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NEW QUESTION: 1
Which two statements are true about the Connect Common Object Model? (Choose two.)
A. Primary objects contain either primitive data types or sub-objects.
B. CRUD operations can be performed on sub-objects only through their parent primary object.
C. Sub-objects contain only primitive data types.
D. An array object is a collection of primary objects.
E. Primary objects have only independent life cycles.
Answer: B,E
Explanation:
Explanation/Reference:
Explanation:
D: CRUD operations on Sub-Objects are done only via their parent object E: Primary objects have their own life cycle.Primary objects are objects with a unique ID (primary key) which can be directly created, read, updated, and deleted. All primary objects inherit from the RightNow RNObject. Primary objects have no set lifecycle in the Oracle RightNow Cx platform, meaning that once the objects are created, they exist in the system until they are deleted.
Incorrect Answers:
B: Sub objects that could be anywhere between 0 to many for a single primary object, live within the context of primary objects. Hence, their life cycle is based on the life cycle of the primary object. The exact lifecycle behavior for objects can be obtained from the relationship information contained in the metadata or in the object model documentation.
References:
https://docs.oracle.com/middleware/12212/adapter-rightnow/using-rightnow-adapter/GUID-1281970C-
426C-4826-9A83-B15E8AC0D197.htm
NEW QUESTION: 2
Subscription1という名前のAzureサブスクリプションがあります。 Subscription1には、VM1およびVM2という名前の2つのAzure仮想マシンが含まれています。 VM1およびVM2はWindows Server 2016を実行します。
VM1は、Azure Backupエージェントを使用せずに、Azure Backupによって毎日バックアップされます。
VM1は、データを暗号化するランサムウェアの影響を受けます。
VM1の最新のバックアップを復元する必要があります。
どの場所にバックアップを復元できますか？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:
Box 1: VM1 only
To restore files or folders from the recovery point, go to the virtual machine and choose the desired recovery point.
Box 2: A new Azure virtual machine only
On the Restore configuration blade, you have two choices:
* Create virtual machine
* Restore disks
References:
https://docs.microsoft.com/en-us/azure/backup/backup-azure-restore-files-from-vm
https://docs.microsoft.com/en-us/azure/backup/backup-azure-arm-restore-vms
NEW QUESTION: 3
You need to be able to access a file stored in a shared folder on your network even when
you are disconnected from the network. What should you do?
A. Configure the folder permissions as Read/Write.
B. Type the IP address of the network computer in the Address field of Internet Explorer.
C. From Control Panel, use Network and Internet.
D. Make the folder available offline.
Answer: A
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. 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。
C. 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。
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: A,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