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NEW QUESTION: 1
Contingency Tables are used to perform which of these functions?
A. Illustrate one-tail proportions
B. Analyze the "what if" scenario
C. Contrast the Outliers under the tail
D. Compare more than two sample proportions with each other
Answer: D
Explanation:
Explanation/Reference:
Explanation:
NEW QUESTION: 2
A DevOps engineer notices that all Amazon EC2 instances running behind an Application Load Balancer in an Auto Scaling group are failing to respond to user requests. The EC2 instances are also failing target group HTTP health checks.
Upon inspection, the engineer notices the application process was not running in any EC2 instances. There are a significant number of out of memory messages in the system logs. The engineer needs to improve the resilience of the application to cope with a potential application memory leak. Monitoring and notifications should be enabled to alert when there is an issue.
Which combination of actions will meet these requirements? {Select TWO.)
A. Enable the available memory consumption metric within the Amazon CloudWatch dashboard for the entire Auto Scaling group. Create an alarm when the memory utilization is high. Associate an E.
Amazon SNS topic to the alarm to receive notifications when the alarm goes off.
B. Change the target group health checks from HTTP to TCP to check if the port where the application is listening is reachable.
C. Change the target group health check HealthChecklntervalSeconds parameter to reduce the interval between health checks.
D. Change the Auto Scaling configuration to replace the instances when they fail the load balancer's health checks.
E. Use the Amazon CloudWatch agent to collect the memory utilization of the EC2 instances in the Auto Scaling group. Create an alarm when the memory utilization is high and associate an Amazon SNS topic to receive a notification.
Answer: C,E
NEW QUESTION: 3
CORRECT TEXT
Problem Scenario 61 : You have been given below code snippet.
val a = sc.parallelize(List("dog", "salmon", "salmon", "rat", "elephant"), 3) val b = a.keyBy(_.length) val c = sc.parallelize(List("dog","cat","gnu","salmon","rabbit","turkey","wolf","bear","bee"), 3) val d = c.keyBy(_.length) operationl
Write a correct code snippet for operationl which will produce desired output, shown below.
Array[(lnt, (String, Option[String]}}] = Array((6,(salmon,Some(salmon))),
(6,(salmon,Some(rabbit))),
(6,(salmon,Some(turkey))), (6,(salmon,Some(salmon))), (6,(salmon,Some(rabbit))),
(6,(salmon,Some(turkey))), (3,(dog,Some(dog))), (3,(dog,Some(cat))),
(3,(dog,Some(dog))), (3,(dog,Some(bee))), (3,(rat,Some(dogg)), (3,(rat,Some(cat)j),
(3,(rat.Some(gnu))). (3,(rat,Some(bee))), (8,(elephant,None)))
Answer:
Explanation:
See the explanation for Step by Step Solution and configuration.
Explanation:
Solution :
b.leftOuterJoin(d}.collect
leftOuterJoin [Pair]: Performs an left outer join using two key-value RDDs. Please note that the keys must be generally comparable to make this work keyBy : Constructs two- component tuples (key-value pairs) by applying a function on each data item. Trie result of the function becomes the key and the original data item becomes the value of the newly created tuples.