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NEW QUESTION: 1
[7 PRODUKTIONSDURCHFÜHRUNG]
Während der Produktionsdurchführung in SAP ERP wird ein Wareneingang für das produzierte Produkt erfasst. Welcher der folgenden Belege wird als Ergebnis des Wareneingangs erstellt
A. Ein Kostenrechnungsbeleg im Management Accounting
B. Ein Materialbeleg in der Bestandsführung
C. Eine Reservierung in der Bestandsführung
D. Ein Lieferbeleg im Kundenauftragsmanagement
E. Ein Buchhaltungsbeleg in Financial Accounting
Answer: A,B,E
Explanation:
Explanation/Reference:
Materialbeleg, Buchhaltungsbeleg, Kostenre.beleg
eventl. noch Reservierung (Bsp. Maschinen)
NEW QUESTION: 2
You are developing a solution using a Lambda architecture on Microsoft Azure.
The data at test layer must meet the following requirements:
Data storage:
*Serve as a repository (or high volumes of large files in various formats.
*Implement optimized storage for big data analytics workloads.
*Ensure that data can be organized using a hierarchical structure.
Batch processing:
*Use a managed solution for in-memory computation processing.
*Natively support Scala, Python, and R programming languages.
*Provide the ability to resize and terminate the cluster automatically.
Analytical data store:
*Support parallel processing.
*Use columnar storage.
*Support SQL-based languages.
You need to identify the correct technologies to build the Lambda architecture.
Which technologies should you use? To answer, select the appropriate options in the answer area NOTE: Each correct selection is worth one point.
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
VNet1という名前の仮想ネットワークを含むAzureサブスクリプションがあります。 VNet 1には、Subnet1およびSubnet2という名前の2つのサブネットがあります。 VNet1は西ヨーロッパのAzureリージョンにあります。
サブスクリプションには、次の表の仮想マシンが含まれます。
AppGW1という名前のアプリケーションゲートウェイをVNet1に展開する必要があります。
最初に何をすべきですか?
A. サービスエンドポイントを追加します。
B. VM3をSubnet1に移動します。
C. VM1およびVM2を停止します。
D. 仮想ネットワークを追加します。
Answer: C
Explanation:
If you have an existing virtual network, either select an existing empty subnet or create a new subnet in your existing virtual network solely for use by the application gateway.
Verify that you have a working virtual network with a valid subnet. Make sure that no virtual machines or cloud deployments are using the subnet. The application gateway must be by itself in a virtual network subnet.
References:
参照:
https://social.msdn.microsoft.com/Forums/azure/en-9127-b7a506a0a151/cant-creategateway?forum=WAVirtualMachinesVirtualNetwork
https://docs.microsoft.com/engateway-create-gateway