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NEW QUESTION: 1
Your network contains an Active Directory domain named contoso.com. The domain contains a domain-based Distributed file System (DFS) namespace named Namespace1 that has access-based enumeration enabled.
Namespace1 has a folder named folder1. Folder1 has a target of \\Server1\Folder1.
The Permission for folder1 are configured as shown in the following table.

Access-based enumeration is disabled for the share of Folder1.
You need to ensure that both User1 and User2 can see Folder1 when they access \\Contoso.com\NameSpace1 What should you do?
A. Assign User1 the read NTFS permission to folder1
B. Disable access-based enumeration for Namespace1.
C. Enable access-based enumeration for Folder1.
D. Deny User1 the read DFS permission to Folder1.
Answer: B

NEW QUESTION: 2
A customer is interested in purchasing XtremIO for their mission critical database applications that require the lowest possible response times. They have two data centers in which they want to introduce All-Flash arrays. However, they need a way to maintain true active/active access to all databases and application LUNs across both sites.
What is the recommended solution to address the requirements?
A. VPLEX Metro with XtremIO
B. ViPR SRM with XtremIO
C. RecoverPoint with XtremIO
D. ViPR Controller with XtremIO
Answer: A
Explanation:
The EMC VPLEX family is the next-generation solution for data mobility and access within, across and between data centers.
VPLEX supports two configurations, local and metro. In the case of VPLEX Metro with the optional VPLEX Witness and Cross-Connected configuration, applications continue to operate in the surviving site with no interruption or downtime. Storage resources virtualized by VPLEX cooperate through the stack, with the ability to dynamically move applications and data across geographies and service providers.

NEW QUESTION: 3
Refer to the exhibit.

Router R2 is configured with multiple routes to reach network 10 1.1 0/24 from router R1. What protocol is chosen by router R2 to reach the destination network 10.1 1 0/24?
A. EIGRP
B. static
C. OSPF
D. eBGP
Answer: B

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. 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。
B. 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。
C. 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。
D. 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。
E. 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
Answer: B,E
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