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NEW QUESTION: 1
Where do you set MIDI input filtering?
A. Control-click a MIDI track.
B. Click the Settings button in the toolbar, click MIDI, and choose the Input Filter tab.
C. In the Arrange area, choose MIDI > Delete MIDI Events.
D. Click the MIDI In button in one of the MIDI editors.
Answer: B
NEW QUESTION: 2
The Vault needs to send SNMP traps to your SNMP solution, which file is used to configure the IP address of the SNMP server?
A. ENEConf.ini
B. dbparm.ini
C. snmp.ini
D. PARAgent.ini
Answer: B
NEW QUESTION: 3
How do you manage data access security in a mixed scenario?
A. You can create SAP HANA privileges out of SAP BW/4HANA authorization objects.
B. You must maintain authorizations in the analytic clients.
C. You must use SAP HANA data anonymization features like differential privacy to obscure the data.
D. You must maintain SAP HANA privileges manually.
Answer: A
NEW QUESTION: 4
Microsoft VisualStudioのStreamAnalyticsプロジェクトソリューションであるAzureStreamAnalyticsジョブがあります。このジョブは、IoTデバイスによって生成されたデータをJSON形式で受け入れます。
IoTデバイスによって生成されたデータをProtobuf形式で受け入れるようにジョブを変更する必要があります。
Visual Studioから順番に実行する必要がある3つのアクションはどれですか？回答するには、適切なアクションをアクションのリストから回答領域に移動し、正しい順序で配置します。
Answer:
Explanation:
Explanation
Step 1: Add an Azure Stream Analytics Custom Deserializer Project (.NET) project to the solution.
Create a custom deserializer
1. Open Visual Studio and select File > New > Project. Search for Stream Analytics and select Azure Stream Analytics Custom Deserializer Project (.NET). Give the project a name, like Protobuf Deserializer.
2. In Solution Explorer, right-click your Protobuf Deserializer project and select Manage NuGet Packages from the menu. Then install the Microsoft.Azure.StreamAnalytics and Google.Protobuf NuGet packages.
3. Add the MessageBodyProto class and the MessageBodyDeserializer class to your project.
4. Build the Protobuf Deserializer project.
Step 2: Add .NET deserializer code for Protobuf to the custom deserializer project Azure Stream Analytics has built-in support for three data formats: JSON, CSV, and Avro. With custom .NET deserializers, you can read data from other formats such as Protocol Buffer, Bond and other user defined formats for both cloud and edge jobs.
Step 3: Add an Azure Stream Analytics Application project to the solution Add an Azure Stream Analytics project
1. In Solution Explorer, right-click the Protobuf Deserializer solution and select Add > New Project. Under Azure Stream Analytics > Stream Analytics, choose Azure Stream Analytics Application. Name it ProtobufCloudDeserializer and select OK.
2. Right-click References under the ProtobufCloudDeserializer Azure Stream Analytics project. Under Projects, add Protobuf Deserializer. It should be automatically populated for you.
Reference:
https://docs.microsoft.com/en-us/azure/stream-analytics/custom-deserializer
