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NEW QUESTION: 1
A. Option B
B. Option C
C. Option A
D. Option D
Answer: A
NEW QUESTION: 2
DRAG DROP
Answer:
Explanation:
Explanation:
* Use Table storage for Contractor information
* Use Blob for Project Images
* Scenario: VanArsdel needs a solution to reduce the number of operations on the contractor information table. Currently, data transfer rates are excessive, and queue length for read/write operations affects performance.
/ A mobile service that is used to access contractor information must have automatically scalable, structured storage
/ Images must be stored in an automatically scalable, unstructured form.
Note: Blob is an acronym for Binary Large object. Basically Blob is a sequence of bytes - just what an application needs. Blob can hold audio, video, email messages, archived files, zip files or a word processing document in a very general way.
References: http://www.thewindowsclub.com/understanding-blobqueuetable-storage- windows-azure
NEW QUESTION: 3
John works as a Network Administrator for Perfect Solutions Inc. The company has a Linux-based network. John is working as a root user on the Linux operating system. He wants to run the cc process at runlevel three. If the order of execution of cc command is 43, which of the following commands will John use to accomplish his task?
A. ln -s /etc/rc.d/init.d/cc /etc/rc.d/rc3.d/K43cc
B. ln -s /etc/rc.d/init.d/cc /etc/rc.d/rc3.d/S43cc
C. ln -s /etc/init.d/cc /etc/rc.d/rc3.d/K43cc
D. ln -s /etc/rc.d/cc /etc/rc.d/rc3.d/s43cc
Answer: B
NEW QUESTION: 4
コンピュータービジョンアプリケーションを開発しています。
オンプレミスデータベースからAzure Blobストレージにデータを読み込むワークフローを使用して、Azure Machine Learningサービスに接続する予定です。
ワークフローの調整に何を使用する必要がありますか？
A. Azure Container Instances
B. Azureパイプライン
C. Azure Data Factory
D. Azure Kubernetes Service（AKS）
Answer: C
Explanation:
Explanation
With Azure Data Factory you can use workflows to orchestrate data integration and data transformation processes at scale.
Build data integration, and easily transform and integrate big data processing and machine learning with the visual interface.
References:
https://azure.microsoft.com/en-us/services/data-factory/