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NEW QUESTION: 1
CORRECT TEXT
Problem Scenario 37 : ABCTECH.com has done survey on their Exam Products feedback using a web based form. With the following free text field as input in web ui.
Name: String
Subscription Date: String
Rating : String
And servey data has been saved in a file called spark9/feedback.txt
Christopher|Jan 11, 2015|5
Kapil|11 Jan, 2015|5
Thomas|6/17/2014|5
John|22-08-2013|5
Mithun|2013|5
Jitendra||5
Write a spark program using regular expression which will filter all the valid dates and save in two separate file (good record and bad record)
Answer:
Explanation:
See the explanation for Step by Step Solution and configuration.
Explanation:
Solution :
Step 1 : Create a file first using Hue in hdfs.
Step 2 : Write all valid regular expressions sysntex for checking whether records are having valid dates or not.
val regl =......(\d+)\s(\w{3})(,)\s(\d{4}).......r//11 Jan, 2015
val reg2 =......(\d+)(U)(\d+)(U)(\d{4})......s II 6/17/2014
val reg3 =......(\d+)(-)(\d+)(-)(\d{4})""".r//22-08-2013
val reg4 =......(\w{3})\s(\d+)(,)\s(\d{4})......s II Jan 11, 2015
Step 3 : Load the file as an RDD.
val feedbackRDD = sc.textFile("spark9/feedback.txt"}
Step 4 : As data are pipe separated , hence split the same. val feedbackSplit = feedbackRDD.map(line => line.split('|'))
Step 5 : Now get the valid records as well as , bad records.
val validRecords = feedbackSplit.filter(x =>
(reg1.pattern.matcher(x(1).trim).matches|reg2.pattern.matcher(x(1).trim).matches|reg3.patt ern.matcher(x(1).trim).matches | reg4.pattern.matcher(x(1).trim).matches)) val badRecords = feedbackSplit.filter(x =>
!(reg1.pattern.matcher(x(1).trim).matches|reg2.pattern.matcher(x(1).trim).matches|reg3.pat tern.matcher(x(1).trim).matches | reg4.pattern.matcher(x(1).trim).matches))
Step 6 : Now convert each Array to Strings
val valid =vatidRecords.map(e => (e(0),e(1),e(2)))
val bad =badRecords.map(e => (e(0),e(1),e(2)))
Step 7 : Save the output as a Text file and output must be written in a single tile, valid.repartition(1).saveAsTextFile("spark9/good.txt") bad.repartition(1).saveAsTextFile("sparkS7bad.txt")

NEW QUESTION: 2
When a customer wants to get sales numbers by day, how is data stored in the Star Schema, if the data is loaded nightly?
A. The highest level of aggregation
B. Multiple levels of aggregation
C. The lowest level of aggregation
D. Independently from aggregation level
Answer: A
Explanation:
Aggegated by days.

NEW QUESTION: 3
Your marketing team creates a new website that you must load balance for 99.99 percent availability.
You need to deploy and configure a solution for both machines in the Web-AS availability set to load balance the website over HTTP. The solution must use the load balancer your resource group.
What should you do from the Azure portal?
Answer:
Explanation:
See explanation below.
Explanation
To distribute traffic to the VMs in the availability set, a back-end address pool contains the IP addresses of the virtual NICs that are connected to the load balancer. Create the back-end address pool to include the VMs in the availability set.
Step 1:
Select All resources on the left menu, and then select LoadBalancer from the resource list.
Step 2:
Under Settings, select Backend pools, and then select Add.
Step 3:
On the Add a backend pool page, select the Web-AS availability set, and then select OK:

References:
https://docs.microsoft.com/en-us/azure/load-balancer/quickstart-create-basic-load-balancer-portal
Topic 4, Contoso Case StudyOverview
Contoso, Ltd. is a consulting company that has a main office in Montreal and two branch offices in Seattle and New York.
The Montreal office has 2,000 employees. The Seattle office has 1,000 employees. The New York office has
200 employees.
All the resources used by Contoso are hosted on-premises.
Contoso creates a new Azure subscription. The Azure Active Directory (Azure AD) tenant uses a domain named contoso.onmicrosoft.com. The tenant uses the P1 pricing tier.
Existing Environment
The network contains an Active Directory forest named contoso.com. All domain controllers are configured as DNS servers and host the contoso.com DNS zone.
Contoso has finance, human resources, sales, research, and information technology departments. Each department has an organizational unit (OU) that contains all the accounts of that respective department. All the user accounts have the department attribute set to their respective department. New users are added frequently.
Contoso.com contains a user named User1.
All the offices connect by using private links.
Contoso has data centers in the Montreal and Seattle offices. Each data center has a firewall that can be configured as a VPN device.
All infrastructure servers are virtualized. The virtualization environment contains the servers in the following table.

Contoso uses two web applications named App1 and App2. Each instance on each web application requires
1GB of memory.
The Azure subscription contains the resources in the following table.

The network security team implements several network security groups (NSGs).
Planned Changes
Contoso plans to implement the following changes:
* Deploy Azure ExpressRoute to the Montreal office.
* Migrate the virtual machines hosted on Server1 and Server2 to Azure.
* Synchronize on-premises Active Directory to Azure Active Directory (Azure AD).
* Migrate App1 and App2 to two Azure web apps named webApp1 and WebApp2.
Technical requirements
Contoso must meet the following technical requirements:
* Ensure that WebApp1 can adjust the number of instances automatically based on the load and can scale up to five instance*.
* Ensure that VM3 can establish outbound connections over TCP port 8080 to the applications servers in the Montreal office.
* Ensure that routing information is exchanged automatically between Azure and the routers in the Montreal office.
* Enable Azure Multi-Factor Authentication (MFA) for the users in the finance department only.
* Ensure that webapp2.azurewebsites.net can be accessed by using the name app2.contoso.com.
* Connect the New Your office to VNet1 over the Internet by using an encrypted connection.
* Create a workflow to send an email message when the settings of VM4 are modified.
* Cre3te a custom Azure role named Role1 that is based on the Reader role.
* Minimize costs whenever possible.