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NEW QUESTION: 1
You have an application running on Amazon EC2 in an Auto Scaling group. Instances are being bootstrapped dynamically, and the bootstrapping takes over 15 minutes to complete. You find that instances are reported by Auto Scaling as being In Service before bootstrapping has completed. You are receiving application alarms related to new instances before they have completed bootstrapping, which is causing confusion. You find the cause: your application monitoring tool is polling the Auto Scaling Service API for instances that are In Service, and creating alarms for new previously unknown instances. Which of the following will ensure that new instances are not added to your application monitoring tool before bootstrapping is completed?
A. Tag all instances on launch to identify that they are in a pending state. Change your application monitoring tool to look for this tag before adding new instances, and the use the Amazon API to set the instance state to 'pending' until bootstrapping is complete.
B. Increase the desired number of instances in your Auto Scaling group configuration to reduce the time it takes to bootstrap future instances.
C. Create an Auto Scaling group lifecycle hook to hold the instance in a pending: wait state until your bootstrapping is complete. Once bootstrapping is complete, notify Auto Scaling to complete the lifecycle hook and move the instance into a pending:proceed state.
D. Use the default Amazon Cloud Watch application metrics to monitor your application's health.
Configure an Amazon SNS topic to send these Cloud Watch alarms to the correct recipients.
Answer: C
Explanation:
Explanation
Auto Scaling lifecycle hooks enable you to perform custom actions as Auto Scaling launches or terminates instances. For example, you could install or configure software on newly launched instances, or download log files from an instance before it terminates.
After you add lifecycle hooks to your Auto Scaling group, they work as follows:
1. Auto Scaling responds to scale out events by launching instances and scale in events by terminating instances.
2. Auto Scaling puts the instance into a wait state (Pending:Wait orTerminating:Wait). The instance remains in this state until either you tell Auto Scaling to continue or the timeout period ends.
For more information on rolling updates, please visit the below link:
* http://docs.aws.amazon.com/autoscaling/latest/userguide/lifecycle-hooks.html

NEW QUESTION: 2
A protection policy with snapshot and replication rules is applied to a file system. What is the result?
A. Applying the protection policy to the file system fails
B. Snapshot rules get ignored and only replication rules get applied
C. Replication rules get ignored and only snapshot rules get applied
D. Both replication and snapshot rules get applied
Answer: C
Explanation:
Reference: https://www.dell.com/support/manuals/en-pk/powerstore/pwrstr-protect-data/data-protection-in- powerstore?guid=guid-19c6d0e1-fa20-4fb5-9983-61c17abaf21b&lang=en-us

NEW QUESTION: 3
ソルトと暗号化ハッシュをパスワードに適用してから、プロセスを何度も繰り返すプロセスは、次のどれとして知られていますか？
A. 耐衝突性
B. ブルートフォース攻撃
C. キーストレッチング
D. レインボーテーブル
Answer: C

NEW QUESTION: 4
You have a database that contains the tables shown in the exhibit. (Click the Exhibit button).

You need to create a query for a report. The query must meet the following requirements:
NOT use object delimiters.
Return the most recent orders first.
Use the first initial of the table as an alias.
Return the most recent order date for each customer.
Retrieve the last name of the person who placed the order.
Return the order date in a column named MostRecentOrderDate that appears as the last column in the report.
The solution must support the ANSI SQL-99 standard.
Which code segment should you use?
To answer, type the correct code in the answer area.
A. SELECT c.CustomerID --optional c.LastName, max(o.OrderDate) 'MostRecentOrderDate' FROM Customer c LEFT OUTER JOIN Orders o ON o.CustomerID = c.CustomerID GROUP BY c.CustomerID, c.LastName ORDER BY 3 DESC
B. SELECT LastName, O.OrderDate AS MostRecentOrderDate FROM Customers AS C INNER JOIN Orders AS O ON CustomerID = O.CustomerID ORDER BY O.OrderDate DESC
C. select C.Lastname, P.MostRecentOrderDate from customers AS C inner join ( select customID, MostRecentOrderDate=max(orderDate) from orders group by customID
)P
on C.customerID=P.CustomerID
order by P.MostRecentOrderDate desc
Answer: A
Explanation:
--Burgos -NO Command equal to Derek, but without subquery. I Think that is better put c. CustomerID to identifies duplicated LastName. I used "OUTER JOIN" to permit that customers that had "no orders" appears too. SELECT c.CustomerID --optional c.LastName, max(o.OrderDate) 'MostRecentOrderDate' FROM Customer c LEFT OUTER JOIN Orders o ON o.CustomerID = c.CustomerID GROUP BY c.CustomerID, c.LastName ORDER BY o.OrderDate DESC --\Burgos
According to the table spec, lastname is not unique key. So my answer is
select C.Lastname, P.MostRecentOrderDate from customers AS C inner join ( select customID, MostRecentOrderDate=max(orderDate) from orders group by customID )P on C.customerID=P.CustomerID order by P.MostRecentOrderDate desc
--Derek =================================== The previous one missed "Group By" and did not consider the case of duplicate last names. SELECT C.LastName, O.OrderDate AS MostRecentOrderDate FROM Customers AS C INNER JOIN Orders AS O ON C.CustomerID = O.CustomerID ORDER BY O.OrderDate DESC