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NEW QUESTION: 1
You have a Hyper-V failover cluster that contains three nodes. Virtual machines are distributed evenly across the cluster nodes.
You need to ensure that if a node loses connectivity from the other nodes, the virtual machines on the node will be transitioned to one of the remaining nodes after one minute.
Which settings should you modify?
A. SameSubnetDelay and CrossSubnetDelay
B. QuorumArbitrationTimeMax and RequestReplyTimeout
C. ResiliencyPeriod and ResiliencyLevel
D. QuaranteneDuration and QuarantineThreshold
Answer: B
Explanation:
Explanation/Reference:
References: https://msdn.microsoft.com/en-us/library/aa369123(v=vs.85).aspx
https://msdn.microsoft.com/en-us/library/bb394696(v=vs.85).aspx
NEW QUESTION: 2
Microsoft AzureでLambdaアーキテクチャを使用してソリューションを開発しています。
テストレイヤーのデータは、次の要件を満たしている必要があります。
データストレージ：
*リポジトリ（またはさまざまな形式の大量の大容量ファイル）として機能します。
*ビッグデータ分析ワークロード用に最適化されたストレージを実装します。
*階層構造を使用してデータを整理できるようにします。
バッチ処理：
*メモリ内の計算処理にはマネージドソリューションを使用します。
* Scala、Python、およびRプログラミング言語をネイティブにサポートします。
*クラスターを自動的にサイズ変更および終了する機能を提供します。
Analytical data store:
* Support parallel processing.
* Use columnar storage.
* Support SQL-based languages.
Lambdaアーキテクチャを構築するには、正しいテクノロジーを特定する必要があります。
どのテクノロジーを使用する必要がありますか？回答するには、回答エリアで適切なオプションを選択します
注：それぞれの正しい選択には1ポイントの価値があります。
Answer:
Explanation:
Explanation
Data storage: Azure Data Lake Store
A key mechanism that allows Azure Data Lake Storage Gen2 to provide file system performance at object storage scale and prices is the addition of a hierarchical namespace. This allows the collection of objects/files within an account to be organized into a hierarchy of directories and nested subdirectories in the same way that the file system on your computer is organized. With the hierarchical namespace enabled, a storage account becomes capable of providing the scalability and cost-effectiveness of object storage, with file system semantics that are familiar to analytics engines and frameworks.
Batch processing: HD Insight Spark
Aparch Spark is an open-source, parallel-processing framework that supports in-memory processing to boost the performance of big-data analysis applications.
HDInsight is a managed Hadoop service. Use it deploy and manage Hadoop clusters in Azure. For batch processing, you can use Spark, Hive, Hive LLAP, MapReduce.
Languages: R, Python, Java, Scala, SQL
Analytic data store: SQL Data Warehouse
SQL Data Warehouse is a cloud-based Enterprise Data Warehouse (EDW) that uses Massively Parallel Processing (MPP).
SQL Data Warehouse stores data into relational tables with columnar storage.
References:
https://docs.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-namespace
https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/batch-processing
https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-overview-what-is
NEW QUESTION: 3
회사는 Amazon S3를 일일 분석가 보고서를 위한 데이터 스토리지 솔루션으로 평가하고 있습니다. 회사는 유휴 데이터의 보안에 관한 엄격한 요구 사항을 구현했습니다. 특히 CISO는 엔벨로프 키 사용, 암호화 키의 자동 회전, 암호화 키 사용시기 및 대상에 대한 가시성에 대한 별도의 권한이 있는 엔벨로프 암호화 사용을 요청했습니다.
CISO가 요청한 보안 요구 사항을 충족하기 위해 솔루션 아키텍트는 어떤 단계를 수행해야합니까?
A. Amazon S3 버킷을 생성하여 보고서를 저장하고 Amazon S3 관리 키 (SSE-S3)와 함께 서버 측 암호화로 Amazon s3 버전 관리를 사용하십시오.
B. Amazon S3 버킷을 생성하여 보고서를 저장하고 고객 제공 키 (SSE-C)와 함께 서버 측 암호화를 사용하십시오.
C. Amazon S3 버킷을 생성하여 보고서를 저장하고 AWS KMS 관리 키 (SSE-KMS)와 함께 서버 측 암호화를 사용하십시오.
D. Amazon S3 버킷을 생성하여 보고서를 저장하고 Amazon S3 관리 키 (SSE-S3)와 함께 서버 측 암호화를 사용하십시오.
Answer: C
Explanation:
Explanation
https://docs.aws.amazon.com/kms/latest/developerguide/concepts.html
NEW QUESTION: 4
The ?Balance sheet preparation valuation? indicator of the SAPF100 program determines whether or not open items will be updated
A. True
B. False
Answer: A
