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NEW QUESTION: 1
あなたはウェブサイトを開発します。 AzureでWebサイトをホストする予定です。あなたはそれが公開された後ウェブサイトが大量のトラフィックを経験することを期待します。コストを最小限に抑えながら、Webサイトを常に利用可能で即応性のあるものにする必要があります。あなたはウェブサイトを展開する必要があります。あなたは何をするべきか？
A. 共有サービス層を使用するApp ServiceにWebサイトをデプロイします。 CPU負荷が高いときに自動的に拡張するようにApp Serviceプランを構成します。
B. 標準サービス層を使用するApp ServiceにWebサイトをデプロイします。 CPU負荷が高いときに自動的に拡張するようにApp Serviceプランを構成します。
C. Webサイトを仮想マシンに配置します。 CPU負荷が高いときに仮想マシンのインスタンス数を増やすようにスケールセットを設定します。
D. Webサイトを仮想マシンに展開します。 CPU負荷が高いときに自動的に拡張するように仮想マシンを構成します。
Answer: B
Explanation:
Windows Azure Web Sites (WAWS) offers 3 modes: Standard, Free, and Shared.
Standard mode carries an enterprise-grade SLA (Service Level Agreement) of 99.9% monthly, even for sites with just one instance.
Standard mode runs on dedicated instances, making it different from the other ways to buy Windows Azure Web Sites.

NEW QUESTION: 2
A user states that when they power on their computer, they receive a "Non-bootable drive" error. The user works with external storage devices to transport data to their computer. The user stated that the computer worked fine the day before. Which of the following should be checked FIRST to resolve this issue?
A. Hard drive cable
B. Device boot order
C. PXE boot settings
D. Jumper settings
Answer: B
Explanation:
Reference:http://pcsupport.about.com/od/fixtheproblem/ss/bootorderchange.htm

NEW QUESTION: 3
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: 4
What is the maximum number of LUNs in a Consistency Group?
A. 0
B. 1
C. 2
D. 3
Answer: B