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NEW QUESTION: 1
IT関連のガバナンスフレームワークのコンテキスト内で、どのタイプの組織が最も成熟していると見なされますか？
A. 継続的に更新されるポリシーと手順を備えたダイナミックな成長の状態にある組織
B. プロセスが反復可能であり、結果が定期的にレビューされる組織
C. 文書化された標準プロセスの確立されたセットを持つ組織
D. 継続的な改善によって体系的に管理されたプロセスを持つ組織
Answer: D
NEW QUESTION: 2
What is the difference between the SAP sales documents Delivery Free-of-Charge and Subsequent Delivery Free-of-Charge?
A. Subsequent Delivery Free-of-Charge uses item category KLN, which carries out no pricing and no billing. Delivery Free-of-Charge uses item category TAN, which carries out pricing and billing.
B. Subsequent Delivery Free-of-Charge requires a mandatory reference to a sales document. Delivery Free-of-Charge does not have this requirement.
C. Delivery Free-of-Charge must be created with reference to a preceding invoice. Subsequent Delivery Free-of-Charge can be created with reference to an invoice or sales order.
D. Subsequent Delivery Free-of-Charge is only created in case of partial deliveries. Delivery Free-of-Charge is created with reference to return deliveries only.
Answer: B
NEW QUESTION: 3
Answer:
Explanation:
Explanation
Box 1: Azure Search Index
In Azure Search, an index is a persistent store of documents and other constructs used by an Azure Search service. A document is a single unit of searchable data in your index. For example, an e-commerce retailer might have a document for each item they sell, a news organization might have a document for each article, and so forth. Mapping these concepts to more familiar database equivalents: an index is conceptually similar to a table, and documents are roughly equivalent to rows in a table.
When you add/upload documents and submit search queries to Azure Search, you submit your requests to a specific index in your search service.
Scenario: Document Inventory: This page shows a list of all processed documents provided by a customer.
The page can be configured to show documents for a selected category.
Box 2: Azure Cosmos DB Index
Azure Cosmos DB supports indexing and querying of geospatial point data that's represented using the GeoJSON specification. GeoJSON data structures are always valid JSON objects, so they can be stored and queried using Azure Cosmos DB without any specialized tools or libraries. The Azure Cosmos DB SDKs provide helper classes and methods that make it easy to work with spatial data.
Scenario: The solution uses Cosmos DB for data storage.
Document Upload Sources: This page shows a map and information about the geographic distribution of uploaded documents. This page allows users to filter the map based on assigned categories.
Reference:
https://docs.microsoft.com/en-us/azure/search/search-what-is-an-index