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NEW QUESTION: 1
A company wants to manage the costs associated with a group of 20 applications that are critical, by migrating to AWS. The applications are a mix of Java and Node.js spread across different instance clusters.
The company wants to minimize costs while standardizing by using a single deployment methodology. Most of the applications are part of month-end processing routines with a small number of concurrent users, but they are occasionally run at other times. Average application memory consumption is less than 1 GB, though some applications use as much as 2.5 GB of memory during peak processing. The most important application in the group is a billing report written in Java that accesses multiple data sources and often for several hours.
Which is the MOST cost-effective solution?
A. Deploy Amazon ECS containers on Amazon EC2 with Auto Scaling configured for memory utilization of 75%. Deploy an ECS task for each application being migrated with ECS task scaling. Monitor services and hosts by using Amazon CloudWatch.
B. Deploy a new amazon EC2 instance cluster that co-hosts all applications by using EC2 Auto Scaling and Application Load Balancers. Scale cluster size based on a custom metric set on instance memory utilization. Purchase 3-year Reserved instance reservations equal to the GroupMaxSize parameter of the Auto Scaling group.
C. Deploy a separate AWS Lambda function for each application. Use AWS CloudTrail logs and Amazon CloudWatch alarms to verify completion of critical jobs.
D. Deploy AWS Elastic Beanstalk for each application with Auto Scaling to ensure that all requests have sufficient resources. Monitor each AWS Elastic Beanstalk deployment with using CloudWatch alarms.
Answer: C

NEW QUESTION: 2
Which of the following indicators we cannot use for the material-specific control of putaway activities? (Choose two)
A. Stock placement indicator
B. Bulk storage indicator
C. Special movement indicator
D. Open storage indicator
E. Next bin indicator
F. Storage placement indicator
Answer: D,E

NEW QUESTION: 3
生産24x7のOracle12cのデータベースのパフォーマンスが大幅に劣化していることに気づきます。時には、それがハングアップしているため、データベース・インスタンスに接続することができません。
どのようにパフォーマンス低下の原因を検出することができますか。
A. 分析のためのSGAから直接データをフェッチするリアルタイム自動データベース診断モニター（ADDM）を使用して、緊急時のモニタリングを行うことによります。
B. 最新の自動ワークロード・リポジトリ（AWR）のスナップショットから情報を取得するためにADDMを実行することによります。
C. 診断モードでADDMを実行することによります。
D. アクティブ・セッション履歴（ASH）データを使用し、ハング分析を実行することによります。
Answer: B

NEW QUESTION: 4
The Hyperledger Project Framework of blockchains is meant for specific use cases for enterprise.
Which blockchain includes a novel consensus algorithm, Proof of Elapsed Time (PoET)?
A. Hyperledger Indy
B. Hyperledger Iroha
C. Hyperledger Sawtooth
D. Hyperledger Fabric
Answer: C
Explanation:
Explanation
Hyperledger Sawtooth is a modular platform for building, deploying, and running distributed ledgers.
Hyperledger Sawtooth includes a novel consensus algorithm, Proof of Elapsed Time (PoET), which targets large distributed validator populations with minimal resource consumption.