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NEW QUESTION: 1
High Profile (HP) and Scalable Video Coding (SVC) are both part of the H.264 standard. Unlike many competitors, the XT4200 and XT5000 support both SVC and High profile. Select the correct statements about the functionality of SVC and High Profile. (Choose one statement for SVC and one for HP)
A. HP improves resilience against network packet loss.
B. SVC provides bandwidth savings for a high resolution video call.
C. HP provides bandwidth savings for a high resolution video call.
D. HP improves resilience against network delay.
E. SVC improves resilience against network packet loss.
F. SVC improves resilience against network jitter.
G. SVC improves resilience against network delay, and HP improves resilience against network jitter.
Answer: C,E
NEW QUESTION: 2
What should you implement to meet the disaster recovery requirements for the PaaS solution?
A. Always On availability groups
B. Availability Zones
C. failover groups
D. geo-replication
Answer: C
Explanation:
Scenario: In the event of an Azure regional outage, ensure that the customers can access the PaaS solution with minimal downtime. The solution must provide automatic failover.
The auto-failover groups feature allows you to manage the replication and failover of a group of databases on a server or all databases in a managed instance to another region. It is a declarative abstraction on top of the existing active geo-replication feature, designed to simplify deployment and management of geo-replicated databases at scale. You can initiate failover manually or you can delegate it to the Azure service based on a user-defined policy.
The latter option allows you to automatically recover multiple related databases in a secondary region after a catastrophic failure or other unplanned event that results in full or partial loss of the SQL Database or SQL Managed Instance availability in the primary region.
Reference:
https://docs.microsoft.com/en-us/azure/azure-sql/database/auto-failover-group-overview
NEW QUESTION: 3
デバイスが指定された場所から200メートル以上移動したときにユーザーに警告するリアルタイム監視アプリを作成する予定です。
計画したアプリのデータを処理するには、Azure Stream Analyticsジョブを設計する必要があります。 このソリューションでは、開発するコードの量と使用するテクノロジーの数を最小限に抑える必要があります。
Stream Analyticsジョブには何を含め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
Input type: Stream
You can process real-time IoT data streams with Azure Stream Analytics.
Input source: Azure IoT Hub
In a real-world scenario, you could have hundreds of these sensors generating events as a stream. Ideally, a gateway device would run code to push these events to Azure Event Hubs or Azure IoT Hubs.
Function: Geospatial
With built-in geospatial functions, you can use Azure Stream Analytics to build applications for scenarios such as fleet management, ride sharing, connected cars, and asset tracking.
Reference:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-get-started-with-azure-stream-analytics
https://docs.microsoft.com/en-us/azure/stream-analytics/geospatial-scenarios