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NEW QUESTION: 1
Which statement is true about publishing items in Oracle Product Hub Cloud?
A. All newly created items are published, irrespective of the Publication Criteria.
B. All items that meet the Publication Criteria, irrespective of the last Publication Date or Criteria Date, are published.
C. All items that meet the last Publication Date or Criteria Date, irrespective of the Publication Criteria, are published.
D. All items that meet the last Publication Date or Criteria Date and the Publication Criteria are published.
Answer: C
Explanation:
Explanation/Reference:
Reference: https://docs.oracle.com/cloud/farel12/scmcs_gs/FAPIM/FAPIM1176849.htm#FAPIM1176849

NEW QUESTION: 2
You need to change BIOS configuration settings without rebooting a server.
Which system utility should you use?
A. smart Storage Administrator
B. Lights-Out Online Configuration utility
C. intelligent Provisioning
D. Intelligent Management Center
Answer: C

NEW QUESTION: 3
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に店舗と製品ごとに現在の在庫レベルを迅速に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：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。
A. Event Hubs AvroファイルをAzure Blob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 Data Warehouseに読み込みます。 Transact-SQLを使用して、ストアおよび製品ごとにデータを集計します。
B. Event Hubs AvroファイルをAzure Blobストレージに出力します。 Transact-SQLを使用して、Azure SQL Data Warehouse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計します。結果のデータをAzure SQL Data Warehouse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。
D. Databricksを使用して、イベントハブの出力を使用します。 Databricksを使用して在庫レベルを計算し、データをAzure SQL Data Warehouseに出力します。
E. 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計します。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Azure Blobストレージに出力します。
Answer: A,C
Explanation:
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-analy
https://docs.microsoft.com/en-us/azure/event-hubs/event-hubs-capture-overview

NEW QUESTION: 4
You have the following code:
How should you complete the code? To answer, drag the appropriate code segment to the correct position.
Each code segment may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.


Answer:
Explanation:

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