the current transaction completes.
References:
https://docs.microsoft.com/en-us/sql/t-sql/statements/set-transaction-isolation-level-transact-sql
NEW QUESTION: 3
ある企業は、99.99%のSLAを持つ動的なミッションクリティカルなWebアプリケーションを実行しています。グローバルアプリケーションユーザーは、24時間年中無休でアプリケーションにアクセスします。アプリケーションは現在オンプレミスでホストされており、特に何百万人ものユーザーが同時にアプリケーションにアクセスする場合、SLAを定期的に満たすことができません。リモートユーザーは遅延を訴えます。
このアプリケーションをどのように再設計してスケーラブルにし、最低コストで自動フェイルオーバーを可能にする必要がありますか?
A. Amazon Route 53地理位置情報ベースのルーティングを使用します。 Network Load Balancerの背後にある自動的にスケーリングされたAWS Fargateコンテナーでウェブサイトをホストし、各リージョンのアプリケーションレイヤーに追加のNetwork Load BalancerおよびFargateコンテナーを追加します。 Aurora MySQL用のAmazon Aurora Multi-Masterをデータレイヤーとして使用します。
B. Amazon Route 53レイテンシベースのルーティングを使用して、ヘルスチェックで最も近い地域にルーティングします。各リージョンのAmazon S3でウェブサイトをホストし、アプリケーション層にAWS LambdaでAmazon API Gatewayを使用します。 Amazon DynamoDBグローバルテーブルを、キャッシュ用のAmazon DynamoDB Accelerator(DAX)のデータレイヤーとして使用します。
C. 位置情報ベースのルーティングでAmazon Route 53フェイルオーバールーティングを使用します。各地域のアプリケーション層に追加のApplication Load BalancerおよびEC2インスタンスを備えたApplication Load Balancerの背後にある、自動的にスケーリングされたAmazon EC2インスタンスでWebサイトをホストします。データ層としてMySQLを使用したマルチAZ配置を使用します。
D. Amazon Route 53ラウンドロビンルーティングを使用して、ヘルスチェックで複数のリージョンに負荷を均等に分散します。 Network Load Balancerの背後にあるAWS Fargateテクノロジーコンテナー、および各リージョンのアプリケーションレイヤー用の追加のNetwork Load Balancerコンテナーを使用して、自動的にスケーリングされたAmazon ECSでウェブサイトをホストします。データレイヤーにAmazon Auroraレプリカを使用します。
Answer: B
Explanation:
https://aws.amazon.com/getting-started/projects/build-serverless-web-app-lambda-apigateway- s3-dynamodb-cognito/ A\D: Should be latency based routing the ensure latency is at a minimum. Remember the users are spread globally not to specific regions where you can maybe use geo to spread the load across just a few region.
B: Similar to A.