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NEW QUESTION: 1
あなたの会社は、次のエンドポイントにアプリケーションをデプロイすることを計画しています。
* Azureでホストされている10台の仮想マシン
*オンプレミスのデータセンター環境でホストされている10台の仮想マシンすべての仮想マシンにAzure Pipelinesエージェントがあります。
アプリケーションをエンドポイントにデプロイするためのリリース戦略を実装する必要があります。
アプリケーションをエンドポイントにデプロイするために何を使用することをお勧めしますか？回答するには、適切なコンポーネントを正しいエンドポイントにドラッグします。各コンポーネントは、1回、複数回、またはまったく使用しない場合があります。ペイン間で分割バーをドラッグするか、コンテンツを表示するには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は1ポイントの価値があります。

Answer:
Explanation:

Explanation

Box 1: A deployment group
When authoring an Azure Pipelines or TFS Release pipeline, you can specify the deployment targets for a job using a deployment group.
If the target machines are Azure VMs, you can quickly and easily prepare them by installing the Azure Pipelines Agent Azure VM extension on each of the VMs, or by using the Azure Resource Group Deployment task in your release pipeline to create a deployment group dynamically.
Box 2: A deployment group
References: https://docs.microsoft.com/en-us/azure/devops/pipelines/release/deployment-groups

NEW QUESTION: 2
Inventory levels must be calculated by subtracting the current day's sales from the previous day's final inventory.
Which two options provide Litware with the ability to quickly calculate the current inventory levels by store and product? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
A. Output Event Hubs Avro files to Azure Blob storage. Trigger an Azure Data Factory copy activity to run every 10 minutes to load the data into Azure SQL Data Warehouse. Use Transact-SQL to aggregate the data by store and product.
B. Output Event Hubs Avro files to Azure Blob storage. Use Transact-SQL to calculate the inventory levels by using PolyBase in Azure SQL Data Warehouse.
C. Consume the output of the event hub by using Azure Stream Analytics and aggregate the data by store and product. Output the resulting data into Databricks. Calculate the inventory levels in Databricks and output the data to Azure Blob storage.
D. Consume the output of the event hub by using Azure Stream Analytics and aggregate the data by store and product. Output the resulting data directly to Azure SQL Data Warehouse. Use Transact-SQL to calculate the inventory levels.
E. Consume the output of the event hub by using Databricks. Use Databricks to calculate the inventory levels and output the data to Azure SQL Data Warehouse.
Answer: A,D
Explanation:
A: Azure Stream Analytics is a fully managed service providing low-latency, highly available, scalable complex event processing over streaming data in the cloud. You can use your Azure SQL Data Warehouse database as an output sink for your Stream Analytics jobs.
E: Event Hubs Capture is the easiest way to get data into Azure. Using Azure Data Lake, Azure Data Factory, and Azure HDInsight, you can perform batch processing and other analytics using familiar tools and platforms of your choosing, at any scale you need.
Note: Event Hubs Capture creates files in Avro format.
Captured data is written in Apache Avro format: a compact, fast, binary format that provides rich data structures with inline schema. This format is widely used in the Hadoop ecosystem, Stream Analytics, and Azure Data Factory.
Scenario: The application development team will create an Azure event hub to receive real-time sales data, including store number, date, time, product ID, customer loyalty number, price, and discount amount, from the point of sale (POS) system and output the data to data storage in Azure.
Reference:
https://docs.microsoft.com/bs-latn-ba/azure/sql-data-warehouse/sql-data-warehouse-integrate-azure-stream-analytics
https://docs.microsoft.com/en-us/azure/event-hubs/event-hubs-capture-overview

NEW QUESTION: 3
An administrator wants to repurpose server hardware to host hypervisors. The administrator must FIRST:
A. install the OS and then enable the hypervisor function.
B. check the server's configuration against the hypervisor vendor's HCL.
C. install the hypervisor on the bare metal servers.
D. check the server's configuration against the hardware vendor's HCL.
Answer: B

NEW QUESTION: 4
Refer to the exhibit.
Based on this Cisco Spectrum Expert "FFT Duty Cycle" screen capture, which device type is most likely generating the signal in Wi-Fi channel 1?












A. a high-power, broad-spectrum, frequency-hopping device
B. a spread-spectrum, narrowband, frequency-hopping device
C. a high-power, narrow-spectrum, direct-sequence device using CCK modulation
D. a broad-spectrum, low-power device
Answer: A

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