You need to identify which types of windows must be use…
HOTSPOT
You have a Microsoft Azure Stream Analytics solution.
You need to identify which types of windows must be used to group the 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.
Hot Area:
Which lambda layer should you query for each operation?
DRAG DROP
You have a web app that accepts user input, and then uses a Microsoft Azure Machine Learning model to
predict a characteristic of the user.
You need to perform the following operations:
Track the number of web app users from month to month.
Track the number of successful predictions made during the last minute.
Create a dashboard showcasing the analytics for the predictions and the web app usage.
Which lambda layer should you query for each operation? To answer, drag the appropriate layers to the correct
operations. Each layer 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.
Select and Place:
you need to create a data definition and a query captur…
HOTSPOT
Your company has 2,000 servers.
You plan to aggregate all of the log files from the servers in a central repository that uses Microsoft Azure
HDInsight. Each log file contains approximately one million records. All of the files use the .log file name
extension.
The following is a sample of the entries in the log files.
2017-02-03 20:26:41 SampleClass3 [ERROR] verbose detail for id 1527353937
In Apache Hive, you need to create a data definition and a query capturing the number of records that have anerror level of [ERROR].
What should you do? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Hot Area:
Hot Area:
HOTSPOT
You are designing a solution based on the lambda architecture.
The solution has the following layers:
Batch
Speed
Serving
You are planning the data ingestion process and the query execution.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Hot Area:
Does this meet the goal?
Note: The 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 identify purchasing fraud.
You need to design a solution that mines 10 terabytes (TB) of sales date. 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 HDInsight cluster.
Does this meet the goal?
Does this meet the goal?
Note: The 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 identify purchasing fraud.
You need to design a solution that mines 10 terabytes (TB) of sales date. 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?
Which code should you execute?
DRAG DROP
Overview:
Relecloud is a social media company that processes hundreds of millions of social media posts per day and
sells advertisements to several hundred companies.
Relecloud has a Microsoft SQL Server database named DB1 that stores information about the advertisers. DB1
is hosted on a Microsoft Azure virtual machine.
Relecloud has two main offices. The offices are located in San Francisco and New York City.
The offices connect to each other by using a site-to-site VPN. Each office connects directly to the Internet.
Relecloud modifies the pricing of its advertisements based on trending topics. Topics are considered to be
trending if they generate many mentions in a specific country during a 15-minute time frame. The highest
trending topics generate the highest advertising revenue.
Relecloud wants to deliver reports to the advertisers by using Microsoft Power BI. The reports will provide realtime data on trending topics, current advertising rates, and advertising costs for a given month.
Relecloud will analyze the trending topics data, and then store the data in a new data warehouse for ad-hoc
analysis. The data warehouse is expected to grow at a rate of 1 GB per hour or 8.7 terabytes (TB) per year.
The data will be retained for five years for the purpose of long-term trending.
Requirements:
Management at Relecloud must be able to view which topics are trending to adjust advertising rates in near
real-time.
Relecloud plans to implement a new streaming analytics platform that will report on trending topics.
Relecloud plans to implement a data warehouse named DB2.Relecloud identifies the following technical requirements:
Social media data must be analyzed to identify trending topics in real-time.
The use of Infrastructure as a Service (IaaS) platforms must minimized, whenever possible.
The real-time solution used to analyze the social media data must support scaling up and down without
service interruption.
Relecloud identifies the following technical requirements for the advertisers:
The advertisers must be able to see only their own data in the Power BI reports.
The advertisers must authenticate to Power BI by using Azure Active Directory (Azure AD) credentials.
The advertisers must be able to leverage existing Transact-SQL language knowledge when developing the
real-time streaming solution.
Members of the internal advertising sales team at Relecloud must be able to see only the sales date of the
advertisers to which they are assigned.
The internal Relecloud advertising sales team must be prevented from inserting, updating, and deleting
rows for the advertisers to which they are not assigned.
The internal Relecloud advertising sales team must be able to use a text file to update the list of advertisers,
and then to upload the file to Azure Blob storage.
Relecloud identifies the following requirements for DB1:
Data generated by the streaming analytics platform must be stored in DB1.
The user names of the advertisers must be mapped to CustomerID in a table named Table2.
The advertisers in DB1 must be stored in a table named Table1 and must be refreshed nightly.
The user names of the employees at Relecloud must be mapped to EmployeeID in a table named Table3.
Relecloud identifies the following requirements for DB2:
DB2 must have minimal storage costs.
DB2 must run load processes in parallel.
DB2 must support massive parallel processing.
DB2 must be able to store more than 40 TB of data.
DB2 must support scaling up and down, as required.
Data from DB1 must be archived in DB2 for long-term storage.
All of the reports that are executed from DB2 must use aggregation.
Users must be able to pause DB2 when the data warehouse is not in use.
Users must be able to view previous versions of the data in DB2 by using aggregates.
Relecloud identifies the following requirements for extract, transformation, and load (ETL):
Data movement between DB1 and DB2 must occur each hour.
An email alert must be generated when a failure of any type occurs during ETL processing.
Sample code and data:
You execute the following code for a table named rls_table1.
You use the following code to create Table1.
create table table1
(customerid int,
salespersonid int
…
)
Go
The following is a sample of the streaming data.
You need to implement rls_table1.
Which code should you execute? To answer, drag the appropriate values to the correct targets. Each value
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.
Select and Place:
Does this meet the goal?
Note: The 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 identify purchasing fraud.
You need to design a solution that mines 10 terabytes (TB) of sales date. 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?
Which three actions should you perform in sequence?
DRAG DROP
Overview:
Relecloud is a social media company that processes hundreds of millions of social media posts per day and
sells advertisements to several hundred companies.
Relecloud has a Microsoft SQL Server database named DB1 that stores information about the advertisers. DB1
is hosted on a Microsoft Azure virtual machine.
Relecloud has two main offices. The offices are located in San Francisco and New York City.
The offices connect to each other by using a site-to-site VPN. Each office connects directly to the Internet.
Relecloud modifies the pricing of its advertisements based on trending topics. Topics are considered to be
trending if they generate many mentions in a specific country during a 15-minute time frame. The highest
trending topics generate the highest advertising revenue.
Relecloud wants to deliver reports to the advertisers by using Microsoft Power BI. The reports will provide realtime data on trending topics, current advertising rates, and advertising costs for a given month.
Relecloud will analyze the trending topics data, and then store the data in a new data warehouse for ad-hoc
analysis. The data warehouse is expected to grow at a rate of 1 GB per hour or 8.7 terabytes (TB) per year.
The data will be retained for five years for the purpose of long-term trending.
Requirements:
Management at Relecloud must be able to view which topics are trending to adjust advertising rates in near
real-time.
Relecloud plans to implement a new streaming analytics platform that will report on trending topics.
Relecloud plans to implement a data warehouse named DB2.Relecloud identifies the following technical requirements:
Social media data must be analyzed to identify trending topics in real-time.
The use of Infrastructure as a Service (IaaS) platforms must minimized, whenever possible.
The real-time solution used to analyze the social media data must support scaling up and down without
service interruption.
Relecloud identifies the following technical requirements for the advertisers:
The advertisers must be able to see only their own data in the Power BI reports.
The advertisers must authenticate to Power BI by using Azure Active Directory (Azure AD) credentials.
The advertisers must be able to leverage existing Transact-SQL language knowledge when developing the
real-time streaming solution.
Members of the internal advertising sales team at Relecloud must be able to see only the sales date of the
advertisers to which they are assigned.
The internal Relecloud advertising sales team must be prevented from inserting, updating, and deleting
rows for the advertisers to which they are not assigned.
The internal Relecloud advertising sales team must be able to use a text file to update the list of advertisers,
and then to upload the file to Azure Blob storage.
Relecloud identifies the following requirements for DB1:
Data generated by the streaming analytics platform must be stored in DB1.
The user names of the advertisers must be mapped to CustomerID in a table named Table2.
The advertisers in DB1 must be stored in a table named Table1 and must be refreshed nightly.
The user names of the employees at Relecloud must be mapped to EmployeeID in a table named Table3.
Relecloud identifies the following requirements for DB2:
DB2 must have minimal storage costs.
DB2 must run load processes in parallel.
DB2 must support massive parallel processing.
DB2 must be able to store more than 40 TB of data.
DB2 must support scaling up and down, as required.
Data from DB1 must be archived in DB2 for long-term storage.
All of the reports that are executed from DB2 must use aggregation.
Users must be able to pause DB2 when the data warehouse is not in use.
Users must be able to view previous versions of the data in DB2 by using aggregates.
Relecloud identifies the following requirements for extract, transformation, and load (ETL):
Data movement between DB1 and DB2 must occur each hour.
An email alert must be generated when a failure of any type occurs during ETL processing.
Sample code and data:
You execute the following code for a table named rls_table1.
You use the following code to create Table1.
create table table1
(customerid int,
salespersonid int
…
)
Go
The following is a sample of the streaming data.
You need to implement a solution that meets the data refresh requirement for DB1.
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.
Select and Place:
How should you complete the query?
DRAG DROP
Overview:
Relecloud is a social media company that processes hundreds of millions of social media posts per day and
sells advertisements to several hundred companies.
Relecloud has a Microsoft SQL Server database named DB1 that stores information about the advertisers. DB1
is hosted on a Microsoft Azure virtual machine.
Relecloud has two main offices. The offices are located in San Francisco and New York City.
The offices connect to each other by using a site-to-site VPN. Each office connects directly to the Internet.
Relecloud modifies the pricing of its advertisements based on trending topics. Topics are considered to be
trending if they generate many mentions in a specific country during a 15-minute time frame. The highest
trending topics generate the highest advertising revenue.
Relecloud wants to deliver reports to the advertisers by using Microsoft Power BI. The reports will provide realtime data on trending topics, current advertising rates, and advertising costs for a given month.
Relecloud will analyze the trending topics data, and then store the data in a new data warehouse for ad-hoc
analysis. The data warehouse is expected to grow at a rate of 1 GB per hour or 8.7 terabytes (TB) per year.
The data will be retained for five years for the purpose of long-term trending.
Requirements:
Management at Relecloud must be able to view which topics are trending to adjust advertising rates in near
real-time.
Relecloud plans to implement a new streaming analytics platform that will report on trending topics.
Relecloud plans to implement a data warehouse named DB2.
Relecloud identifies the following technical requirements:
Social media data must be analyzed to identify trending topics in real-time.
The use of Infrastructure as a Service (IaaS) platforms must minimized, whenever possible.
The real-time solution used to analyze the social media data must support scaling up and down without
service interruption.
Relecloud identifies the following technical requirements for the advertisers:
The advertisers must be able to see only their own data in the Power BI reports.
The advertisers must authenticate to Power BI by using Azure Active Directory (Azure AD) credentials.
The advertisers must be able to leverage existing Transact-SQL language knowledge when developing the
real-time streaming solution.
Members of the internal advertising sales team at Relecloud must be able to see only the sales date of the
advertisers to which they are assigned.
The internal Relecloud advertising sales team must be prevented from inserting, updating, and deleting
rows for the advertisers to which they are not assigned.
The internal Relecloud advertising sales team must be able to use a text file to update the list of advertisers,
and then to upload the file to Azure Blob storage.
Relecloud identifies the following requirements for DB1:
Data generated by the streaming analytics platform must be stored in DB1.
The user names of the advertisers must be mapped to CustomerID in a table named Table2.The advertisers in DB1 must be stored in a table named Table1 and must be refreshed nightly.
The user names of the employees at Relecloud must be mapped to EmployeeID in a table named Table3.
Relecloud identifies the following requirements for DB2:
DB2 must have minimal storage costs.
DB2 must run load processes in parallel.
DB2 must support massive parallel processing.
DB2 must be able to store more than 40 TB of data.
DB2 must support scaling up and down, as required.
Data from DB1 must be archived in DB2 for long-term storage.
All of the reports that are executed from DB2 must use aggregation.
Users must be able to pause DB2 when the data warehouse is not in use.
Users must be able to view previous versions of the data in DB2 by using aggregates.
Relecloud identifies the following requirements for extract, transformation, and load (ETL):
Data movement between DB1 and DB2 must occur each hour.
An email alert must be generated when a failure of any type occurs during ETL processing.
Sample code and data:
You execute the following code for a table named rls_table1.
You use the following code to create Table1.
create table table1
(customerid int,
salespersonid int
…
)
Go
The following is a sample of the streaming data.
You need to create a query that identifies the trending topics.
How should you complete the query? To answer, drag the appropriate values to the correct targets. Each value
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.
Select and Place:
