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Will you feel nervous in the exam?

NEW QUESTION: 1
You develop an loT solution by using Node.js. The solution is ready to deploy to the production environment.
You must implement the device twin capabilities of Azure IoT Hub. You must register a sensor named Sensor
00. The IoT Hub name is Hub01.
You need to register the endpoint with ContosoHub01l so that you can configure them from your solution.
Which four commands should you use to develop the solution? To answer, move the appropriate commands from the list of commands to the answer area and arrange the correct order.

Answer:
Explanation:

NEW QUESTION: 2
次の表に示すリソースを含むAzureサブスクリプションがあります。

RG2では、VNET1に接続するVM2という名前の新しい仮想マシンを作成する必要があります。 VM2はVM2_Interfaceという名前のネットワークインターフェイスを使用します。
VM2とVM2_Interfaceをどのリージョンに作成する必要がありますか？答えるには、適切な領域を正しいターゲットにドラッグします。各リージョンは、1回、複数回、またはまったく使用しない場合があります。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は1ポイントの価値があります。

Answer:
Explanation:

Explanation

VM2: West US
In RG2, which is in West US, you need to create a new virtual machine named VM2.
VM2_interface: East US
VM2 will use a network interface named VM2_Interface to connect to VNET1, which is in East US.
References:
https://docs.microsoft.com/en-us/azure/virtual-network/associate-public-ip-address-vm

NEW QUESTION: 3
You've written a MapReduce job that will process 500 million input records and generated 500 million key-value pairs. The data is not uniformly distributed. Your MapReduce job will create a significant amount of intermediate data that it needs to transfer between mappers and reduces which is a potential bottleneck. A custom implementation of which interface is most likely to reduce the amount of intermediate data transferred across the network?
A. OutputFormat
B. Writable
C. Combiner
D. InputFormat
E. Partitioner
F. WritableComparable
Answer: C
Explanation:
Combiners are used to increase the efficiency of a MapReduce program. They are used to aggregate intermediate map output locally on individual mapper outputs. Combiners can help you reduce the amount of data that needs to be transferred across to the reducers. You can use your reducer code as a combiner if the operation performed is commutative and associative.
Reference: 24 Interview Questions & Answers for Hadoop MapReduce developers, What are combiners? When should I use a combiner in my MapReduce Job?