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Question No : 32
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 Microsoft Azure HDlnsight cluster.
Does this meet the goal?
A. Yes
B. No
Answer: B
Question No : 33
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 Microsoft Azure Data Lake job.
Does this meet the goal?
A. Yes
B. No
Answer: A
Question No : 34
You have a Microsoft Azure subscription that contains an Azure Data Factory pipeline.
You have an RSS feed that is published on a public website.
You need to configure the RSS feed as a data source for the pipeline.
Which type of linked service should you use?
A. web
B. OData
C. Azure Search
D. Azure Data Lake Store
Answer: A
Question No : 35
You have an Apache Storm cluster.
The cluster will ingest data from a Microsoft Azure event hub.
The event hub has the characteristics described in the following table.
You are designing the Storm application topology.
You need to ingest data from all of the partitions. The solution must maximize the throughput of the data ingestion.
Which setting should you use?
A. Partition Count
B. Message Retention
C. Partition Key
D. Shared access policies
Answer: A
Question No : 36
You are designing an Internet of Things (IoT) solution intended to identify trends. The solution requires the real-time analysis of data originating from sensors. The results of the analysis will be stored in a SQL database.
You need to recommend a data processing solution that uses the Transact-SQL language.
Which data processing solution should you recommend?
A. Microsoft Azure Stream Analytics
B. Microsoft Azure HDInsight Spark clusters
C. Microsoft Azure Event Hubs
D. Microsoft Azure HDInsight Hadoop clusters
Answer: C
Topic 3, Litware, Inc
Overview
General Overview
Litware, Inc. is a company that manufactures personal devices to track physical activity and other health-related data.
Litware has a health tracking application that sends health-related data horn a user’s personal device to Microsoft Azure.
Physical Locations
Litware has three development and commercial offices. The offices are located in the Untied States, Luxembourg, and India.
Litware products are sold worldwide. Litware has commercial representatives in more than 80 countries.
Existing Environment
Environment
In addition to using desktop computers in all of the offices. Litware recently started using Microsoft Azure resources and services for both development and operations.
Litware has an Azure Machine Learning Solution.
Litware Health Tracking Application
Litware recently extended its platform to provide third-party companies with the ability to upload data from devices to Azure. The data can be aggregated across multiple devices to provide users with a comprehensive view of their global health activity.
While the upload from each device is small, potentially more than 100 million devices will upload data daily by using an Azure event hub.
Each health activity has a small amount of data, such as activity type, start date/time, and end date/time. Each activity is limited to a total of 3 KB and includes a customer Identification key.
In addition to the Litware health tracking application, the users’ activities can be reported to Azure by using an open API.
Machine Learning Experiments
The developers at Litware perform Machine Learning experiments to recommend an appropriate health activity based on the past three activities of a user.
The Litware developers train a model to recommend the best activity for a user based on the hour of the day.
Requirements
Planned Changes
Litware plans to extend the existing dashboard features so that health activities can be compared between the users based on age, gender, and geographic region.
Business Goals
Minimize the costs associated with transferring data from the event hub to Azure Storage.
Technical Requirements
Litware identities the following technical requirements:
Data from the devices must be stored from three years in a format that enables the fast processing of data fields and Filtering.
The third-party companies must be able to use the Litware Machine learning models to generate recommendations to their users by using a third-party application.
Any changes to the health tracking application must ensure that the Litware developers can run the experiments without interrupting or degrading the performance of the production environment.
Privacy Requirements
Activity tracking data must be available to all of the Litware developers for experimentation. The developers must be prevented from accessing the private information of the users.
Other Technical Requirements
When the Litware health tracking application asks users how they feel, their responses must be reported to Azure.
Question No : 37
Hotspot Question
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 No : 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
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