Question Set 1

Your company has a data team of Scala and R experts.

You plan to ingest data from multiple Apache Kafka streams.

You need to recommend a processing technology to broker messages at scale from Kafka streams to Azure Storage.

What should you recommend?

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You are designing an AI application that will use an azure Machine Learning Studio experiment.

The source data contains more than 200 TB of relational tables. The experiment will run once a month.

You need to identify a data storage solution for the application. The solution must minimize compute costs.

Which data storage solution should you identify?

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HOTSPOT

You are designing a solution that will analyze bank transactions in real time. The transactions will be evaluated by using an algorithm and classified into one of five groups. The transaction data will be enriched with information taken from Azure SQL Database before the transactions are sent to the classification process. The enrichment process will require custom code. Data from different banks will require different stored procedures.

You need to develop a pipeline for the solution.

Which components should you use for data ingestion and data preparation? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

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Correct Answer:

Explanation:

References: https://docs.microsoft.com/bs-latn-ba/azure/architecture/example-scenario/data/fraud-detection

DRAG DROP

You are designing an Azure Batch AI solution that will be used to train many different Azure Machine Learning models.

The solution will perform the following:

– Image recognition

– Deep learning that uses convolutional neural networks.

You need to select a compute infrastructure for each model. The solution must minimize the processing time.

What should you use for each model? To answer, drag the appropriate compute infrastructures to the correct models. Each compute infrastructure may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content. NOTE: Each correct selection is worth one point.

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Correct Answer:

Explanation:

References: https://docs.microsoft.com/en-us/azure/virtual-machines/windows/sizes-gpu