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NEW QUESTION: 1
You have a computer named Computer1 that runs Windows 7.
You have a server named Server1 that runs Windows Server 2008. Server1 has a file share named
Share1. The network configuration for Computer1 is shown in the exhibit. (Click the Exhibit button.)
You attempt to connect to \\Server1\Share1 and receive the following error message:
"Windows cannot access \\Server1\Share1."
From Computer1, you successfully ping Server1.
You need to connect to \\Server1\Share1.
What should you enable on Computer1?
Exhibit:
A. Client for Microsoft Networks
B. Link-Layer Topology Discovery Responder
C. Link-Layer Topology Discovery Mapper I/O Driver
D. File and Printer Sharing for Microsoft Networks
Answer: A
Explanation:
Client for Microsoft Networks
Allows the computer to access resources on a Microsoft network.
File and Printer Sharing for Microsoft Networks
Enables other computers to access resources on your computer in a Microsoft network (and other networks).
Link-layer Topology Discovery Mapper I/O Driver
Discovers and locates other computers, devices, and network infrastructure features on the network, and determines network bandwidth.
Link-layer Topology Discovery Responder
Allows a computer to be discovered and located on the network.
NEW QUESTION: 2
注：この質問は、同じシナリオを提示する一連の質問の一部です。シリーズの各質問には、記載された目標を達成する可能性のある独自のソリューションが含まれています。一部の質問セットには複数の正しい解決策がある場合もあれば、正しい解決策がない場合もあります。
質問に答えた後、その質問に戻ることはできません。その結果、これらの質問はレビュー画面に表示されません。
ストリーミングデータを生成するAzure IoT Edgeデバイスがあります。
デバイスでは、Azure Machine Learningモデルを使用してデータの異常を検出する必要があります。異常が検出されたら、デバイスは異常に関する情報をAzure IoT Hubストリームに追加する必要があります。
ソリューション：Azure Stream AnalyticsをIoT Edgeモジュールとしてデプロイします。
これは目標を達成していますか？
A. いいえ
B. はい
Answer: B
Explanation:
Explanation
Available in both the cloud and Azure IoT Edge, Azure Stream Analytics offers built-in machine learning based anomaly detection capabilities that can be used to monitor the two most commonly occurring anomalies:
temporary and persistent.
Stream Analytics supports user-defined functions, via REST API, that call out to Azure Machine Learning endpoints.
References:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-machine-learning-anomaly-detection
NEW QUESTION: 3
다음 중 세부 로그 정보를 수집 할 때 기본 문제는 무엇입니까?
A. 데이터를 시기 적절하게 검토하는 것이 잠재적으로 어렵습니다.
B. 로그는 시스템 및 개별 활동에 대한 충분한 세부 정보를 제공하지 않습니다.
C. 대부분의 시스템과 응용 프로그램은 로깅을 지원하지 않습니다.
D. 필요할 때 로그를 사용할 수 없습니다.
Answer: A
NEW QUESTION: 4
You deploy your custom Java application to Google App Engine. It fails to deploy and gives you the following stack trace.
What should you do?
A. Digitally sign all of your JAR files and redeploy your application
B. Recompile the CLoakedServlet class using and MD5 hash instead of SHA1
C. Upload missing JAR files and redeploy your application.
Answer: A