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NEW QUESTION: 1
Which of the following statements about BFD Echo packets are true? (Choose two.)
A. Echo packets use UDP destination port number 3785.
B. Echo packets use UDP destination port number 3784.
C. The Echo packet format is not defined in BFD.
D. The Echo packet format is defined in BFD.
Answer: A,C

NEW QUESTION: 2
DRAG DROP


Answer:
Explanation:

Explanation:
Explanaton:

References: https://fasttrack.microsoft.com/about

NEW QUESTION: 3
You are planning the deployment of two new Always On Failover Cluster Instances (FCIs) of Microsoft SQL Server to a single Windows Server Cluster with three nodes. The planned configuration for the cluster is shown in the Server Layout exhibit. (Click the Exhibit button.)

The SAN team has configured storage for the cluster and sent the configuration to you in the email shown in the SAN Team Email exhibit. (Click the Exhibit button.)

Each node of the cluster has identical local storage available as shown in the Local Storage exhibit. (Click the Exhibit button.)

All local storage is on SSD.
You need to plan specific configurations for the new cluster.
For each of the following statement, select Yes if the statement is true. Otherwise, select No.

Answer:
Explanation:

Explanation

Box 1: Yes
tempdb on local storage. FCIs now support placement of tempdb on local non-shared storage, such as a local solid-state-drive, potentially offloading a significant amount of I/O from a shared SAN.
Prior to SQL Server 2012, FCIs required tempdb to be located on a symmetrical shared storage volume that failed over with other system databases.
Box 2: No
The VNN is set on the group level, not on the instance level.
Database client applications can connect directly to a SQL Server instance network name, or they may connect to a virtual network name (VNN) that is bound to an availability group listener. The VNN abstracts the WSFC cluster and availability group topology, logically redirecting connection requests to the appropriate SQL Server instance and database replica.
The logical topology of a representative AlwaysOn solution is illustrated in this diagram:

Box 3: No
You don't configure the SAN from a SQL Server, instead you can use a Microsoft Server server.
References:
http://download.microsoft.com/download/d/2/0/d20e1c5f-72ea-4505-9f26-fef9550efd44/microsoft%20sql%20se

NEW QUESTION: 4
在庫レベルは、前日の最終在庫から当日の売上を差し引いて計算する必要があります。
Litwareに店舗および製品ごとの現在の在庫レベルをすばやく計算する機能を提供する2つのオプションはどれですか？それぞれの正解は完全な解決策を提示します。
注：正しい選択はそれぞれ1ポイントの価値があります。
A. Azure Stream Analyticsを使用してイベントハブの出力を消費し、ストアおよび製品ごとにデータを集約します。結果のデータをAzureSQL DataWarehouseに直接出力します。 Transact-SQLを使用して在庫レベルを計算します。
B. Event HubsAvroファイルをAzureBlobストレージに出力します。 Transact-SQLを使用して、Azure SQL DataWarehouseのPolyBaseを使用して在庫レベルを計算します。
C. Azure Stream Analyticsを使用してイベントハブの出力を消費し、ストアおよび製品ごとにデータを集約します。結果のデータをDatabricksに出力します。 Databricksのインベントリレベルを計算し、データをAzureBlobストレージに出力します。
D. Event HubsAvroファイルをAzureBlobストレージに出力します。 Azure Data Factoryのコピーアクティビティをトリガーして10分ごとに実行し、データをAzure SQL DataWarehouseに読み込みます。 Transact-SQLを使用して
E. Databricksを使用してイベントハブの出力を消費します。 Databricksを使用してインベントリレベルを計算し、データをAzureSQLデータウェアハウスに出力します。
Answer: A,D
Explanation:
data by store and product.
Explanation:
A: Azure Stream Analytics is a fully managed service providing low-latency, highly available, scalable complex event processing over streaming data in the cloud. You can use your Azure SQL Data Warehouse database as an output sink for your Stream Analytics jobs.
E: Event Hubs Capture is the easiest way to get data into Azure. Using Azure Data Lake, Azure Data Factory, and Azure HDInsight, you can perform batch processing and other analytics using familiar tools and platforms of your choosing, at any scale you need.
Note: Event Hubs Capture creates files in Avro format.
Captured data is written in Apache Avro format: a compact, fast, binary format that provides rich data structures with inline schema. This format is widely used in the Hadoop ecosystem, Stream Analytics, and Azure Data Factory.
Scenario: The application development team will create an Azure event hub to receive real-time sales data, including store number, date, time, product ID, customer loyalty number, price, and discount amount, from the point of sale (POS) system and output the data to data storage in Azure.
Reference:
https://docs.microsoft.com/bs-latn-ba/azure/sql-data-warehouse/sql-data-warehouse-integrate-azure-stream-analytics
https://docs.microsoft.com/en-us/azure/event-hubs/event-hubs-capture-overview