70-475 Exam - Designing and Implementing Big Data Analytics Solutions

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Q1. Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.

After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.

Your company has multiple databases that contain millions of sales transactions. You plan to implement a data mining solution to identity purchasing fraud.

You need to design a solution that mines 10 terabytes (TB) of sales data. The solution must meet the following requirements:

• Run the analysis to identify fraud once per week.

• Continue to receive new sales transactions while the analysis runs.

• Be able to stop computing services when the analysis is NOT running.

Solution: You create a Cloudera Hadoop cluster on Microsoft Azure virtual machines. Does this meet the goal?

A. Yes

B. No

Answer: A

Q2. HOTSPOT 

You have a Microsoft Azure Stream Analytics solution.

You need to identify which types of windows must be used to group lite following types of events:

✑ Events that have random time intervals and are captured in a single fixed-size window

✑ Events that have random time intervals and are captured in overlapping windows

Which window type should you identify for each event type? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

Answer:

Q3. DRAG DROP

You plan to deploy a Microsoft Azure Data Factory pipeline to run an end-to-end data processing workflow.

You need to recommend winch Azure Data Factory features must be used to meet the Following requirements:

Track the run status of the historical activity.

Enable alerts and notifications on events and metrics.

Monitor (he creation, updating, and deletion of Azure resources.

Which features should you recommend? To answer, drag the appropriate features to the correct requirements. Each feature 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.

Answer:

Q4. HOTSPOT

You have four on-premises Microsoft SQL Server data sources as described in the following table.

You plan to create three Azure data factories that will interact with the data sources as described in the following table.

You need to deploy Microsoft Data Management Gateway to support the Azure Data Factory deployment. The solution must use new servers to host the instances of Data Management Gateway.

What is the minimum number of new servers and data management gateways you should you deploy? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

Answer:

Q5. You have a Microsoft Azure Data Factory pipeline.

You discover that the pipeline fails to execute because data is missing. You need to rerun the failure in the pipeline.

Which cmdlet should you use?

A. Set-AzureAutomationJob

B. Resume-AzureDataFactoryPipeline

C. Resume-AzureAutomationJob

D. Set-AzureDataFactotySliceStatus

Answer: B

Q6. DRAG DROP 

Your company has a Microsoft Azure environment that contains an Azure HDInsight Hadoop cluster and an Azure SQL data warehouse. The Hadoop cluster contains text files that are formatted by using UTF-8 character encoding.

You need to implement a solution to ingest the data to the SQL data warehouse from the

Hadoop cluster. The solution must provide optimal read performance for the data after ingestion.

Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Answer:

Q7. Which technology should you recommend to meet the technical requirement for analyzing

A. Azure Stream Analytics

B. Azure Data Lake Analytics

C. Azure Machine Learning

D. Azure HDInsight Storm clusters

Answer: A

Q8. DRAG DROP

You have data generated by sensors. The data is sent to Microsoft Azure Event Hubs.

You need to have an aggregated view of the data in near real-time by using five minute tumbling windows to identity short-term trends. You must also have hourly and a daily aggregated views of the data.

Which technology should you use for each task? To answer, drag the appropriate technologies to the correct tasks. Each technology 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.

Answer:

Q9. You are designing a solution that will use Apache HBase on Microsoft Azure HDInsight.

You need to design the row keys for the database to ensure that client traffic is directed over all of the nodes in the cluster.

What are two possible techniques that you can use? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

A. padding

B. trimming

C. hashing

D. salting

Answer: C

Q10. DRAG DROP

You plan to deploy a Microsoft Azure Data Factory pipeline to run an end-to-end data processing workflow.

You need to recommend winch Azure Data Factory features must be used to meet the Following requirements:

Track the run status of the historical activity.

Enable alerts and notifications on events and metrics.

Monitor (he creation, updating, and deletion of Azure resources.

Which features should you recommend? To answer, drag the appropriate features to the correct requirements. Each feature 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.

Answer: