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NEW QUESTION: 1
Which security features do thin clients provide to a customer? (Select two.)
A. Thin clients cannot be stolen as easily as a desktop PC.
B. Thin clients can be locked down so users can only access their virtual desktops.
C. Thin clients cannot be broken as easily as a desktop PC.
D. By default, thin clients do not allow data to be stored on the local machine.
E. Thin clients create more secure network connections than desktop PCs.
Answer: A,B
NEW QUESTION: 2
-- --
You support desktop computers and tablets that run Windows 8 Enterprise. All of the computers are able to connect to your company network from the Internet by using DirectAccess.
Your company wants to deploy a new application to the tablets. The deployment solution must meet the following requirements:
The application is stored locally on the tablets.
Access to the application is protected with extra logon credentials, in addition to a
standard domain account used by users.
The application utilizes the least amount of network bandwidth.
The application must maintain access to the current desktop.
You need to deploy the new application to the tablets.
What should you do?
A. Install Hyper-V on tablets. Install the application on a virtual machine.
B. Install the application within a separate Windows 8 installation in a virtual hard disk (VHD) file. Configure the tablets with dual boot.
C. Deploy the application as a published application on the Remote Desktop server. Create a Remote Desktop connection on the tablets.
D. Install the application within a separate Windows 8 installation in a VHDX file. Configure tablets with dual boot.
E. Publish the application to Windows Store.
F. Deploy the application as an Application Virtualization (App-V) package. Install the App-V 4.6 client on the tablets.
G. Install the application in a Windows To Go workspace.
H. Install the application on a local drive on the tablets.
Answer: A
NEW QUESTION: 3
Scenario: A company has one XenApp farm and two Web Interface servers configured with explicit authentication. Users trying to take advantage of the Smooth Roaming feature by moving between client devices, complain about inconsistent behavior.
In order to address this behavior, the administrator should ensure __________. (Choose the correct option to complete the sentence.)
A. that both Web Interface servers are joined to the same domain as the XenApp farm
B. the XenApp policy is configured to trust XML requests sent from both Web Interface servers
C. the Workspace Control settings are correct and identical on both Web Interface servers
D. that both Web Interface servers are upgraded to the same version
Answer: C
NEW QUESTION: 4
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
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