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Exam Code: Analytics-Arch-201 Dumps

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NEW QUESTION: 1
A company is adopting AWS CodeDeploy to automate its application deployments for a Java-Apache Tomcat application with an Apache webserver. The Development team started with a proof of concept, created a deployment group for a developer environment, and performed functional tests within the application.
After completion, the team will create additional deployment groups for staging and production The current log level is configured within the Apache settings, but the team wants to change this configuration dynamically when the deployment occurs, so that they can set different log level configurations depending on the deployment group without having a different application revision for each group.
How can these requirements be met with the LEAST management overhead and without requiring different script versions for each deployment group?
A. Create a script that uses the CodeDeploy environment variable DEPLOYMENT_GROUP_ID to identify which deployment group the instance is part of to configure the log level settings. Reference this script as part of the Install lifecycle hook in the appspec.yml file.
B. Create a script that uses the CodeDeploy environment variable DEPLOYMENT_GROUP_NAME to identify which deployment group the instances is part of. Use this information to configure the log level settings. Reference this script as part of the BeforeInstall lifecycle hook in the appspec.yml file
C. Create a CodeDeploy custom environment variable for each environment. Then place a script into the application revision that checks this environment variable to identify which deployment group the instance is part of. Use this information to configure the log level settings. Reference this script as part of the ValidateService lifecycle hook in the appspec.yml file.
D. Tag the Amazon EC2 instances depending on the deployment group. Then place a script into the application revision that calls the metadata service and the EC2 API to identify which deployment group the instance is part of. Use this information to configure the log level settings. Reference the script as part of the Afterinstall lifecycle hook in the appspec.yml file.
Answer: B
Explanation:
Explanation
https://docs.aws.amazon.com/codedeploy/latest/userguide/reference-appspec-file-structure-hooks.html

NEW QUESTION: 2
You are implementing the indexing strategy for a fact table in a data warehouse. The fact table is named Quotes. The table has no indexes and consists of seven columns:
-------
[ID] [QuoteDate] [Open] [Close] [High] [Low] [Volume]
---
Each of the following queries must be able to use a columnstore index:
SELECT AVG ([Close]) AS [AverageClose] FROM Quotes WHERE [QuoteDate]
BETWEEN '20100101' AND '20101231'.
SELECT AVG([High] - [Low]) AS [AverageRange] FROM Quotes WHERE
[QuoteDate] BETWEEN '20100101' AND '20101231'.
SELECT SUM([Volume]) AS [SumVolume] FROM Quotes WHERE [QuoteDate]
BETWEEN '20100101' AND '20101231'.
You need to ensure that the indexing strategy meets the requirements. The strategy must also minimize the number and size of the indexes.
What should you do?
A. Create one columnstore index that contains [QuoteDate], [Close], [High], [Low], and
[Volume].
B. Create two columnstore indexes:
One containing [ID], [QuoteDate], [Volume], and [Close]
One containing [ID], [QuoteDate], [High], and [Low]
C. Create one columnstore index that contains [ID], [Close], [High], [Low], [Volume], and [QuoteDate].
D. Create three coiumnstore indexes:
One containing [QuoteDate] and [Close]
One containing [QuoteDate], [High], and [Low]
One containing [QuoteDate] and [Volume]
Answer: A
Explanation:
Reference: http://msdn.microsoft.com/en-us/library/gg492088.aspx
Reference: http://msdn.microsoft.com/en-us/library/gg492153.aspx

NEW QUESTION: 3

A. Option B
B. Option A
C. Option D
D. Option C
Answer: D


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