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NEW QUESTION: 1
グローバルな小売企業のデータプラットフォームを開発しています。会社は各地域の通常の勤務時間中に営業しています。分析データベースは、販売予測の構築に週に1回使用されます。
各地域は、独自のプライベート仮想ネットワークを維持しています。
販売予測の構築は非常にリソース集約型であり、20テラバイト（TB）以上のデータを生成します。
Microsoft Azure SQLデータベースをプロビジョニングする必要があります。
データベースのプロビジョニングは、パフォーマンスを最大化し、コストを最小化する必要があります
各地域の日次売上は、Azure SQL Databaseインスタンスに保存する必要があります
1日に1回、すべてのリージョンのデータを分析Azure SQL Databaseインスタンスにロードする必要があります
Azure SQLデータベースインスタンスをプロビジョニングする必要があります。
データベースインスタンスをどのようにプロビジョニングする必要がありますか？答えるには、適切なAzure SQL製品を正しいデータベースにドラッグします。各Azure SQL製品は、1回、複数回、またはまったく使用できません。コンテンツを表示するには、ペイン間で分割バーをドラッグするか、スクロールする必要がある場合があります。
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: Azure SQL Database elastic pools
SQL Database elastic pools are a simple, cost-effective solution for managing and scaling multiple databases that have varying and unpredictable usage demands. The databases in an elastic pool are on a single Azure SQL Database server and share a set number of resources at a set price. Elastic pools in Azure SQL Database enable SaaS developers to optimize the price performance for a group of databases within a prescribed budget while delivering performance elasticity for each database.
Box 2: Azure SQL Database Hyperscale
A Hyperscale database is an Azure SQL database in the Hyperscale service tier that is backed by the Hyperscale scale-out storage technology. A Hyperscale database supports up to 100 TB of data and provides high throughput and performance, as well as rapid scaling to adapt to the workload requirements. Scaling is transparent to the application - connectivity, query processing, and so on, work like any other SQL database.

NEW QUESTION: 2
You are developing an Azure function that connects to an Azure SQL Database instance. The function is triggered by an Azure Storage queue.
You receive reports of numerous System.InvalidOperationExceptions with the following message: "Timeout expired. The timeout period elapsed prior to obtaining a connection from the pool. This may have occurred because all pooled connections were in use and max pool size was reached." You need to prevent the exception.
What should you do?
A. In the function.json file, change the value of the type option to queueScaling
B. Convert the Azure Function to the Premium plan
C. Convert the trigger to Azure Event Hub
D. In the host.json file, decrease the value of the option
Answer: B
Explanation:
Explanation
With the Premium plan the max outbound connections per instance is unbounded compared to the 600 active (1200 total) in a Consumption plan.
Note: The number of available connections is limited partly because a function app runs in a sandbox environment. One of the restrictions that the sandbox imposes on your code is a limit on the number of outbound connections, which is currently 600 active (1,200 total) connections per instance. When you reach this limit, the functions runtime writes the following message to the logs: Host thresholds exceeded:
Connections.
Reference:
https://docs.microsoft.com/en-us/azure/azure-functions/manage-connections
https://docs.microsoft.com/en-us/azure/azure-functions/functions-scale#service-limits

NEW QUESTION: 3
What is the main difference between automation rules and segmentation rules?
A. Neither will "unmatch" prospects
B. Automation rules do run retroactively
C. Automation rules run continuously, segmentation rules run once.
D. Segmentation rules do not run retroactively
Answer: C
Explanation:

NEW QUESTION: 4
Which Autonomous Database Service is NOT used to connect to an Autonomous Transaction Processing instance?
A. MEDIUM
B. HIGH
C. TPPERFORMANT
D. TPURGENT
E. LOW
Answer: C
Explanation:
Predefined Database Service Names for Autonomous Transaction Processing The tnsnames.ora file provided with the credentials zip file contains five database service names identifiable as tpurgent, tp, high, medium, and low. The predefined service names provide different levels of performance and concurrency for Autonomous Transaction Processing.
* tpurgent: The highest priority application connection service for time critical transaction processing operations. This connection service supports manual parallelism.
* tp: A typical application connection service for transaction processing operations. This connection service does not run with parallelism.
* high: A high priority application connection service for reporting and batch operations. All operations run in parallel and are subject to queuing.
* medium: A typical application connection service for reporting and batch operations. All operations run in parallel and are subject to queuing. Using this service the degree of parallelism is limited to four (4).
* low: A lowest priority application connection service for reporting or batch processing operations. This connection service does not run with parallelism.
https://docs.oracle.com/en/cloud/paas/atp-cloud/atpug/manage-priorities.html#GUID-80E464A7-8ED4-45BB-A7D6-E201DD4107B7