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NEW QUESTION: 1
Part A is made from two Y's and one X.
An order is received for 50 A's and there are 30 A's in stock. What is the net requirement for X?
A. 0
B. 1
C. 2
D. 3
Answer: C

NEW QUESTION: 2
A map document references a local data source.
What must an ArcGIS user do before sending the map document to another workstation? (Choose two)
A. update metadata for the map document
B. provide associated data contained within the map document
C. set the .mxd file to store full paths
D. set the .mxd file to store relative paths
Answer: B,D
Explanation:
Reference:https://www.e-education.psu.edu/cloudGIS/node/247(last two paragraphs on the page)

NEW QUESTION: 3
Azure Data Lake Storage Gen2アカウントへのアクセスを提供するのはお客様の責任です。
ユーザーアカウントにはストレージアカウントへの寄稿者アクセス権があり、アプリケーションIDアクセスキーがあります。
PolyBaseを使用してAzure SQLデータウェアハウスにデータをロードする予定です。
データウェアハウスをストレージアカウントに接続するようにPolyBaseを構成する必要があります。
どの3つのコンポーネントを順番に作成する必要がありますか？回答するには、適切なコンポーネントをコンポーネントのリストから回答エリアに移動し、正しい順序で配置します。

Answer:
Explanation:

Explanation

Step 1: a database scoped credential
To access your Data Lake Storage account, you will need to create a Database Master Key to encrypt your credential secret used in the next step. You then create a database scoped credential.
Step 2: an external data source
Create the external data source. Use the CREATE EXTERNAL DATA SOURCE command to store the location of the data. Provide the credential created in the previous step.
Step 3: an external file format
Configure data format: To import the data from Data Lake Storage, you need to specify the External File Format. This object defines how the files are written in Data Lake Storage.
References:
https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-load-from-azure-data-lake-store

NEW QUESTION: 4
メッセージエンリッチメントを使用して、報告された温度がクリティカルしきい値を超えたときに、IoTゲートウェイデバイスから送信されるメッセージにデバイス情報を追加する必要があります。
エンリッチメッセージの値をどのように設定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：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:

Reference:
https://docs.microsoft.com/bs-cyrl-ba/azure/iot-hub/iot-hub-message-enrichments-overview
Topic 2, ADatum
To start the case study
To display the first question on this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment, and problem statements. If the case study has an All Information tab, note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the Question button to return to the question.
Requirements. Planned Changes
ADatum is developing an Azure IoT solution to monitor environmental conditions. The IoT solution consists of hardware devices and cloud services. All the devices will communicate directly to Azure IoT Hub.
The hardware devices will be deployed to the branch offices and will collect data about various environmental conditions such as temperature, humidity, air quality, and noise level. The devices will be wired by using Power over Ethernet (PoE) connections.
ADatum is developing the solution in the following three phases: proof of value (POV), pilot, and production.
Requirements. POV Requirements
The POV phase will demonstrate that a technical solution is viable. During this phase, 100 devices will be deployed to the main office and Azure Stream Analytics will be connected to an IoT hub to generate real-time alerts. Stream Analytics will perform the following processing:
Calculate the median rate of the telemetry across the entire devices that exceed the median rate by a factor of 4.
Compare the current telemetry to the specified thresholds and issue alerts when telemetry values are out of range.
Ensure that all message content during this phase is human readable to simplify debugging.
Requirements. Pilot Requirements
During the pilot phase, devices will be deployed to 10 offices. Each office will have up to 1,000 devices.
During this phase, you will add Azure Time Series Insights in parallel to Stream Analytics to support real-time graphs and queries in a dashboard web app.
The pilot deployment must minimize operating costs.
Requirements. Production Requirements
The production phase will include all the offices.
The production deployment will have one IoT hub in each Azure region. Devices must connect to the IoT hub in their region.
The production phase must meet the following requirements:
Ensure that the IoT solution can support performance and scale targets.
Ensure that the IoT solution support up to 1,000 devices per office.
Minimize operating costs of the IoT solution.
Requirements. Technical Requirements
Datum identifies the following requirements for the planned IoT solution:
The solution must generate real-time alerts when a fire condition is detected in an office. All the devices in that office must trigger an audible alarm siren within 10 seconds of the alert.
A dashboard UI must display alerts and the system status in real time and must allow device operators to make adjustments to the system.
Each device will send hourly updates to IoT Hub. Condition alerts will be sent immediately.
Multiple types of devices will collect telemetry that has different schemas.
IoT Hub must perform message routing based on the message body.
Direct methods must be used for cloud-to-device communication.
Reports must be provided monthly, quarterly, and annually.
Stored data queries must be as efficient as possible.
The device message size will be under 4 KB.
Development effort must be minimized.
Requirements. Throttle and Quotas
The relevant throttles and quotas for various IoT Hub tiers are shown in the following table.

Requirements. IoT Hub Routing
You plan to implement IoT Hub routing during the POV phase as shown in the following exhibit.