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70-475 - Design and Implement Big Data Analytics Solutions - Dump Information

Vendor	:	Microsoft
Exam Code	:	70-475
Exam Name	:	Design and Implement Big Data Analytics Solutions
Questions and Answers	:	42 Q & A
Updated On	:	October 12, 2017
PDF Download Mirror	:	70-475 Brain Dump
Get Full Version	:	Pass4sure 70-475 Full Version

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70-475 Questions and Answers

Microsoft 70-475 Design and Implement Big Data Analytics Solutions Download Full version : http://killexams.com/pass4sure/exam-detail/70-475 QUESTION: 37 HOTSPOT The health tracking application uses the features of a live dashboard to provide historical and trending data based on the users activities. You need to recommend which processing model must be used to process the following types of data: The top three activities per user on rainy days The top three activities per user during the last 24 hours The top activities per geographic region during last 24 hours The most common sequences of three activities in a row for all of the users Which processing model should you recommend for each data type? To answer, select the appropriate options in the answer area, NOTE: Each correct selection is worth one point. Answer: QUESTION: 38 Users report that when they access data that is more than one year old from a dashboard, the response time is slow. You need to resolve the issue that causes the slow response when visualizing older data. What should you do? A. Process the event hub data first, and then process the older data on demand. B. Process the older data on demand first, and then process the event hub data. C. Aggregate the older data by time, and then save the aggregated data to reference data streams. D. Store all of the data from the event hub in a single partition. Answer: A QUESTION: 39 You need to recommend a data handling solution to support the planned changes to the dashboard. The solution must meet the privacy requirements. What is the best recommendation to achieve the goal? More than one answer choice may achieve the goal. Select the BEST answer. A. anonymization B. encryption C. obfuscation D. compression Answer: A QUESTION: 40 You need to recommend a data transfer solution to support the business goals. What should you recommend? A. Configure the health tracking application to cache data locally for 24 hours. B. Configure the health tracking application to Aggregate activities in blocks KB. C. Configure the health tracking application to cache data locally tor 12 hours. D. Configure the health tracking application to aggregate activities in blocks KB. Answer: C QUESTION: 41 You extend the dashboard of the health tracking application to summarize fields across several users. You need to recommend a file format for the activity data in Azure that meets the technical requirements. What is the best recommendation to achieve the goal? More than one answer choice may achieve the goal. Select the BEST answer. A. ORC B. TSV C. CSV D. JSON E. XML Answer: A QUESTION: 42 You need to recommend a permanent Azure Storage solution for the activity data. The solution must meet the technical requirements. What is the best recommendation to achieve the goal? More than one answer choice may achieve the goal. Select the BEST answer. A. Azure SQL Database B. Azure Queue storage C. Azure Blob storage D. Azure Event Hubs Answer: D 'PS .PSF FYBNT WJTJU IUUQ LJMMFYBNT DPN .LOO \RXU H[DP DW )LUVW $WWHPSW *XDUDQWHHG

Microsoft 70-475 Exam (Design and Implement Big Data Analytics Solutions) Detailed Information

70-475 - Design and Implement Big Data Analytics Solutions

70-475 Test Objectives

Design big data batch processing and interactive solutions (30–35%)

Ingest data for batch and interactive processing
- Ingest from cloud-born or on-premises data, store data in Microsoft Azure Data Lake, store data in Azure BLOB Storage, perform a one-time bulk data transfer, perform routine small writes on a continuous basis
Design and provision compute clusters
- Select compute cluster type, estimate cluster size based on workload
Design for data security
- Protect personally identifiable information (PII) data in Azure, encrypt and mask data, implement role-based security, implement row-based security
Design for batch processing
- Select appropriate language and tool, identify formats, define metadata, configure output

Design big data real-time processing solutions (30–35%)

Ingest data for real-time processing
- Select data ingestion technology, design partitioning scheme, design row key of event tables in HBase
Design and provision compute resources
- Select streaming technology in Azure, select real-time event processing technology, select real-time event storage technology, select streaming units, configure cluster size, select the right technology for business requirements, assign appropriate resources for HBase clusters
Design for Lambda architecture
- Identify application of Lambda architecture, utilize streaming data to draw business insights in real time, utilize streaming data to show trends in data in real time, utilize streaming data and convert into batch data to get historical view, design such that batch data doesn’t introduce latency, utilize batch data for deeper data analysis
Design for real-time processing
- Design for latency and throughput, design reference data streams, design business logic, design visualization output

Operationalize end-to-end cloud analytics solutions (30–35%)

Create a data factory
- Identify data sources, identify and provision data processing infrastructure, utilize Visual Studio to design and deploy pipelines, deploy Data Factory Jobs
Orchestrate data processing activities in a data-driven workflow
- Leverage data-slicing concepts, identify data dependencies and chaining multiple activities, model complex schedules based on data dependencies, provision and run data pipelines
Monitor and manage the data factory
- Identify failures and root causes, create alerts for specified conditions, perform a restatement, start and stop data factory pipelines
Move, transform, and analyze data
- Leverage Pig, Hive, MapReduce for data processing; copy data between on-premises and cloud; copy data between cloud data sources; leverage stored procedures; leverage Machine Learning batch execution for scoring, retraining, and update resource; extend the data factory with custom processing steps; load data into a relational store, visualize using Power BI
Design a deployment strategy for an end-to-end solution
- Leverage PowerShell for deployment, automate deployment programmatically, design deployment strategies for automation

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