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NEW QUESTION: 1
Using a date column as a distribution key may distribute rows evenly across dataslices, why is this a poor choice of a distribution key?
A. Queries on the table will invoke compression on the date columns.
B. Queries on date range may involve processing skew.
C. Queries on the table will invoke compression.
D. Queries on date range will utilize only host processing.
Answer: B

NEW QUESTION: 2
You work for an insurance company and are responsible for the day-to-day operations of your company's online quote system used to provide insurance quotes to members of the public. Your company wants to use the application logs generated by the system to better understand customer behavior. Industry, regulations also require that you retain all application logs for the system indefinitely in order to investigate fraudulent claims in the future. You have been tasked with designing a log management system with the following requirements:
- All log entries must be retained by the system, even during unplanned instance failure.
- The customer insight team requires immediate access to the logs from the past seven days.
- The fraud investigation team requires access to all historic logs, but will wait up to 24 hours before these logs are available.
How would you meet these requirements in a cost-effective manner? Choose three answers from the options below
A. Configure your application to write logs to the instance's default Amazon EBS boot volume, because this storage already exists. Create a script that moves the logs from the instance to Amazon S3 once an hour.
B. Configure your application to write logs to the instance's ephemeral disk, because this storage is free and has good write performance. Create a script that moves the logs from the instance to Amazon S3 once an hour.
C. Configure your application to write logs to a separate Amazon EBS volume with the "delete on termination" field set to false. Create a script that moves the logs from the instance to Amazon S3 once an hour.
D. Create a housekeeping script that runs on a T2 micro instance managed by an Auto Scaling group for high availability. The script uses the AWS API to identify any unattached Amazon EBS volumes containing log files. Your housekeeping script will mount the Amazon EBS volume, upload all logs to Amazon S3, and then delete the volume.
E. Write a script that is configured to be executed when the instance is stopped or terminated and that will upload any remaining logs on the instance to Amazon S3.
F. Create an Amazon S3 lifecycle configuration to move log files from Amazon S3 to Amazon Glacier after seven days.
Answer: C,D,F
Explanation:
Explanation
Since all logs need to be stored indefinitely. Glacier is the best option for this. One can use Lifecycle events to stream the data from S3 to Glacier Lifecycle configuration enables you to specify the lifecycle management of objects in a bucket. The configuration is a set of one or more rules, where each rule defines an action for Amazon S3 to apply to a group of objects. These actions can be classified as follows:
* Transition actions - In which you define when objects transition to another storage class. For example, you may choose to transition objects to the STANDARDJA QK for infrequent access) storage class 30 days after creation, or archive objects to the GLACIER storage class one year after creation.
* Expiration actions - In which you specify when the objects expire. Then Amazon S3 deletes the expired objects on your behalf. For more information on Lifecycle events, please refer to the below link:
* http://docs.aws.amazon.com/AmazonS3/latest/dev/object-lifecycle-mgmt.html
You can use scripts to put the logs onto a new volume and then transfer those logs to S3.
Note:
Moving the logs from CBS volume to S3 we have some custom scripts running in the background.
Inorder to ensure the minimum memory requirements for the OS and the applications for the script to execute we can use a cost effective ec2 instance.
Considering the computing resource requirements of the instance and the cost factor a tZmicro instance can be used in this case.
The following link provides more information on various t2 instances.
https://docs.aws.amazon.com/AWSCC2/latest/WindowsGuide/t2-instances.html Question is "How would you meet these requirements in a cost-effective manner? Choose three answers from the options below" So here user has to choose the 3 options so that the requirement is fulfilled. So in the given 6 options, options C, C and F fulfill the requirement.
" The CC2s use CBS volumes and the logs are stored on CBS volumes those are marked for non-termination"
- is one of the way to fulfill requirement. So this shouldn't be a issue.

NEW QUESTION: 3
You have a requirement that the system must convert text entered by a user to all UPPERCASE before it is saved. Which method should you use to accomplish this? (Choose One)
A. Use an Edit Input rule on the field so that the text (value) is transformed to UPPERCASE on save
B. Use a validate rule on the field to enforce users to enter the text in UPPERCASE
C. Create an action set which invokes a function to change to the text to UPPERCASE when the value changes
D. Invoke a data transform which invokes a function to change the text to UPPERCASE when the value changes
Answer: A
Explanation:
Explanation/Reference:
An edit input rule can convert all characters to lower or uppercase, delete certain characters, or truncate the input to a maximum length.
Note: When users submit an HTML form, data is transmitted to the Web server in normal HTTP format and is then stored by Process Commander on a user's clipboard, using the property name from the HTML form.
Text box example
For example, the source HTML for a text box can look like:
<INPUT TYPE=TEXT NAME=myPage.myPropertyName SIZE=30 >
In this example, a user views a text box, enters data into it, and clicks a submit button. This action conveys the data that this user entered to myPage in the clipboard. The value the user entered becomes associated with myPropertyName.
To cause the system to convert user-entered data to data that the system can interpret, reference an edit input rule in the property rule. When a user submits the form, the system converts the data value associated with that property as instructed by the Java in the edit input rule. The system places only the converted value on a user's clipboard.
For example, an edit input rule can convert all characters to lower or uppercase, delete certain characters, or truncate the input to a maximum length.
References: http://cognizant-437.pegacloud.com/prhelp/rule-/rule-edit-/rule-edit-input/related.htm