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NEW QUESTION: 1
次の要件を満たすAzureストレージアカウントを作成する必要があります。
*コストを最小化
*ホット、クール、アーカイブのブロブ階層をサポート
*災害がアカウントが存在するAzureリージョンに影響を与えた場合のフォールトトレランスを提供します。どのようにコマンドを完了する必要がありますか？回答するには、回答領域で適切なオプションを選択します。注意：
それぞれの正しい選択は1ポイントの価値があります

Answer:
Explanation:

Explanation:
Box 1: StorageV2
You may only tier your object storage data to hot, cool, or archive in Blob storage and General Purpose v2 (GPv2) accounts. General Purpose v1 (GPv1) accounts do not support tiering.
General-purpose v2 accounts deliver the lowest per-gigabyte capacity prices for Azure Storage, as well as industry-competitive transaction prices.
Box 2: Standard_GRS
Geo-redundant storage (GRS): Cross-regional replication to protect against region-wide unavailability.
Incorrect Answers:
Locally-redundant storage (LRS): A simple, low-cost replication strategy. Data is replicated within a single storage scale unit.
Read-access geo-redundant storage (RA-GRS): Cross-regional replication with read access to the replica. RA-GRS provides read-only access to the data in the secondary location, in addition to geo-replication across two regions, but is more expensive compared to GRS.
References:
https://docs.microsoft.com/en-us/azure/storage/common/storage-redundancy-grs
https://docs.microsoft.com/en-us/azure/storage/blobs/storage-blob-storage-tiers

NEW QUESTION: 2
あなたのデータベースは、Purchasesという名前のテーブルを含みます。テーブルには、各購入が行われた日付と時刻を格納するPurchaseTimeというDATETIME列が含まれています。非クラスタ化インデックスが、PurchaseTime列にあります。ビジネス・チームは、現在の日に作られる購入品の総数を示すレポートを望んでいます。あなたは、最も効率的な方法で正しい結果を返す問合わせを書く必要があります。どのTransact-SQLクエリを使うべきでしょうか。
A. SELECT COUNT(*) FROM Purchases WHERE CONVERT(VARCHAR, PurchaseTime, 112) = CONVERT(VARCHAR, GETDATE(), 112)
B. SELECT COUNT(*) FROM Purchases WHERE PurchaseTime = GETDATE()
C. SELECT COUNT(*) FROM Purchases WHERE PurchaseTime = CONVERT(DATE, GETDATE())
D. SELECT COUNT(*) FROM Purchases WHERE PurchaseTime >= CONVERT(DATE, GETDATE())
AND PurchaseTime < DATEADD(DAY, 1, CONVERT(DATE, GETDATE()))
Answer: D
Explanation:
Two answers will return the correct results (the "WHERE CONVERT..." and "WHERE ... AND ... " answers).
The correct answer for Microsoft would be the answer that is most "efficient". Anybody have a clue as to which is most efficient? In the execution plan, the one that I've selected as the correct answer is the query with the shortest duration. Also, the query answer with "WHERE CONVERT..." threw warnings in the execution plan...something about affecting CardinalityEstimate and SeekPlan.
I also found this article, which leads me to believe that I have the correct answer:
http://technet.microsoft.com/en-us/library/ms181034.aspx

NEW QUESTION: 3
緊急道路対応車両が自動的に発送されるようにする必要があります。
処理システムをどのように設計する必要がありますか？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

Box1: API App

* Events generated from the IoT data sources are sent to the stream ingestion layer through Azure HDInsight Kafka as a stream of messages. HDInsight Kafka stores streams of data in topics for a configurable of time.
* Kafka consumer, Azure Databricks, picks up the message in real time from the Kafka topic, to process the data based on the business logic and can then send to Serving layer for storage.
* Downstream storage services, like Azure Cosmos DB, Azure SQL Data warehouse, or Azure SQL DB, will then be a data source for presentation and action layer.
* Business analysts can use Microsoft Power BI to analyze warehoused data. Other applications can be built upon the serving layer as well. For example, we can expose APIs based on the service layer data for third party uses.
Box 2: Cosmos DB Change Feed
Change feed support in Azure Cosmos DB works by listening to an Azure Cosmos DB container for any changes. It then outputs the sorted list of documents that were changed in the order in which they were modified.
The change feed in Azure Cosmos DB enables you to build efficient and scalable solutions for each of these patterns, as shown in the following image:

References:
https://docs.microsoft.com/bs-cyrl-ba/azure/architecture/example-scenario/data/realtime-analytics-vehicle-iot?vie